A control method and system for a district thermal storage plant

Abstract

This invention relates to a control method and system for a regional thermal storage station, comprising: determining the thermal storage capacity of the regional thermal storage station based on the predicted electricity load demand of users in the regional power grid; dividing the regional thermal storage station into rigid thermal storage devices and flexible thermal storage devices according to the thermal storage capacity; and controlling the rigid and flexible thermal storage devices to perform thermal storage. The technical solution provided by this invention optimizes the configuration and scheduling of the various sub-thermal storage devices within the regional thermal storage station, enabling the regional thermal storage station to participate more efficiently in the peak-shaving and frequency regulation of the regional power grid, thereby more effectively increasing the energy utilization rate of the regional power grid and reducing system operating costs.

Description

Technical Field

[0001] This invention relates to the field of new energy consumption, specifically to a control method and system for a regional thermal storage station. Background Technology

[0002] Currently, there is a contradiction between the rapid development of wind and solar power plants and the increasingly serious problem of wind and solar curtailment. Wind curtailment refers to the situation where wind turbines do not supply power to end users during power generation, while solar curtailment refers to the situation where the power generation of photovoltaic power plants exceeds the sum of the maximum power transmission capacity of the power system and the power consumption capacity of the load.

[0003] The development speed of wind power has exceeded the development of the power grid and the electricity load, resulting in an increasingly prominent problem of wind curtailment. The national wind curtailment amount has reached 17.5 billion kilowatt-hours, with a curtailment rate of 15.2%, and in some areas the curtailment rate has even reached 30%-40% or more.

[0004] Because the output of wind and solar power plants is characterized by strong fluctuations, weak anti-interference capabilities, intermittency, and periodicity; and the demand for electricity and heat loads is characterized by real-time changes, the current effective solution to the problem of wind and solar curtailment is to add regional thermal storage stations in the regional power grid for grid peak shaving and frequency regulation, so that the thermal storage stations supply power to the grid during peak electricity demand and absorb the grid's electricity during off-peak electricity demand.

[0005] However, the current approach to adding regional thermal storage stations to regional power grids only considers the overall operation of these stations, without taking into account the detailed operation of each individual thermal storage device. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the purpose of this invention is to propose a control method for regional thermal storage stations. By optimizing the configuration and scheduling of various sub-storage devices within the regional thermal storage station, the regional thermal storage station can participate in the regional power grid's peak shaving and frequency regulation work quickly and efficiently.

[0007] The objective of this invention is achieved through the following technical solution:

[0008] This invention provides a control method for a regional thermal storage station, the improvement of which is that the method includes:

[0009] The thermal storage capacity of the regional thermal storage station is determined based on the predicted electricity load demand of users in the regional power grid.

[0010] Based on the thermal storage capacity of the regional thermal storage station, the station is divided into rigid thermal storage devices and flexible thermal storage devices, and the rigid and flexible thermal storage devices are controlled to perform thermal storage.

[0011] Preferably, determining the thermal storage capacity of the regional thermal storage station based on the predicted electricity load demand of regional power grid users includes:

[0012] Solve the pre-established multi-objective optimal scheduling model of the regional thermal storage station to obtain the thermal storage power of the regional thermal storage station;

[0013] The multi-objective optimal scheduling model for the regional thermal storage station includes the objective function of minimum energy waste and its constraints, as well as the objective function of minimum electricity consumption of electric heating devices and its constraints.

[0014] The objective function for minimizing energy curtailment is constructed based on the predicted electricity load demand of users in the regional power grid.

[0015] Furthermore, the minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations is determined by the following formula:

[0016]

[0017] In the formula, f(t) represents the energy discarded at time t during the control period; P pi (t) represents the predicted output power of the i-th clean energy power generation unit at time t of the control cycle; P ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; P l (t) represents the predicted electricity load demand of regional power grid users at time t during the control cycle; P s (t) represents the thermal storage power of the regional thermal storage station at time t in the control cycle; n represents the number of clean energy power generation units; m represents the number of electric heating devices.

[0018] The constraints corresponding to the minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations are determined by the following formula:

[0019]

[0020] In the formula, P T (t) represents the peak-shaving and frequency-modulating power emitted by the scheduling system at time t during the control cycle.

[0021] Furthermore, the objective function for minimizing the electricity consumption of electric heating devices in the pre-established multi-objective optimal scheduling model of the regional thermal storage station is determined by the following formula:

[0022]

[0023] In the formula, C(t) represents the electricity consumption of the electric heating device at time t of the control cycle; C j (t) represents the electricity consumption of the j-th electric heating device at time t of the control cycle; m represents the number of electric heating devices.

[0024] The power consumption C of the electric heating device at time t in the control cycle is determined by the following formula. j (t):

[0025] C j (t)=α j p ej (t)·(β ej1 (t)+β ej2 (t)+β ej3 (t)+β ej4 (t))

[0026] In the formula, α j P is the load importance coefficient supplied by the j-th electric heating device. ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; β ej1 (t) represents the heating power consumption coefficient of the j-th electric heating device at time t in the control cycle; β ej2 (t) represents the heat loss coefficient of the j-th electric heating device at time t in the control cycle; β ej3 (t) represents the management loss coefficient of the j-th electric heating device at time t in the control cycle; β ej4 (t) is the control loss coefficient of the j-th electric heating device at time t in the control cycle;

[0027] The constraint conditions corresponding to the objective function of minimum electric heating device power consumption in the pre-established multi-objective optimal scheduling model of regional thermal storage stations are determined by the following formula:

[0028] ζ1≤D(t)≤ξ2

[0029] In the formula, ζ1 is the preset minimum operating cost of the electric heating device at time t of the control cycle; ξ2 is the preset maximum operating cost of the electric heating device at time t of the control cycle; D(t) is the operating cost of the electric heating device at time t of the control cycle.

[0030] The operating cost D(t) of the electric heating device at time t of the control cycle is determined by the following formula:

[0031]

[0032] In the formula, y j1 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j2 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j3 (t) represents the management cost of the j-th electric heating device at time t in the control cycle; y j4 (t) represents the control cost of the j-th electric heating device at time t in the control cycle.

[0033] Preferably, the step of dividing the rigid thermal storage device and flexible thermal storage device within the regional thermal storage station according to the thermal storage capacity of the regional thermal storage station includes:

[0034] All thermal storage devices are arranged in descending order based on their thermal storage capacity within the regional thermal storage station.

[0035] Select the thermal storage devices one by one from front to back. If the sum of the thermal storage capacity of the first N1 thermal storage devices and the minimum thermal storage power of the regional thermal storage station at each moment within the control period satisfy the first constraint condition, then the first N1 thermal storage devices are regarded as rigid thermal storage devices and the remaining thermal storage devices are regarded as flexible thermal storage devices.

[0036] The first constraint is: Among them, R k P represents the thermal storage capacity of the k-th thermal storage device. v It is the minimum value of the thermal storage power of the regional thermal storage station at each moment within the control cycle.

[0037] Preferably, controlling the rigid thermal storage device and the flexible thermal storage device to perform thermal storage includes:

[0038] The minimum thermal storage power of the regional thermal storage station at each moment within the control cycle is allocated to all rigid thermal storage devices for thermal storage.

[0039] The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period is obtained, and the difference is allocated to the flexible thermal storage device in the regional thermal storage station for thermal storage at the moment corresponding to each difference.

[0040] Furthermore, the step of allocating the thermal energy to the flexible thermal storage devices within the regional thermal storage station at the corresponding times of each difference includes:

[0041] At time t of the control cycle, the flexible thermal storage devices in the regional thermal storage station are arranged in descending order according to their thermal storage capacity.

[0042] Flexible thermal storage devices are selected one by one from front to back. If the difference between the total thermal storage capacity of the first N2 flexible thermal storage devices and the difference between the thermal storage power of the regional thermal storage station at each moment during the control period and the minimum value of the thermal storage power of the regional thermal storage station at each moment during the control period satisfies the second constraint condition, then the difference is allocated to the first N2 flexible thermal storage devices for thermal storage.

[0043] The second constraint is: Among them, R l P represents the thermal storage capacity of the k-th flexible thermal storage device. x The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period.

[0044] This invention provides a control system for a regional thermal storage station, the improvement of which is that the system includes:

[0045] The determination module is used to determine the thermal storage capacity of the regional thermal storage station based on the predicted value of the regional power grid user electricity load demand;

[0046] The control module is used to divide the rigid thermal storage device and the flexible thermal storage device in the regional thermal storage station according to the thermal storage power of the regional thermal storage station, and to control the rigid thermal storage device and the flexible thermal storage device to perform thermal storage.

[0047] Preferably, the determining module is used for:

[0048] Solve the pre-established multi-objective optimal scheduling model of the regional thermal storage station to obtain the thermal storage power of the regional thermal storage station;

[0049] The multi-objective optimal scheduling model for the regional thermal storage station includes the objective function of minimum energy waste and its constraints, as well as the objective function of minimum electricity consumption of electric heating devices and its constraints.

[0050] The objective function for minimizing energy curtailment is constructed based on the predicted electricity load demand of users in the regional power grid.

[0051] Furthermore, the minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations is determined by the following formula:

[0052]

[0053] In the formula, f(t) represents the energy discarded at time t during the control period; P pi (t) represents the predicted output power of the i-th clean energy power generation unit at time t of the control cycle; P ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; P l (t) represents the predicted electricity load demand of regional power grid users at time t during the control cycle; P s (t) represents the thermal storage power of the regional thermal storage station at time t in the control cycle; n represents the number of clean energy power generation units; m represents the number of electric heating devices.

[0054] The constraints corresponding to the minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations are determined by the following formula:

[0055]

[0056] In the formula, P T (t) represents the peak-shaving and frequency-modulating power emitted by the scheduling system at time t during the control cycle.

[0057] Furthermore, the objective function for minimizing the electricity consumption of electric heating devices in the pre-established multi-objective optimal scheduling model of the regional thermal storage station is determined by the following formula:

[0058]

[0059] In the formula, C(t) represents the electricity consumption of the electric heating device at time t of the control cycle; C j (t) represents the electricity consumption of the j-th electric heating device at time t of the control cycle; m represents the number of electric heating devices.

[0060] The power consumption C of the electric heating device at time t in the control cycle is determined by the following formula. j (t):

[0061] C j (t)=α j p ej (t)·(β ej1 (t)+β ej2 (t)+β ej3 (t)+β ej4 (t))

[0062] In the formula, α j P is the load importance coefficient supplied by the j-th electric heating device. ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; β ej1 (t) represents the heating power consumption coefficient of the j-th electric heating device at time t in the control cycle; β ej2 (t) represents the heat loss coefficient of the j-th electric heating device at time t in the control cycle; β ej3 (t) represents the management loss coefficient of the j-th electric heating device at time t in the control cycle; β ej4 (t) is the control loss coefficient of the j-th electric heating device at time t in the control cycle;

[0063] The constraint conditions corresponding to the objective function of minimum electric heating device power consumption in the pre-established multi-objective optimal scheduling model of regional thermal storage stations are determined by the following formula:

[0064] ζ1≤D(t)≤ξ2

[0065] In the formula, ζ1 is the preset minimum operating cost of the electric heating device at time t of the control cycle; ξ2 is the preset maximum operating cost of the electric heating device at time t of the control cycle; D(t) is the operating cost of the electric heating device at time t of the control cycle.

[0066] The operating cost D(t) of the electric heating device at time t of the control cycle is determined by the following formula:

[0067]

[0068] In the formula, y j1 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j2 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j3 (t) represents the management cost of the j-th electric heating device at time t in the control cycle; y j4 (t) represents the control cost of the j-th electric heating device at time t in the control cycle.

[0069] Preferably, the step of dividing the rigid thermal storage device and flexible thermal storage device within the regional thermal storage station according to the thermal storage capacity of the regional thermal storage station includes:

[0070] All thermal storage devices are arranged in descending order based on their thermal storage capacity within the regional thermal storage station.

[0071] Select the thermal storage devices one by one from front to back. If the sum of the thermal storage capacity of the first N1 thermal storage devices and the minimum thermal storage power of the regional thermal storage station at each moment within the control period satisfy the first constraint condition, then the first N1 thermal storage devices are regarded as rigid thermal storage devices and the remaining thermal storage devices are regarded as flexible thermal storage devices.

[0072] The first constraint is: Among them, R k P represents the thermal storage capacity of the k-th thermal storage device. v It is the minimum value of the thermal storage power of the regional thermal storage station at each moment within the control cycle.

[0073] Preferably, controlling the rigid thermal storage device and the flexible thermal storage device to perform thermal storage includes:

[0074] The minimum thermal storage power of the regional thermal storage station at each moment within the control cycle is allocated to all rigid thermal storage devices for thermal storage.

[0075] The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period is obtained, and the difference is allocated to the flexible thermal storage device in the regional thermal storage station for thermal storage at the moment corresponding to each difference.

[0076] Furthermore, the step of allocating the thermal energy to the flexible thermal storage devices within the regional thermal storage station at the corresponding times of each difference includes:

[0077] At time t of the control cycle, the flexible thermal storage devices in the regional thermal storage station are arranged in descending order according to their thermal storage capacity.

[0078] Flexible thermal storage devices are selected one by one from front to back. If the difference between the total thermal storage capacity of the first N2 flexible thermal storage devices and the difference between the thermal storage power of the regional thermal storage station at each moment during the control period and the minimum value of the thermal storage power of the regional thermal storage station at each moment during the control period satisfies the second constraint condition, then the difference is allocated to the first N2 flexible thermal storage devices for thermal storage.

[0079] The second constraint is: Among them, R l P represents the thermal storage capacity of the k-th flexible thermal storage device. x The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period.

[0080] Compared with the closest existing technology, the present invention has the following advantages:

[0081] The technical solution provided by this invention determines the thermal storage power of the regional thermal storage station based on the predicted value of the regional power grid user's electricity load demand; utilizes the coordinated operation of multiple thermal storage devices for peak shaving; and utilizes the alternating operation of thermal storage devices and electric heating devices for frequency regulation, thereby realizing the peak shaving and frequency regulation function of the regional thermal storage station.

[0082] The technical solution provided by the present invention controls the rigid and flexible thermal storage devices in the regional thermal storage station to store heat according to the thermal storage power of the regional thermal storage station, and dynamically controls the operation of each thermal storage device according to the predicted regional power grid user electricity load demand value, thereby preprocessing the dynamic changes of regional power grid user electricity load.

[0083] The technical solution proposed in this invention divides the thermal storage devices of regional thermal storage stations into two categories: rigid thermal storage devices and flexible thermal storage devices, thereby reducing the number of times the thermal storage devices operate and lowering the complexity of their control. Attached Figure Description

[0084] Figure 1 This is a flowchart of a control method for a regional thermal storage station;

[0085] Figure 2 This is a flowchart of the control system for a regional thermal storage station. Detailed Implementation

[0086] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0087] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0088] This invention provides a control method for a regional thermal storage station, such as... Figure 1 As shown, the method includes:

[0089] Step 101. Determine the thermal storage capacity of the regional thermal storage station based on the predicted electricity load demand of regional power grid users;

[0090] In a preferred embodiment of the present invention, the method for obtaining the predicted value of the regional power grid user load demand can be as follows:

[0091] The user load data and real-time electricity price data of the regional power grid corresponding to the sampling time within the historical sampling period, as well as the regional meteorological data and date type data of the next time of the sampling time, are used as the input layer training samples of the initial LSTM neural network model. The user electricity load demand corresponding to the next time of the sampling time is used as the output layer training samples of the initial LSTM neural network model. The initial LSTM neural network is trained to obtain an LSTM neural network model for predicting user electricity load demand.

[0092] By substituting the current regional power grid user load data and regional power grid real-time electricity price data, along with the regional meteorological data and date-type data for the next time moment, into the LSTM neural network model, the predicted values ​​of regional power grid user heat and electricity load demand for the next time moment are obtained.

[0093] For example: Obtain the predicted electricity load demand of users in the regional power grid by following these steps:

[0094] Step 1: Collect the historical feature dataset P of the regional power grid L ={P l0 ,P l1 ,P l2 ...P lx-2 ,P lx-1};

[0095] Among them, P lx-1 The historical characteristic data P of the regional power grid at x-1 historical moments is given. ln-1 ={P ln-1,1 ,P ln-1,2 ,P ln-1,3 ,......,P ln-1,48Data is collected every half hour, and the key data includes: user electricity load demand data, regional meteorological information, date type, and real-time electricity price information; regional meteorological information can be obtained from weather forecasts.

[0096] Step 2: Transfer historical characteristic data P of the regional power grid L ={P l0 ,P l1 ,P l2 ...P x-2 ,P x-1 The historical feature data is used as the input layer training sample of the initial LSTM neural network model, and the user electricity load demand data corresponding to the historical feature data is used as the output layer training sample of the initial LSTM neural network model. The process is iterated repeatedly to make the test error less than 0.01, and the model LSTM1 used to predict user electricity load demand data is obtained. The model LSTM1 used to predict user electricity load demand data is updated every year.

[0097] Step 3: Use the LSTM neural network model for predicting user electricity load demand data to obtain the predicted electricity load demand of users in the regional power grid.

[0098] Step 102. Divide the rigid thermal storage device and flexible thermal storage device in the regional thermal storage station according to the thermal storage power, and control the rigid thermal storage device and flexible thermal storage device to perform thermal storage.

[0099] Specifically, step 101 includes:

[0100] Solve the pre-established multi-objective optimal scheduling model of the regional thermal storage station to obtain the thermal storage power of the regional thermal storage station;

[0101] The multi-objective optimal scheduling model for the regional thermal storage station includes the objective function of minimum energy waste and its constraints, as well as the objective function of minimum electricity consumption of electric heating devices and its constraints.

[0102] The objective function for minimizing energy curtailment is constructed based on the predicted electricity load demand of users in the regional power grid.

[0103] In the optimal embodiment of the present invention, the method for solving the pre-established multi-objective optimal scheduling model of regional thermal storage stations can be: particle swarm optimization algorithm.

[0104] Specifically, the minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations is determined by the following formula:

[0105]

[0106] In the formula, f(t) represents the energy discarded at time t during the control period; P pi(t) represents the predicted output power of the i-th clean energy power generation unit at time t of the control cycle; P ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; P l (t) represents the predicted electricity load demand of regional power grid users at time t during the control cycle; P s (t) represents the thermal storage power of the regional thermal storage station at time t in the control cycle; n represents the number of clean energy power generation units; m represents the number of electric heating devices.

[0107] The constraints corresponding to the minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations are determined by the following formula:

[0108]

[0109] In the formula, P T (t) represents the peak-shaving and frequency-modulating power emitted by the scheduling system at time t during the control cycle.

[0110] Specifically, the objective function for minimizing the electricity consumption of electric heating devices in the pre-established multi-objective optimal scheduling model for regional thermal storage stations is determined by the following formula:

[0111]

[0112] In the formula, C(t) represents the electricity consumption of the electric heating device at time t of the control cycle; C j (t) represents the electricity consumption of the j-th electric heating device at time t of the control cycle; m represents the number of electric heating devices.

[0113] The power consumption C of the electric heating device at time t in the control cycle is determined by the following formula. j (t):

[0114] C j (t)=α j p ej (t)·(β ej1 (t)+β ej2 (t)+β ej3 (t)+β ej4 (t))

[0115] In the formula, α j P is the load importance coefficient supplied by the j-th electric heating device. ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; β ej1 (t) represents the heating power consumption coefficient of the j-th electric heating device at time t in the control cycle; β ej2 (t) represents the heat loss coefficient of the j-th electric heating device at time t in the control cycle; β ej3(t) represents the management loss coefficient of the j-th electric heating device at time t in the control cycle; β ej4 (t) is the control loss coefficient of the j-th electric heating device at time t in the control cycle;

[0116] The constraint conditions corresponding to the objective function of minimum electric heating device power consumption in the pre-established multi-objective optimal scheduling model of regional thermal storage stations are determined by the following formula:

[0117] ζ1≤D(t)≤ξ2

[0118] In the formula, ζ1 is the preset minimum operating cost of the electric heating device at time t of the control cycle; ξ2 is the preset maximum operating cost of the electric heating device at time t of the control cycle; D(t) is the operating cost of the electric heating device at time t of the control cycle.

[0119] The operating cost D(t) of the electric heating device at time t of the control cycle is determined by the following formula:

[0120]

[0121] In the formula, y j1 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j2 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j3 (t) represents the management cost of the j-th electric heating device at time t in the control cycle; y j4 (t) represents the control cost of the j-th electric heating device at time t in the control cycle.

[0122] In the preferred embodiment of the present invention, the regional thermal storage station and the electric heating device in the regional heating network are jointly scheduled. If there is excess electricity in the regional power grid, the regional thermal storage station will work to absorb the excess electricity. If there is insufficient electricity in the regional power grid at this time, the electric heating device in the heating network can be suspended (or its output reduced) if the remaining capacity of the regional thermal storage station allows, and the regional thermal storage station will replace it to supply heat to the regional heating network, thereby reducing the electricity load of the regional power grid.

[0123] Furthermore, the step of dividing the rigid thermal storage devices and flexible thermal storage devices within the regional thermal storage station according to the thermal storage capacity of the regional thermal storage station includes:

[0124] All thermal storage devices are arranged in descending order based on their thermal storage capacity within the regional thermal storage station.

[0125] Select the thermal storage devices one by one from front to back. If the sum of the thermal storage capacity of the first N1 thermal storage devices and the minimum thermal storage power of the regional thermal storage station at each moment within the control period satisfy the first constraint condition, then the first N1 thermal storage devices are regarded as rigid thermal storage devices and the remaining thermal storage devices are regarded as flexible thermal storage devices.

[0126] The first constraint is: Among them, R k P represents the thermal storage capacity of the k-th thermal storage device. v It is the minimum value of the thermal storage power of the regional thermal storage station at each moment within the control cycle.

[0127] Furthermore, controlling the rigid thermal storage device and the flexible thermal storage device to perform thermal storage includes:

[0128] The minimum thermal storage power of the regional thermal storage station at each moment within the control cycle is allocated to all rigid thermal storage devices for thermal storage.

[0129] The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period is obtained, and the difference is allocated to the flexible thermal storage device in the regional thermal storage station for thermal storage at the moment corresponding to each difference.

[0130] Specifically, the allocation of heat storage to flexible thermal storage devices within the regional thermal storage station at the corresponding times of each difference includes:

[0131] At time t of the control cycle, the flexible thermal storage devices in the regional thermal storage station are arranged in descending order according to their thermal storage capacity.

[0132] Flexible thermal storage devices are selected one by one from front to back. If the difference between the total thermal storage capacity of the first N2 flexible thermal storage devices and the difference between the thermal storage power of the regional thermal storage station at each moment during the control period and the minimum value of the thermal storage power of the regional thermal storage station at each moment during the control period satisfies the second constraint condition, then the difference is allocated to the first N2 flexible thermal storage devices for thermal storage.

[0133] The second constraint is: Among them, R l P represents the thermal storage capacity of the k-th flexible thermal storage device. x The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period.

[0134] In the preferred embodiment of the present invention, the rigid thermal storage device is a thermal storage device that does not change with the load control command in the current state but always maintains a certain working state, while the flexible thermal storage device is a controllable thermal storage device that responds to the load dispatch command in the current state and participates in adjusting the absorption capacity of the regional thermal storage station.

[0135] This invention provides a control system for a regional thermal storage station, such as... Figure 2 As shown, the system includes:

[0136] The determination module is used to determine the thermal storage capacity of the regional thermal storage station based on the predicted value of the regional power grid user electricity load demand;

[0137] The control module is used to divide the rigid thermal storage device and the flexible thermal storage device in the regional thermal storage station according to the thermal storage power of the regional thermal storage station, and to control the rigid thermal storage device and the flexible thermal storage device to perform thermal storage.

[0138] Specifically, the determining module is used for:

[0139] Solve the pre-established multi-objective optimal scheduling model of the regional thermal storage station to obtain the thermal storage power of the regional thermal storage station;

[0140] The multi-objective optimal scheduling model for the regional thermal storage station includes the objective function of minimum energy waste and its constraints, as well as the objective function of minimum electricity consumption of electric heating devices and its constraints.

[0141] The objective function for minimizing energy curtailment is constructed based on the predicted electricity load demand of users in the regional power grid.

[0142] Specifically, the minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations is determined by the following formula:

[0143]

[0144] In the formula, f(t) represents the energy discarded at time t during the control period; P pi (t) represents the predicted output power of the i-th clean energy power generation unit at time t of the control cycle; P ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; P l (t) represents the predicted electricity load demand of regional power grid users at time t during the control cycle; P s (t) represents the thermal storage power of the regional thermal storage station at time t in the control cycle; n represents the number of clean energy power generation units; m represents the number of electric heating devices.

[0145] The constraints corresponding to the minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations are determined by the following formula:

[0146]

[0147] In the formula, P T (t) represents the peak-shaving and frequency-modulating power emitted by the scheduling system at time t during the control cycle.

[0148] Specifically, the objective function for minimizing the electricity consumption of electric heating devices in the pre-established multi-objective optimal scheduling model for regional thermal storage stations is determined by the following formula:

[0149]

[0150] In the formula, C(t) represents the electricity consumption of the electric heating device at time t of the control cycle; C j (t) represents the electricity consumption of the j-th electric heating device at time t of the control cycle; m represents the number of electric heating devices.

[0151] The power consumption C of the electric heating device at time t in the control cycle is determined by the following formula. j (t):

[0152] C j (t)=α j p ej (t)·(β ej1 (t)+β ej2 (t)+β ej3 (t)+β ej4 (t))

[0153] In the formula, α j P is the load importance coefficient supplied by the j-th electric heating device. ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; β ej1 (t) represents the heating power consumption coefficient of the j-th electric heating device at time t in the control cycle; β ej2 (t) represents the heat loss coefficient of the j-th electric heating device at time t in the control cycle; β ej3 (t) represents the management loss coefficient of the j-th electric heating device at time t in the control cycle; β ej4 (t) is the control loss coefficient of the j-th electric heating device at time t in the control cycle;

[0154] The constraint conditions corresponding to the objective function of minimum electric heating device power consumption in the pre-established multi-objective optimal scheduling model of regional thermal storage stations are determined by the following formula:

[0155] ζ1≤D(t)≤ξ2

[0156] In the formula, ζ1 is the preset minimum operating cost of the electric heating device at time t of the control cycle; ξ2 is the preset maximum operating cost of the electric heating device at time t of the control cycle; D(t) is the operating cost of the electric heating device at time t of the control cycle.

[0157] The operating cost D(t) of the electric heating device at time t of the control cycle is determined by the following formula:

[0158]

[0159] In the formula, y j1 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j2 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j3 (t) represents the management cost of the j-th electric heating device at time t in the control cycle; y j4 (t) represents the control cost of the j-th electric heating device at time t in the control cycle.

[0160] Specifically, the step of dividing the rigid thermal storage devices and flexible thermal storage devices within the regional thermal storage station according to the thermal storage capacity of the regional thermal storage station includes:

[0161] All thermal storage devices are arranged in descending order based on their thermal storage capacity within the regional thermal storage station.

[0162] Select the thermal storage devices one by one from front to back. If the sum of the thermal storage capacity of the first N1 thermal storage devices and the minimum thermal storage power of the regional thermal storage station at each moment within the control period satisfy the first constraint condition, then the first N1 thermal storage devices are regarded as rigid thermal storage devices and the remaining thermal storage devices are regarded as flexible thermal storage devices.

[0163] The first constraint is: Among them, R k P represents the thermal storage capacity of the k-th thermal storage device. v It is the minimum value of the thermal storage power of the regional thermal storage station at each moment within the control cycle.

[0164] Specifically, controlling the rigid thermal storage device and the flexible thermal storage device to perform thermal storage includes:

[0165] The minimum thermal storage power of the regional thermal storage station at each moment within the control cycle is allocated to all rigid thermal storage devices for thermal storage.

[0166] The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period is obtained, and the difference is allocated to the flexible thermal storage device in the regional thermal storage station for thermal storage at the moment corresponding to each difference.

[0167] Specifically, the allocation of heat storage to flexible thermal storage devices within the regional thermal storage station at the corresponding times of each difference includes:

[0168] At time t of the control cycle, the flexible thermal storage devices in the regional thermal storage station are arranged in descending order according to their thermal storage capacity.

[0169] Flexible thermal storage devices are selected one by one from front to back. If the difference between the total thermal storage capacity of the first N2 flexible thermal storage devices and the difference between the thermal storage power of the regional thermal storage station at each moment during the control period and the minimum value of the thermal storage power of the regional thermal storage station at each moment during the control period satisfies the second constraint condition, then the difference is allocated to the first N2 flexible thermal storage devices for thermal storage.

[0170] The second constraint is: Among them, R l P represents the thermal storage capacity of the k-th flexible thermal storage device. x The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period.

[0171] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can 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, etc.) containing computer-usable program code.

[0172] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can 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, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0173] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0174] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0175] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A control method for a regional thermal storage station, characterized in that, The method includes: The thermal storage capacity of the regional thermal storage station is determined based on the predicted electricity load demand of users in the regional power grid. Based on the thermal storage capacity of the regional thermal storage station, the station is divided into rigid thermal storage devices and flexible thermal storage devices, and the rigid and flexible thermal storage devices are controlled to perform thermal storage. The control of the rigid thermal storage device and the flexible thermal storage device for thermal storage includes: The minimum thermal storage power of the regional thermal storage station at each moment within the control period is allocated to all rigid thermal storage devices for thermal storage. The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period is obtained, and the difference is allocated to the flexible thermal storage device in the regional thermal storage station for thermal storage at the moment corresponding to each difference.

2. The method as described in claim 1, characterized in that, The process of determining the thermal storage capacity of the regional thermal storage station based on the predicted electricity load demand of regional power grid users includes: Solve the pre-established multi-objective optimal scheduling model of the regional thermal storage station to obtain the thermal storage power of the regional thermal storage station; The multi-objective optimal scheduling model for the regional thermal storage station includes the objective function of minimum energy waste and its constraints, as well as the objective function of minimum electricity consumption of electric heating devices and its constraints. The objective function for minimizing energy curtailment is constructed based on the predicted electricity load demand of users in the regional power grid.

3. The method as described in claim 2, characterized in that, The minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations is determined by the following formula: In the formula, f(t) represents the energy discarded at time t during the control period; P pi (t) represents the predicted output power of the i-th clean energy power generation unit at time t of the control cycle; P ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; P l (t) represents the predicted electricity load demand of regional power grid users at time t during the control cycle; P s (t) represents the thermal storage power of the regional thermal storage station at time t during the control cycle; n represents the number of clean energy power generation units; m represents the number of electric heating devices; The constraints corresponding to the minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations are determined by the following formula: In the formula, P T (t) represents the peak-shaving and frequency-modulating power emitted by the scheduling system at time t during the control cycle.

4. The method as described in claim 2, characterized in that, The objective function for minimizing the electricity consumption of electric heating devices in the pre-established multi-objective optimal scheduling model of regional thermal storage stations is determined by the following formula: In the formula, C(t) represents the electricity consumption of the electric heating device at time t of the control cycle; C j (t) represents the electricity consumption of the j-th electric heating device at time t in the control cycle; m represents the number of electric heating devices; The power consumption C of the electric heating device at time t in the control cycle is determined by the following formula. j (t): C j (t)=a j p ej (t)·(β ej1 (t)+β ej2 (t)+β ej3 (t)+β ej4 (t)) In the formula, α j P is the load importance coefficient supplied by the j-th electric heating device. ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; β ej1 (t) represents the heating power consumption coefficient of the j-th electric heating device at time t in the control cycle; β ej2 (t) represents the heat loss coefficient of the j-th electric heating device at time t in the control cycle; β ej3 (t) represents the management loss coefficient of the j-th electric heating device at time t in the control cycle; β ej4 (t) is the control loss coefficient of the j-th electric heating device at time t in the control cycle; The constraint conditions corresponding to the objective function of minimum electric heating device power consumption in the pre-established multi-objective optimal scheduling model of regional thermal storage stations are determined by the following formula: ζ1≤D(t)≤ξ2 In the formula, ζ1 is the preset minimum operating cost of the electric heating device at time t of the control cycle; ξ2 is the preset maximum operating cost of the electric heating device at time t of the control cycle; D(t) is the operating cost of the electric heating device at time t of the control cycle. The operating cost D(t) of the electric heating device at time t of the control cycle is determined by the following formula: In the formula, y j1 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j2 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j3 (t) represents the management cost of the j-th electric heating device at time t in the control cycle; y j4 (t) represents the control cost of the j-th electric heating device at time t in the control cycle.

5. The method as described in claim 1, characterized in that, The method of dividing the rigid thermal storage device and flexible thermal storage device within the regional thermal storage station according to the thermal storage capacity includes: All thermal storage devices are arranged in descending order based on their thermal storage capacity within the regional thermal storage station. Select the thermal storage devices one by one from front to back. If the sum of the thermal storage capacity of the first N1 thermal storage devices and the minimum thermal storage power of the regional thermal storage station at each moment within the control period satisfy the first constraint condition, then the first N1 thermal storage devices are regarded as rigid thermal storage devices and the remaining thermal storage devices are regarded as flexible thermal storage devices. The first constraint is: Among them, R k P represents the thermal storage capacity of the k-th thermal storage device. v It is the minimum value of the thermal storage power of the regional thermal storage station at each moment within the control cycle.

6. The method as described in claim 1, characterized in that, The process of allocating the heat to flexible thermal storage devices within the regional thermal storage station at the corresponding times of each difference includes: At time t of the control cycle, the flexible thermal storage devices in the regional thermal storage station are arranged in descending order according to their thermal storage capacity. Flexible thermal storage devices are selected one by one from front to back. If the difference between the total thermal storage capacity of the first N2 flexible thermal storage devices and the difference between the thermal storage power of the regional thermal storage station at each moment during the control period and the minimum value of the thermal storage power of the regional thermal storage station at each moment during the control period satisfies the second constraint condition, then the difference is allocated to the first N2 flexible thermal storage devices for thermal storage. The second constraint is: Among them, R l P represents the thermal storage capacity of the k-th flexible thermal storage device. x The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period.

7. A control system for a regional thermal storage station, characterized in that, The system includes: The determination module is used to determine the thermal storage capacity of the regional thermal storage station based on the predicted value of the regional power grid user electricity load demand; The control module is used to divide the rigid thermal storage device and the flexible thermal storage device in the regional thermal storage station according to the thermal storage power of the regional thermal storage station, and to control the rigid thermal storage device and the flexible thermal storage device to perform thermal storage. The control of the rigid thermal storage device and the flexible thermal storage device for thermal storage includes: The minimum thermal storage power of the regional thermal storage station at each moment within the control period is allocated to all rigid thermal storage devices for thermal storage. The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period is obtained, and the difference is allocated to the flexible thermal storage device in the regional thermal storage station for thermal storage at the moment corresponding to each difference.

8. The system as described in claim 7, characterized in that, The determining module is used for: Solve the pre-established multi-objective optimal scheduling model of the regional thermal storage station to obtain the thermal storage power of the regional thermal storage station; The multi-objective optimal scheduling model for the regional thermal storage station includes the objective function of minimum energy waste and its constraints, as well as the objective function of minimum electricity consumption of electric heating devices and its constraints. The objective function for minimizing energy curtailment is constructed based on the predicted electricity load demand of users in the regional power grid.

9. The system as described in claim 8, characterized in that, The minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations is determined by the following formula: In the formula, f(t) represents the energy discarded at time t during the control period; P pi (t) represents the predicted output power of the i-th clean energy power generation unit at time t of the control cycle; P ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; P l (t) represents the predicted electricity load demand of regional power grid users at time t during the control cycle; P s (t) represents the thermal storage power of the regional thermal storage station at time t during the control cycle; n represents the number of clean energy power generation units; m represents the number of electric heating devices; The constraints corresponding to the minimum energy waste objective function in the pre-established multi-objective optimal scheduling model for regional thermal storage stations are determined by the following formula: In the formula, P T (t) represents the peak-shaving and frequency-modulating power emitted by the scheduling system at time t during the control cycle.

10. The system as described in claim 8, characterized in that, The objective function for minimizing the electricity consumption of electric heating devices in the pre-established multi-objective optimal scheduling model of regional thermal storage stations is determined by the following formula: In the formula, C(t) represents the electricity consumption of the electric heating device at time t of the control cycle; C j (t) represents the electricity consumption of the j-th electric heating device at time t in the control cycle; m represents the number of electric heating devices; The power consumption C of the electric heating device at time t in the control cycle is determined by the following formula. j (t): C j (t)=a j p ej (t)·(β ej1 (t)+β ej2 (t)+β ej3 (t)+β ej4 (t)) In the formula, α j P is the load importance coefficient supplied by the j-th electric heating device. ej (t) represents the heating power of the j-th electric heating device at time t in the control cycle; β ej1 (t) represents the heating power consumption coefficient of the j-th electric heating device at time t in the control cycle; β ej2 (t) represents the heat loss coefficient of the j-th electric heating device at time t in the control cycle; β ej3 (t) represents the management loss coefficient of the j-th electric heating device at time t in the control cycle; β ej4 (t) is the control loss coefficient of the j-th electric heating device at time t in the control cycle; The constraint conditions corresponding to the objective function of minimum electric heating device power consumption in the pre-established multi-objective optimal scheduling model of regional thermal storage stations are determined by the following formula: ζ1≤D(t)≤ξ2 In the formula, ζ1 is the preset minimum operating cost of the electric heating device at time t of the control cycle; ξ2 is the preset maximum operating cost of the electric heating device at time t of the control cycle; D(t) is the operating cost of the electric heating device at time t of the control cycle. The operating cost D(t) of the electric heating device at time t of the control cycle is determined by the following formula: In the formula, y j1 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j2 (t) represents the heating cost of the j-th electric heating device at time t in the control cycle; y j3 (t) represents the management cost of the j-th electric heating device at time t in the control cycle; y j4 (t) represents the control cost of the j-th electric heating device at time t in the control cycle.

11. The system as described in claim 7, characterized in that, The method of dividing the rigid thermal storage device and flexible thermal storage device within the regional thermal storage station according to the thermal storage capacity includes: All thermal storage devices are arranged in descending order based on their thermal storage capacity within the regional thermal storage station. Select the thermal storage devices one by one from front to back. If the sum of the thermal storage capacity of the first N1 thermal storage devices and the minimum thermal storage power of the regional thermal storage station at each moment within the control period satisfy the first constraint condition, then the first N1 thermal storage devices are regarded as rigid thermal storage devices and the remaining thermal storage devices are regarded as flexible thermal storage devices. The first constraint is: Among them, R k P represents the thermal storage capacity of the k-th thermal storage device. v It is the minimum value of the thermal storage power of the regional thermal storage station at each moment within the control cycle.

12. The system as described in claim 7, characterized in that, The process of allocating the heat to flexible thermal storage devices within the regional thermal storage station at the corresponding times of each difference includes: At time t of the control cycle, the flexible thermal storage devices in the regional thermal storage station are arranged in descending order according to their thermal storage capacity. Flexible thermal storage devices are selected one by one from front to back. If the difference between the total thermal storage capacity of the first N2 flexible thermal storage devices and the difference between the thermal storage power of the regional thermal storage station at each moment during the control period and the minimum value of the thermal storage power of the regional thermal storage station at each moment during the control period satisfies the second constraint condition, then the difference is allocated to the first N2 flexible thermal storage devices for thermal storage. The second constraint is: Among them, R l P represents the thermal storage capacity of the k-th flexible thermal storage device. x The difference between the thermal storage power of the regional thermal storage station at each moment within the control period and the minimum thermal storage power of the regional thermal storage station at each moment within the control period.

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