CN115330186A - Distributed energy storage resource multi-space-time scale aggregation method and system - Google Patents
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Abstract
The invention discloses a distributed energy storage resource multi-space-time scale aggregation method and a system, wherein the method comprises the steps of carrying out space division on users and distributed energy storage resources by taking geographical areas as space scales, determining the users and the distributed energy storage resources in each geographical area, and supplying power to the users in the same geographical area through the energy storage resources; time division is carried out by taking the power utilization time periods as time scales, and high power utilization users and low power utilization users in each power utilization time period are determined based on power utilization data of users; when power utilization scheduling is required to be carried out for a certain power utilization time period, surplus power provided by the energy storage resource for the low power utilization users is transferred and supplied to the high power utilization users, so that power complementation between the high power utilization users and the low power utilization users is achieved. The cloud energy storage system can solve the problem that a large amount of electricity is not used but has to be reserved without resource waste in the existing cloud energy storage, improves the utilization efficiency of distributed energy storage resources, and plays a role in saving energy and reducing cost.
Description
Technical Field
The invention relates to a cloud energy storage technology, in particular to a distributed energy storage resource multi-space-time scale aggregation method and system.
Background
Cloud energy storage is an energy storage service based on a power grid, a user can use distributed energy storage resources in a shared energy storage resource pool of the power grid level at any time, any place and according to needs, the cost of providing the energy storage service can be obviously reduced, the demand of a power system on energy storage is increased due to the rapid development of intermittent renewable energy sources such as wind power generation and solar power generation, the rapid development of shared economy brings new business opportunities for energy storage application, and the cloud energy storage based on energy storage facility sharing can become one of new morphological characteristics of the future power system. At present, cloud energy storage is based on the electricity quantity required by a user and the purchase on a platform, and then a cloud battery supplies power to the user, but based on the reason that the electricity consumption of the user in different time periods is different, a large amount of electricity is usually not used, but the electricity has to be reserved without resource waste. Therefore, how to realize the efficient utilization of resources in cloud energy storage becomes a key technical problem to be solved urgently.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: aiming at the problems in the prior art, the invention provides a distributed energy storage resource multi-space-time scale aggregation method and system, which can solve the problem that a large amount of electricity is not used but has to be reserved without causing resource waste in the existing cloud energy storage, improve the utilization efficiency of distributed energy storage resources, and play a role in saving energy and reducing cost.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a distributed energy storage resource multi-spatio-temporal scale aggregation method for cloud energy storage comprises the following steps:
1) The method comprises the steps that users and distributed energy storage resources are spatially divided by taking a geographic area as a spatial scale, the users and the distributed energy storage resources in each geographic area are determined, and the users in the same geographic area are supplied with power through the energy storage resources; time division is carried out by taking the power utilization time periods as time scales, and high power utilization users and low power utilization users in each power utilization time period are determined based on power utilization data of users;
2) When power utilization scheduling is needed for a certain power utilization time period, surplus power provided by the energy storage resources for the low-power-utilization users is transferred and supplied to the high-power-utilization users, so that power complementation between the high-power-utilization users and the low-power-utilization users is achieved.
Optionally, the step 2) of transferring and supplying surplus power provided by the energy storage resources for the low power consumption users to the high power consumption users includes at least one of transferring and supplying surplus power provided by the energy storage resources in the same geographic area for the low power consumption users to the high power consumption users, and transferring and supplying surplus power provided by the energy storage resources in different geographic areas for the low power consumption users to the high power consumption users.
Optionally, the step 2) of transferring and supplying surplus power provided by the energy storage resources for the low power consumption users to the high power consumption users means that surplus power provided by the energy storage resources in the same geographic area for the low power consumption users is preferentially transferred and supplied to the high power consumption users, and then surplus power provided by the energy storage resources in different geographic areas for the low power consumption users is transferred and supplied to the high power consumption users.
Optionally, preferentially supplying surplus power provided by energy storage resources in the same geographic area for low-power users to high-power users, and then supplying surplus power provided by energy storage resources in different geographic areas for low-power users to high-power users includes:
2.1 Traversing a geographic area as a current geographic area, and ending and exiting if the traversing fails; otherwise, skipping to the next step;
2.2 Traversing a high power utilization user in the current geographic area as the current high power utilization user, and skipping to the step 2.1 if the traversal fails); otherwise, skipping to the step 2.3);
2.3 Searching whether a low-power user which can satisfy the complementation with the current high-power user exists in the current geographical area, if so, replenishing surplus electric power provided by the energy storage resource of the current geographical area for the low-power user to the current high-power user, and skipping to the step 2.2); otherwise, skipping to step 2.4);
2.4 Sequentially searching whether a low-power user which can satisfy the complementation with a current high-power user exists in other geographic areas except the current geographic area, and the power loss cost between the current geographic area and other geographic areas where the low-power user exists is lower than the cost for purchasing power from the power grid, if a low-power user which can satisfy the complementation with the current high-power user exists and the power loss cost between the current geographic area and other geographic areas where the low-power user exists is lower than the cost for purchasing power from the power grid, replenishing surplus power provided by energy storage resources of other geographic areas for the low-power user to the current high-power user, and otherwise, directly purchasing power from the power grid to satisfy the power demand of the current high-power user; jump to step 2.2).
Optionally, the low power consumption user complementary to the current high power consumption user is: the sum of the electricity consumption of the current high-electricity user and the low-electricity user in the same time period does not exceed the specified number times of the electricity consumption peak value of the historical same time.
Optionally, the power consumption charge between the current geographic area and the other geographic area where the low-power user is located refers to the power consumption between the current geographic area and the other geographic area where the low-power user is located multiplied by the electricity price.
Optionally, the calculation function expression of the power loss between the current geographic area and the other geographic area where the low power consumption user is located is: p Damage to ＝I 2 R, wherein P Decrease in the thickness of the steel The power loss between the current geographic area and other geographic areas where the low-power users are located, I is the transmission current between the current geographic area and other geographic areas where the low-power users are located, and R is the conductor resistance between the current geographic area and other geographic areas where the low-power users are located.
In addition, the invention also provides a cloud energy storage system for applying the cloud energy storage-oriented distributed energy storage resource multi-space-time scale aggregation method, wherein the cloud energy storage system comprises a plurality of geographical area units and a master control unit, each geographical area unit comprises a bus, a plurality of users and energy storage resources which are respectively connected to the bus through cables, the energy storage resources comprise at least one of energy storage resources with rental use rights and self-built energy storage resources, each geographical area unit is provided with an intra-area power control unit for controlling power consumption of each user and power supply of the energy storage resources, the buses of each geographical area unit are connected through cables capable of bidirectionally transmitting power, the cables between the buses of each geographical area unit are connected in series with an inter-area power control unit for controlling power transmission, the intra-area power control unit and the inter-area power control unit are respectively connected with the master control unit, and the master control unit is programmed or configured to execute the steps of the cloud energy storage-oriented distributed energy storage resource multi-space-time scale aggregation method.
In addition, the invention also provides a distributed energy storage resource multi-spatiotemporal scale aggregation system for cloud energy storage, which comprises a microprocessor and a memory which are connected with each other, wherein the microprocessor is programmed or configured to execute the steps of the distributed energy storage resource multi-spatiotemporal scale aggregation method for cloud energy storage.
In addition, the present invention also provides a computer readable storage medium, in which a computer program is stored, and the computer program is used for being executed by a computer device to implement the steps of the cloud energy storage oriented distributed energy storage resource multi-spatiotemporal scale aggregation method.
Compared with the prior art, the invention mainly has the following advantages: the method comprises the steps of carrying out spatial division on users and distributed energy storage resources by taking a geographical area as a spatial scale, determining the users and the distributed energy storage resources in each geographical area, and supplying power to the users in the same geographical area through the energy storage resources; time division is carried out by taking the power utilization time periods as time scales, and high power utilization users and low power utilization users in each power utilization time period are determined based on power utilization data of users; when power utilization scheduling is needed in a certain power utilization time period, surplus power provided by energy storage resources for low-power-utilization users is transferred and supplied to high-power-utilization users, so that power complementation between the high-power-utilization users and the low-power-utilization users is realized.
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Fig. 1 is a schematic diagram of a basic principle of a method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating the division of the geographic area according to the first embodiment of the present invention.
Detailed Description
The first embodiment is as follows:
as shown in fig. 1, the method for aggregating distributed energy storage resources based on cloud energy storage in the embodiment includes:
1) The method comprises the steps that users and distributed energy storage resources are spatially divided by taking a geographic area as a spatial scale, the users and the distributed energy storage resources in each geographic area are determined, and the users in the same geographic area are supplied with power through the energy storage resources; time division is carried out by taking the power utilization time periods as time scales, and high power utilization users and low power utilization users in each power utilization time period are determined based on power utilization data of users;
2) When power utilization scheduling is needed for a certain power utilization time period, surplus power provided by the energy storage resources for the low-power-utilization users is transferred and supplied to the high-power-utilization users, so that power complementation between the high-power-utilization users and the low-power-utilization users is achieved.
In the step 1), the users and the distributed energy storage resources are spatially divided by taking the geographic areas as spatial scales, and the users and the distributed energy storage resources in each geographic area are determined, so that the spatial granularity of the geographic areas is realized. In the step 1), when the electricity utilization time period is used as the time scale for time division, users represented by high-electricity users and low-electricity users in different time periods are different, namely the high-electricity users in the previous time period are possible to become low-electricity users in the next time period, and similarly, the low-electricity users are also possible to become high-electricity users, so that the time granularity of the electricity utilization time period is realized. The spatial granularity of the geographical region and the time granularity of the electricity utilization time period are combined, so that the multi-space-time scale aggregation of the energy storage resources can be realized.
It should be noted that the division of the geographic area in step 1) may be selected as needed according to the actual distribution conditions of the users and the energy storage resources, and the overall principle is that the energy storage resources meet the energy requirements of the users. Fig. 2 is a schematic diagram illustrating a principle of dividing geographic areas in this embodiment, where dashed boxes in the diagram indicate 4 geographic areas, and distributed energy storage resource facilities in different geographic areas are connected by cables, so that electric power in each distributed energy storage resource facility can circulate; the circles in fig. 2 represent users, the triangles represent energy storage resources, and the energy storage resources are distributed due to the relatively dispersed positions, so that distributed energy storage resources are formed. It should be noted that, since the electricity consumption time of all users is generally in a common law, the energy storage resource is generally charged at a fixed time, for example, at 2. However, in certain geographical areas where there is no common law as described above, the energy storage resource may also be considered directly unavailable at the time of charging. The energy storage resources in each geographic area can be energy storage resources leased by a cloud energy storage service provider or self-built energy storage resources. Referring to fig. 2, b, c, and d are three leased energy storage resources, and since there are many users distributed among b, c, and d, in this case, b, c, and d are connected through the self-established energy storage resource a, so that energy aggregation can be performed through the self-established energy storage resource a (centralized energy storage resource facility), which is convenient for wiring and scheduling, and meanwhile, the capacity expansion of the total capacity of the energy storage resources in the geographic area can be realized to meet the power demand of the users in the geographic area. The cloud energy storage provider obtains the use right of the distributed energy storage resources from a power grid in a renting or self-building mode, the cloud energy storage provider makes a price, a user determines how much cloud battery capacity to purchase according to the self power utilization condition, the required battery capacity of the user and the difference between the battery capacities provided by the energy storage resources are resources which are not used but have to be reserved without resource waste, namely a large amount of electric quantity in the existing cloud energy storage, the utilization efficiency of the distributed energy storage resources can be improved by utilizing the resources, and the effects of saving energy and reducing cost are achieved.
When determining high-power-consumption users and low-power-consumption users in each power consumption time period based on the power consumption data of the users in the step 1), collecting the power consumption data of the users in each time period by taking the power consumption time period as a time scale, and analyzing the power consumption peak time period of each user.
In this embodiment, the step 2) of transferring and supplying the surplus power provided by the energy storage resource for the low power consumption user to the high power consumption user means that the surplus power provided by the energy storage resource for the low power consumption user in the same geographic area is transferred and supplied to the high power consumption user. The method for transferring and supplying surplus power provided by the energy storage resources in the same geographic area to the high-power-consumption users comprises the following steps: and sequentially traversing the high power utilization users in each geographic area, judging whether a low power utilization user which is complementary with the current high power utilization user exists in the same geographic area or not when one high power utilization user is selected in each traversal, and transferring surplus power which is provided by energy storage resources in the same geographic area for the low power utilization user to the high power utilization user if the low power utilization user which is complementary with the current high power utilization user exists in the same geographic area so as to realize the power complementation between the high power utilization user and the low power utilization user. Wherein, the low power consumption user complementary with the current high power consumption user means: the sum of the power consumption of the current high-power user and the low-power user in the same time period is not more than a specified number times (for example, twice in the embodiment) of the power consumption peak value of the historical same time. Through the mode, the problem that a large amount of electricity is not used but has to be reserved without resource waste in the existing cloud energy storage can be solved, the utilization efficiency of distributed energy storage resources is improved, and the effect of saving energy and reducing cost is achieved.
In addition, the invention also provides a cloud energy storage system for applying the cloud energy storage-oriented distributed energy storage resource multi-space-time scale aggregation method, wherein the cloud energy storage system comprises a plurality of geographical area units and a master control unit, each geographical area unit comprises a bus, a plurality of users and energy storage resources which are respectively connected to the bus through cables, the energy storage resources comprise at least one of energy storage resources with rental use rights and self-built energy storage resources, each geographical area unit is provided with an intra-area power control unit for controlling power consumption of each user and power supply of the energy storage resources, the buses of each geographical area unit are connected through cables capable of bidirectionally transmitting power, the cables between the buses of each geographical area unit are connected in series with an inter-area power control unit for controlling power transmission, the intra-area power control unit and the inter-area power control unit are respectively connected with the master control unit, and the master control unit is programmed or configured to execute the steps of the cloud energy storage-oriented distributed energy storage resource multi-space-time scale aggregation method. When the distributed energy storage resource facilities in different geographic regions are communicated through the cables, the self-built energy storage resources (centralized energy storage resource facilities) are planned among the distributed energy storage resource facilities to establish the centralized energy storage resource facilities as a transfer, and are invested and constructed by cloud energy storage providers, and the centralized energy storage resource facilities also have the function of energy storage resources so as to reduce the difficulty in communication among the distributed energy storage resource facilities in different geographic regions.
In addition, the embodiment also provides a cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation system, which includes a microprocessor and a memory connected to each other, where the microprocessor is programmed or configured to execute the steps of the foregoing cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation method.
In addition, the present embodiment also provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program is used for being executed by a computer device to implement the foregoing steps of the cloud energy storage oriented distributed energy storage resource multi-spatiotemporal scale aggregation method.
Example two:
the present embodiment is substantially the same as the first embodiment, and the main differences are as follows: in this embodiment, the step 2) of transferring and supplying surplus power, which is provided by the energy storage resource for the low power consumption user, to the high power consumption user means performing "spatial regulation", that is: and surplus power provided by energy storage resources in different geographical areas for low-power-consumption users is transferred and supplied to high-power-consumption users.
In this embodiment, transferring and supplying surplus power provided by energy storage resources in different geographic areas to low-power users to high-power users includes: and sequentially traversing the high power utilization users in each geographic area, judging whether low power utilization users which are complementary with the current high power utilization users exist in different geographic areas or not when one high power utilization user is selected in each traversal process, and transferring surplus power provided by energy storage resources in the geographic area where the low power utilization users are located for the low power utilization users to the high power utilization users if the low power utilization users which are complementary with the current high power utilization users exist in the geographic area so as to realize the power complementation of the high power utilization users and the low power utilization users. Wherein, the low power consumption user complementary with the current high power consumption user means: the sum of the power consumption of the current high-power user and the power consumption of the low-power user in the same time period is not more than a specified number times (for example, twice in the present embodiment) of the power consumption peak value of the historical same time. Through the mode, the problem that a large amount of electricity is not used but has to be reserved without resource waste in the existing cloud energy storage can be solved, the utilization efficiency of distributed energy storage resources is improved, and the effect of saving energy and reducing cost is achieved.
In addition, the invention also provides a cloud energy storage system for applying the cloud energy storage-oriented distributed energy storage resource multi-space-time scale polymerization method, the cloud energy storage system comprises a plurality of geographical area units and a master control unit, each geographical area unit comprises a bus, and a plurality of users and energy storage resources which are respectively connected to the bus through cables, the energy storage resources comprise at least one of energy storage resources with lease right and self-established energy storage resources, each geographical area unit is provided with an intra-area power control unit for controlling power consumption of each user and power supply of the energy storage resources, the buses of each geographical area unit are connected through cables capable of bidirectionally transmitting power, the cables between the buses of each geographical area unit are connected in series with an inter-area power control unit for controlling power transmission, the intra-area power control unit and the inter-area power control unit are respectively connected with the master control unit, and the master control unit is programmed or configured to execute the steps of the cloud energy storage-oriented distributed energy storage resource multi-space-time scale polymerization method.
In addition, the embodiment also provides a cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation system, which comprises a microprocessor and a memory, which are connected with each other, wherein the microprocessor is programmed or configured to execute the steps of the cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation method.
In addition, the present embodiment also provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program is used for being executed by a computer device to implement the foregoing steps of the cloud energy storage oriented distributed energy storage resource multi-spatio-temporal scale aggregation method.
Example three:
the present embodiment is a further improvement of the second embodiment, and mainly aims to increase the power transmission loss between different geographic areas based on the second embodiment. In the second embodiment, "judging whether there are low power users complementary to the current high power users in different geographical areas" also needs to further increase the constraint condition of power consumption cost for the low power users meeting the condition, that is: the power loss cost between the geographical area where the low-power consumer is located and the geographical area where the high-power consumer is located is lower than the cost for purchasing power from the power grid. Wherein, the power loss expense refers to the power loss multiplied by the electricity price. The computational function expression of the power loss is: p Decrease in the thickness of the steel ＝I 2 R, wherein P Decrease in the thickness of the steel The power loss between the geographical areas of the low power users and the geographical areas of the high power users, I is the transmission current between the geographical areas of the low power users and the geographical areas of the high power users, and R is the conductor resistance between the geographical areas of the low power users and the geographical areas of the high power users. The embodiment calculates the power loss of power transmission between different geographic areas, and when the loss is lower than the cost of directly purchasing power from the power grid, the energy storage resource facilities in the geographic areas needing power supply are supplied with power by the energy storage resource facilities in other geographic areas, and when the loss of power transmission is higher than the cost of directly purchasing power from the power grid, the power is directly purchased from the power grid. Through the method, whether the cross-region regulation and control power can effectively reduce cost and save resources is confirmed by calculating the power loss of power transmission between different geographic regions, so that the cost rise caused by cross-region power transmission is avoided, unnecessary invalid power supply between the geographic regions is reduced, and economic loss is prevented.
In addition, the invention also provides a cloud energy storage system for applying the cloud energy storage-oriented distributed energy storage resource multi-space-time scale aggregation method, wherein the cloud energy storage system comprises a plurality of geographical area units and a master control unit, each geographical area unit comprises a bus, a plurality of users and energy storage resources which are respectively connected to the bus through cables, the energy storage resources comprise at least one of energy storage resources with rental use rights and self-built energy storage resources, each geographical area unit is provided with an intra-area power control unit for controlling power consumption of each user and power supply of the energy storage resources, the buses of each geographical area unit are connected through cables capable of bidirectionally transmitting power, the cables between the buses of each geographical area unit are connected in series with an inter-area power control unit for controlling power transmission, the intra-area power control unit and the inter-area power control unit are respectively connected with the master control unit, and the master control unit is programmed or configured to execute the steps of the cloud energy storage-oriented distributed energy storage resource multi-space-time scale aggregation method.
In addition, the embodiment also provides a cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation system, which comprises a microprocessor and a memory, which are connected with each other, wherein the microprocessor is programmed or configured to execute the steps of the cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation method.
In addition, the present embodiment also provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program is used for being executed by a computer device to implement the foregoing steps of the cloud energy storage oriented distributed energy storage resource multi-spatiotemporal scale aggregation method.
Example four:
in this embodiment, the first embodiment and the second embodiment are fused, so that the electricity replenishment range of the geographic area can be increased. In this embodiment, the step 2) of transferring the surplus power provided by the energy storage resource for the low power consumption user to the high power consumption user means that the surplus power provided by the energy storage resource for the low power consumption user in the same geographic area is preferentially transferred to the high power consumption user, and then the surplus power provided by the energy storage resource for the low power consumption user in different geographic areas is transferred to the high power consumption user. That is, the method of the second embodiment is preferably adopted to transfer the surplus power provided by the energy storage resources in different geographic areas for the low-power users to the high-power users when the surplus power provided by the energy storage resources in the same geographic area for the low-power users cannot meet the condition of purchasing power from the power grid.
In this embodiment, preferentially, the surplus power transfer that provides the energy storage resources in the same geographic area for the low power consumption users is supplied to the high power consumption users, and then the surplus power transfer that provides the energy storage resources in different geographic areas for the low power consumption users is supplied to the high power consumption users includes:
2.1 Traversing a geographic area as a current geographic area, and ending and exiting if the traversing fails; otherwise, skipping to the next step;
2.2 Traversing a high power utilization user in the current geographic area as the current high power utilization user, and skipping to the step 2.1 if the traversal fails); otherwise, skipping to the step 2.3);
2.3 Searching whether a low-power user which can satisfy the complementation with the current high-power user exists in the current geographical area, if so, replenishing surplus electric power provided by the energy storage resource of the current geographical area for the low-power user to the current high-power user, and skipping to the step 2.2); otherwise, skipping to step 2.4);
2.4 Sequentially searching whether a low-power user which can meet the complementation of the current high-power user exists in other geographic areas except the current geographic area, if the low-power user which can meet the complementation of the current high-power user exists, replenishing surplus power provided by energy storage resources of other geographic areas for the low-power user to the current high-power user, and otherwise, directly purchasing power from a power grid to meet the power demand of the current high-power user; jump to step 2.2). The low power consumption user complementary to the current high power consumption user refers to: the sum of the power consumption of the current high-power user and the power consumption of the low-power user in the same time period is not more than a specified number times (for example, twice in the present embodiment) of the power consumption peak value of the historical same time.
In this embodiment, the complementation between the high-power users and the low-power users is preferentially selected in the same geographic area, and when the reasonable complementation cannot be formed in the same geographic area, the high-power users and the low-power users in different geographic areas are selected for complementation, so that the utilization efficiency of the distributed energy storage resources can be further improved.
In addition, the invention also provides a cloud energy storage system for applying the cloud energy storage-oriented distributed energy storage resource multi-space-time scale aggregation method, wherein the cloud energy storage system comprises a plurality of geographical area units and a master control unit, each geographical area unit comprises a bus, a plurality of users and energy storage resources which are respectively connected to the bus through cables, the energy storage resources comprise at least one of energy storage resources with rental use rights and self-built energy storage resources, each geographical area unit is provided with an intra-area power control unit for controlling power consumption of each user and power supply of the energy storage resources, the buses of each geographical area unit are connected through cables capable of bidirectionally transmitting power, the cables between the buses of each geographical area unit are connected in series with an inter-area power control unit for controlling power transmission, the intra-area power control unit and the inter-area power control unit are respectively connected with the master control unit, and the master control unit is programmed or configured to execute the steps of the cloud energy storage-oriented distributed energy storage resource multi-space-time scale aggregation method.
In addition, the embodiment also provides a cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation system, which includes a microprocessor and a memory connected to each other, where the microprocessor is programmed or configured to execute the steps of the foregoing cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation method.
In addition, the present embodiment also provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program is used for being executed by a computer device to implement the foregoing steps of the cloud energy storage oriented distributed energy storage resource multi-spatio-temporal scale aggregation method.
Example five:
the present embodiment is a further improvement on the fourth embodiment, and mainly aims to solve the problem that the power transmission loss between different geographical areas is increased on the basis of the fourth embodiment. In the fourth embodiment, "when determining whether there are low power users complementary to the current high power users in different geographic areas," the constraint condition that power loss cost is further increased for the low power users meeting the condition is further included, in this embodiment, surplus power provided by energy storage resources in the same geographic area for the low power users is transferred and supplied to the high power users preferentially, and then surplus power provided by the energy storage resources in different geographic areas for the low power users is transferred and supplied to the high power users:
2.1 ) traversing a geographic area as the current geographic area, and ending and exiting if the traversing fails; otherwise, skipping to the next step;
2.2 Traversing a high power utilization user in the current geographic area as the current high power utilization user, and skipping to the step 2.1 if the traversal fails); otherwise, skipping to the step 2.3);
2.3 Searching whether a low-power user which can satisfy the complementation with the current high-power user exists in the current geographic area, if so, replenishing surplus power provided by the energy storage resource of the current geographic area for the low-power user to the current high-power user, and skipping to the step 2.2); otherwise, skipping to step 2.4);
2.4 Sequentially searching whether a low-power user which can satisfy the complementation with a current high-power user exists in other geographic areas except the current geographic area, and the power loss cost between the current geographic area and other geographic areas where the low-power user exists is lower than the cost for purchasing power from the power grid, if a low-power user which can satisfy the complementation with the current high-power user exists and the power loss cost between the current geographic area and other geographic areas where the low-power user exists is lower than the cost for purchasing power from the power grid, replenishing surplus power provided by energy storage resources of other geographic areas for the low-power user to the current high-power user, and otherwise, directly purchasing power from the power grid to satisfy the power demand of the current high-power user; jump to step 2.2).
In this embodiment, the power consumption cost between the current geographic area and the other geographic area where the low power consumption user is located refers to the current geographic area and the other geographic area where the low power consumption user is locatedThe power loss in between times the electricity price. The calculation function expression of the power loss between the current geographic area and the other geographic area where the low-power user is located is as follows: p Damage to ＝I 2 R, wherein P Decrease in the thickness of the steel The power loss between the current geographic area and other geographic areas where the low-power users are located, I is the transmission current between the current geographic area and other geographic areas where the low-power users are located, and R is the conductor resistance between the current geographic area and other geographic areas where the low-power users are located. Similarly, the low power consumption user complementary to the current high power consumption user in this embodiment refers to: the sum of the power consumption of the current high-power user and the low-power user in the same time period is not more than a specified number times (for example, twice in the embodiment) of the power consumption peak value of the historical same time.
In the embodiment, the complementation of the high-power users and the low-power users is preferentially selected in the same geographic area, when reasonable complementation cannot be formed in the same geographic area, the high-power users and the low-power users in different geographic areas are selected for complementation, and the high-power users and the low-power users in different geographic areas are selected for complementation by combining loss cost comparison on the basis, so that the utilization efficiency of distributed energy storage resources can be further improved.
In addition, the invention also provides a cloud energy storage system for applying the cloud energy storage-oriented distributed energy storage resource multi-space-time scale polymerization method, the cloud energy storage system comprises a plurality of geographical area units and a master control unit, each geographical area unit comprises a bus, and a plurality of users and energy storage resources which are respectively connected to the bus through cables, the energy storage resources comprise at least one of energy storage resources with lease right and self-established energy storage resources, each geographical area unit is provided with an intra-area power control unit for controlling power consumption of each user and power supply of the energy storage resources, the buses of each geographical area unit are connected through cables capable of bidirectionally transmitting power, the cables between the buses of each geographical area unit are connected in series with an inter-area power control unit for controlling power transmission, the intra-area power control unit and the inter-area power control unit are respectively connected with the master control unit, and the master control unit is programmed or configured to execute the steps of the cloud energy storage-oriented distributed energy storage resource multi-space-time scale polymerization method.
In addition, the embodiment also provides a cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation system, which includes a microprocessor and a memory connected to each other, where the microprocessor is programmed or configured to execute the steps of the foregoing cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation method.
In addition, the present embodiment also provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program is used for being executed by a computer device to implement the foregoing steps of the cloud energy storage oriented distributed energy storage resource multi-spatiotemporal scale aggregation method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (10)
1. A distributed energy storage resource multi-spatio-temporal scale aggregation method for cloud energy storage is characterized by comprising the following steps:
1) The method comprises the steps that users and distributed energy storage resources are spatially divided by taking a geographic area as a spatial scale, the users and the distributed energy storage resources in each geographic area are determined, and the users in the same geographic area are supplied with power through the energy storage resources; time division is carried out by taking the power utilization time periods as time scales, and high power utilization users and low power utilization users in each power utilization time period are determined based on power utilization data of users;
2) When power utilization scheduling is needed for a certain power utilization time period, surplus power provided by the energy storage resources for the low-power-utilization users is transferred and supplied to the high-power-utilization users, so that power complementation between the high-power-utilization users and the low-power-utilization users is achieved.
2. The cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal-scale aggregation method according to claim 1, wherein the step 2) of transferring and supplying surplus power provided by energy storage resources for low-power users to high-power users comprises at least one of transferring and supplying surplus power provided by energy storage resources in the same geographic area for low-power users to high-power users, and transferring and supplying surplus power provided by energy storage resources in different geographic areas for low-power users to high-power users.
3. The cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal-scale aggregation method according to claim 2, wherein the step 2) of transferring and supplying surplus power provided by energy storage resources for low-power users to high-power users means that surplus power provided by energy storage resources for low-power users in the same geographic area is preferentially transferred and supplied to high-power users, and then surplus power provided by energy storage resources for low-power users in different geographic areas is transferred and supplied to high-power users.
4. The cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal-scale aggregation method according to claim 3, wherein preferentially supplying surplus power provided by energy storage resources in the same geographic area for low-power users to high-power users and then supplying surplus power provided by energy storage resources in different geographic areas for low-power users to high-power users comprises:
2.1 Traversing a geographic area as a current geographic area, and ending and exiting if the traversing fails; otherwise, skipping to the next step;
2.2 Traversing a high power utilization user in the current geographic area as the current high power utilization user, and skipping to the step 2.1 if the traversal fails); otherwise, skipping to the step 2.3);
2.3 Searching whether a low-power user which can satisfy the complementation with the current high-power user exists in the current geographical area, if so, replenishing surplus electric power provided by the energy storage resource of the current geographical area for the low-power user to the current high-power user, and skipping to the step 2.2); otherwise, skipping to step 2.4);
2.4 Sequentially searching whether a low-power user which can satisfy the complementation with a current high-power user exists in other geographic areas except the current geographic area, and the power loss cost between the current geographic area and other geographic areas where the low-power user exists is lower than the cost for purchasing power from the power grid, if a low-power user which can satisfy the complementation with the current high-power user exists and the power loss cost between the current geographic area and other geographic areas where the low-power user exists is lower than the cost for purchasing power from the power grid, replenishing surplus power provided by energy storage resources of other geographic areas for the low-power user to the current high-power user, and otherwise, directly purchasing power from the power grid to satisfy the power demand of the current high-power user; jump to step 2.2).
5. The cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal-scale aggregation method according to claim 4, wherein the low power users complementary to the current high power users are: the sum of the electricity consumption of the current high-electricity user and the low-electricity user in the same time period does not exceed the specified number times of the electricity consumption peak value of the historical same time.
6. The cloud-energy-storage-oriented distributed energy storage resource multi-spatiotemporal-scale aggregation method according to claim 5, wherein the power loss cost between the current geographic area and the other geographic area where the low-power user is located is the power loss between the current geographic area and the other geographic area where the low-power user is located multiplied by electricity price.
7. The cloud energy storage-oriented distributed energy storage resource multi-spatiotemporal scale aggregation method according to claim 6, wherein the calculation function expression of the power loss between the current geographic area and the other geographic area where the low-power user is located is as follows: p Decrease in the thickness of the steel ＝I 2 R, wherein P Decrease in the thickness of the steel Is the power loss between the current geographical area and other geographical areas where the low-power users are located, and I isAnd R is the wire resistance between the current geographical area and the other geographical areas where the low-power users are located.
8. A cloud energy storage system for applying the cloud energy storage oriented distributed energy storage resource multi-spatio-temporal aggregation method according to any one of claims 1 to 7, wherein the cloud energy storage system comprises a plurality of geographical area units and a master control unit, each geographical area unit comprises a bus and a plurality of users and energy storage resources which are respectively connected to the bus through cables, the energy storage resources comprise at least one of energy storage resources of lease right and self-built energy storage resources, each geographical area unit is provided with an intra-area power control unit for controlling power consumption of each user and power supply of the energy storage resources, the buses of each geographical area unit are connected through cables capable of bidirectionally transmitting power, the cables between the buses of each geographical area unit are connected in series with an inter-area power control unit for controlling power transmission, the intra-area power control units and the inter-area power control units are respectively connected with the master control unit, and the master control unit is programmed or configured to execute the steps of the cloud energy storage oriented distributed energy storage resource multi-spatio-temporal aggregation method according to any one of claims 1 to 7.
9. A cloud energy storage oriented distributed energy storage resource multi-spatiotemporal scale aggregation system comprising a microprocessor and a memory connected to each other, characterized in that the microprocessor is programmed or configured to perform the steps of the cloud energy storage oriented distributed energy storage resource multi-spatiotemporal scale aggregation method according to any one of claims 1 to 7.
10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and the computer program is used for being executed by a computer device to implement the steps of the cloud energy storage oriented distributed energy storage resource multi-spatiotemporal scale aggregation method according to any one of claims 1 to 7.
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