CN112815473A - Optimal control device and control method for cold accumulation air conditioning system - Google Patents
Optimal control device and control method for cold accumulation air conditioning system Download PDFInfo
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- 238000009825 accumulation Methods 0.000 title claims abstract description 89
- 238000004378 air conditioning Methods 0.000 title claims abstract description 42
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- 238000005057 refrigeration Methods 0.000 claims abstract description 66
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 35
- 238000002844 melting Methods 0.000 claims description 17
- 230000008018 melting Effects 0.000 claims description 17
- 238000013178 mathematical model Methods 0.000 claims description 8
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- 230000008901 benefit Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 239000000498 cooling water Substances 0.000 description 2
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- 229910052799 carbon Inorganic materials 0.000 description 1
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- 230000008878 coupling Effects 0.000 description 1
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- 230000003247 decreasing effect Effects 0.000 description 1
- 239000005457 ice water Substances 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
- F24F5/0007—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning
- F24F5/0017—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning using cold storage bodies, e.g. ice
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
- F24F5/0007—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning
- F24F5/0017—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning using cold storage bodies, e.g. ice
- F24F2005/0032—Systems storing energy during the night
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2140/00—Control inputs relating to system states
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Abstract
The invention belongs to the technical field of renewable energy consumption and energy storage, and particularly relates to an optimal control device and a control method for a cold accumulation air-conditioning system, wherein the device comprises: the acquisition module is used for acquiring the time-by-time cooling load of the power utilization side, all-weather peak-valley electricity price information, the cold release efficiency of the cold storage and refrigeration system, and the cold storage efficiency and the refrigeration efficiency of the double-working-condition unit; the calculation module is used for substituting the time-by-time cooling load of the power utilization side, the all-weather peak-valley electricity price information, the refrigerating efficiency of the cold accumulation refrigerating system and the cold accumulation efficiency and the cold release efficiency of the double-working-condition unit into a cold release optimization model for calculation to obtain a cold release optimization plan; and the execution module is used for sending instructions to the double-working-condition unit and the cold accumulation refrigeration system so as to execute the cold release optimization plan. By formulating an optimized operation strategy and combining peak-valley electricity prices, the cold release proportion of the refrigeration, cold accumulation and cold accumulation refrigeration system of the double-working-condition unit is automatically distributed, and the cold accumulation operation cost of the double-working-condition unit is reduced.
Description
Technical Field
The invention belongs to the technical field of renewable energy consumption and energy storage, and particularly relates to an optimal control device and a control method for a cold accumulation air-conditioning system.
Background
The cold accumulation technology is mainly applied to the technical field of air conditioners at present, is a user side management technology which has a remarkable effect on load peak load shifting and valley filling of a power grid, and utilizes surplus electric power to start a refrigerating unit to make ice, the cold is stored in an ice form, and the cold is released in an ice melting mode in a power consumption peak power period to be required by an air conditioner user, so that the electric power in the power consumption peak power period is avoided or reduced.
The cold accumulation system stores ice at the off-peak electricity period at night, melts and releases the ice at the off-peak electricity period in the daytime, namely, the cold load at the peak electricity period in summer is transferred to the off-peak electricity period, the energy load at the off-peak electricity period of the power grid is guided to be changed into an adjustable off-peak electricity load, and the peak clipping and off-peak electricity filling effects are achieved. The ice storage technology is adopted, so that the low-ebb water and electricity are increased, the electric quantity is reduced in the off-ebb electricity period, the stable operation of a power plant and a power grid is influenced by operating a large-scale cold storage device, the high-capacity ice storage can improve the consumption of renewable energy in the off-ebb electricity period at night, and meanwhile, the coal consumption value, the carbon emission amount and the like caused by the combustion of fossil energy are reduced, the peak load shifting and valley filling of the power grid load are realized, the peak-valley difference contradiction of the power grid load is reduced, the operation efficiency of the power plant is improved, the overall energy saving and emission reduction benefits.
However, the operation cost of the cold accumulation system is influenced by coupling factors such as price policy, power peak regulation requirement, unit energy efficiency and the like, the ice accumulation and melting control strategy is difficult, the operation is not economical, and the system energy efficiency is low; at present, the following schemes are controlled: 1. intelligently controlling according to peak-valley electricity price, operating a power flat section cold machine, operating power peak section ice melting, and operating a load peak section cold machine and ice melting jointly; in the electric power leveling section of the scheme, the load adjustable range of the cold machine is smaller, and the cold machine cannot be ensured to run in a high-efficiency area; when the power peak is passed, if the ice melting amount is excessive, the risk that the ice melting amount cannot be melted on the day exists, and the operation is not economical. 2. Selecting and controlling according to seasons, and supplying cold in combination with ice melting in summer; cold supplying or ice melting and cold supplying are carried out by a cold machine in transition seasons and winter; and in summer, the cold machine and the ice melting are combined for cold supply, and when the load or the electric power peak section is not reached, the ice melting is excessive, so that the risk of insufficient ice melting quantity at the electricity price peak end or the load peak section exists.
Chinese patent CN110657512A discloses an ice storage air conditioner economic analysis method and device based on hot spot joint scheduling. However, the solution is mainly used for prophase planning and not for economic control according to known devices.
Therefore, in view of the above disadvantages, the present invention is urgently needed to provide an optimal control device and a control method for a cold storage air conditioning system.
Disclosure of Invention
The invention aims to provide an optimal control device and a control method for a cold accumulation air-conditioning system, which aim to solve the problems that the control operation of the existing ice cold accumulation system in the prior art is not economical and unreasonable, the energy efficiency of the system is low and the like.
In one aspect, the present invention provides an optimization control device for a cold storage air conditioning system, comprising: the acquisition module is used for acquiring the time-by-time cooling load of the power utilization side, all-weather peak-valley electricity price information, the cold release efficiency of the cold storage and refrigeration system, and the cold storage efficiency and the refrigeration efficiency of the double-working-condition unit; the calculation module is used for substituting the time-by-time cooling load of the power utilization side, the all-weather peak-valley electricity price information, the refrigerating efficiency of the cold accumulation refrigerating system and the cold accumulation efficiency and the cold release efficiency of the double-working-condition unit into a cold release optimization model for calculation to obtain a cold release optimization plan; and the execution module is used for sending instructions to the double-working-condition unit and the cold accumulation refrigeration system so as to execute the cold release optimization plan.
The optimal control device for the cold accumulation air conditioning system is further preferably configured to set the cold release optimization plan to include the hourly cooling capacity of the cold accumulation refrigeration system, the hourly cooling capacity of the dual-operating-condition unit, and the cold accumulation time of the dual-operating-condition unit.
The optimization control device for a cold storage air conditioning system as described above further preferably further includes: the storage module is used for storing a cold release optimization plan and equipment information, wherein the equipment information comprises water chilling unit information and energy efficiency curve information corresponding to each water chilling unit; and the judging module is used for comparing the system load rate of the cold release optimization plan with the system load rate with the highest energy efficiency and adjusting the cold release optimization plan to enable the system load rate to be the same as the system load rate with the highest energy efficiency.
The optimal control device for the cold accumulation air conditioning system as described above is further preferred that the cold release optimization model includes a cold release optimization mathematical model, a cold release economic model and a cold accumulation model, and the model formula of the cold release optimization mathematical model is as follows:
wherein E is the daily maximum accumulated cold release amount of the cold accumulation refrigeration system, B is the maximum cold release amount of the hourly cold accumulation refrigeration system, D is the hourly maximum double-working-condition unit refrigeration amount, ai is the cold load at the ith hour, B is the hourly cold release amount of the cold accumulation refrigeration system, and D is the hourly refrigeration amount of the double-working-condition unit; i is time, i is 0,2,3, … 23;
the model formula of the cooling release economic model is as follows:
A＝max(∑(β×bj)+∑(γ×bk))，
wherein, a is the daily cost of cold release capacity, β is the daytime average price, γ is the daytime peak price, b is the hourly cold release capacity of the cold storage refrigeration system, j is the average time, k is the peak price time, j is 0,2,3, … 23, k is 0,2,3, … 23, and j and k are not equal;
the model formula of the cold accumulation model is as follows:
wherein, G is cold accumulation time, C is the maximum cold accumulation amount of the double-working-condition unit in hour, b is the cold releasing amount of the cold accumulation refrigerating system in hour, and i is 0,2,3 and … 23.
The optimal control device for a cold storage air conditioning system as described above is further preferably configured such that the acquisition module includes: the input module is used for acquiring all-weather peak-valley electricity price information, cold releasing efficiency of the cold storage and refrigeration system and cold storage efficiency and refrigeration efficiency of the double-working-condition unit through input; and the load module is used for acquiring the time-by-time cooling load of the power utilization side.
The optimal control device for a cold storage air conditioning system as described above is further preferably configured such that the load module includes: the terminal load setting submodule is used for setting the on-off of the terminal load and acquiring the hourly cooling load of the power utilization side according to the starting of the terminal load; and the tail end load prediction submodule is used for predicting the opening and closing of the tail end composition and predicting and acquiring the time-by-time cooling load of the power utilization side according to the starting of the tail end composition.
The optimal control device for the cold storage air conditioning system further preferably comprises a display module, and the display module displays the all-weather peak-valley electricity price information and the cold release optimization plan which are input.
The invention also discloses an optimization control method for the cold accumulation air conditioning system, which is used for the optimization control device of any cold accumulation air conditioning system and comprises the following steps: s1: the input module acquires all-weather peak-valley electricity price information, cold releasing efficiency of a cold accumulation and refrigeration system, and cold accumulation efficiency and refrigeration efficiency of a double-working-condition unit; the load module acquires the time-by-time cooling load of the electricity utilization side; s2: the calculation module brings the time-by-time cooling load of the power utilization side and the all-weather peak-valley electricity price information cold release efficiency of the cold storage refrigeration system and the refrigeration efficiency and the cold storage efficiency of the double-working-condition unit into a cold release optimization model for calculation to obtain a cold release optimization plan; s3: the method comprises the steps that a storage module obtains a stored cold release optimization plan and equipment information, wherein the equipment information comprises water chilling unit information and energy efficiency curve information corresponding to each water chilling unit; s4: the judging module compares the system load rate of the cold release optimization plan with the system load rate with the highest energy efficiency and adjusts the cold release optimization plan to enable the system load rate to be the same as the system load rate with the highest energy efficiency; s5: the execution module sends instructions to execute the adjusted cooling optimization plan in S4.
In the above optimized control method for a cold storage air conditioning system, it is further preferable that in S2, the calculation module is further configured to obtain multiple sets of cold release optimization initial plans according to the cold release optimization model, and sequentially check the electricity cost of the multiple sets of cold release optimization initial plans, where the cold release optimization initial plan with the minimum electricity cost is the calculated cold release optimization plan.
In the above optimized control method for a cold storage air conditioning system, it is further preferable that in S4, the adjusting module, according to the highest energy consumption information of the device information, adjusts the dual-mode unit, and includes: when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is less than the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the refrigerating capacity of the double-working-condition unit is increased, and the refrigerating capacity of the cold storage refrigerating system is reduced; when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is equal to the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the system load rate is not adjusted; when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is larger than the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the refrigerating capacity of the double-working-condition unit is reduced, and the cold energy released by the cold storage refrigerating system is stored; before and after adjustment, the sum of the refrigerating capacity of the double-working-condition unit and the refrigerating capacity of the cold accumulation refrigerating system is the same as the refrigerating load.
Compared with the prior art, the invention has the following advantages:
the invention discloses an optimization control device for a cold accumulation air conditioning system, which comprises an acquisition module, a calculation module and an execution module, wherein the calculation module is used for calculating to obtain a cold release optimization plan according to the time-by-time cold load of a power utilization side, all-weather peak-valley electricity price information, cold release efficiency of a cold accumulation refrigeration system, and refrigeration efficiency and cold accumulation efficiency of a dual-working-condition unit, which are obtained by the acquisition module, and executing the cold release optimization plan through the execution module. By means of the device, the optimized operation strategy is formulated, peak-valley electricity price is combined, the refrigeration proportion of the double-working-condition unit refrigeration system, the cold accumulation proportion of the cold accumulation refrigeration system and the cold release proportion of the cold accumulation refrigeration system are automatically distributed, and the cold accumulation operation cost of the double-working-condition unit is reduced. Meanwhile, through energy efficiency comparison, the water chilling unit is operated in a high-efficiency interval by adjusting the refrigeration efficiency of the double-working-condition unit and the cold release proportion of the cold storage refrigeration system, so that the overall energy efficiency level of the ice cold storage system is improved;
the optimization control device for the cold accumulation air-conditioning system makes a system optimization operation strategy by analyzing the energy efficiency of an operation area and the economic operation of the system and combining peak-valley electricity prices, so that the optimization control device can automatically distribute the proportion of a cold machine to ice melting load to achieve economic operation; meanwhile, the whole refrigerating capacity and the running number of the frequency conversion centrifugal machines can be optimized, so that the frequency conversion centrifugal machines run in a high-efficiency interval, and the whole energy efficiency level of the ice cold storage system is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of the module connection of an optimized control device for a cold storage air conditioning system according to the present invention;
FIG. 2 is a schematic flow chart of an optimal control method for a cold storage air conditioning system according to the present invention;
FIG. 3 is a schematic workflow diagram of the computing module of FIG. 1;
fig. 4 is a display diagram of a display module in the optimization control device for the cold storage air conditioning system.
Detailed Description
Example 1:
fig. 1 discloses an optimization control device for a cold storage air conditioning system. As shown in fig. 1, the present embodiment discloses an optimization control device for a cold storage air conditioning system, including:
the acquisition module is used for acquiring the time-by-time cooling load of the power utilization side, all-weather peak-valley electricity price information, the cold release efficiency of the cold storage and refrigeration system, and the cold storage efficiency and the refrigeration efficiency of the double-working-condition unit;
the calculation module is used for substituting the time-by-time cooling load of the power utilization side, the all-weather peak-valley electricity price information, the refrigerating efficiency of the cold accumulation refrigerating system and the cold accumulation efficiency and the cold release efficiency of the double-working-condition unit into a cold release optimization model for calculation to obtain a cold release optimization plan;
and the execution module is used for sending instructions to the double-working-condition unit and the cold accumulation refrigeration system so as to execute the cold release optimization plan.
Further, in the optimal control device of the cold storage air conditioning system of the present embodiment, the obtaining module includes:
the input module is used for acquiring all-weather peak-valley electricity price information, cold release efficiency of the cold storage refrigeration system and refrigeration efficiency and cold storage efficiency of the double-working-condition unit through input;
and the load module is used for acquiring the time-by-time cooling load of the power utilization side.
Further, the load module includes:
the terminal load setting submodule is used for setting the on-off of the terminal load and acquiring the hourly cooling load of the power utilization side according to the starting of the terminal load;
and the tail end load prediction submodule is used for predicting the opening and closing of the tail end composition and predicting and acquiring the time-by-time cooling load of the power utilization side according to the starting of the tail end composition.
In this embodiment, the input module includes three content settings: the method comprises the steps of control period setting, control parameter design and peak-valley electricity price setting, wherein the control period setting refers to setting the estimated running time of the ice cold storage system, the time setting is in units of one day, and the maximum running time can be set to be 1 year. The control parameters are mainly set for setting the all-weather peak-valley electricity price, the cold release efficiency of the cold accumulation refrigerating system, the refrigerating efficiency of the double-working-condition unit and the cold accumulation efficiency. The all-weather peak-valley electricity price information comprises an electricity price valley price and a time period, an electricity price average price and a time period, and an electricity price peak price and a time period. The cold release efficiency of the cold accumulation refrigeration system comprises the maximum hourly cold release capacity and the maximum daily accumulated cold release capacity; the refrigerating efficiency and the cold accumulation efficiency of the double-working-condition unit comprise the maximum refrigerating capacity per hour, the maximum accumulated refrigerating capacity per day and the maximum accumulated cold accumulation per day of the double-working-condition unit.
The terminal load setting submodule is mainly used for manually setting the terminal load of the air conditioner in the control period and acquiring the starting control information, and the terminal load forecasting submodule is used for acquiring the terminal load of the air conditioner in the control period by an intelligent load forecasting means.
Further, the optimal control device of the cold storage air conditioning system in the embodiment further includes:
the storage module is used for storing a cold release optimization plan and equipment information, wherein the equipment information comprises water chilling unit information and energy efficiency curve information corresponding to each water chilling unit;
and the judging module is used for comparing the system load rate of the cold release optimization plan with the system load rate with the highest energy efficiency and adjusting the cold release optimization plan to enable the system load rate to be the same as the system load rate with the highest energy efficiency.
Further, in the optimal control device of the cold storage air conditioning system in this embodiment, the cold release optimization plan includes the hourly cooling capacity of the cold storage refrigeration system, the hourly cooling capacity of the dual-operating-condition unit, and the cold storage time of the dual-operating-condition unit.
The calculation module only refers to an automatic optimization control algorithm of a cold release strategy of the cold storage system, and for a set of cold storage system for determining the type selection of the air conditioning equipment, the total day refrigerating capacity of the cold storage refrigerating system has an upper limit, the refrigerating capacity of the cold storage refrigerating system per hour also has an upper limit, and the refrigerating capacity of the double-working-condition unit per hour also has an upper limit. In order to enable the refrigerating capacity prepared by the cold station system to meet the tail end refrigerating load, the refrigerating capacity prepared by the cold station system is mainly born by the cold accumulation refrigerating system and the double-working-condition unit, so that the refrigerating capacity of the cold accumulation refrigerating system per hour and the refrigerating capacity of the double-working-condition unit per hour are adjusted, so that the refrigerating load is the refrigerating capacity of the cold accumulation refrigerating system per hour plus the refrigerating capacity of the double-working-condition unit per hour, and the refrigerating capacity of the cold station is distributed.
The cold accumulation optimization model comprises a cold release optimization mathematical model, a cold release economic model and a cold accumulation model, wherein the model formula of the cold release optimization mathematical model is as follows:
wherein E is the daily maximum accumulated cold release amount of the cold accumulation refrigeration system, B is the hourly maximum cold release amount of the cold accumulation refrigeration system, D is the hourly maximum double-working-condition unit refrigerating capacity, ai is the cold load at the ith hour, B is the hourly cold release amount of the cold accumulation refrigeration system, and D is the hourly refrigerating capacity of the double-working-condition unit; i is time, i is 0,2,3, … 23;
the model formula of the cooling release economic model is as follows:
A＝max(∑(β×bj)+∑(γ×bk))，
wherein, a is the daily cost of cold release capacity, β is the daytime average price, γ is the daytime peak price, b is the hourly cold release capacity of the cold storage refrigeration system, j is the average time, k is the peak price time, j is 0,2,3, … 23, k is 0,2,3, … 23, and j and k are not equal;
the model formula of the cold accumulation model is as follows:
wherein, G is cold accumulation time, C is the maximum cold accumulation amount of the double-working-condition unit in hour, b is the cold releasing amount of the cold accumulation refrigerating system in hour, and i is 0,2,3 and … 23.
The cold releasing capacity of the cold storage refrigeration system is adjusted according to a model formula of a cold releasing optimization mathematical model, namely, a cold releasing economic model is solved by adjusting the cold releasing proportion, and when the maximum value A is iterated by planning, solving and calculating, the hour cold releasing capacity of the cold storage refrigeration system and the hour refrigerating capacity of the double-working-condition unit are obtained simultaneously. And then obtaining the cold accumulation amount per hour according to a model formula of the cold release optimization mathematical model and a model formula of the cold accumulation model. Specifically, the calculation process is shown in fig. 3.
Further, in the optimization control device of this embodiment, the adjusting the dual-condition unit by the determining module according to the highest energy consumption information of the device information includes: when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is less than the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the refrigerating capacity of the double-working-condition unit is increased, and the refrigerating capacity of the cold storage refrigerating system is reduced; when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is equal to the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the system load rate is not adjusted; when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is larger than the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the refrigerating capacity of the double-working-condition unit is reduced, and the cold energy released by the cold storage refrigerating system is stored; before and after adjustment, the sum of the refrigerating capacity of the double-working-condition unit and the refrigerating capacity of the cold accumulation refrigerating system is the same as the refrigerating load.
In this embodiment, the energy efficiency COP of the water chilling unit is closely related to the cooling water return temperature and the load factor of the water chilling unit, and for a certain water chilling unit device, the determined cooling water return temperature is given, and along with the increase of the load factor, the energy efficiency COP of the water chilling unit shows a trend of increasing and then decreasing, that is, under a partial load, the water chilling unit always has the highest unit energy efficiency COP corresponding to the load factor, that is, the vertex of an energy efficiency COP curve of the whole unit. And the judging module adjusts the dual-working-condition unit according to the highest energy consumption information of the equipment information so as to enable the dual-working-condition unit to be in the highest energy efficiency state.
Further, the control device of the cold storage air conditioning system optimizing system of the embodiment further comprises a display module, and the display module is used for displaying the input all-weather peak-valley electricity price information and the cooling optimization plan. The display panel of the display module is shown in fig. 4.
In this embodiment, the dual-operating-condition unit refers to an air conditioning unit capable of operating in two different operating states. Generally, the two working states with larger difference are a refrigeration working condition and a cold accumulation working condition, wherein the water outlet temperature of the refrigeration working condition is above 0 ℃, the water outlet temperature of the cold accumulation working condition is below 0 ℃, and the cold accumulation working condition is used for providing cold energy for the cold accumulation refrigeration system to enable the cold accumulation refrigeration system to accumulate ice or ice water. The cold accumulation refrigeration system is used for releasing cold through melting ice and cold water or used by combining the melting ice and the cold water.
Example 2:
as shown in fig. 2, the present embodiment discloses an optimization control method for a cold storage air conditioning system, which is mainly used for the optimization control device disclosed in embodiment 1, and comprises:
s1: the input module acquires all-weather peak-valley electricity price information, cold releasing efficiency of a cold accumulation and refrigeration system, and cold accumulation efficiency and refrigeration efficiency of a double-working-condition unit; the load module acquires the time-by-time cooling load of the electricity utilization side;
s2: the calculation module brings the time-by-time cooling load of the power utilization side and the all-weather peak-valley electricity price information cold release efficiency of the cold storage refrigeration system and the refrigeration efficiency and the cold storage efficiency of the double-working-condition unit into a cold release optimization model for calculation to obtain a cold release optimization plan;
s3: the method comprises the steps that a storage module obtains a stored cold release optimization plan and equipment information, wherein the equipment information comprises water chilling unit information and energy efficiency curve information corresponding to each water chilling unit;
s4: the judging module compares the system load rate of the cold release optimization plan with the system load rate with the highest energy efficiency and adjusts the cold release optimization plan to enable the system load rate to be the same as the system load rate with the highest energy efficiency;
s5: the execution module sends instructions to execute the adjusted cooling optimization plan in S4.
Further, in step S2 of this embodiment, the calculating module is further configured to obtain multiple sets of initial cooling release optimization plans according to the cooling release optimization model, and sequentially check and calculate the electricity cost of the multiple sets of initial cooling release optimization plans, where the initial cooling release optimization plan with the minimum electricity cost is the calculated cooling release optimization plan.
Further, in this embodiment S4, the adjusting, by the determining module, the dual-condition unit according to the highest energy consumption information of the device information includes:
when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is less than the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the refrigerating capacity of the double-working-condition unit is increased, and the refrigerating capacity of the cold storage refrigerating system is reduced;
when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is equal to the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the system load rate is not adjusted;
when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is larger than the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the refrigerating capacity of the double-working-condition unit is reduced, and the cold energy released by the cold storage refrigerating system is stored;
before and after adjustment, the sum of the refrigerating capacity of the double-working-condition unit and the refrigerating capacity of the cold accumulation refrigerating system is the same as the refrigerating load.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An optimal control device for a cold storage air conditioning system, comprising:
the acquisition module is used for acquiring the time-by-time cooling load of the power utilization side, all-weather peak-valley electricity price information, the cold release efficiency of the cold storage and refrigeration system, and the cold storage efficiency and the refrigeration efficiency of the double-working-condition unit;
the calculation module is used for substituting the time-by-time cooling load of the power utilization side, the all-weather peak-valley electricity price information, the refrigerating efficiency of the cold accumulation refrigerating system and the cold accumulation efficiency and the cold release efficiency of the double-working-condition unit into a cold release optimization model for calculation to obtain a cold release optimization plan;
and the execution module is used for sending instructions to the double-working-condition unit and the cold accumulation refrigeration system so as to execute the cold release optimization plan.
2. The optimal control device for a cold-storage air conditioning system according to claim 1,
the cold release optimization plan comprises the hourly cold release amount of the cold storage refrigeration system, the hourly refrigeration amount of the double-working-condition unit and the cold storage time of the double-working-condition unit.
3. The optimal control device for a cold-storage air conditioning system according to claim 2, characterized by further comprising:
the storage module is used for storing ice melting and storage plans and equipment information, wherein the equipment information comprises water chilling unit information and energy efficiency curve information corresponding to each water chilling unit;
and the judging module is used for comparing the system load rate of the ice melting and storage plan with the system load rate with the highest energy efficiency and adjusting the ice melting and storage plan to enable the system load rate to be the same as the system load rate with the highest energy efficiency.
4. The optimal control device for a cold storage air conditioning system according to claim 3, wherein the cold release optimization model comprises a cold release optimization mathematical model, a cold release economic model and a cold storage model, and the model formula of the cold release optimization mathematical model is as follows:
wherein E is the daily maximum accumulated cold release amount of the cold accumulation refrigeration system, B is the hourly maximum cold release amount of the cold accumulation refrigeration system, D is the hourly maximum double-working-condition unit refrigerating capacity, ai is the cold load at the ith hour, B is the hourly cold release amount of the cold accumulation refrigeration system, and D is the hourly refrigerating capacity of the double-working-condition unit; i is time, i is 0,2,3, … 23;
the model formula of the cooling release economic model is as follows:
A＝max(∑(β×bj)+∑(γ×bk))，
wherein, a is the daily cost of cold release capacity, β is the daytime average price, γ is the daytime peak price, b is the hourly cold release capacity of the cold storage refrigeration system, j is the average time, k is the peak price time, j is 0,2,3, … 23, k is 0,2,3, … 23, and j and k are not equal;
the model formula of the cold accumulation model is as follows:
wherein, G is cold accumulation time, C is the maximum cold accumulation amount of the double-working-condition unit in hour, b is the cold releasing amount of the cold accumulation refrigerating system in hour, and i is 0,2,3 and … 23.
5. The optimal control device for a cold-storage air conditioning system according to claim 4, characterized in that said acquisition module comprises:
the input module is used for acquiring all-weather peak-valley electricity price information, cold releasing efficiency of the cold storage and refrigeration system and cold storage efficiency and refrigeration efficiency of the double-working-condition unit through input;
and the load module is used for acquiring the time-by-time cooling load of the power utilization side.
6. The optimal control device for a cold-storage air conditioning system according to claim 5, characterized in that said load module comprises:
the terminal load setting submodule is used for setting the on-off of the terminal load and acquiring the hourly cooling load of the power utilization side according to the starting of the terminal load;
and the tail end load prediction submodule is used for predicting the opening and closing of the tail end composition and predicting and acquiring the time-by-time cooling load of the power utilization side according to the starting of the tail end composition.
7. The optimal control device for the cold storage air conditioning system as claimed in claim 6, further comprising a display module for displaying the inputted all-weather peak-to-valley electricity price information and the cooling optimization plan.
8. An optimal control method for a cold storage air conditioning system, characterized in that an optimal control device for a cold storage air conditioning system according to any one of claims 1 to 7 comprises:
s1: the input module acquires all-weather peak-valley electricity price information, cold releasing efficiency of a cold accumulation and refrigeration system, and cold accumulation efficiency and refrigeration efficiency of a double-working-condition unit; the load module acquires the time-by-time cooling load of the electricity utilization side;
s2: the calculation module brings the time-by-time cooling load of the power utilization side and the all-weather peak-valley electricity price information cold release efficiency of the cold storage refrigeration system and the refrigeration efficiency and the cold storage efficiency of the double-working-condition unit into a cold release optimization model for calculation to obtain a cold release optimization plan;
s3: the method comprises the steps that a storage module obtains a stored cold release optimization plan and equipment information, wherein the equipment information comprises water chilling unit information and energy efficiency curve information corresponding to each water chilling unit;
s4: the judging module compares the system load rate of the cold release optimization plan with the system load rate with the highest energy efficiency and adjusts the cold release optimization plan to enable the system load rate to be the same as the system load rate with the highest energy efficiency;
s5: the execution module sends instructions to execute the adjusted cooling optimization plan in S4.
9. The optimal control method for a cold storage air conditioning system according to claim 8, wherein in S2, the calculation module is further configured to obtain multiple sets of cold release optimization initial plans according to the cold release optimization model, and sequentially check the electricity cost of the multiple sets of cold release optimization initial plans, and the cold release optimization initial plan with the minimum electricity cost is the calculated cold release optimization plan.
10. The optimal control method for the cold storage air conditioning system according to claim 8, wherein in S4, the adjusting the two-condition set by the determining module according to the highest energy consumption information of the device information comprises:
when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is less than the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the refrigerating capacity of the double-working-condition unit is increased, and the refrigerating capacity of the cold storage refrigerating system is reduced;
when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is equal to the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the system load rate is not adjusted;
when the system load rate corresponding to the refrigerating capacity of the double-working-condition unit is larger than the load rate corresponding to the highest energy efficiency of the number of running water chilling units, the refrigerating capacity of the double-working-condition unit is reduced, and the cold energy released by the cold storage refrigerating system is stored;
before and after adjustment, the sum of the refrigerating capacity of the double-working-condition unit and the refrigerating capacity of the cold accumulation refrigerating system is the same as the refrigerating load.
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