CN119627950A - A method and system for orderly energy use of adjustable loads in a photovoltaic storage direct-flexible park - Google Patents
A method and system for orderly energy use of adjustable loads in a photovoltaic storage direct-flexible park Download PDFInfo
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Abstract
本发明公开了一种光储直柔园区可调负荷有序用能方法及系统包括：构建针对目标园区的第一电网架构；建立目标园区中各设备模型，各设备模型包括第一类模型以及第二类模型；建立基于第一电网架构以及各设备模型的第一目标函数以及第一约束条件；基于第一约束条件求解第一目标函数，得出光储直柔园区可调负荷有序用能最优方案。通过本申请的实施，能够实现对园区内可调负荷的精细调控，从而在满足用户用电需求的同时，优化园区的能源使用效率。有助于推动园区向更加绿色、高效、智能的方向发展，为实现可持续能源管理提供了新的解决方案。
The present invention discloses a method and system for orderly energy use of adjustable loads in a photovoltaic, storage, direct and flexible park, including: constructing a first power grid architecture for a target park; establishing models of each device in the target park, each device model including a first type of model and a second type of model; establishing a first objective function and a first constraint condition based on the first power grid architecture and each device model; solving the first objective function based on the first constraint condition to obtain an optimal solution for orderly energy use of adjustable loads in a photovoltaic, storage, direct and flexible park. Through the implementation of this application, it is possible to achieve fine control of adjustable loads in the park, thereby optimizing the energy efficiency of the park while meeting the electricity demand of users. It helps to promote the development of the park in a more green, efficient and intelligent direction, and provides a new solution for achieving sustainable energy management.
Description
Technical Field
The invention relates to the technical field of adjustable load orderly energy utilization of an optical Chu Zhi flexible park, in particular to an adjustable load orderly energy utilization method and system of an optical storage straight flexible park.
Background
The light storage direct-flexible technology is generated under the large background of global energy transformation, and aims to cope with the challenges of the traditional power grid such as increasing intermittent renewable energy sources, meeting the increasing power demand, guaranteeing the stability of the power grid, improving the energy utilization efficiency and the like. Advanced technologies such as photovoltaic power generation, an energy storage system, direct current power distribution and flexible power consumption are integrated by the light storage direct-flexible technology so as to adapt to the environment protection requirements, the technical development, the policy excitation and the change of user requirements, and the development of smart grids and clean energy sources is promoted. In a light Chu Zhi flexible park, main power generation equipment is roof distributed photovoltaic, photovoltaic is built in a large amount to meet the power consumption requirement of user load, redundant photovoltaic power generation can be stored through distributed energy storage, electric energy is released when the photovoltaic power generation is low or power generation is not performed, the electric energy is supplied to users, direct current generated by the photovoltaic is reduced in voltage through a direct current distribution system in the building of the park and is directly supplied to the direct current load, the loss of alternating current-direct current conversion is reduced, and the flexible power consumption is that a load user changes the power consumption condition of the load user by receiving the regulation and control of a dispatching center, so that the power consumption of the user in the power consumption peak period is reduced, the multiple power consumption in the power consumption valley period is encouraged, and peak clipping and valley filling are promoted.
According to the existing operation method of the micro-grid in the light Chu Zhi flexible park, electric energy is produced in the park through the modes of distributed photovoltaic power generation, power grid electricity purchasing and the like, and the electric energy is directly supplied to an electricity load for use. Because new energy is connected to generate electricity, surplus electric energy exists when the electric energy is generated greatly, and the surplus electric energy is stored in the park through electric storage equipment (storage batteries, large capacitors and the like). The park is usually optimized with the aim of lowest comprehensive operation cost (new energy power generation cost, equipment operation cost, electricity purchasing cost and the like), best peak clipping and valley filling effects and the like. For the light Chu Zhi flexible park, the park only usually considers the reduction of the operation cost and the improvement of the peak clipping and valley filling effects, the regulation and control means for the adjustable load are hard, the adjustable load is regulated and controlled only by means of time-sharing electricity price, price compensation and the like, and the satisfaction degree of users is often neglected.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the application and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description of the application and in the title of the application, which may not be used to limit the scope of the application.
The present invention has been made in view of the above-described problems occurring in the prior art.
Therefore, the invention provides an optical storage straight-flexible park load-adjustable orderly energy utilization method and system, which can solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
In a first aspect, the invention provides a method for orderly energy utilization of adjustable load in an optical storage straight-flexible park, which comprises the following steps:
Constructing a first power grid architecture for a target park;
establishing each equipment model in a target park, wherein each equipment model comprises a first type model and a second type model;
establishing a first objective function and a first constraint condition based on the first power grid architecture and each equipment model;
and solving the first objective function based on the first constraint condition to obtain the optimal scheme of the adjustable load orderly energy consumption of the light Chu Zhi flexible park.
As a preferred embodiment of the method for using energy in order for adjusting load in a light Chu Zhi flexible park according to the present invention, the first objective function includes:
the first objective function is any function with the objective of lowest running cost, smallest net load variance and highest satisfaction of various adjustable loads in the target park.
As a preferred embodiment of the light Chu Zhi flexible park adjustable load orderly energy utilization method, the first constraint condition includes:
the first constraint condition is to establish a target park equipment operation constraint based on the first power grid architecture and each equipment model;
The first constraint includes a number of different target campus facility operation constraints.
As a preferable scheme of the light Chu Zhi flexible park adjustable load orderly energy utilization method, the method comprises the steps of establishing each equipment model in a target park, wherein each equipment model comprises a first type model and a second type model comprises the following steps:
The first model is a device model with the load classified as an adjustable part in each device model in the target park;
The second model is a device model in which the load in each device model in the target park is classified as an unadjustable part.
As a preferable scheme of the light Chu Zhi flexible park adjustable load orderly energy utilization method, the target park operation cost comprises distributed photovoltaic power generation operation cost, energy storage equipment operation cost, electricity purchasing and selling cost of an external power grid, electric automobile charging cost and air conditioning equipment operation cost.
As a preferable scheme of the light Chu Zhi flexible park adjustable load orderly energy utilization method, the various adjustable load energy utilization satisfaction degrees comprise electric automobile charging benefit satisfaction degrees and air conditioner user thermal comfort satisfaction degrees.
As a preferred scheme of the light Chu Zhi flexible park adjustable load orderly power utilization method, the minimum net load variance is obtained through actual power utilization and total power utilization of a day-ahead scheduling plan.
In a second aspect, the present invention provides an optical storage direct-soft park adjustable load orderly energy use system, comprising:
The architecture construction module is used for constructing a first power grid architecture aiming at a target park;
the system comprises a first model building module, a second model building module and a first model building module, wherein the first model building module is used for building each equipment model in a target park, and each equipment model comprises a first type model and a second type model;
The second model building module is used for building a first objective function and a first constraint condition based on the first power grid architecture and each equipment model;
And the solving module is used for solving the first objective function based on the first constraint condition to obtain an optimal scheme of the light Chu Zhi flexible park adjustable load ordered energy.
In a third aspect, the invention provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the method as described above when the processor executes the computer program.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of the method as described above.
Compared with the prior art, the method and the system for orderly energy utilization of the adjustable load of the optical storage straight flexible park have the beneficial effects that the method and the system for orderly energy utilization of the adjustable load of the optical storage straight flexible park are provided, a first power grid framework aiming at a target park is built, each equipment model in the target park comprises a first model and a second model, a first objective function and a first constraint condition based on the first power grid framework and each equipment model are built, and an optimal scheme for orderly energy utilization of the adjustable load of the optical Chu Zhi flexible park is obtained by solving the first objective function based on the first constraint condition. By the implementation of the method, the adjustable load in the park can be finely regulated and controlled, so that the energy use efficiency of the park is optimized while the electricity demand of users is met. The application not only considers the economic cost, but also considers the user satisfaction and the stability of the power grid, effectively relieves the peak-valley load difference of the power grid by dynamically adjusting the load, and improves the utilization efficiency of energy. The implementation of the application is helpful for promoting the development of parks to a more green, efficient and intelligent direction, and provides a new solution for realizing sustainable energy management.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a flow chart of a method and system for adjusting load and orderly using energy in a light-storage straight-flexible park according to an embodiment of the invention;
fig. 2 is an internal structure diagram of a computer device of a method and a system for energy utilization with adjustable load in a light-storage direct-soft park according to an embodiment of the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
Example 1
Referring to fig. 1-2, a first embodiment of the present invention provides a method and a system for energy utilization with adjustable load in a light-storage direct-soft park, which includes:
in the prior art, there are problems such as insufficient fine load control in a park, low energy use efficiency, and difficulty in considering user satisfaction and grid stability.
The present application provides a method that can effectively solve the above-mentioned problems, and in the following, how to implement the light-storing direct-flexible park adjustable load orderly energy utilization method will be described in detail in connection with a plurality of embodiments;
fig. 1 shows a method flow chart of an optical storage direct-soft park adjustable load orderly energy utilization method and system, comprising:
S101, constructing a first power grid architecture aiming at a target park;
In an alternative embodiment, the major portions contained in the different light Chu Zhi flexible parks are different and may generally include key portions of distributed photovoltaics, energy storage and power loads, direct current distribution systems, intelligent control systems, bi-directional communication networks, etc., wherein the alternating current power grid requires an inverter to convert direct current generated by the photovoltaics into alternating current, while in the light Chu Zhi flexible parks, the power is transmitted and distributed mainly in a direct current form, reducing losses in the energy conversion process, and the intelligent control systems are used for monitoring and managing the operating states of the whole system, including power production and consumption. The intelligent control system can adjust the supply and demand balance of energy according to the real-time data, and intelligent scheduling of the devices in the park is realized. Communication networks allow data to flow between various components, supporting remote monitoring, control, and optimization operations. This is critical to achieving automated management and fault detection. However, the application aims at the treatment of the adjustable load orderly energy of the optical storage direct-flexible park, so that non-important parts such as a direct-current power distribution system, an intelligent control system, a two-way communication network and the like are not considered, and relevant technicians can add or reduce the parts to be considered according to actual demands.
In the embodiment of the application, the main components of the target park are distributed photovoltaic, energy storage and electricity load, and the distributed photovoltaic equipment in the target park is mainly used by users in the park; the energy storage is mainly used for absorbing redundant photovoltaic and generating redundant electric quantity in a park, can utilize time-sharing electricity price, purchase electricity and store the electricity at a lower price in a valley period, release electric energy for load use or sell the electric energy in a peak period, and realize energy arbitrage;
in the embodiment of the application, the electric automobile and the air conditioning equipment in the target park are used as the adjustable load for detailed analysis.
It should be noted that building a first grid architecture for a target campus can provide a flexible and efficient energy management platform for the campus. By optimizing configuration and management of renewable energy sources and energy storage resources in a park, dependence on a traditional power grid can be effectively reduced, energy waste is reduced, and energy utilization efficiency is improved. In addition, the load is dynamically adjusted through the intelligent control system, so that ordered distribution of the load can be realized, and the stability and economy of the power grid are improved while the electricity consumption requirement of a user is ensured. The orderly energy utilization method is not only helpful for improving the energy management level of the park, but also can promote the sustainable development of the park, and provides powerful support for green transformation of the park. It also provides a solid foundation for the establishment of the first objective function described below.
S102, establishing equipment models in a target park, wherein each equipment model comprises a first type model and a second type model;
In the embodiment of the application, establishing each equipment model in the target park, wherein each equipment model comprises a first type model and a second type model comprises:
the first model is a device model with the load classified into an adjustable part in each device model in the target park;
The second model is a device model in which the load in each device model in the target campus is classified as an unadjustable part.
In an alternative embodiment, the electrical loads may be divided into adjustable loads and non-adjustable loads according to their flexibility. Some electricity loads, such as electric vehicles, air-conditioning equipment and some electric equipment of home users, can be subjected to power grid dispatching, can increase or reduce electricity consumption in a short time, and assist in balancing supply and demand of a power grid, and the loads are adjustable loads.
In an alternative embodiment, the electrical loads may also be categorized into adjustable loads and non-adjustable loads according to other means, for example, according to the characteristics of the electrical loads used, such as peak to valley power rate responsiveness, user behavior patterns, and the like. For the adjustable load, the intelligent control system can monitor the load state of the power grid in real time and dynamically adjust the use of the load according to the real-time requirement of the power grid so as to achieve the purposes of optimizing the energy use and improving the stability of the power grid. For the non-adjustable load, the system ensures that the system can obtain stable power supply under any condition so as to ensure the normal operation of key facilities.
In an alternative embodiment, the electrical loads may also be categorized into adjustable loads and non-adjustable loads according to other means, for example, by the degree of urgency and importance of the electrical loads. For example, for some emergency services, such as fire protection systems, emergency lighting, etc., they should in any case be regarded as non-adjustable loads to ensure immediate use in an emergency situation. For some non-critical commercial or residential electricity, such as billboards, non-emergency lighting, etc., these can be categorized as adjustable loads to reduce the amount of electricity used when the grid load is tight. Through this kind of classification, intelligent control system can manage the electric power resource in the garden more accurately, ensures the steady operation of key facilities, improves the availability factor of whole energy simultaneously.
In the embodiment of the application, the selected electric load can be divided into an adjustable load and an non-adjustable load according to different flexibility, wherein the first model is a model established by electric vehicles, air conditioning equipment and some electric equipment related equipment of household users, and the second model is a model established by life support equipment, equipment of a data center, basic lighting equipment and the like of hospitals.
In the embodiment of the application, the distributed photovoltaic power generation power is related to the rated value of the equipment, the illumination intensity and the environmental temperature:
Wherein, P pv is the actual power of photovoltaic power generation, P pv,test is the maximum power of photovoltaic equipment under a standard test environment, I out is the outdoor actual illumination intensity, I test is the illumination intensity under the standard test environment, generally 1kW/m2 is taken, k p is the power temperature coefficient of photovoltaic power generation, generally 0.004 is taken, T out is the outdoor actual temperature, and T test is the temperature under the standard test environment, generally 25 ℃.
Furthermore, the charge and discharge power of the energy storage device is affected by the capacity and the efficiency of the device, and in actual operation, the amount of electricity stored at a certain moment is related to the previous moment:
Wherein S ES,t+1、SES,t is the electric quantity of the energy storage device at time t+1 and time t, P cha,t、Pdis,t is the charging and discharging power of the energy storage device at time t, and eta cha、ηdis is the charging and discharging efficiency of the energy storage device.
Further, the electric loads can be classified into adjustable loads and non-adjustable loads:
PLoad,t＝Pun,t+(Pev,t+Pac,t)
Wherein P Load,t、Pun,t、Pev,t、Pac,t is the total power of the electric load, the electric power for the non-adjustable load, the charging power of the electric automobile and the electric power for the air conditioner at the moment t.
Further, the electric automobile charging is mainly divided into a fast charging mode and a slow charging mode:
N is the number of electric vehicles charged in the park at time t, P ev,fast、Pev,slow is the fast charging and slow charging power of the electric vehicles, X ev,n is the fast charging identification of the nth electric vehicle, X ev,n is a fast charging mode at the current time when X ev,n is 1, and X ev,n is a slow charging mode at the current time when X ev,n is 0.
Furthermore, the air conditioning load provides cold energy through electric refrigeration, and the park can send out a scheduling instruction to regulate the air conditioning load through the paths of air conditioning load aggregators and the like, so that the power consumption of the air conditioner is increased or reduced. Generally, the outdoor temperature is higher than the indoor temperature, and the air conditioner starts to operate. The power consumption of an air conditioner is mainly related to the outdoor and indoor temperatures:
Wherein T out,t、Tset,t is the outdoor temperature at time T and the indoor temperature, lambda is the air conditioner energy efficiency ratio coefficient, and R is the building equivalent thermal resistance.
It should be noted that, each equipment model in the target park is built, and each equipment model comprises a first model and a second model, so that accurate load information can be provided for the intelligent control system, and therefore real-time dispatching of adjustable loads and stable power supply of non-adjustable loads are achieved. By establishing the model, the system can dynamically adjust the use of the adjustable load according to the real-time requirement and the load state of the power grid so as to optimize the energy use and improve the stability of the power grid. Meanwhile, for the non-adjustable load, the system ensures that the system can obtain stable power supply under any condition so as to ensure the normal operation of key facilities. In addition, through the establishment of the model, the system can also predict and evaluate the influence of different loads on the power grid, provide data support for energy management and planning of the park, and further improve the energy use efficiency and economy of the park.
S103, establishing a first objective function and a first constraint condition based on a first power grid architecture and each equipment model;
In an embodiment of the present application, the first objective function includes:
The first objective function is any function that targets the lowest cost of operation for the target campus, the lowest variance of the net load, and the highest satisfaction of various adjustable loads.
In an alternative embodiment, the first objective function may be established in a number of ways, for example, linear programming, nonlinear programming, integer programming, or mixed integer linear programming. The objective function needs to be constructed by comprehensively considering various factors such as economy, energy efficiency, user satisfaction and the like of the park. For example, the lowest running cost can be considered to comprise the running cost, the energy purchasing cost, the possible penalty cost and the like of equipment, the smallest net load variance focuses on reducing the load fluctuation of the power grid so as to reduce the impact on the power grid and improve the stability of the power grid, and the largest satisfaction degree of the adjustable load can be considered to ensure that the reasonable dispatching of the load is realized while the requirement of the user is met.
In an alternative embodiment, the first objective function may also be established by other algorithms, such as genetic algorithms, simulated annealing algorithms, etc., to suit the specific needs and conditions of different campuses. Through the algorithms, an optimal solution or an approximately optimal solution meeting the requirements of the objective function can be found, so that accurate control over energy management of the park is realized. In addition, the first objective function needs to be established by considering the long-term development planning of the park, so as to ensure the sustainability and adaptability of the energy management strategy. In practical application, the parameters of the first objective function can be dynamically adjusted according to real-time data and historical data of the park so as to cope with the change of the energy market and the practical situation of park operation. In this way, the campus can flexibly cope with various energy challenges, and the optimization of energy management is realized.
In the embodiment of the application, a linear programming mode is adopted to establish a multi-objective function mode for carrying out first objective function design.
In the embodiment of the application, the target park operation cost comprises distributed photovoltaic power generation operation cost, energy storage equipment operation cost, electricity purchasing and selling cost of an external power grid, electric vehicle charging cost and air conditioning equipment operation cost. Various kinds of adjustable load energy satisfaction include electric automobile charging benefit satisfaction and air conditioner user thermal comfort satisfaction. The minimum net load variance is obtained from the actual power usage load power and the total power usage load power of the day-ahead schedule.
In an embodiment of the present application, the first constraint includes:
the first constraint condition is to establish a target park equipment operation constraint based on a first power grid architecture and equipment models;
the first constraint includes a number of different target campus facility operation constraints.
In an alternative embodiment, the constraint condition of the design or the constraint condition for the park operation to be considered is different according to the first power grid architecture and the different equipment models, which is not limited herein, and the related technicians can set different constraint conditions according to actual situations.
In the embodiment of the application, the multi-objective function of the adjustable load orderly energy of the light Chu Zhi flexible park is constructed according to the minimum running cost of the target park, the minimum net load variance and the maximum satisfaction degree of various adjustable loads. The park operation cost f 1 comprises distributed photovoltaic power generation operation cost, energy storage equipment operation cost, electricity purchasing and selling cost of an external power grid, electric vehicle charging cost and air conditioning equipment operation cost:
R pv、rES、re,t、rev、rac is a distributed photovoltaic operation unit price, an energy storage device charging and discharging unit price, a time-sharing electricity price at time t, an electric vehicle charging unit price and an air conditioner operation unit price, and P buy,t、Psell,t is electricity purchasing and electricity selling power of an external power grid at time t.
Furthermore, the net load variance f 2 describes the fluctuation degree of the optimization operation of the park, and is also the index expression of the adjustable load participation adjustment. The smaller the payload variance, the more stable the campus operation.
Wherein, P Load,t is the actual power of the electric load at time t, which is the total load of the adjustable load after the adjustment, and P Load,plan,t is the total power of the electric load scheduled before time t and is predicted by the historical data.
Further, the adjustable load energy satisfaction f 3 includes the electric vehicle charging benefit satisfaction f ev and the air conditioner user thermal comfort satisfaction f ac, and the higher the satisfaction, the more the user benefit is met.
f3＝fev+fac
Lt＝(M-W)-3.05[5.733-0.007(M-W)-Pa]-
0.42(M-W-58.15)-1.73×10-2M(5.867-Pa)-
1.4×10-3M(34-Tin,t)-3.96×10-8fcl[(tcl+273)4-
(tr+273)4]-fclhc(tcl-Tin,t)
Wherein a and b are charging preference coefficients of the electric automobile, M is a human body energy metabolism rate, L t is a human body heat load of a user at a moment T, W is mechanical work done by a human body, P a is a partial pressure of water vapor around the human body, T in,t is an indoor temperature at the moment T, f cl is a clothing area coefficient, T cl is an average temperature of an outer surface of the clothing, T r is an average environmental radiation temperature, and h c is a convection heat transfer coefficient.
In an alternative embodiment, the normalization process may be performed on each objective function.
F=c1F1+c2F2+c3F3
c1+c2+c3=1
Wherein F n is the normalized value of the nth objective function, F n,min、fn,max is the minimum and maximum values of the nth objective function, F is the normalized total objective function value, and c 1、c2、c3 is the weight coefficient set by each objective function.
In the embodiment of the application, a first constraint condition of park equipment operation is established, and the first constraint condition in the application is specifically as follows:
the distributed photovoltaic power generation power is not greater than the maximum power:
0≤Ppv,t≤Ppv,max
Wherein P pv,max is the maximum value of photovoltaic power generation.
Further, the energy storage device is limited by its capacity, and the charge and discharge power is related to the previous period of electricity:
0≤SES,t≤SES,max
0≤Pdis,t+1≤SES,t
0≤Pcha,t+1≤SES,max-SES,t
Wherein S ES,max is the maximum storage capacity of the energy storage device, and P dis,t+1、Pcha,t+1 is the discharge power and the charging power at time t+1.
Still further, electric vehicle charging constraints:
0≤Pev,t≤H×Pev,fast
wherein, H is the in-park electric pile quantity.
Further, the air conditioner operation is constrained by the indoor set temperature range and the installed capacity of the air conditioner:
Tin,min≤Tin,t≤Tin,max
0≤Pac,t≤Pac,max
Wherein T in,min、Tin,max is the minimum value and the maximum value of indoor temperature, and P ac,max is the maximum value of air conditioner installed capacity.
Further, the power supply in the park should be greater than the power demand, and the balance constraints are as follows:
Ppv,t+Pdis,t+Pbuy,t≥Pev,t+Pac,t+Pun,t+Pcha,t+Psell,t
wherein, P pv,t represents the photovoltaic power generation power at time t, P dis,t represents the discharge power of the energy storage device at time t, and P buy,t represents the power purchased from the external grid at time t. P ev,t represents the charging power of the electric vehicle at time t. P ac,t represents the charging power of the air conditioner at time t. P un,t represents other power requirements not explicitly specified. P cha,t represents the charging power of the energy storage device at time t. P sell,t represents the power sold to the external grid at time t.
It should be noted that establishing the first objective function and the first constraint condition based on the first power grid architecture and the respective device models enables efficient utilization of energy in the campus and dynamic optimization of the load. Through the optimization algorithm, the running state of each device can be adjusted in real time so as to meet the electricity consumption requirement of a park, and meanwhile, the dependence on an external power grid is reduced. In addition, through setting for reasonable weight coefficient, can balance the operation priority of different equipment, ensure the steady power supply of key load, improve energy efficiency and economic benefits in whole garden. In practical application, the method can effectively cope with the fluctuation of renewable energy sources, and improves the flexibility and reliability of the energy system of the park.
And S104, solving a first objective function based on the first constraint condition to obtain the optimal scheme of the adjustable load ordered energy of the light Chu Zhi flexible park.
In an alternative embodiment, the manner and result of solving the first objective function may be different according to the first constraint, and the present application is not limited thereto, since the first constraint is necessarily used to solve the first objective function after the first constraint and the first objective model are obtained, and the first constraint is required to be performed under the first constraint no matter what the way of solving is used or what the solver is used.
In an alternative embodiment, the solution or solver may include using Gurobi solver, using CPLEX solver, using a linear programming method, using a nonlinear programming method, using a heuristic algorithm, and the like.
In the method, in order to solve the nonlinear term contained in the first objective function, a Gurobi solver is selected to solve, and the specific steps can be as follows:
the method comprises the steps of firstly, inputting predicted electric load data of a sunlight storage straight-flexible park for 24 hours, wherein the predicted electric load data comprises adjustable load and non-adjustable load;
Secondly, determining the boundary range of the output of each device according to a first constraint condition by taking the output of each device and the adjustable load power as variables to be optimized;
And thirdly, inputting the normalized first objective function, and solving an optimal equipment output scheme by using a Gurobi solver.
In summary, the application provides an optical storage direct flexible park adjustable load orderly energy utilization method, which comprises the steps of constructing a first power grid framework aiming at a target park, constructing equipment models in the target park, wherein each equipment model comprises a first type model and a second type model, constructing a first objective function and a first constraint condition based on the first power grid framework and the equipment models, solving the first objective function based on the first constraint condition, and obtaining an optical Chu Zhi flexible park adjustable load orderly energy utilization optimal scheme. By the implementation of the method, the adjustable load in the park can be finely regulated and controlled, so that the energy use efficiency of the park is optimized while the electricity demand of users is met. The application not only considers the economic cost, but also considers the user satisfaction and the stability of the power grid, effectively relieves the peak-valley load difference of the power grid by dynamically adjusting the load, and improves the utilization efficiency of energy. The implementation of the application is helpful for promoting the development of parks to a more green, efficient and intelligent direction, and provides a new solution for realizing sustainable energy management.
The embodiment also provides an optical storage direct-flexible park adjustable load ordered energy utilization system, which comprises:
The architecture construction module is used for constructing a first power grid architecture aiming at a target park;
the first model building module is used for building each equipment model in the target park, and each equipment model comprises a first type model and a second type model;
The second model building module is used for building a first objective function and a first constraint condition based on the first power grid architecture and each equipment model;
And the solving module is used for solving the first objective function based on the first constraint condition to obtain the light Chu Zhi flexible park adjustable load ordered energy utilization optimal scheme.
The above unit modules may be embedded in hardware or independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above units.
The embodiment also provides a computer device, which may be a terminal, and an internal structure diagram thereof may be as shown in fig. 2. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program when executed by the processor is used for realizing the method for orderly energy utilization of the adjustable load of the optical storage straight-flexible park. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
The present embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
Constructing a first power grid architecture for a target park;
establishing equipment models in a target park, wherein each equipment model comprises a first type model and a second type model;
Establishing a first objective function and a first constraint condition based on a first power grid architecture and each equipment model;
and solving a first objective function based on the first constraint condition to obtain the light Chu Zhi flexible park adjustable load ordered energy utilization optimal scheme.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
It will be appreciated by those skilled in the art that 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-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be realized by adopting various computer languages, such as object-oriented programming language Java, an transliteration script language JavaScript and the like.
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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
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| CN202411544481.2A CN119627950A (en) | 2024-10-31 | 2024-10-31 | A method and system for orderly energy use of adjustable loads in a photovoltaic storage direct-flexible park |
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