Cooperative operation method of salt cavern comprehensive energy system

Abstract

The invention relates to the technical field of new energy, in particular to a salt cavern integrated energy system cooperative operation method, which comprises the following steps: predicting a unit combination of a target day according to historical power prediction data and historical load prediction data, and starting and stopping the unit combination of the target day under a unit start-stop plan of the target day; simulating a plurality of simulation operation scenes of the unit combination by using the historical power prediction data, and obtaining operation data in each simulation operation scene; and based on the operation data in each simulated operation scene, calculating a power grid total power imbalance value of the salt-cavern comprehensive energy system under different resource configurations, and according to the power grid total power imbalance value of the salt-cavern comprehensive energy system under different resource configurations, adjusting the configuration proportion of each resource in the salt-cavern comprehensive energy system during collaborative operation. Therefore, the problem of poor flexibility and the like caused by the fact that the cooperative operation method of the existing salt-cavern comprehensive energy system cannot meet the balance of power supply and demand in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of new energy technology, and in particular to a method for collaborative operation of a salt cavern integrated energy system. Background Art

[0002] In recent years, to address the increasingly severe energy crisis and environmental issues, new energy sources, primarily wind power and photovoltaics, have rapidly developed. However, the significant volatility of new energy sources poses significant challenges to their absorption and the safe and stable operation of power systems. Energy storage technology, as a key solution, has seen rapid development. Compressed air energy storage, with its large capacity, low unit price, and flexible configuration, has become the most promising form of large-scale energy storage in the future. Integrated energy systems, by integrating energy across multiple links—extraction, transmission, distribution, storage, conversion, and consumption—meet users' ultimate energy needs, becoming a crucial platform for addressing the energy crisis and promoting energy system transformation. Utilizing large-scale spaces formed by underground geological structures as energy storage reservoirs, with capacities ranging from hundreds of thousands to millions of cubic meters, they can withstand pressures far exceeding those of surface storage tanks. Their excellent sealing and isolation properties provide a more reliable guarantee for the safety and economic viability of energy storage. Currently, depleted oil and gas reservoirs, underground salt caverns, abandoned mines, aquifers, and lined man-made chambers are all suitable candidates for underground energy storage. Underground salt caverns, due to their superior physical properties, are considered ideal locations for storing energy storage media.

[0003] In related technologies, regional power grids have always faced an imbalance in power supply and demand. Salt cavern integrated energy systems can effectively alleviate this problem through the coordinated operation of various energy sources within them. However, this coordinated operation, due to the irrational allocation of compressed air energy storage, wind power, photovoltaic power, and other renewable energy sources, leads to an imbalance in power supply and demand, poor flexibility, and an inability to accurately assess risks in extreme scenarios. Furthermore, scheduling strategies are prone to falling into local optimality in fluctuating scenarios, making it difficult to balance short-term economic efficiency with long-term system reliability. Summary of the Invention

[0004] The present application provides a method, device, equipment, storage medium and program for the coordinated operation of a salt cavern integrated energy system to solve the problems in the related art that the coordinated operation method of the existing salt cavern integrated energy system cannot meet the balance of power supply and demand, resulting in poor flexibility.

[0005] A first aspect of the present application provides a method for collaborative operation of a salt cavern integrated energy system, comprising the following steps: obtaining historical power forecast data and historical load forecast data of the salt cavern integrated energy system; predicting a unit combination on a target day based on the historical power forecast data and the historical load forecast data; simulating a plurality of simulated operation scenarios of the unit combination using the historical power forecast data and the historical load forecast data under the unit start and stop plan on the target day, and obtaining operation data under each simulated operation scenario; calculating, based on the operation data under each simulated operation scenario, a total power imbalance value of the salt cavern integrated energy system under different resource configurations, and adjusting the configuration ratio of each resource in the salt cavern integrated energy system during collaborative operation according to the total power imbalance value of the salt cavern integrated energy system under different resource configurations.

[0006] Optionally, the use of the historical power forecast data and the historical load forecast data to simulate multiple simulated operation scenarios of the unit combination includes: identifying the wind power forecast value and wind power error value of the historical power forecast data and the load forecast value and load error value of the historical load forecast data; generating multiple simulated operation scenarios of the unit combination based on the wind power forecast value, the wind power error value, the load forecast value and the load error value.

[0007] Optionally, the calculation of the total power imbalance value of the salt cavern integrated energy system in the power grid under different resource configurations based on the operating data under each simulated operating scenario includes: inputting the operating data under each simulated operating scenario into the target scheduling model, and the target scheduling model outputs the simulation results of the corresponding simulated operating scenario, wherein the simulation results of the simulated operating scenario include unit start and stop plans, unit output, wind curtailment, solar curtailment, load shedding and intermediate variables; and calculating the total power imbalance value of the salt cavern integrated energy system in the power grid under different resource configurations according to the intermediate variables in the simulation results.

[0008] Optionally, the objective function of the target scheduling model is:

[0009]

[0010] The constraints are as follows:

[0011]

[0012] Among them, c W and c L are the penalty amounts for unit wind power curtailment and load shedding respectively, ΔP W,t and ΔP L,t are the wind curtailment and load shedding at time t, respectively; f(x) represents the coal cost of the unit when the output is x; ΔT is the time interval between two adjacent moments; P Gi，tis the output of the i-th conventional generator set at time t, N0 is the number of conventional generator sets; is the predicted value of wind power generation at time t, R di is the maximum drop rate of the i-th conventional generator set, R ui is the maximum rising rate of the i-th conventional generator set, U i，t is the start and stop status of the i-th conventional generator set at time t, is the minimum output of the i-th conventional generator set, is the maximum output of the i-th conventional generator set.

[0013] Optionally, adjusting the configuration ratio of each resource in the salt cavern integrated energy system when operating in coordination according to the total power imbalance value of the power grid under different resource configurations of the salt cavern integrated energy system includes: quantifying multiple flexibility indicators according to the total power imbalance value of the power grid under different resource configurations of the salt cavern integrated energy system; determining the output weight of each energy source corresponding to the simulation result after convergence according to the flexibility indicators and the intermediate variables; and adjusting the configuration ratio of each resource in the salt cavern integrated energy system when operating in coordination according to the output weight of each energy source.

[0014] Optionally, before determining the output weight of each energy source corresponding to the simulation result after convergence based on the flexibility index and the intermediate variable, it includes: calculating the standard deviation coefficient of the evaluation coefficient of each energy form; judging whether the simulation process has converged based on the standard deviation coefficient of the evaluation coefficient; if the simulation process has not converged, iterating the simulation until the evaluation coefficient of each energy source meets the preset threshold to determine the output weight of the compressed air energy storage and wind and solar storage power station system.

[0015] Optionally, the intermediate variables include at least one of wind curtailment, load shedding, downward reserve shortage and upward reserve shortage; the flexibility index includes at least one of upward flexibility shortage probability, upward flexibility shortage expected value, downward flexibility shortage probability and downward flexibility shortage expected value; the salt cavern integrated energy system includes at least one of a wind power generation system, a photovoltaic power generation system, a salt cavern compressed air energy storage system and a transmission route.

[0016] A second aspect of the present application provides a collaborative operation device for a salt cavern integrated energy system, including: an acquisition module for acquiring historical power forecast data and historical load forecast data of the salt cavern integrated energy system; a prediction module for predicting the unit combination and unit start and stop plan of a target day based on the historical power forecast data and historical load forecast data, and under the unit start and stop plan of the target day, using the historical power forecast data to simulate multiple simulated operation scenarios of the unit combination to obtain operation data under each simulated operation scenario; a calculation module for calculating, based on the operation data under each simulated operation scenario, a total power imbalance value of the salt cavern integrated energy system under different resource configurations, and adjusting the configuration ratio of each resource in the salt cavern integrated energy system during collaborative operation according to the total power imbalance value of the salt cavern integrated energy system under different resource configurations.

[0017] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to execute the collaborative operation method of the salt cavern integrated energy system as described in the above embodiment.

[0018] The fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to perform the collaborative operation method of the salt cavern integrated energy system as described in the above embodiment.

[0019] The fifth embodiment of the present application provides a computer program product, including a computer program or instructions, which, when executed, implements the collaborative operation method of the salt cavern integrated energy system as described in the above embodiment.

[0020] Therefore, this application has at least the following beneficial effects:

[0021] In an embodiment of the present application, the unit combination for a target day can be predicted based on the historical power forecast data and the historical load forecast data of the salt cavern integrated energy system. Under the unit start and stop plan for the target day, the historical power forecast data is used to simulate a variety of simulated operation scenarios of the unit combination, thereby achieving multi-scenario simulation coverage to avoid uncertainty and improve the accuracy of subsequent calculations. The working status of each device in the various simulated operation scenarios is analyzed to generate corresponding operation data. Based on the operation data, the total power imbalance value of the salt cavern integrated energy system under different resource configurations is calculated. Based on the total power imbalance value of the salt cavern integrated energy system under different resource configurations, the output weight of each resource in the salt cavern integrated energy system during collaborative operation is adjusted in real time to minimize the total power imbalance value of the power grid.

[0022] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0024] Figure 1 This is a flow chart of a collaborative operation method of a salt cavern integrated energy system provided according to an embodiment of the present application;

[0025] Figure 2 A schematic diagram of a wind-solar-storage system model provided according to an embodiment of the present application;

[0026] Figure 3 This is an example diagram of a collaborative operation device of a salt cavern integrated energy system provided according to an embodiment of the present application;

[0027] Figure 4 A schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0028] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0029] In regional power grids, the problem of imbalance between electricity supply and demand has always existed, and the salt cavern integrated energy system can effectively alleviate this problem through the coordinated operation of various energy forms within it. In this coordinated operation process, whether to give priority to compressed air energy storage or new energy sources such as wind power and photovoltaics has become a key issue. Based on this, this application proposes a wind-solar-storage coordinated optimization plan to conduct an in-depth analysis of the working status of each device in the system under historical scenarios, that is, to evaluate the impact of the separate operation of compressed air energy storage, wind power generation and photovoltaic power generation on the regional power grid power demand response in each historical scenario. Through analysis, an overall evaluation of compressed air energy storage, wind power generation and photovoltaic power generation can be made, and the evaluation standard is to minimize the total power imbalance value of the power grid in all historical scenarios. Based on this evaluation, the evaluation coefficients of compressed air energy storage, wind power generation and photovoltaic power generation can be obtained, and then in the actual operation scenarios in the future, compressed air energy storage, wind power and photovoltaic resources can be proportionally configured according to these coefficients to achieve the optimal balance of power supply and demand in the power grid.

[0030] First, an operational model for a wind, solar, and energy storage power station was established, encompassing wind turbines, photovoltaic components, energy storage systems, and transmission lines. Furthermore, by analyzing the operating status of each device in historical scenarios, and through probabilistic modeling and stochastic production simulation, the flexibility of the source network, load storage, and multi-source coordination was calculated. From the perspectives of reliability planning and statistics, a set of quantitative evaluation indicators and methods for the operational flexibility of wind and solar power systems was proposed. Based on a mature data simulation generation algorithm and economic dispatch model, a practical indicator calculation method was proposed. By analyzing the operating status of each device in historical scenarios, evaluation coefficients for pressure storage, wind, and solar resources were derived. Based on these coefficients, resources were proportionally allocated in future actual scenarios to minimize the total power imbalance in the grid.

[0031] The following describes the collaborative operation method, device, electronic device, storage medium and program of the salt cavern integrated energy system according to the embodiment of the present application with reference to the accompanying drawings.

[0032] Specifically, Figure 1 A flow chart of a collaborative operation method of a salt cavern integrated energy system provided in an embodiment of the present application.

[0033] like Figure 1 As shown, the collaborative operation method of the salt cavern integrated energy system includes the following steps:

[0034] In step S101, historical power forecast data and historical load forecast data of the salt cavern integrated energy system are obtained.

[0035] It is understandable that the embodiments of the present application can obtain historical power forecast data and historical load forecast data of the salt cavern integrated energy system, so as to subsequently predict the unit combination of the target day based on the historical power forecast data and historical load forecast data.

[0036] It should be noted that the salt cavern integrated energy system includes wind turbines, photovoltaic elements, energy storage systems and transmission lines to constitute the physical model of the wind, solar and energy storage power station system. Among them, the historical power forecast data includes the measured value and predicted value of wind power, and the historical load forecast data includes the predicted value and predicted correction value of load.

[0037] In step S102, the unit combination of the target day is predicted based on the historical power forecast data and the historical load forecast data. Under the unit start and stop plan of the target day, the historical power forecast data and the historical load forecast data are used to simulate various simulated operation scenarios of the unit combination to obtain the operation data under each simulated operation scenario.

[0038] It can be understood that the embodiment of the present application can predict the unit combination of the target day based on the historical power forecast data and the historical load forecast data, so as to determine the power generation plan of the unit combination, and use the historical power forecast data to simulate multiple simulated operation scenarios of the unit combination under the unit start and stop plan of the target day, and obtain the operation data under each simulated operation scenario. By simulating multiple scenarios, we can better understand the performance of the salt cavern integrated energy system under different decision-making schemes, so as to facilitate the subsequent adjustment of the configuration ratio of each resource in the salt cavern integrated energy system when it operates in collaboration.

[0039] It should be noted that the unit combination for the target day is predicted based on historical power forecast data and historical load forecast data. The unit start and stop plan determines the start and stop status and output distribution of each generating unit on the premise of meeting the balance of power supply and demand and operation constraints, so as to minimize the total operating cost.

[0040] In an embodiment of the present application, historical power forecast data and historical load forecast data are used to simulate various simulated operation scenarios of the unit combination, including: identifying the wind power forecast value and wind power error value of the historical power forecast data and the load forecast value and load error value of the historical load forecast data; generating various simulated operation scenarios of the unit combination based on the wind power forecast value, wind power error value, load forecast value and load error value.

[0041] It can be understood that the embodiments of the present application can generate multiple simulated operation scenarios of unit combinations based on wind power prediction values, wind power error values, load prediction values and load error values, and generate simulated operation scenarios based on wind, light and load uncertainties to improve the accuracy of subsequent data processing.

[0042] Specifically, errors at different times will lead to differences between historical power forecast data and historical load forecast data. The historical power forecast data include: measured wind power value, wind power forecast value and wind power forecast error value; the historical load forecast data include: load forecast value, forecast correction value and load forecast error value. Therefore, a variety of simulated operation scenarios of unit combinations can be simulated, so as to optimize the salt cavern integrated energy system in different resource configurations according to the operation data of different simulated operation scenarios.

[0043] 1) The calculation formula for historical power forecast data is:

[0044]

[0045] Among them, η t,k is the change in prediction error, ε t+k|t is the prediction error value at time t for the future time t+k, ε t+k-1|t is the prediction error value at time t for the future t+k-1 moment, is the measured wind power value at time t, is the wind power forecast value at time t, is the measured wind power value at time t-1, is the wind power forecast value at time t-1.

[0046] 2) The calculation formula for historical load forecast data is:

[0047]

[0048] in, are load forecast and forecast correction value respectively; ΔP load,t is the load forecast error, which obeys the standard normal distribution.

[0049] 3) Wind power The calculation formula for the future wind power forecast probability distribution is:

[0050]

[0051] in, is the wind power prediction probability distribution, is the wind power prediction value, ε i is the historical forecast error, is the set of historical forecast errors.

[0052] In step S103, based on the operating data under each simulated operating scenario, the total power imbalance value of the salt cavern integrated energy system under different resource configurations is calculated, and according to the total power imbalance value of the salt cavern integrated energy system under different resource configurations, the configuration ratio of each resource in the salt cavern integrated energy system during collaborative operation is adjusted.

[0053] It can be understood that the embodiment of the present application can calculate the total power imbalance value of the salt cavern integrated energy system under different resource configurations based on the operating data under each simulated operation scenario, and adjust the configuration ratio of each resource in the salt cavern integrated energy system during collaborative operation according to the total power imbalance value of the salt cavern integrated energy system under different resource configurations, so as to achieve the optimal balance of power supply and demand in the power grid and improve resource utilization.

[0054] In an embodiment of the present application, based on the operating data under each simulated operating scenario, the total power imbalance value of the salt cavern integrated energy system in the power grid under different resource configurations is calculated, including: inputting the operating data under each simulated operating scenario into the target scheduling model, and the target scheduling model outputs the simulation results of the corresponding simulated operating scenario, wherein the simulation results of the simulated operating scenario include the unit start and stop plan, unit output, wind curtailment, solar curtailment, load shedding and intermediate variables; and calculating the total power imbalance value of the salt cavern integrated energy system in the power grid under different resource configurations according to the intermediate variables in the simulation results.

[0055] Among them, the objective function of the target scheduling model is:

[0056]

[0057] The constraints are as follows:

[0058]

[0059] Among them, c W and c L are the penalty amounts for unit wind power curtailment and load shedding respectively, ΔP W,t and ΔP L,t are the wind curtailment and load shedding at time t, respectively; f(x) represents the coal cost of the unit when the output is x; ΔT is the time interval between two adjacent moments; P Gi，t is the output of the i-th conventional generator set at time t, N0 is the number of conventional generator sets; is the predicted value of wind power generation at time t, R di is the maximum drop rate of the i-th conventional generator set, R ui is the maximum rising rate of the i-th conventional generator set, U i，t is the start and stop status of the i-th conventional generator set at time t, is the minimum output of the i-th conventional generator set, is the maximum output of the i-th conventional generator set.

[0060] It can be understood that the embodiment of the present application can calculate the costs of different simulated operation scenarios based on the target scheduling model, determine the optimal operation scenario with the goal of minimizing costs, and determine the unit start and stop plan, unit output, wind curtailment, solar curtailment, load shedding and intermediate variables based on the simulation results of the optimal operation scenario to calculate the total power imbalance value of the salt cavern integrated energy system under different resource configurations, so as to facilitate the subsequent adjustment of the configuration ratio of each resource in the salt cavern integrated energy system during collaborative operation according to the total power imbalance value of the power grid, so as to achieve the optimal balance of power supply and demand in the power grid and improve resource utilization.

[0061] It should be noted that the intermediate variables include at least one of the wind curtailment amount, load shedding amount, solar curtailment amount, downward reserve shortage and upward reserve shortage; the flexibility index includes at least one of the upward flexibility shortage probability, upward flexibility shortage expected value, downward flexibility shortage probability and downward flexibility shortage expected value; the salt cavern integrated energy system includes at least one of a wind power generation system, a photovoltaic power generation system, a salt cavern compressed air energy storage system and a transmission route.

[0062] Specifically, the probability parameter P of insufficient flexibility is increased. UFNS, refers to the probability that the reserve of conventional units cannot meet the demand during the operation day. The calculation method is as follows:

[0063]

[0064] Among them, R Ut is the available increase capacity of the system at time t, P net,t+1 and P net,t are the net loads at time t and t+1 respectively; and P Gi,t are the output upper limit of unit i and the actual output at time t; R ui is the ramp rate of unit i; ΔT is the scheduling interval.

[0065] Increase the expected parameter E of insufficient flexibility UFNS , refers to the expected value of the difference between the reserve capacity provided by conventional units and the actual demand during the operating day. The calculation method is as follows:

[0066]

[0067] Among them, R Ut is the available increase capacity of the system at time t, P net,t+1 and P net,t are the net loads at time t and t+1 respectively; R ui is the ramp rate of unit i.

[0068] Lower the probability parameter P of insufficient flexibility DFNS , refers to the probability that the reserve of conventional units cannot meet the demand during the operation day. The calculation method is as follows:

[0069]

[0070] Among them, R Dt is the down-regulation capacity available to the system at time t; is the lower limit of the output of unit i; R di is its lower climbing rate, P Gi,t is the actual output of the unit at time t.

[0071] Expected downflexibility not supplied parameter E DFNS , refers to the expected value of the difference between the reserve provided by conventional units and the actual demand during the operating day. The calculation method is as follows:

[0072]

[0073] Among them, R Dtis the down-regulation capacity available to the system at time t; P net,t+1 and P net,t are the net loads at time t and t+1 respectively.

[0074] In an embodiment of the present application, according to the total power imbalance value of the power grid under different resource configurations of the salt cavern integrated energy system, the configuration ratio of each resource in the salt cavern integrated energy system when operating in coordination is adjusted, including: quantifying multiple flexibility indicators according to the total power imbalance value of the power grid under different resource configurations of the salt cavern integrated energy system; determining the output weight of each energy source corresponding to the simulation result after convergence according to the flexibility indicators and intermediate variables; and adjusting the configuration ratio of each resource in the salt cavern integrated energy system when operating in coordination according to the output weight of each energy source.

[0075] It can be understood that the embodiment of the present application can quantify multiple flexibility indicators based on the total power imbalance value of the power grid under different resource configurations of the salt cavern integrated energy system; determine the output weight of each energy source corresponding to the simulation results after convergence based on the flexibility indicators and intermediate variables; and adjust the configuration ratio of each resource in the salt cavern integrated energy system when operating collaboratively based on the output weight of each energy source to improve resource utilization.

[0076] Specifically, set 4 intermediate variables ξ up ,η up ,ξ down ,η down (The initial value is 0), used to record the simulation results. According to the calculation results, if the vector ΔP L , t is not all 0, indicating that the reserve for downward adjustment is insufficient, and then it is calculated according to the following formula:

[0077]

[0078] If the vector ΔP W,t If not all are 0, it means that the reserve for upward adjustment is insufficient, then calculate according to the following formula:

[0079]

[0080] Among them, ξ up , η up ,ξ down ,η down They are respectively the upper limit of reserve shortage and the upper limit of error and the lower limit of reserve shortage and the lower limit of error, ΔP L ,t is the load shedding amount at time t, ΔP W,t is the amount of wind curtailment at time t.

[0081] In an embodiment of the present application, before determining the output weight of each energy source corresponding to the simulation result after convergence based on the flexibility index and the intermediate variables, it includes: calculating the standard deviation coefficient of the evaluation coefficient of each energy form; judging whether the simulation process has converged based on the standard deviation coefficient of the evaluation coefficient; if the simulation process has not converged, iterating the simulation until the evaluation coefficient of each energy source meets the preset threshold to determine the output weight of the compressed air energy storage and wind and solar storage power station system.

[0082] The preset threshold can be set according to user needs and is not specifically limited.

[0083] It can be understood that the embodiment of the present application can calculate the standard deviation coefficient of the evaluation coefficient of each energy form; determine whether the simulation process has converged based on the standard deviation coefficient of the evaluation coefficient; if the simulation process has not converged, iterate the simulation until the evaluation coefficient of each energy meets the preset threshold to determine the output weight of the compressed air energy storage and wind and solar energy storage power station system to achieve the optimal balance of power supply and demand in the power grid.

[0084] Specifically, let the number of simulations k = k + 1 and calculate the system flexibility index as shown in the following formula:

[0085]

[0086] Let V σ For an n-dimensional array {X k} standard deviation coefficient, is the average value of the array, and the standard deviation coefficients of the above four flexibility indicators are calculated according to the above formula Used to determine whether the simulation process has converged;

[0087] The calculation formula of the standard deviation coefficient of the flexibility index is:

[0088]

[0089] The constraints are:

[0090]

[0091] Set ε as the error threshold of the variance coefficient to determine whether the above formula is satisfied. If so, the simulation process ends and the system flexibility index is output.

[0092] By comparing P UFNS 、P DFNS 、E UFNS 、E DFNS Four flexibility indicators, namely the total power imbalance value of the power grid in all simulation scenarios for different energy forms. Set the error threshold of the variance coefficient and calculate the standard deviation of the evaluation coefficient of each energy source, namely the coefficient Used to determine whether the simulation process has converged. If the threshold condition is not met, continue iterating the simulation until the evaluation coefficient κ of the three energy sources is stable. w , κ p , κ c .

[0093] Finally, the evaluation coefficient κ of each energy source is output w , κ p , κ c ,These coefficients reflect the extent to which the separate operation of compressed air energy storage, wind power generation, and photovoltaic power generation affects the regional power grid power demand response in historical scenarios.

[0094] These evaluation coefficients will be used in future actual scenarios to proportionally configure compressed air energy storage, wind power and photovoltaic resources to achieve the optimal balance of power supply and demand in the power grid.

[0095] According to the collaborative operation method of the salt cavern integrated energy system proposed in the embodiment of the present application, the unit combination of the target day is predicted based on the historical power forecast data and the historical load forecast data of the salt cavern integrated energy system. Under the unit start and stop plan of the target day, the historical power forecast data is used to simulate multiple simulated operation scenarios of the unit combination, thereby achieving multi-scenario simulation coverage to avoid uncertainty and improve the accuracy of subsequent calculations. The working status of each device in the multiple simulated operation scenarios is analyzed to generate corresponding operation data. The total power imbalance value of the salt cavern integrated energy system under different resource configurations is calculated based on the operation data. According to the total power imbalance value of the salt cavern integrated energy system under different resource configurations, the output weight of each resource in the salt cavern integrated energy system during collaborative operation is adjusted in real time to minimize the total power imbalance value of the power grid.

[0096] Next, a collaborative operation device of a salt cavern integrated energy system proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0097] Figure 3 It is a block diagram of a collaborative operation device of a salt cavern integrated energy system according to an embodiment of the present application.

[0098] like Figure 3 As shown, the collaborative operation device 10 of the salt cavern integrated energy system includes: an acquisition module 100, a prediction module 200 and a calculation module 300.

[0099] Among them, the acquisition module 100 is used to obtain the historical power forecast data and historical load forecast data of the salt cavern integrated energy system; the prediction module 200 is used to predict the unit combination of the target day based on the historical power forecast data and the historical load forecast data, and under the unit start and stop plan of the target day, use the historical power forecast data to simulate multiple simulated operation scenarios of the unit combination, and obtain the operation data under each simulated operation scenario; the calculation module 300 is used to calculate the total power imbalance value of the salt cavern integrated energy system under different resource configurations based on the operation data under each simulated operation scenario, and adjust the configuration ratio of each resource in the salt cavern integrated energy system when operating collaboratively according to the total power imbalance value of the salt cavern integrated energy system under different resource configurations.

[0100] It should be noted that the above explanation of the embodiment of the coordinated operation method of the salt cavern integrated energy system is also applicable to the coordinated operation device of the salt cavern integrated energy system of this embodiment, and will not be repeated here.

[0101] According to the collaborative operation device of the salt cavern integrated energy system proposed in the embodiment of the present application, the unit combination of the target day is predicted based on the historical power forecast data and the historical load forecast data of the salt cavern integrated energy system. Under the unit start and stop plan of the target day, the historical power forecast data is used to simulate multiple simulated operation scenarios of the unit combination, thereby achieving multi-scenario simulation coverage to avoid uncertainty and improve the accuracy of subsequent calculations. The working status of each device in the multiple simulated operation scenarios is analyzed to generate corresponding operation data. The total power imbalance value of the salt cavern integrated energy system under different resource configurations is calculated based on the operation data. According to the total power imbalance value of the salt cavern integrated energy system under different resource configurations, the output weight of each resource in the salt cavern integrated energy system during collaborative operation is adjusted in real time to minimize the total power imbalance value of the power grid.

[0102] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0103] Memory 401 , processor 402 , and computer programs stored in the memory 401 and executable on the processor 402 .

[0104] When the processor 402 executes the program, the coordinated operation method of the salt cavern integrated energy system provided in the above embodiment is implemented.

[0105] Furthermore, the electronic device further includes:

[0106] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0107] The memory 401 is used to store computer programs that can be run on the processor 402 .

[0108] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0109] If the memory 401, the processor 402, and the communication interface 403 are implemented independently, the communication interface 403, the memory 401, and the processor 402 can be connected to each other via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0110] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0111] The processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0112] An embodiment of the present application also provides a computer-readable storage medium having a computer program or instruction stored thereon. When the computer program or instruction is executed by a processor, the collaborative operation method of the salt cavern integrated energy system as described above is implemented.

[0113] An embodiment of the present application also provides a computer program product, including a computer program or instructions, which, when executed, implements the above-mentioned collaborative operation method of the salt cavern integrated energy system.

[0114] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0115] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0116] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing a custom logical function or process step, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed in a different order than shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0117] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, it can be implemented using any one or a combination of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0118] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

Claims

1. A method for collaborative operation of a salt cavern integrated energy system, characterized in that: The following steps are involved: Obtain historical power forecast data and historical load forecast data for the salt cavern integrated energy system; Predicting the unit combination for the target day based on the historical power forecast data and the historical load forecast data, simulating multiple simulated operation scenarios of the unit combination using the historical power forecast data and the historical load forecast data under the unit start and stop plan for the target day, and obtaining operation data under each simulated operation scenario; Based on the operating data under each simulated operation scenario, the total power imbalance value of the salt cavern integrated energy system under different resource configurations is calculated. According to the total power imbalance value of the salt cavern integrated energy system under different resource configurations, the configuration ratio of each resource in the salt cavern integrated energy system during collaborative operation is adjusted.

2. The coordinated operation method of the salt cavern integrated energy system according to claim 1, characterized in that: The simulating multiple simulated operation scenarios of the unit combination using the historical power forecast data and the historical load forecast data includes: Identify wind power prediction values and wind power error values of historical power prediction data and load prediction values and load error values of historical load prediction data; A plurality of simulated operation scenarios of the unit combination are generated according to the wind power prediction value, the wind power error value, the load prediction value and the load error value.

3. The coordinated operation method of the salt cavern integrated energy system according to claim 1, characterized in that: The calculation of the total power imbalance value of the salt cavern integrated energy system under different resource configurations based on the operation data under each simulated operation scenario includes: Inputting the operating data under each simulated operation scenario into a target scheduling model, the target scheduling model outputting a simulation result of the corresponding simulated operation scenario, wherein the simulation result of the simulated operation scenario includes a unit start and stop plan, unit output, wind curtailment amount, solar curtailment amount, load shedding amount, and intermediate variables; The total power imbalance value of the power grid under different resource configurations of the salt cavern integrated energy system is calculated based on the intermediate variables in the simulation results.

4. The coordinated operation method of the salt cavern integrated energy system according to claim 3, characterized in that: The objective function of the target scheduling model is: The constraints are as follows: Among them, c W and c L are the penalty amounts for unit wind power curtailment and load shedding respectively, ΔP W,t and ΔP L,t are the wind curtailment and load shedding at time t, respectively; f(x) represents the coal cost of the unit when the output is x; ΔT is the time interval between two adjacent moments; P Gi，t is the output of the i-th conventional generator set at time t, N0 is the number of conventional generator sets; is the predicted value of wind power generation at time t, R di is the maximum drop rate of the i-th conventional generator set, R ui is the maximum rising rate of the i-th conventional generator set, U i,t is the start and stop status of the i-th conventional generator set at time t, is the minimum output of the i-th conventional generator set, is the maximum output of the i-th conventional generator set.

5. The coordinated operation method of the salt cavern integrated energy system according to claim 3, characterized in that: The method of adjusting the configuration ratio of each resource in the salt cavern integrated energy system when operating in coordination according to the total power imbalance value of the power grid under different resource configurations of the salt cavern integrated energy system includes: quantifying multiple flexibility indicators according to the total power imbalance value of the power grid under different resource configurations of the salt cavern integrated energy system; Determining the output weight of each energy source corresponding to the simulation result after convergence according to the flexibility index and the intermediate variable; The configuration ratio of each resource in the salt cavern integrated energy system during collaborative operation is adjusted according to the output weight of each energy source.

6. The coordinated operation method of the salt cavern integrated energy system according to claim 5, characterized in that: Before determining the output weight of each energy source corresponding to the simulation result after convergence based on the flexibility index and the intermediate variable, the method includes: Calculate the standard deviation coefficient of the evaluation coefficient for each energy form; Determine whether the simulation process has converged according to the standard deviation coefficient of the evaluation coefficient; If the simulation process does not converge, the simulation is iterated until the evaluation coefficient of each energy source meets a preset threshold value to determine the output weights of the compressed air energy storage and wind-solar-storage power station systems.

7. The coordinated operation method of the salt cavern integrated energy system according to claim 6, characterized in that: The intermediate variables include at least one of the wind curtailment amount, load shedding amount, downward reserve shortage and upward reserve shortage; the flexibility index includes at least one of the upward flexibility shortage probability, upward flexibility shortage expected value, downward flexibility shortage probability and downward flexibility shortage expected value; the salt cavern integrated energy system includes at least one of a wind power generation system, a photovoltaic power generation system, a salt cavern compressed air energy storage system and a transmission route.

8. A coordinated operation device for a salt cavern integrated energy system, characterized in that: include: An acquisition module is used to obtain historical power forecast data and historical load forecast data of the salt cavern integrated energy system; a prediction module, configured to predict the unit combination for a target day based on the historical power prediction data and the historical load prediction data, simulate multiple simulated operation scenarios of the unit combination using the historical power prediction data under the unit start and stop plan for the target day, and obtain operation data under each simulated operation scenario; A calculation module is used to calculate the total power imbalance value of the salt cavern integrated energy system under different resource configurations based on the operating data under each simulated operation scenario, and adjust the configuration ratio of each resource in the salt cavern integrated energy system when operating in a coordinated manner according to the total power imbalance value of the salt cavern integrated energy system under different resource configurations.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the collaborative operation method of the salt cavern integrated energy system according to any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the coordinated operation method of the salt cavern integrated energy system according to any one of claims 1 to 6.

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