Source-grid-load-storage integrated project energy storage control method based on time-of-use electricity price

By acquiring energy storage characteristic parameters and time-of-use electricity price data, calculating charging and discharging weights, and dynamically adjusting the energy storage operation status, the problem of the time-of-use electricity price impact not being considered in existing technologies is solved, realizing efficient and flexible control and cost optimization of integrated source-grid-load-storage projects.

CN120914836APending Publication Date: 2025-11-07POWERCHINA FUJIAN ELECTRIC POWER SURVEY & DESIGN INST CO LTD
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Patent Information

Application Number
CN202510614342.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-13
Publication Date
2025-11-07

AI Technical Summary

Technical Problem

Existing technologies have failed to fully consider the impact of time-of-use pricing on system operation in integrated power generation, grid, load and storage projects. This leads to the optimization control methods relying on long-term forecast information, which limits their flexibility and practicality. Furthermore, the high computational complexity makes it difficult to efficiently output the optimal solution that benefits all parties.

Method used

By acquiring the characteristic parameters of energy storage and time-of-use electricity price data, calculating the charging and discharging weights, and combining the power surplus and deficit situation, the operating status of energy storage is dynamically adjusted, and an energy storage control strategy is constructed to achieve flexible regulation of integrated source-grid-load-storage projects.

Benefits of technology

This has enhanced the value and depth of data utilization, improved the scientific and rational operation of energy storage systems, increased the flexibility and adaptability of project regulation, and reduced the cost of purchased electricity.

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Abstract

The invention relates to a time-of-use electricity price-based energy storage control method for a source-grid-load-storage integrated project. The method comprises the following steps of: obtaining characteristic parameters of energy storage; according to a preset energy storage configuration duration, obtaining related data, including new energy output, power load data and time-of-use electricity price data, of the source-grid-load-storage integrated project in a preset time period; calculating a charging weight based on the time-of-use electricity price data, and setting a discharging weight based on surplus output of the source-grid-load-storage integrated project; the running state of current energy storage is obtained by combining time-of-use electricity price data, electric power profit and loss and charge and discharge weights, and the electric power profit and loss is the difference value between the new energy output and the electric power load; based on the running state of the current energy storage and the set energy storage output constraint, obtaining the energy storage output in the corresponding running state; and regulating and controlling the energy storage of the source-network-load-storage integrated project based on the energy storage output, and dynamically adjusting the running state of the energy storage and the corresponding energy storage output according to the related data acquired in real time.
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Description

TECHNICAL FIELD

[0001] The application relates to the technical field of source network load storage integration energy storage, and mainly relates to a source network load storage integration project energy storage control method based on time-of-use electricity price. BACKGROUND

[0002] In recent years, with the rapid expansion of the installed capacity of wind power, photovoltaic power and other new energy, its inherent intermittency and volatility characteristics have posed a severe challenge to the stable operation of the power system. To meet this challenge, the operation mechanism of the power system is undergoing profound changes. On the demand side, the time-of-use electricity price mechanism establishes a time-of-use price signal to effectively guide the optimization and adjustment of load, effectively alleviating the structural contradictions of temporal and spatial mismatch between power supply and demand; on the supply side, the wind, light, load and storage integration development form integrates distributed power, flexible load, energy storage system and smart grid technology, and builds a new mode of coordinated operation of source, network, load and storage.

[0003] Current research on the coordinated operation of source, network, load and storage integration projects mainly focuses on the optimal configuration of power supply and energy storage, and fails to fully consider the influence of the system time-of-use electricity price mechanism on project operation. Existing energy storage optimization control methods cannot adjust the overall operation cost of the source, network, load and storage integration project under the time-of-use electricity price as the optimization target, and in practical applications, they need to rely on long-time-scale prediction information, which limits their flexibility and practicality in actual applications.

[0004] A Chinese invention patent with publication number "CN113743978A" discloses a "time-of-use electricity price formulation method, device and terminal equipment for source, network, load and storage system", which specifically discloses "obtaining energy consumption data of load-side users in a target source, network, load and storage system, establishing an energy consumption model of the load-side users according to the energy consumption data; obtaining power generation data of source-side distributed power in the target source, network, load and storage system, establishing a power generation model of the source-side distributed power according to the power generation data; establishing an interactive time-of-use electricity price formulation model for the target source, network, load and storage system based on the energy consumption model and the power generation model; and solving the interactive time-of-use electricity price formulation model based on a multi-objective algorithm to obtain a time-of-use electricity price scheme for the target source, network, load and storage system", but this method only involves the energy consumption data of the load-side users and the power generation data of the source-side distributed power, and does not mention the relevant information of the energy storage side, so that the established interactive time-of-use electricity price formulation model cannot fully reflect the overall operation characteristics of the source, network, load and storage system, affecting the comprehensive optimization effect of the system; in addition, this method needs to establish the load-side energy consumption model and the source-side power generation model respectively, and the construction of the two types of models highly depends on the completeness of the historical data, if there is missing or noise in the data, the model deviation may be caused, and then the rationality and practicality of the electricity price scheme are affected; at the same time, when the method solves the electricity price scheme based on the multi-objective algorithm, it may face problems such as high computational complexity and slow convergence speed, and it is difficult to efficiently output the optimal solution that takes into account the interests of all parties. SUMMARY

[0005] To solve the above problems existing in the prior art, the application provides a source-grid-load-storage integrated project energy storage control method based on time-of-use electricity price.

[0006] The technical scheme of the application is as follows:

[0007] In one aspect, the application provides a source-grid-load-storage integrated project energy storage control method based on time-of-use electricity price, which comprises the following steps:

[0008] Obtaining characteristic parameters of energy storage, including maximum energy storage capacity, energy storage conversion efficiency, energy storage configuration duration and initial energy storage power;

[0009] According to the preset energy storage configuration duration, obtaining relevant data of the source-grid-load-storage integrated project in the preset period, including new energy output, power load data and time-of-use electricity price data;

[0010] Based on the time-of-use electricity price data, calculating a charging weight, and based on surplus output of the source-grid-load-storage integrated project, setting a discharging weight; combining the time-of-use electricity price data, power profit and loss and the charging and discharging weight, obtaining an operating state of the current energy storage, wherein the power profit and loss is the difference between the new energy output and the power load; based on the operating state of the current energy storage and the set energy storage output constraint, obtaining the energy storage output under the corresponding operating state;

[0011] Based on the energy storage output, regulating and controlling the source-grid-load-storage integrated project energy storage, and dynamically adjusting the operating state of the energy storage and the corresponding energy storage output according to the real-time obtained relevant data.

[0012] Preferably, the charging weight is calculated based on the time-of-use electricity price, specifically as follows:

[0013] By comparing the size relationship between N+1 times the reciprocal of the time-of-use electricity price at each moment and the cumulative value of the reciprocal of the time-of-use electricity price at all moments and 1, the charging weight at each moment is obtained.

[0014] Preferably, the discharging weight is set based on the surplus output of the source-grid-load-storage integrated project, specifically as follows:

[0015] Calculating the difference between the new energy output and the power load at the current moment to obtain the power profit and loss at the current moment; selecting the minimum value between the power profit and loss at the current moment and the maximum energy storage output to obtain the surplus output of the source-grid-load-storage integrated project at the current moment;

[0016] Determining the size relationship between the surplus output at all moments and the maximum energy storage output to obtain the corresponding discharging weight at the current moment.

[0017] Preferably, the operating state of the current energy storage is obtained by combining the time-of-use electricity price, the power profit and loss and the charging and discharging weight, specifically as follows:

[0018] If the time-of-use price at the current time is less than the off-peak time price, the charging weight is greater than 1 and the discharging weight is less than 1, it is determined that the energy storage enters a first charging mode;

[0019] Otherwise, the energy storage operation state is determined according to the power surplus or deficit at the current time; further, if the power surplus or deficit at the current time is a surplus state, the energy storage enters a second charging mode; otherwise, it is determined that the energy storage enters a discharging mode.

[0020] Preferably, based on the current energy storage operation state and the set energy storage output constraint, the energy storage output corresponding to the operation state is obtained, specifically:

[0021] Based on the initial energy storage capacity and the energy storage output at the current time, the energy storage capacity at the current time is calculated;

[0022] Based on the maximum energy storage capacity and the energy storage capacity at the current time, the energy storage output constraint at the current time is set, including the energy storage output constraint in the charging mode and the energy storage output constraint in the discharging mode;

[0023] When the energy storage enters the first charging mode, the peak-valley value price is obtained, and the adjustment coefficient of the peak-valley price difference is calculated through the peak-valley value price and the off-peak time price; the full-power charging reference line is set based on the adjustment coefficient of the peak-valley price difference;

[0024] The relationship between the charging weight at the current time and the full-power charging reference line, and the energy storage output constraint in the charging mode are judged, and the energy storage output at the current time is obtained;

[0025] When the energy storage enters the second charging mode, the energy storage output at the current time is calculated according to the charging weight at the current time, the power surplus or deficit and the energy storage output constraint in the charging mode;

[0026] When the energy storage enters the discharging mode, the energy storage output at the current time is calculated according to the discharging weight at the current time, the negative power surplus or deficit and the energy storage output constraint in the discharging mode.

[0027] On the other hand, the application also proposes a source-grid-load-energy storage integrated project energy storage control system based on time-of-use price, the system comprises a data acquisition module, a calculation energy storage output module and a regulation and control module, wherein:

[0028] The data acquisition module is used to acquire the characteristic parameters of the energy storage, including the maximum energy storage capacity, the energy storage conversion efficiency, the energy storage configuration time length and the initial energy storage capacity; according to the preset energy storage configuration time length, the relevant data of the source-grid-load-energy storage integrated project in the preset period are acquired, including the new energy output, the power load data and the time-of-use price data;

[0029] The computing energy storage output module is configured to calculate a charging weight based on the time-of-use electricity price data, set a discharging weight based on surplus output of the source-grid-load-storage integrated project, and obtain a running state of the current energy storage by combining the time-of-use electricity price data, power surplus and loss, and the charging and discharging weights, wherein the power surplus and loss is a difference between new energy output and power load.

[0030] The regulating module is configured to regulate the energy storage of the source-grid-load-storage integrated project based on the energy storage output, and dynamically adjust the running state of the energy storage and the corresponding energy storage output according to the real-time acquired relevant data.

[0031] Preferably, the charging weight is calculated based on the time-of-use electricity price data, and the discharging weight is set based on the surplus output of the source-grid-load-storage integrated project, specifically as follows.

[0032] The charging weight is calculated specifically by comparing the size relationship between N+1 times the reciprocal of the time-of-use electricity price at each moment and the cumulative value of the reciprocal of the time-of-use electricity price at all moments and 1, to obtain the charging weight at each moment.

[0033] The discharging weight is calculated specifically by calculating the difference between the new energy output and the power load at the current moment to obtain the power surplus and loss at the current moment, and selecting the minimum value between the power surplus and loss at the current moment and the maximum energy storage output to obtain the surplus output of the source-grid-load-storage integrated project at the current moment.

[0034] The size relationship between the surplus output at all moments and the maximum energy storage output is determined to obtain the corresponding discharging weight at the current moment.

[0035] Preferably, the running state of the current energy storage is obtained by combining the time-of-use electricity price data, the power surplus and loss, and the charging and discharging weights, specifically as follows.

[0036] The energy storage capacity at the current moment is calculated based on the initial energy storage capacity and the energy storage output at the current moment.

[0037] The energy storage output constraint at the current moment is set based on the maximum energy storage capacity and the energy storage capacity at the current moment, including the energy storage output constraint in the charging mode and the energy storage output constraint in the discharging mode.

[0038] When the energy storage enters the first charging mode, the peak-valley value electricity price is acquired, the adjustment coefficient of the peak-valley price difference is calculated through the peak-valley value electricity price and the ordinary moment electricity price, and the full-power charging reference line is set based on the adjustment coefficient of the peak-valley price difference.

[0039] The relationship between the charging weight at the current moment and the full-power charging reference line, and the energy storage output constraint in the charging mode are determined to obtain the energy storage output at the current moment.

[0040] When the energy storage enters the second charging mode, the energy storage output at the current moment is calculated according to the charging weight at the current moment, the power profit and loss, and the energy storage output constraint of the charging mode;

[0041] When the energy storage enters the discharging mode, the energy storage output at the current moment is calculated according to the discharging weight at the current moment, the negative number of the power profit and loss, and the energy storage output constraint of the discharging mode.

[0042] In still another aspect, the application further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the energy storage control method of the source-grid-load-storage integrated project based on time-of-use electricity price according to any one of the embodiments of the application.

[0043] In still another aspect, the application further provides a computer readable storage medium, which stores a computer program, wherein the program is executable on a processor to implement the energy storage control method of the source-grid-load-storage integrated project based on time-of-use electricity price according to any one of the embodiments of the application.

[0044] Compared with the prior art, the application has the following beneficial effects:

[0045] 1) The application provides an energy storage control method of a source-grid-load-storage integrated project based on time-of-use electricity price, which comprehensively integrates the operation information of the source-grid-load-storage integrated project by acquiring multi-dimensional related data such as new energy output, power load data, and time-of-use electricity price data, thereby improving the utilization value and analysis depth of data.

[0046] 2) The application provides an energy storage control method of a source-grid-load-storage integrated project based on time-of-use electricity price, which constructs an energy storage control strategy, calculates a charging weight based on time-of-use electricity price, sets a discharging weight based on surplus output, fully considers the electricity price fluctuation and power surplus and deficiency, and enhances the scientificity and rationality of the energy storage system operation strategy; in combination with time-of-use electricity price, power surplus and deficiency, and charging and discharging weight, the running state of the current energy storage is determined, multiple factors are analyzed comprehensively, and the limitation of single factor judgment is avoided.

[0047] 3) The application provides an energy storage control method of a source-grid-load-storage integrated project based on time-of-use electricity price, which regulates and controls the source-grid-load-storage integrated project based on the energy storage control strategy, can quickly respond to various changes in the project operation process, and improves the flexibility of project regulation and control and the adaptability to complex and changeable operation environment. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 is a method flowchart of the embodiment of the application;

[0049] Figure 2 is an energy storage control strategy flowchart of the embodiment of the application;

[0050] Figure 3 is a typical operation of the source-grid-load-storage integration of an embodiment of the present application;

[0051] Figure 4 is a cumulative purchase cost comparison chart of the annual simulation of the energy storage control strategy and the traditional control strategy of an embodiment of the present application. DETAILED DESCRIPTION

[0052] The specific embodiments of the present application are described below to facilitate the understanding of the present application for those skilled in the art, but it should be clear that the present application is not limited to the scope of the specific embodiments, and for those skilled in the art, it is obvious that various changes are within the spirit and scope of the present application defined and determined by the appended claims, and all the inventions utilizing the concept of the present application are within the scope of protection.

[0053] The present application provides the following technical solutions: a source-grid-load-storage integrated project energy storage control method based on time-of-use electricity price.

[0054] Embodiment 1

[0055] Specifically, Figure 1 The embodiment provides a source-grid-load-storage integrated project energy storage control method based on time-of-use electricity price, and the specific steps include:

[0056] S1, obtaining the characteristic parameters of energy storage, including maximum energy storage capacity, energy storage configuration duration, energy storage conversion efficiency and initial energy storage capacity;

[0057] The maximum energy storage capacity is represented as C max , the energy storage configuration duration is represented as T, the energy storage conversion efficiency is represented as η, and the initial energy storage capacity is represented as C0;

[0058] S2, according to the preset energy storage configuration duration, obtaining the related data of the source-grid-load-storage integrated project in the preset period, including new energy output, power load data and time-of-use electricity price data, wherein the new energy output includes wind power output data and photovoltaic output data;

[0059] The power load data is represented as [P Li ,P Li+1 ,...,P Li+N ], the wind power output data is represented as [P WINDi ,P WINDi+1 ,...,P WINDi+N ], the photovoltaic output data is represented as [P SOLARi ,P SOLARi+1 ,...,P SOLARi+N ], and the time-of-use electricity price data is represented as [PR i ,PR i+1..., PR i+N , where N = T / Δt, N represents the data length in the preset period, Δt represents the point-by-point data time interval, i represents the index value of the i th moment, P Li represents the power load at the i th moment, P WINDi represents the wind power output at the i th moment, P SOLARi represents the photovoltaic output at the i th moment, PR i represents the time-of-use electricity price at the i th moment.

[0060] S3, calculating the charging weight based on the time-of-use electricity price, specifically, by comparing the size relationship between N+1 times the reciprocal of the time-of-use electricity price at each moment and the cumulative value of the reciprocal of the time-of-use electricity price at all moments and 1, the charging weight at each moment is obtained, which is expressed in a formula as:

[0061]

[0062] In the formula, CR i represents the charging weight at the i th moment; max represents the maximum value function; PR i -1 represents the reciprocal of the time-of-use electricity price at the i th moment.

[0063] S4, setting the discharging weight based on the surplus output of the source-grid-load-storage integrated project;

[0064] S41, calculating the difference between the new energy output and the power load at the current moment to obtain the power profit and loss at the current moment, which is expressed in a formula as:

[0065] P RLi = P WINDi + P SOLARi - P Li ;

[0066] In the formula, P RLi represents the power profit and loss at the i th moment.

[0067] Selecting the minimum value between the power profit and loss at the current moment and the maximum storage output to obtain the surplus output of the source-grid-load-storage integrated project at the current moment, which is expressed in a formula as:

[0068] P SPi = min{max{P RLi , 0}, P S,max};

[0069] In the formula, P SPi represents the surplus output at the i th moment; P S,max represents the maximum storage output; min represents the minimum value function; max represents the maximum value function.

[0070] S42, determine the size relationship between the surplus power and the maximum energy storage power at all times, and obtain the discharge weight corresponding to the current time;

[0071] If then the discharge weight DCR i = 1, where DCR i represents the discharge weight at the i-th time;

[0072] If then the discharge weight

[0073] S5, combine the time-of-use electricity price, power surplus and loss, and the charge and discharge weight to obtain the running state of the current energy storage;

[0074] If the time-of-use electricity price at the current time is less than the average time-of-use electricity price, the charge weight is greater than 1 and the discharge weight is less than 1, then determine that the energy storage enters the first charging mode;

[0075] Otherwise, determine the energy storage running state according to the power surplus and loss at the current time; further, if the power surplus and loss at the current time is in a surplus state, then the energy storage enters the second charging mode; otherwise, determine that the energy storage enters the discharging mode;

[0076] S6, obtain the energy storage output corresponding to the running state based on the running state of the current energy storage and the set energy storage output constraint;

[0077] Based on the initial energy storage capacity and the energy storage output at the current time, calculate the energy storage capacity at the current time, which is expressed by the formula:

[0078]

[0079] In the formula, C i represents the energy storage capacity at the i-th time; P Si represents the energy storage output at the i-th time;

[0080] Based on the maximum energy storage capacity and the energy storage capacity at the current time, set the energy storage output constraint at the current time, including the energy storage output constraint in the charging mode and the energy storage output constraint in the discharging mode;

[0081] The energy storage output constraint in the charging mode is expressed by the formula:

[0082]

[0083] In the formula, P CR,Limit represents the energy storage output constraint in the charging mode;

[0084] The energy storage output constraint in the discharging mode is expressed by the formula:

[0085]

[0086] wherein P DCR,Limit represents the energy storage output constraint in the discharging mode;

[0087] When the energy storage enters the first charging mode, the peak-valley value of electricity price is obtained, and an adjustment coefficient of the peak-valley price difference is calculated based on the peak-valley value of electricity price and the off-peak time electricity price; a full-power charging reference line is set based on the adjustment coefficient of the peak-valley price difference, which is expressed by a formula as follows:

[0088]

[0089] CR b = 1 + 3 x (400 x (PR P,V - 70 x PR 2 ) ) ; P,V -1 ;

[0090] wherein CR b represents the full-power charging reference line; PR P,V represents the adjustment coefficient of the peak-valley price difference; PR PEAK represents the peak value of electricity price; PR VALLEY represents the valley value of electricity price; and PR NORM represents the off-peak time electricity price.

[0091] The relationship between the current charging weight and the full-power charging reference line is determined to obtain the energy storage output at the current time, specifically: if CR i ≥ CR b , full-power charging is performed, and the energy storage output at the current time is the energy storage output constraint in the charging mode, which is expressed as P Si = -P CR,Limit .

[0092] Otherwise, the proportion of the current charging weight and the full-power charging reference line is calculated to obtain the charging proportion at the current time; the negative form of the minimum value between the product of the energy storage output constraint in the charging mode and the charging proportion at the current time and the maximum value of the power surplus / deficit at the current time is selected as the energy storage output at the current time, which is expressed by a formula as follows: P Si = -min{max{(CR i / CR b ) x P S,max , P SPi}, P CR,Limit}.

[0093] When the energy storage enters the second charging mode, the negative form of the minimum value between the product of the current charging weight and the power surplus / deficit and the energy storage output constraint in the charging mode is selected as the energy storage output at the current time, which is expressed as P Si = -min{CR i x P​RLi ,P CR,Limit};

[0094] When the energy storage enters the discharging mode, the minimum value of the product of the discharging weight of the current moment and the negative power surplus and the energy storage output constraint of the discharging mode is selected as the energy storage output of the current moment, which is expressed as P Si =min{DCR i ×(-P RLi ),P DCR,Limit};

[0095] S7, based on the energy storage output, the energy storage of the source network load storage integrated project is regulated, and the running state of the energy storage and the corresponding energy storage output are dynamically adjusted according to the real-time acquired related data;

[0096] S8, in the embodiment, the maximum load of the source network load storage integrated project is 100MW; the ratio of new energy installed capacity to load capacity is 1.8:1, wherein the ratio of wind power installed capacity to photovoltaic installed capacity is 3:1, that is, the wind power installed capacity is 135MW and the photovoltaic installed capacity is 45MW; the initial energy storage capacity is 0MWh, the energy storage conversion efficiency is 85%, the energy storage configuration ratio is 20%, the preset energy storage configuration time is 4h, the maximum energy storage capacity is 144MWh; the point-by-point data time interval is 1h; the typical day time-of-use electricity price data is shown in Table 1;

[0097] Table 1 typical day time-of-use electricity price data

[0098]

[0099]

[0100] Please refer to Figure 3 , from 5:00 to 8:00 and from 20:00 to 23:00 of the typical day, the wind power output and the photovoltaic output are higher than the power load, so the energy storage enters the charging mode; from 13:00 to 15:00, because the electricity price at this time is lower than the normal time electricity price and the charging and discharging weight meets the condition, in addition to meeting the power load demand, additional power purchase is carried out for energy storage charging;

[0101] When the total new energy output is less than the load from 10:00 to 13:00, the energy storage capacity has been discharged, and the remaining part is supplemented by additional power purchase, wherein the additional power purchase is the power purchase power of the source network load storage integrated project from the power grid, which is expressed by the formula as P buy =-min(P WINDi +P SOLARi +P Si -P Li ,0), wherein P buyrepresents the power purchase; the hourly power control condition of the typical day is shown in Table 2, wherein the positive energy storage power represents discharging, and the negative energy storage power represents charging;

[0102] Table 2 Hourly power control condition of a typical day

[0103]

[0104]

[0105] Based on the energy storage control strategy and the traditional energy storage control strategy, the source-grid-load integrated project is simulated for 8760 hours in a year, wherein the traditional energy storage control strategy is specifically charging when there is a power surplus, and discharging when there is a power gap; and the charging and discharging power is determined by the surplus and the gap.

[0106] Under the traditional energy storage control strategy, the simulation calculation result of 8760 hours in a year is specifically: the new energy curtailment rate is 8.75%, the project external power purchase proportion is 48.85%, and the project external power purchase price is 10943.61 million yuan;

[0107] Under the energy storage control strategy, the simulation calculation result of 8760 hours in a year is specifically: the new energy curtailment rate is 8.97%, the project external power purchase proportion is 49.69%, and the project external power purchase price is 10014.56 million yuan;

[0108] The new energy curtailment rate is APR represents the curtailment rate;

[0109] The project external power purchase proportion is SNP represents the project external power purchase proportion;

[0110] The project external power purchase price is SP represents the project external power purchase proportion;

[0111] Please refer to Figure 4 Based on the above calculation result, it can be obtained that, by using the energy storage control strategy proposed in the application, the curtailment rate and the grid supply rate are improved to a certain extent, but the external power purchase cost after the regulation and control of the energy storage control strategy of the application is reduced, and the cost optimization rate is 8.49% compared with the traditional strategy, so the energy storage control strategy proposed in the application has better adaptability to the time-of-use electricity price;

[0112] In the embodiment, the preset time period is set to 24 hours, the point-by-point interval is 1 hour, and the energy storage configuration time is 4 hours; the related data of the 6th time point is selected, at this time, P Li = 88.94 MW, P WINDi = 103.06 MW, P SOLARi = -0.07 MW, and PR i= 0.2829 yuan / kWh, P S,max = 36 MW, PR NORM = 0.2829 yuan / kWh; C max = 144 MWh, C0= 0 MWh;

[0113] Calculate the charging weight

[0114] Calculate the power profit and loss P RLi = P WINDi + P SOLARi - P Li = 103.06 - 0.07 - 88.94 = 14.05 MW;

[0115] Calculate the surplus output P SPi = min{max{P RLi , 0}, P S,max} = min(14.05, 36) = 14.05 MW, At this time The discharge weight is 1;

[0116] The time-of-use electricity price at the current time is equal to the flat time electricity price. According to the power profit and loss at the current time, which is 14.05 MW > 0, it indicates that the power is in a surplus state, and then it indicates that the energy storage enters the second charging mode;

[0117] Calculate the energy storage capacity at the current time

[0118] Calculate the energy storage output constraint of the charging mode at the current time

[0119] When the energy storage enters the second charging mode, the energy storage output at the current time is represented as P Si = -min{CR i × P RLi , P CR,Limit} = -min{1 × 14.05, 36} = -14.05 MW;

[0120] In another embodiment, the preset period is set to 24 hours, the point-by-point interval is 1 hour, and the energy storage configuration duration is 4 hours. The relevant data at the 14th time is selected, at which time P Li = 91.89 MW, P WINDi = 0 MW, P SOLARi = 37.17 MW, PR i = 0.1358 yuan / kWh, P S,max = 36 MW, PR NORM = 0.2829 yuan / kWh; C max= 144 MWh, C0= 0 MWh;

[0121] Calculate the charging weight

[0122] Calculate the power profit and loss P RLi = P WINDi + P SOLARi - P Li = 0 + 37.17 - 91.89 = -54.72 MW;

[0123] Calculate the surplus output P SPi = min{max{P RLi , 0}, P S,max} = min(0, 36) = 0 MW, At this time The discharge weight is

[0124] The time-of-use price at the current time is less than the flat time price, the charging weight is greater than 1 and the discharge weight is less than 1, which indicates that the energy storage enters the first charging mode;

[0125] Calculate the energy storage capacity at the current time

[0126] Calculate the energy storage output constraint of the charging mode at the current time

[0127] When the energy storage enters the first charging mode, the adjustment coefficient of the peak-valley price difference is calculated by the peak-valley value price and the flat time price

[0128]

[0129] Set the full-power charging reference line as CR b = 1 + 3 x (400 x (PR P,V ) 2 - 70 x PR P,V ) -1 = 1 + 3 x (576 - 84) -1 ≈ 1.006;

[0130] Determine the relationship between the current charging weight and the full-power charging reference line. If the charging weight is greater than the full-power charging reference line, full-power charging is performed, and the energy storage output at the current time is P Si = - P CR,Limit = - 36 MW;

[0131] In another embodiment, the preset period is set to 24 hours, the point-by-point interval is 1 hour, and the energy storage configuration duration is 4 hours. The relevant data at the 10th time is selected, at which time P Li= 89.80 MW, P WINDi = 0.22 MW, P SOLARi = 22.12 MW, PR i = 0.1358 yuan / kWh, P S,max = 36 MW, PR NORM = 0.2829 yuan / kWh; C max = 144 MWh, C0= 0 MWh;

[0132] Calculate the charging weight

[0133] Calculate the power profit and loss P RLi = P WINDi + P SOLARi - P Li = 0.22 + 22.12 - 89.80 = -67.46 MW;

[0134] Calculate the surplus output P SPi = min{max{P RLi , 0}, P S,max} = min((-67.46, 0), 36) = 0 MW, At this time The discharge weight is

[0135] The time-of-use price at the current time is less than the time-of-use price at the flat time, but the charging weight is not greater than 1, the power profit and loss at the current time is -67.46 MW, which indicates that the energy storage enters the discharge mode;

[0136] Calculate the energy storage capacity at the current time

[0137] Calculate the energy storage output constraint of the discharge mode at the current time

[0138] When the energy storage enters the discharge mode, the energy storage output at the current time is represented as P Si = min{DCR i × (-P RLi ), P DCR,Limit} = min(0.5 × 67.46, 0) = 0 MW.

[0139] Embodiment 2:

[0140] The embodiment provides a source-grid-load-energy storage integrated project energy storage control system based on a time-of-use price, and the system comprises a data acquisition module, a calculation energy storage output module and a regulation and control module, wherein:

[0141] The data acquisition module is configured to acquire characteristic parameters of the energy storage, including maximum energy storage capacity, energy storage conversion efficiency, energy storage configuration duration, and initial energy storage power; and acquire relevant data of the source-grid-load-storage integrated project in a preset time period according to the preset energy storage configuration duration, including new energy output, power load data, and time-of-use electricity price data.

[0142] The calculation energy storage output module is configured to calculate a charging weight based on the time-of-use electricity price data, and set a discharging weight based on surplus output of the source-grid-load-storage integrated project; obtain a running state of the current energy storage by combining the time-of-use electricity price data, power profit and loss, and the charging and discharging weights, wherein the power profit and loss is a difference between the new energy output and the power load; and obtain the energy storage output in the corresponding running state based on the running state of the current energy storage and the set energy storage output constraint.

[0143] The regulation module is configured to regulate the energy storage of the source-grid-load-storage integrated project based on the energy storage output, and dynamically adjust the running state of the energy storage and the corresponding energy storage output according to the real-time acquired relevant data.

[0144] Embodiment 3

[0145] The embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method for controlling energy storage of a source-grid-load-storage integrated project based on time-of-use electricity prices according to any embodiment of the present application.

[0146] Embodiment 4

[0147] The embodiment provides a computer readable storage medium, which stores a computer program, and the program is executable on a processor to implement the method for controlling energy storage of a source-grid-load-storage integrated project based on time-of-use electricity prices according to any embodiment of the present application.

[0148] It is worth noting that the system, electronic device and computer readable storage medium of the present application are all based on the same principle as the method of embodiment 1, and will not be repeated here.

[0149] The above is only an embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent process transformation according to the content of the specification and drawings, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A source-grid-load-storage integrated project energy storage control method based on time-of-use electricity price, characterized in that, The method comprises: obtaining characteristic parameters of energy storage, including maximum energy storage capacity, energy storage conversion efficiency, energy storage configuration duration and initial energy storage power; obtaining relevant data of the source-grid-load-storage integrated project within a preset time period according to a preset energy storage configuration duration, including new energy output, power load data and time-of-use electricity price data; calculating a charging weight based on the time-of-use electricity price data, setting a discharging weight based on surplus output of the source-grid-load-storage integrated project; obtaining a current energy storage operating state by combining the time-of-use electricity price data, power profit and loss and the charging and discharging weights, wherein the power profit and loss is the difference between the new energy output and the power load; obtaining the energy storage output under the corresponding operating state based on the current energy storage operating state and the set energy storage output constraint; controlling the energy storage of the source-grid-load-storage integrated project based on the energy storage output, and dynamically adjusting the operating state of the energy storage and the corresponding energy storage output according to the real-time obtained relevant data.

2. The source-grid-load-storage integrated project storage control method based on time-of-use electricity price according to claim 1, characterized in that, The charging weight is calculated based on the time-of-use electricity price, specifically: by comparing the size relationship between N+1 times the reciprocal of the time-of-use electricity price at each moment and the cumulative value of the reciprocal of the time-of-use electricity price at all moments and 1, the charging weight at each moment is obtained. 3.The source-grid-load-storage integrated project storage control method based on time-of-use electricity price of claim 1, wherein, The discharging weight is set based on the surplus output of the source-grid-load-storage integrated project, specifically: the difference between the new energy output and the power load at the current moment is calculated to obtain the power profit and loss at the current moment; the minimum value between the power profit and loss at the current moment and the maximum energy storage output is selected to obtain the surplus output of the source-grid-load-storage integrated project at the current moment; the size relationship between the surplus output at all moments and the maximum energy storage output is determined to obtain the corresponding discharging weight at the current moment.

4. The source-grid-load-storage integrated project storage control method based on time-of-use electricity price according to claim 1, characterized in that, The current energy storage operating state is obtained by combining the time-of-use electricity price, the power profit and loss and the charging and discharging weights, specifically: if the time-of-use electricity price at the current moment is less than the average time-of-use electricity price, the charging weight is greater than 1 and the discharging weight is less than 1, it is determined that the energy storage enters a first charging mode; otherwise, the energy storage operating state is determined according to the power profit and loss at the current moment; further, if the power profit and loss at the current moment is a surplus state, the energy storage enters a second charging mode; otherwise, it is determined that the energy storage enters a discharging mode.

5. The source-grid-load-storage integrated project energy storage control method based on time-of-use electricity price according to claim 4, characterized in that, The energy storage output under the corresponding operating state is obtained based on the current energy storage operating state and the set energy storage output constraint, specifically: the energy storage power at the current moment is calculated based on the initial energy storage power and the energy storage output at the current moment; the energy storage output constraint at the current moment is set based on the maximum energy storage capacity and the energy storage power at the current moment, including the energy storage output constraint in the charging mode and the energy storage output constraint in the discharging mode; when the energy storage enters the first charging mode, the peak-valley value electricity price is obtained, the adjustment coefficient of the peak-valley price difference is calculated through the peak-valley value electricity price and the average time-of-use electricity price; the full-power charging reference line is set based on the adjustment coefficient of the peak-valley price difference; the relationship between the charging weight at the current moment and the full-power charging reference line is determined, and the energy storage output at the current moment is obtained according to the energy storage output constraint in the charging mode; when the energy storage enters the second charging mode, the energy storage output at the current moment is calculated according to the charging weight at the current moment, the power profit and loss and the energy storage output constraint in the charging mode; When the energy storage enters the discharging mode, the energy storage output at the current moment is calculated according to the discharging weight at the current moment, the power profit and loss, and the energy storage output constraint of the discharging mode.

6. A time-of-use electricity price-based source-grid-load-storage integrated project energy storage control system, characterized in that, The system comprises a data acquisition module, a calculation energy storage output module, and a regulation module, wherein: The data acquisition module is configured to acquire characteristic parameters of the energy storage, including maximum energy storage capacity, energy storage conversion efficiency, energy storage configuration duration, and initial energy storage power; acquire relevant data of the source-grid-load-storage integrated project within a preset time period according to the preset energy storage configuration duration, including new energy output, power load data, and time-of-use electricity price data; The calculation energy storage output module is configured to calculate a charging weight based on the time-of-use electricity price data, set a discharging weight based on surplus output of the source-grid-load-storage integrated project; obtain a running state of the current energy storage in combination with the time-of-use electricity price data, power profit and loss, and charging and discharging weights, wherein the power profit and loss is a difference between the new energy output and the power load; obtain the energy storage output under the corresponding running state based on the running state of the current energy storage and the set energy storage output constraint; The regulation module is configured to regulate the energy storage of the source-grid-load-storage integrated project based on the energy storage output, and dynamically adjust the running state of the energy storage and the corresponding energy storage output according to the real-time acquired relevant data.

7. The source-grid-load-storage integrated project energy storage control system based on time-of-use electricity price according to claim 6, characterized in that, The charging weight is calculated based on the time-of-use electricity price data, and the discharging weight is set based on the surplus output of the source-grid-load-storage integrated project, specifically as follows: The charging weight is calculated by comparing the reciprocal of N+1 times the time-of-use electricity price at each moment and the cumulative value of the reciprocal of the time-of-use electricity price at all moments with 1, to obtain the charging weight at each moment; The discharging weight is calculated by calculating the difference between the new energy output and the power load at the current moment to obtain the power profit and loss at the current moment; selecting the minimum value between the power profit and loss at the current moment and the maximum energy storage output to obtain the surplus output of the source-grid-load-storage integrated project at the current moment; The size relationship between the surplus output at all moments and the maximum energy storage output is determined to obtain the discharging weight corresponding to the current moment. 8.The source-grid-load-storage integrated project storage control system based on time-of-use electricity price according to claim 7, characterized in that, The running state of the current energy storage is obtained in combination with the time-of-use electricity price data, power profit and loss, and charging and discharging weights, specifically as follows: The energy storage power at the current moment is calculated based on the initial energy storage power and the energy storage output at the current moment; The energy storage output constraint at the current moment is set based on the maximum energy storage capacity and the energy storage power at the current moment, including the energy storage output constraint in the charging mode and the energy storage output constraint in the discharging mode; When the energy storage enters the first charging mode, the peak-valley value electricity price is acquired, the adjustment coefficient of the peak-valley price difference is calculated through the peak-valley value electricity price and the ordinary moment electricity price; the full-power charging reference line is set based on the adjustment coefficient of the peak-valley price difference; The relationship between the charging weight at the current moment and the full-power charging reference line, and the energy storage output constraint in the charging mode are determined to obtain the energy storage output at the current moment; When the energy storage enters the second charging mode, the energy storage output at the current moment is calculated according to the charging weight at the current moment, the power profit and loss, and the energy storage output constraint in the charging mode; When the energy storage enters the discharging mode, the energy storage output at the current moment is calculated according to the discharging weight at the current moment, the power profit and loss, and the energy storage output constraint of the discharging mode.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the source-grid-load-storage integrated project storage energy control method based on time-of-use electricity price according to the program.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The processor implements the source-grid-load-storage integrated project storage energy control method based on time-of-use electricity price according to the program.

Citation Information

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