A method and system for coordinated configuration of wind, solar and energy storage in the scenario of local consumption of new energy
By simultaneously calculating the proportion of self-generated and self-consumed new energy in power generation, the amount of electricity used for self-generated and self-consumed, and the proportion of electricity fed into the grid, and combining multi-level iteration and binary search, the accuracy and coordination issues of wind, solar and energy storage configuration in new energy local consumption projects are solved, adapting to the needs of multiple scenarios and simplifying the configuration process of small and medium-sized projects.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANDONG ELECTRIC POWER ENG CONSULTING INST CORP
- Filing Date
- 2026-05-20
- Publication Date
- 2026-07-31
AI Technical Summary
In projects where new energy is consumed locally, existing wind, solar and energy storage configuration methods suffer from insufficient accuracy, lack of coordination, poor adaptability to different scenarios, and lack of practicality, making them difficult to promote and apply in small and medium-sized projects.
The system employs three core indicators: self-consumption of new energy sources in total power generation, self-consumption of electricity, and the proportion of electricity fed into the grid. Through multi-level iteration and binary search, the capacity search range is narrowed down, and a suitable combination of wind, solar, and energy storage capacity is selected.
It improves configuration accuracy, enhances the synergy between wind, solar and energy storage, adapts to the needs of multiple scenarios, simplifies the configuration process, reduces the difficulty of data acquisition, and is suitable for small and medium-sized projects.
Smart Images
Figure CN122495477A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of wind, solar and energy storage configuration technology, and in particular relates to a method and system for coordinated configuration of wind, solar and energy storage in the scenario of local consumption of new energy. Background Technology
[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.
[0003] Currently, there are still many practical pain points in the configuration of wind, solar and energy storage capacity for new energy projects that require local consumption, and there is a gap between these and the core needs of local consumption and improved green electricity quality.
[0004] Currently, the calculation of wind, solar, and energy storage capacity configurations mainly faces the following problems: The accuracy of configuration is insufficient. Traditional configuration methods are mostly based on empirical formulas or single objectives (such as only considering the absorption rate or cost), without fully taking into account the actual situation of the project, the characteristics of wind and solar power output, local load demand, grid access conditions, etc., which leads to some projects being "over-configured" or "under-configured". Insufficient coordination, the configuration of wind, solar and energy storage is disconnected from each other, and the coordination and control mechanism of the three is not fully considered, resulting in the energy storage system's regulation potential not being fully utilized, and the stability and continuity of green electricity being difficult to guarantee; Scene adaptability still needs to be improved. Existing research mostly focuses on single scenes, with little research on configuration for multi-scene integration, making it difficult to adapt to the needs of complex scenes. The practicality of configuration methods needs to be improved. Some intelligent configuration models (such as AI-based and digital twin-based models) rely on a large amount of high-quality data, which is difficult to obtain and the models are complex, making it difficult to promote and apply them in small and medium-sized projects. At the same time, the synergy between rapid configuration and accurate configuration still needs to be optimized. Summary of the Invention
[0005] To address the technical problems mentioned above, this invention provides a method and system for the coordinated configuration of wind, solar, and energy storage in scenarios where new energy is consumed locally. It simultaneously calculates three core indicators: the proportion of new energy generated by self-consumption to total power generation, the amount of electricity used for self-consumption, and the proportion of electricity fed into the grid. It rigorously verifies each constraint layer by layer, enabling the selection of all compliant wind, solar, and energy storage capacity combinations. Furthermore, through multi-layer iteration and binary search, it significantly narrows the capacity search range and reduces the number of calculations for invalid combinations, providing a basis for capacity configuration in projects where new energy is consumed locally.
[0006] To achieve the above objectives, the present invention adopts the following technical solution: The first aspect of this invention provides a method for the coordinated configuration of wind, solar, and energy storage in a scenario of local consumption of new energy sources, comprising: Initialize the wind power count, photovoltaic count, and energy storage count, and set the upper limit for the number of energy storage cycles; Based on wind power counts, photovoltaic counts, and energy storage counts, the current wind power capacity, current photovoltaic capacity, and current energy storage capacity are calculated. Through energy storage operation strategies, the proportion of self-generated and self-consumed electricity from new energy sources to the total available power generation, the proportion of self-generated and self-consumed electricity from new energy sources to the total electricity consumption, and the proportion of grid-connected electricity to self-generated and self-consumed electricity from new energy sources are calculated. If all three ratios meet the requirements, record the current wind power capacity and the current photovoltaic capacity, and record a certain amount of energy storage capacity in combination with the upper limit of the energy storage traversal; otherwise, update the wind power count, photovoltaic count, energy storage count and the upper limit of the energy storage traversal, and return to recalculate the three ratios in order to carry out the three-layer cyclic binary search iterative traversal of energy storage capacity, photovoltaic capacity and wind power capacity in turn.
[0007] Furthermore, the upper limit for updating wind power counts, photovoltaic counts, energy storage counts, and energy storage traversal counts includes: Step (305-1): If all three ratios meet the requirements, proceed to step (306-1). Step (305-2): If at least one of the three ratios fails to meet the requirements, and if the wind power count... , If the number of iterations for the energy storage capacity is given, then jump to step (306-2); if at least one of the three ratios does not meet the requirements, and if ,but , The new upper limit for the number of energy storage cycles will be increased. As the upper limit of the number of energy storage cycles The lower limit of the new energy storage traversal quantity will be set. As a lower limit for the number of energy storage cycles , The new energy storage count k new As energy storage counting k Return to recalculate the three ratios; Step (306-1): If If so, proceed to step (306-2); ,but , ,Will As ,Will As , ,Will k new As a new k Return to recalculate the three ratios; Step (306-2): If photovoltaic counting , If the number of photovoltaic capacity iterations is specified, then proceed to step (306-3); if ,but ,Will s new As s Return to iterate through the energy storage capacity and recalculate the three ratios; Step (306-3): If wind power count , Given the number of wind power capacity iterations, record the current wind power capacity, current photovoltaic capacity, and a certain amount of energy storage capacity; if ,but ,Will r new As r Return to iterate through the photovoltaic capacity and recalculate the three ratios.
[0008] Furthermore, the proportion of the annual self-generated and self-consumed electricity from the new energy source to the total available power generation is: ;in, time_slot This represents the total number of time periods within a day. This refers to the amount of electricity directly utilized by new energy power generation in each time period. To store the discharge amount at each time period, For the first The first day The output of new energy sources during each period.
[0009] Furthermore, the proportion of self-generated and self-consumed electricity from the aforementioned new energy sources to the total electricity consumption is: ;in, time_slot This represents the total number of time periods within a day. This refers to the amount of electricity directly utilized by new energy power generation in each time period. To store the discharge amount at each time period, For the first The first day User load during a given time period.
[0010] Furthermore, the proportion of the electricity generated and supplied to the grid to the annual self-generated and self-consumed electricity from new energy sources is as follows: ;in, time_slot This represents the total number of time periods within a day. For the first The first day New energy output during each period This represents the amount of electricity wasted by the user in each time period.
[0011] Furthermore, the energy storage operation strategy is as follows: if the output of new energy power generation is greater than the user load, then the energy storage is charged; otherwise, the energy storage is discharged.
[0012] Furthermore, the energy storage operation strategy is as follows: when the cost per kilowatt-hour of green electricity is greater than or equal to the grid electricity purchase price, the energy storage is charged; otherwise, the energy storage is discharged. Alternatively, the energy storage operation strategy can be: manually setting the daily charging and discharging periods for the energy storage.
[0013] A second aspect of the present invention provides a wind-solar-storage coordinated configuration system for local consumption of new energy sources, comprising: The initialization module is configured to initialize wind power count, photovoltaic count, and energy storage count, and set the upper limit of the number of energy storage cycles. The configuration calculation module is configured to: calculate the current wind power capacity, current photovoltaic capacity and current energy storage capacity based on wind power count, photovoltaic count and energy storage count; and calculate the proportion of annual self-generated and self-consumed electricity from new energy sources to total available power generation, the proportion of annual self-generated and self-consumed electricity from new energy sources to total electricity consumption and the proportion of grid-connected electricity to annual self-generated and self-consumed electricity from new energy sources through energy storage operation strategies. The update module is configured to: if all three ratios meet the requirements, record the current wind power capacity and the current photovoltaic capacity, and record a certain amount of energy storage capacity in combination with the upper limit of the energy storage traversal; otherwise, update the wind power count, photovoltaic count, energy storage count and the upper limit of the energy storage traversal, and return to recalculate the three ratios in order to carry out the three-layer cyclic binary search iteration traversal of energy storage capacity, photovoltaic capacity and wind power capacity in turn.
[0014] A third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the wind-solar-storage coordinated configuration method in a scenario of local consumption of new energy as described above.
[0015] A fourth aspect of the present invention provides a computer device, including a computer-readable storage medium, a processor, and a computer program stored on the computer-readable storage medium and executable on the processor, wherein the processor executes the program to implement the steps in the wind-solar-storage coordinated configuration method for a new energy local consumption scenario as described above.
[0016] Compared with the prior art, the beneficial effects of the present invention are: This invention simultaneously calculates three core indicators: the proportion of new energy self-consumption in power generation, the amount of electricity used for self-consumption, and the proportion of electricity fed into the grid. It also strictly verifies the constraints layer by layer, which can screen out all wind, solar and storage capacity combinations that meet the requirements. Furthermore, through multi-layer iteration and binary search, it significantly narrows the capacity search range and reduces the number of calculations for invalid combinations, providing a basis for capacity configuration for new energy local consumption projects. Attached Figure Description
[0017] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.
[0018] Figure 1 This is a flowchart of a wind-solar-storage coordinated configuration method in a scenario of local consumption of new energy, according to Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the structure of a computer device according to Embodiment 4 of the present invention. Detailed Implementation
[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.
[0020] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.
[0021] Example 1 This embodiment provides a method for the coordinated configuration of wind, solar and energy storage in the scenario of local consumption of new energy.
[0022] This embodiment provides a method for the coordinated configuration of wind, solar, and energy storage in a scenario of local consumption of new energy sources. The method includes: First, based on policy requirements and user load, quickly selecting the initial configuration capacity range for wind and solar power. It should be noted that not all wind-solar capacity combinations within this range meet the final requirements; this step is only to narrow down the possible combinations and eliminate absolutely impossible combinations. Second, based on common real-world scenarios, three energy storage optimization operation strategies applicable to different scenarios are proposed. Finally, binary search is used to quickly calculate the wind, solar, and energy storage capacities that meet the relevant constraints.
[0023] This embodiment provides a method for the coordinated configuration of wind, solar, and energy storage in a scenario of local consumption of new energy sources, including: Step 1: A method for rapidly narrowing down the possible configuration space of wind power and photovoltaic capacity.
[0024] Step 101: Based on the requirements and user load, quickly filter out the preliminary configuration capacity range for wind and solar power.
[0025] According to the requirements, the key indicators for new energy local consumption projects include the following three: the proportion of annual self-generated and self-consumed electricity from new energy to total available power generation. The proportion of self-generated and self-consumed electricity from new energy sources to total electricity consumption The proportion of electricity generated by grid connection to total available power generation .
[0026] Assume user load is , No. Heavenly User load for each time period is The unit megawatt wind power output data at the project construction site is: , of which Heavenly The wind power output for each time period is The photovoltaic output data per megawatt is... , of which Heavenly Photovoltaic output for each time period is ;in , This indicates that a day is divided into equal parts. Each time period.
[0027] Set the traversal range of wind power capacity Step size is The number of traversals of wind power capacity is ; Traversal range of photovoltaic capacity Step size is The number of times the photovoltaic capacity is traversed is : (1); (2).
[0028] Step 102: Calculation method of the first type of wind and solar capacity combination table.
[0029] (1) Traverse the wind power capacity, and for each wind power capacity traversed, further traverse each photovoltaic capacity, that is, when traversing the th... wind power capacity Then, each photovoltaic capacity is further traversed from smallest to largest. (2) If the first Photovoltaic capacity If equation (5) can be satisfied under this wind power and photovoltaic capacity, then stop traversing the photovoltaic capacity, record this combination of wind power and photovoltaic capacity, and start traversing the next wind power capacity.
[0030] Here, the combination of wind power and photovoltaic capacity represents the minimum photovoltaic capacity that can satisfy equation (5) under this wind power capacity.
[0031] (3); (4); in, , .
[0032] (3) When traversing the th wind power capacity When further traversing the photovoltaic capacity, if none of the photovoltaic capacities can satisfy equation (5), then start traversing the next wind power capacity.
[0033] (4) After the above traversal, a wind and solar capacity combination table is formed. , for An array of 2 rows and 2 columns, each row representing a combination of wind and solar capacity configurations that satisfies equation (5); Indicates the first The first combination One capacity, of which , ; This indicates that the wind power capacity is When the minimum photovoltaic capacity that satisfies equation (5) is reached.
[0034] Step 103: Calculation method for the second type of wind and solar capacity combination table.
[0035] (1) Traverse the photovoltaic capacity, and for each photovoltaic capacity traversed, further traverse each wind power capacity, that is, when traversing the th... Photovoltaic capacity Then, iterate through each wind power capacity from smallest to largest; (2) If the first wind power capacity If equation (5) can be satisfied under this photovoltaic and wind power capacity, then stop traversing the wind power capacity, record this combination of photovoltaic and wind power capacity, and start traversing the next photovoltaic capacity.
[0036] This combination of photovoltaic and wind power capacity represents the minimum wind power capacity that can satisfy equation (5) under this photovoltaic capacity.
[0037] (5); in, , .
[0038] (3) When traversing the first Photovoltaic capacity When further traversing the wind power capacity, if none of the wind power capacities can satisfy equation (5), then start traversing the next photovoltaic capacity.
[0039] (4) After the above traversal, a wind and solar capacity combination table is formed. , for An array of 2 rows and 2 columns, each row representing a combination of wind and solar capacity configurations that satisfies equation (5); Indicates the first The first combination One capacity, of which , ; This indicates that the photovoltaic capacity is When the minimum wind power capacity that satisfies equation (5) is reached.
[0040] Step 2: Construct three energy storage operation strategies suitable for different application scenarios.
[0041] In scenarios where new energy is consumed locally, users' electricity comes from three sources: direct use of new energy power generation, energy storage discharge, and grid power.
[0042] Assume the wind power construction capacity is The installed capacity of photovoltaic power is Energy storage capacity is Energy storage ratio Energy storage charging efficiency is The energy storage discharge efficiency is The depth of energy storage charge and discharge is Then the output of new energy As shown in equation (6): (6); Let the charging amount of the energy storage in each time period be... The discharge capacity of the energy storage in each time period is The initial energy storage capacity for each time period is The final amount of energy stored in each time period is The amount of electricity directly utilized by new energy power generation in each time period is The user's electricity consumption per time period is The user's wasted electricity (electricity used for internet access) for each time period is: Considering that some regions do not allow surplus electricity from renewable energy projects to be fed into the grid locally, this is referred to here as abandoned electricity; among which, Indicates the first The first day Each period, .
[0043] The initial energy storage capacity for the first period of the first day is , ;No. The initial energy storage capacity for the first period of the day is ;No. The first day The starting energy capacity for energy storage in each time period is ;in, Indicates the first The first day Each period, .
[0044] It should be noted that, according to the requirements, when formulating an energy storage operation strategy, energy storage charging should only charge green electricity and not grid electricity.
[0045] (1) First type: If the output of new energy power generation is greater than the user load, then the energy storage is charged; otherwise, the energy storage is discharged. This strategy is suitable for increasing the proportion of new energy self-generated and self-consumed electricity to the total available power generation.
[0046] (101) If the first The first day New energy output during each period Greater than or equal to the The first day User load during a given time period Then, the energy storage charging and energy storage operation strategies are shown in equations (7), (8) and (9): (7); (8); (9); Electricity directly utilized by new energy power generation in each time period User's wasted electricity in each time period Electricity consumption per user during each time period As shown in equations (10), (11), and (12): (10); (11); (12); (102) If the first The first day New energy output during each period Less than the The first day User load during a given time period Then, the energy storage discharge, and the energy storage operation strategy are shown in equations (13), (14) and (15): (13); (14); (15); Electricity directly utilized by new energy power generation in each time period User's wasted electricity in each time period Electricity consumption per user during each time period As shown in equations (16), (17), and (18): (16); (17); (18).
[0047] (2) The second type: when the cost per kilowatt-hour of green electricity is greater than or equal to the grid electricity purchase price, the energy storage is charged; otherwise, the energy storage is discharged. This strategy is suitable for reducing the user's electricity cost.
[0048] With wind power construction capacity of Photovoltaic construction capacity is Energy storage construction capacity is Under these conditions, the cost per kilowatt-hour of green electricity is Let the first Heavenly The grid electricity purchase price for each time period is .
[0049] (201) If the first The first day Cost per kilowatt-hour of green electricity in a given time period Greater than or equal to the The first day The grid electricity purchase price for each time period Then, the energy storage charging and energy storage operation strategies are shown in equations (19), (20), and (21): (19); (20); (twenty one); Electricity directly utilized by new energy power generation in each time period User's wasted electricity in each time period Electricity consumption per user during each time period As shown in equations (22), (23), and (24): (twenty two); (twenty three); (twenty four); (202) If the first The first day Cost per kilowatt-hour of green electricity in a given time period Less than the The first day The grid electricity purchase price for each time period Furthermore, if the first The first day New energy output during each period Less than user load Then, the energy storage discharge and the energy storage operation strategy are shown in equations (25), (26) and (27): (25); (26); (27); Electricity directly utilized by new energy power generation in each time period User's wasted electricity in each time period Electricity consumption per user during each time period As shown in equations (28), (29), and (30): (28); (29); (30); (203) If the first The first day Cost per kilowatt-hour of green electricity in a given time period Less than the The first day The grid electricity purchase price for each time period Furthermore, if the first The first day New energy output during each period Greater than or equal to user load If the energy storage neither charges nor discharges, the energy storage operation strategy is as shown in equations (31), (32), and (33): (31); (32); (33); Electricity directly utilized by new energy power generation in each time period User's wasted electricity in each time period Electricity consumption per user during each time period As shown in equations (34), (35), and (36): (34); (35); (36).
[0050] (3) The third type: artificially set the daily charging and discharging time of energy storage. This strategy is suitable for rapid feasibility assessment in the early stage of a project.
[0051] 1 line Column flag array This indicates the charging and discharging status of energy storage for each manually set time period. This indicates that energy storage is being charged during this period. This indicates that the stored energy is discharging during this period. This indicates that the energy storage system neither charges nor discharges during this period; among them, .
[0052] (301) During this period, the energy storage is charged, and the energy storage operation strategy is shown in equations (37), (38), and (39): (37); (38); (39); Electricity directly utilized by new energy power generation in each time period User's wasted electricity in each time period Electricity consumption per user during each time period As shown in equations (40), (41), and (42): (40); (41); (42); (302) At that time, if the first The first day New energy output during each period Less than the The first day User load during a given time period Then, the energy storage discharge and energy storage operation strategies are shown in equations (43), (44), and (45): (43); (44); (45); Electricity directly utilized by new energy power generation in each time period User's wasted electricity in each time period Electricity consumption per user during each time period As shown in equations (46), (47), and (48): (46); (47); (48); (303) At that time, if the first The first day New energy output during each period Greater than or equal to the The first day User load during a given time period If the energy storage neither charges nor discharges, the energy storage operation strategy is as shown in equations (49), (50), and (51): (49); (50); (51); Electricity directly utilized by new energy power generation in each time period User's wasted electricity in each time period Electricity consumption per user during each time period As shown in equations (52), (53), and (54): (52); (53); (54); (304) During this period, the energy storage neither charges nor discharges, and the energy storage operation strategy is shown in equations (55), (56), and (57): (55); (56); (57); Electricity directly utilized by new energy power generation in each time period User's wasted electricity in each time period Electricity consumption per user during each time period As shown in equations (58), (59), and (60): (58); (59); (60).
[0053] Step 3: Rapid calculation of wind-solar-storage capacity configuration based on multi-level iteration and binary search, such as... Figure 1 As shown, the specific steps are as follows: A method for rapidly narrowing down the possible configuration space of wind and solar power capacity involves forming a wind and solar capacity combination table. and ,by Let's take an example to calculate.
[0054] The traversal range of wind power capacity was reconfigured according to user requirements. Step size is The number of traversals of wind power capacity is ; Traversal range of photovoltaic capacity Step size is The number of times the photovoltaic capacity is traversed is ; Traversal range of energy storage capacity Step size is The number of iterations for energy storage capacity is : (61); (62); (63).
[0055] Step 300: Initialization: Wind Power Count Photovoltaic counting Energy storage counting The maximum number of energy storage traversals is The minimum number of energy storage cycles is .
[0056] Step 301: Perform the iteration of the first layer of wind capacitance. .
[0057] Step 302: Perform the iteration of the second-layer photovoltaic capacity. .
[0058] Step 303: Perform iteration of the third-layer energy storage capacity. .
[0059] Step 304: Select any energy storage operation strategy and calculate the current wind power capacity. Photovoltaic capacity Energy storage capacity As shown in equations (64), (65), and (66), the proportion of self-generated and self-consumed electricity from new energy sources to the total available power generation is as follows: The proportion of self-generated and self-consumed electricity from new energy sources to total electricity consumption The proportion of electricity generated and consumed by the grid in the annual self-generated and self-consumed electricity of new energy sources As shown in equations (67), (68), and (69): (64); (65); (66); (67); (68); (69); Step 305: Determine the proportion of self-generated and self-consumed electricity from new energy sources to the total available power generation. The proportion of self-generated and self-consumed electricity from new energy sources to total electricity consumption The proportion of electricity generated and consumed by the grid in the annual self-generated and self-consumed electricity of new energy sources Whether it meets the policy requirements: the power source of the project for nearby consumption should be connected to the user side at the boundary between the user and the public power grid; the proportion of self-generated and self-consumed electricity from new energy sources should not be less than 60% of the total available power generation and not less than 30% of the total electricity consumption; and for new projects from 2030 onwards, not less than 35%.
[0060] Step (305-1): If all three ratios in step 304 meet the requirements, record the current wind power capacity. Photovoltaic capacity , and the To the Energy storage capacity, total A combination of wind, solar, and energy storage capacity, in which the wind power capacity is all... The photovoltaic capacity is Energy storage capacity from to Proceed to step (306-1).
[0061] Step (305-2): If at least one proportion in step 304 does not meet the requirements, further if... If at least one ratio in step 304 does not meet the requirements, then proceed to step (306-2); if further... ,but , ,Will As a new ,Will As a new , ,Will k new As a new k Proceed to step 304.
[0062] Step 306: Further judgment.
[0063] Step (306-1): If If so, proceed to step (306-2); ,but , ,Will As a new ,Will As a new , ,Will k new As a new k Proceed to step 304.
[0064] Step (306-2): If If so, proceed to step (306-3); ,but ,Will s new As a new s Proceed to step 303.
[0065] Step (306-3): If If so, proceed to step 307; ,but ,Will r new As a new r Proceed to step 302.
[0066] Step 307: Generate a combined wind, solar, and storage capacity table , for An array of 3 rows and 3 columns, where each row represents a combination of wind, solar and storage capacity that satisfies all constraints; They represent the first The capacity of wind power, photovoltaic power, and energy storage in a wind-solar-storage capacity configuration that satisfies all constraints.
[0067] This embodiment provides a method for the coordinated configuration of wind, solar and energy storage in a scenario of local consumption of new energy. It provides a method to quickly narrow down the possible space of wind power and photovoltaic capacity configuration. According to user load and policy requirements, it can quickly narrow down the feasible range of wind power and photovoltaic configuration capacity, and greatly avoid subsequent useless calculations.
[0068] This embodiment provides a wind-solar-storage coordinated configuration method for new energy local consumption scenarios, offering three energy storage operation strategies applicable to different scenarios, and enabling coverage of the initial energy storage operation strategy selection for common new energy local consumption scenarios.
[0069] This embodiment provides a method for the coordinated configuration of wind, solar and energy storage in the scenario of local consumption of new energy. It provides a fast calculation method for wind, solar and energy storage capacity configuration based on multi-level iteration and binary search, which can quickly traverse the wind, solar and energy storage capacity that can meet all constraints within the initial feasible range, and provide a basis for capacity configuration of new energy local consumption projects.
[0070] Example 2 This embodiment provides a wind-solar-storage coordinated configuration system for a new energy local consumption scenario, including: The initialization module is configured to initialize wind power count, photovoltaic count, and energy storage count, and set the upper limit of the number of energy storage cycles. The configuration calculation module is configured to: calculate the current wind power capacity, current photovoltaic capacity and current energy storage capacity based on wind power count, photovoltaic count and energy storage count; and calculate the proportion of annual self-generated and self-consumed electricity from new energy sources to total available power generation, the proportion of annual self-generated and self-consumed electricity from new energy sources to total electricity consumption and the proportion of grid-connected electricity to annual self-generated and self-consumed electricity from new energy sources through energy storage operation strategies. The update module is configured to: if all three ratios meet the requirements, record the current wind power capacity and the current photovoltaic capacity, and record a certain amount of energy storage capacity in combination with the upper limit of the energy storage traversal; otherwise, update the wind power count, photovoltaic count, energy storage count and the upper limit of the energy storage traversal, and return to recalculate the three ratios in order to carry out the three-layer cyclic binary search iteration traversal of energy storage capacity, photovoltaic capacity and wind power capacity in turn.
[0071] It should be noted that each module in this embodiment corresponds one-to-one with each step in Embodiment 1, and their specific implementation processes are the same, so they will not be repeated here.
[0072] Example 3 This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the wind-solar-storage coordinated configuration method for a new energy local consumption scenario as described in Embodiment 1 above.
[0073] Example 4 This embodiment provides a computer device, such as... Figure 2 As shown, the system includes a computer-readable storage medium 1003, a processor 1001, a communication interface 1002, and a computer program stored on the computer-readable storage medium 1003 and executable on the processor 1001. The processor 1001, communication interface 1002, and computer-readable storage medium 1003 can be connected via a bus or other means. The communication interface 1002 is used to receive and send data. When the processor 1001 executes the program, it implements the steps in the wind-solar-storage coordinated configuration method for a new energy local consumption scenario as described in Embodiment 1 above.
[0074] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. A method for configuring a wind-solar-storage system in a new energy nearby consumption scenario, characterized in that, include: Initialize the wind power count, photovoltaic count, and energy storage count, and set the upper limit for the number of energy storage cycles; Based on wind power counts, photovoltaic counts, and energy storage counts, the current wind power capacity, current photovoltaic capacity, and current energy storage capacity are calculated. Through energy storage operation strategies, the proportion of self-generated and self-consumed electricity from new energy sources to the total available power generation, the proportion of self-generated and self-consumed electricity from new energy sources to the total electricity consumption, and the proportion of grid-connected electricity to self-generated and self-consumed electricity from new energy sources are calculated. If all three ratios meet the requirements, record the current wind power capacity and the current photovoltaic capacity, and record a certain amount of energy storage capacity in combination with the upper limit of the energy storage traversal; otherwise, update the wind power count, photovoltaic count, energy storage count and the upper limit of the energy storage traversal, and return to recalculate the three ratios in order to carry out the three-layer cyclic binary search iterative traversal of energy storage capacity, photovoltaic capacity and wind power capacity in turn.
2. The method for coordinated configuration of wind, solar, and energy storage in a scenario of local consumption of new energy sources as described in claim 1, characterized in that, The upper limit for updating wind power counts, photovoltaic counts, energy storage counts, and energy storage traversal counts includes: Step (305-1): If all three ratios meet the requirements, proceed to step (306-1). Step (305-2): If at least one of the three ratios fails to meet the requirements, and if the wind power count... , If the number of iterations for the energy storage capacity is given, then jump to step (306-2); if at least one of the three ratios does not meet the requirements, and if ,but , The new upper limit for the number of energy storage cycles will be increased. As the upper limit of the number of energy storage cycles The lower limit of the new energy storage traversal quantity will be set. As a lower limit for the number of energy storage cycles , The new energy storage count k new As energy storage counting k Return to recalculate the three ratios; Step (306-1): If If so, proceed to step (306-2); ,but , ,Will As ,Will As , ,Will k new As a new k Return to recalculate the three ratios; Step (306-2): If photovoltaic counting , If the number of photovoltaic capacity iterations is specified, then proceed to step (306-3); if ,but ,Will s new As s Return to iterate through the energy storage capacity and recalculate the three ratios; Step (306-3): If wind power count , Given the number of wind power capacity iterations, record the current wind power capacity, current photovoltaic capacity, and a certain amount of energy storage capacity; if ,but ,Will r new As r Return to iterate through the photovoltaic capacity and recalculate the three ratios.
3. The method for coordinated configuration of wind, solar, and energy storage in a scenario of local consumption of new energy, as described in claim 1, is characterized in that... The proportion of self-generated and self-consumed electricity from the new energy sources to the total available power generation is: ;in, time_slot This represents the total number of time periods within a day. This refers to the amount of electricity directly utilized by new energy power generation in each time period. To store the discharge amount of energy in each time period, For the first The first day The output of new energy sources during each period.
4. The method for coordinated configuration of wind, solar, and energy storage in a scenario of local consumption of new energy sources as described in claim 1, characterized in that, The proportion of self-generated and self-consumed electricity from new energy sources to total electricity consumption is: ;in, time_slot This represents the total number of time periods within a day. This refers to the amount of electricity directly utilized by new energy power generation in each time period. To store the discharge amount of energy in each time period, For the first The first day User load during a given time period.
5. The method for coordinated configuration of wind, solar, and energy storage in a scenario of local consumption of new energy sources as described in claim 1, characterized in that, The proportion of the electricity generated and supplied to the grid relative to the annual self-generated and self-consumed electricity from new energy sources is: ;in, time_slot This represents the total number of time periods within a day. For the first The first day New energy output during each period This represents the amount of electricity wasted by the user in each time period.
6. The method for coordinated configuration of wind, solar, and energy storage in a scenario of local consumption of new energy sources as described in claim 1, characterized in that, The energy storage operation strategy is as follows: if the output of new energy power generation is greater than the user load, then the energy storage is charged; otherwise, the energy storage is discharged.
7. The method for coordinated configuration of wind, solar, and energy storage in a scenario of local consumption of new energy sources as described in claim 1, characterized in that, The energy storage operation strategy is as follows: when the cost per kilowatt-hour of green electricity is greater than or equal to the grid electricity purchase price, the energy storage is charged; otherwise, the energy storage is discharged. Alternatively, the energy storage operation strategy can be: manually setting the daily charging and discharging periods for the energy storage.
8. A wind-solar-storage coordinated configuration system for new energy local consumption scenarios, characterized in that, include: The initialization module is configured to initialize wind power count, photovoltaic count, and energy storage count, and set the upper limit of the number of energy storage cycles. The configuration calculation module is configured to: calculate the current wind power capacity, current photovoltaic capacity and current energy storage capacity based on wind power count, photovoltaic count and energy storage count; and calculate the proportion of annual self-generated and self-consumed electricity from new energy sources to total available power generation, the proportion of annual self-generated and self-consumed electricity from new energy sources to total electricity consumption and the proportion of grid-connected electricity to annual self-generated and self-consumed electricity from new energy sources through energy storage operation strategies. The update module is configured to: if all three ratios meet the requirements, record the current wind power capacity and the current photovoltaic capacity, and record a certain amount of energy storage capacity in combination with the upper limit of the energy storage traversal; otherwise, update the wind power count, photovoltaic count, energy storage count and the upper limit of the energy storage traversal, and return to recalculate the three ratios in order to carry out the three-layer cyclic binary search iteration traversal of energy storage capacity, photovoltaic capacity and wind power capacity in turn.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps in the wind-solar-storage coordinated configuration method for a new energy local consumption scenario as described in any one of claims 1-7.
10. A computer device comprising a computer-readable storage medium, a processor, and a computer program stored on the computer-readable storage medium and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the wind-solar-storage coordinated configuration method for a new energy local consumption scenario as described in any one of claims 1-7.