A wind-solar-storage grid-connected microgrid optimization scheduling method

Abstract

The application discloses a wind-solar-storage grid-connected type micro-grid optimization scheduling method, obtains a wind / light power generation prediction curve, a load prediction curve and a scheduling plan curve, obtains a grid-connected point power curve without using energy storage according to step (1), and calculates an energy storage charging cost set and a discharging benefit set according to step (2). According to a target SOC set according to step (3), the best charging and discharging time of the energy storage is calculated. According to step (5), the energy storage charging and discharging curve and the grid-connected point power curve are updated according to the maximum arbitrage principle; and the wind / light power generation plan curve and the load power consumption plan curve are calculated according to step (6). The application fully utilizes the characteristics of the energy storage, discharges to the power grid when the discharging benefit is high, charges the energy storage when the charging cost is low, and calculates the charging and discharging cost benefit curve at each time, so that the wind / light power generation plan and the load power consumption plan are more reasonably made.

Description

Technical Field

[0001] This invention relates to an optimized scheduling method for wind-solar-storage grid-connected microgrids, belonging to the field of microgrid optimized scheduling technology. Background Technology

[0002] With the rapid development of microgrids, the randomness and volatility of renewable energy generation such as wind and solar power due to their susceptibility to natural environmental influences have made optimal dispatching increasingly complex. Simultaneously, energy storage technology has developed rapidly, playing a significant role in smoothing fluctuations, peak shaving and valley filling, and assisting frequency response. Energy storage has become an indispensable part of microgrids, meaning that optimal dispatching must now consider not only power optimization but also electricity optimization. Developing reasonable power generation and consumption plans through optimized dispatching not only improves the economic efficiency of microgrids but is also a crucial link in ensuring the optimized operation of the power system, playing a vital role in energy conservation, emission reduction, pollutant emission reduction, and ensuring the safe and stable operation of the system. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to overcome the defects of the prior art and provide an optimized scheduling method for wind-solar-storage grid-connected microgrids. Based on wind / solar forecast data, load forecast data, scheduling plan, and safety constraints of each micro-source and grid connection point, a reasonable energy storage charging and discharging plan, wind and solar power generation plan and load power consumption plan are calculated according to the determined principles. According to the plan, the economic benefits of the microgrid can be improved.

[0004] To achieve the above objectives, this invention provides an optimized scheduling method for a wind-solar-storage grid-connected microgrid, comprising the following steps:

[0005] 1) Based on the pre-acquired wind / solar power generation forecast curves and load forecast curve Calculate the grid connection point power curve without energy storage using formula (1).

[0006]

[0007] Where t is time, Let be the grid connection power at time t. Let be the predicted load power at time t. Let be the predicted wind / solar power generation at time t;

[0008] 2) Based on the power curve at the grid connection point Pre-acquired scheduling plan curve Maximum power limit for grid connection points Lower limit of power constraint for internet access Grid connection point power limit constraint Lower limit of power constraint for grid connection The on-grid electricity price M at the grid connection point S The off-grid electricity price M at the grid connection point P Wind / solar power generation subsidy price M GS Electricity sales price per load M F Rated charge / discharge power P of energy storage BN The cost of generating electricity from wind / solar power (M) GC Less than the set constant M P Calculate the charging cost of energy storage at time t. Maximum charging power Minimum charging power Obtain the charging cost set

[0009] Calculate the discharge benefit of stored energy at time t Maximum discharge power and minimum discharge power Obtain the set of discharge benefits

[0010] 3) Based on the set SOC target value, discharge benefit set, and charging cost set, calculate the energy storage charge / discharge curve (P). t ,t), and correct the grid connection point power curve.

[0011] 4) Based on the corrected grid connection point power curve Scheduling plan curve Maximum power limit for grid connection points Lower limit of power constraint for internet access Grid connection point power limit constraint Lower limit of power constraint for grid connection The on-grid electricity price M at the grid connection point S The off-grid electricity price M at the grid connection point P Wind / solar power generation subsidy price M GS Electricity sales price per load M F Rated charge / discharge power P of energy storage BN The cost of generating electricity from wind / solar power (M) GC Less than the set constant M P Obtain the charging cost set and discharge benefit set Prioritize, 5) Based on the charging cost set C' and the discharging benefit set D', revise the energy storage charge-discharge curve (P) according to the principle of maximizing discharging benefit and minimizing charging cost. t ,t) and grid connection point power curves

[0012] 6) Based on the energy storage charge / discharge curve, the grid connection point power curve, and the upper limit of the grid connection point's on-grid power constraint. and the upper limit of grid connection power constraints Calculate the wind / solar power generation plan curve Load power consumption planning curve Preferably, step 2) includes the following steps:

[0013] 21) If there is no scheduling plan value at time t and the power supply is... At this point, energy storage can only be used for charging, which incurs charging costs. Maximum charging power Minimum charging power Discharge benefits Maximum discharge power Minimum discharge power

[0014] 22) If there is no scheduling plan value at time t and At this time, the energy storage is charging or discharging.

[0015] 23) If there is no scheduling plan value at time t and At this point, the stored energy can only discharge.

[0016] 24) If there is no scheduling plan value at time t and At this time, the energy storage is charging or discharging.

[0017] 25) If there is a scheduling plan value at time t and At this point, energy storage can only be used for charging.

[0018] 26) If there is a scheduling plan value at time t and At this point, the stored energy can only discharge.

[0019] 27) If there is a scheduling plan value at time t and At this time, energy storage is prohibited from charging or discharging.

[0020] Preferably, step 3) includes the following steps:

[0021] 31) Based on the set SOC target value, calculate the energy difference ΔQ between the current energy storage capacity and the target energy storage capacity using formula (2).

[0022]

[0023] Among them, SOC iLet C be the current SOC value of the i-th energy storage. i For the capacity of the i-th energy storage, SOC 目标 The set SOC target value;

[0024] 32) If △Q equals 0, the process ends; if △Q>0, proceed to step 33); if △Q<0, proceed to step 34.

[0025] 33) Based on the discharge benefit set Screening to obtain discharge benefits The maximum value M in max The discharge benefit value obtained through screening is M. max All moments T J Calculate the energy storage charging and discharging power P at the minimum time j. j From the set of discharge benefits and charging revenue collection Remove the charging cost, maximum charging power, minimum charging power, discharge benefit, maximum discharge power, and minimum discharge power of the energy stored at time j.

[0026] 34) Based on the charging cost set Screening to obtain charging costs The minimum value M in min The selected charging cost value is M. min All moments T J Calculate the energy storage charging and discharging power P at time j, where the minimum value is j. j From the set of discharge benefits and charging revenue collection Remove the charging cost, maximum charging power, minimum charging power, discharge benefit, maximum discharge power, and minimum discharge power of the energy stored at time j.

[0027] 35) The energy storage charging and discharging power P at time j j Add to the energy storage charge / discharge curve (P) t In t), from the power curve at the grid connection point Take the grid connection point power at time t=j, and the grid connection point power. Increase P j The power difference ΔQ decreases by 15 min*P j Proceed to step 32). Preferably, step 5) includes the following steps:

[0028] 56) For the set of discharge gains Reorder;

[0029] 57) For the charging cost set Reorder;

[0030] 58) Based on the discharge benefit set The first set of data and charging cost set The first set of data Calculate arbitrage space

[0031] If △TL>0, proceed to step 54); otherwise, terminate the process.

[0032] 59) Calculate arbitrage power Updated energy storage charge / discharge curves (P) t ,t) and grid connection point power curves

[0033] 60) Energy storage charging and discharging power P at time t1 t1 Increase P′, grid connection point power Increase the energy storage charging and discharging power P at time t2. t2 Increase P′, grid connection point power Increase P′;

[0034] Delete the discharge benefit set The set of discharge benefits, maximum discharge power, minimum discharge power, and charging cost of energy storage at time t1. The charging cost, maximum charging power, and minimum charging power of the energy storage at time t2 are determined, and then proceed to step 53).

[0035] Preferably, step 6) includes the following steps:

[0036] 63) Calculate the wind / solar power generation plan curve using formula (5) In

[0037]

[0038] 64) Calculate the load power consumption plan curve using formula (6). In

[0039]

[0040] Prioritize, in step 33), the energy storage charging and discharging power P at time j is calculated using formula (3). j :

[0041]

[0042] In the formula, Let j be the maximum discharge power of the stored energy. Let be the minimum discharge power of the energy stored at time j.

[0043] Prioritize, in step 34), the energy storage charging and discharging power P at time j is calculated using formula (4). j :

[0044]

[0045] Prioritize the discharge benefit set Reorder the data according to the following rules:

[0046] If the energy storage discharge benefit is higher, the priority is higher. If the energy storage discharge benefit is the same, the larger the discharge power range, the higher the priority. If the discharge power range is the same, the smaller the time, the higher the priority.

[0047] For charging cost set Reorder the data according to the following rules:

[0048] If the energy storage charging cost is lower, the priority is higher. If the energy storage charging cost is the same, the larger the charging power range, the higher the priority. If the charging power range is the same, the smaller the time, the higher the priority.

[0049] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0050] The beneficial effects achieved by this invention are as follows:

[0051] This invention, based on the wind / solar power generation forecast curves, load forecast curves, dispatch plan curves, grid connection point power curves, and safety constraints of each micro-source and grid connection point, calculates the wind / solar power generation plan curves and load consumption plan curves for each micro-source in the microgrid according to the principle of maximizing discharge revenue and minimizing charging costs. This invention fully utilizes the energy storage characteristics, discharging to the main grid when discharge revenue is high and charging the energy storage when charging costs are low. By calculating the charging and discharging cost-benefit curves at various times, and combining them with the wind / solar power generation forecast curves and load forecast curves, more reasonable wind / solar power generation plan curves and load consumption plan curves can be formulated. Furthermore, for the power allocated in each iteration, the minimum allocatable power value of the current segment is used, making the formulated power generation and consumption plan smoother and more scaled, effectively improving the safety and economy of grid operation.

[0052] Since the power generation and consumption plan curves involved in this method are calculated automatically, they do not require a large amount of manpower and the calculation speed can meet the requirements. This effectively solves the problems of the previous power generation and consumption plan, which required a large amount of manpower, relied on experience, and was inefficient. Attached Figure Description

[0053] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0054] The following embodiments are only used to illustrate the technical solutions of the present invention more clearly, and should not be used to limit the scope of protection of the present invention.

[0055] This invention first obtains the wind / solar power generation forecast curves, load forecast curves, and dispatch plan curves of each micro-source from the power forecasting system, with a time resolution of 15 minutes. Following step (1), the grid connection point power curve without energy storage is obtained. Following step (2), the energy storage charging cost set and discharging revenue set are calculated. Based on the target SOC set in step (3), the optimal charging and discharging time for energy storage is calculated. Following step (5), based on the arbitrage maximization principle, the energy storage charging and discharging curves and the grid connection point power curve are updated. Following step (6), the wind / solar power generation plan curve and the load power consumption plan curve are calculated.

[0056] This invention provides an optimized scheduling method for a wind-solar-storage grid-connected microgrid, comprising the following steps:

[0057] 1) Based on the pre-acquired wind / solar power generation forecast curves and load forecast curve Calculate the grid connection point power curve without energy storage using formula (1).

[0058]

[0059] Where t is time, Let be the grid connection power at time t. Let be the predicted load power at time t. Let be the predicted wind / solar power generation at time t;

[0060] The wind / solar power generation forecast curve, load forecast curve, and grid connection point power curve are all sampled at 15-minute intervals, with a sampling duration of 24 hours and a total of 96 sampling points.

[0061] 2) Based on the power curve at the grid connection point Pre-acquired scheduling plan curve Maximum power limit for grid connection points Lower limit of power constraint for internet access Grid connection point power limit constraint Lower limit of power constraint for grid connection The on-grid electricity price M at the grid connection point S The off-grid electricity price M at the grid connection point P Wind / solar power generation subsidy price M GS Electricity sales price per load M F Rated charge / discharge power P of energy storage BN The cost of generating electricity from wind / solar power (M) GC Less than the set constant MP Calculate the charging cost of energy storage at time t. Maximum charging power Minimum charging power Obtain the charging cost set

[0062] Calculate the discharge benefit of stored energy at time t Maximum discharge power and minimum discharge power Obtain the set of discharge benefits

[0063] 3) Based on the set SOC target value, discharge benefit set, and charging cost set, calculate the energy storage charge / discharge curve (P). t ,t), and correct the grid connection point power curve.

[0064] 4) Based on the corrected grid connection point power curve Scheduling plan curve Maximum power limit for grid connection points Lower limit of power constraint for internet access Grid connection point power limit constraint Lower limit of power constraint for grid connection The on-grid electricity price M at the grid connection point S The off-grid electricity price M at the grid connection point P Wind / solar power generation subsidy price M GS Electricity sales price per load M F Rated charge / discharge power P of energy storage BN The cost of generating electricity from wind / solar power (M) GC Less than the set constant M P Obtain the charging cost set and discharge benefit set Furthermore, in this embodiment, 5) based on the charging cost set C' and the discharging benefit set D', the energy storage charge-discharge curve (P) is modified according to the principle of maximizing discharging benefit and minimizing charging cost. t ,t) and grid connection point power curves

[0065] 6) Based on the energy storage charge / discharge curve, the grid connection point power curve, and the upper limit of the grid connection point's on-grid power constraint. and the upper limit of grid connection power constraints Calculate the wind / solar power generation plan curve Load power consumption planning curve Furthermore, in this embodiment, step 2) includes the following steps:

[0066] 21) If there is no scheduling plan value at time t and the power supply is... At this point, energy storage can only be used for charging, which incurs charging costs. Maximum charging power Minimum charging power Discharge benefits Maximum discharge power Minimum discharge power

[0067] 22) If there is no scheduling plan value at time t and At this time, the energy storage is charging or discharging.

[0068] 23) If there is no scheduling plan value at time t and At this point, the stored energy can only discharge.

[0069] 24) If there is no scheduling plan value at time t and At this time, the energy storage is charging or discharging.

[0070] 25) If there is a scheduling plan value at time t and At this point, energy storage can only be used for charging.

[0071] 26) If there is a scheduling plan value at time t and At this point, the stored energy can only discharge.

[0072] 27) If there is a scheduling plan value at time t and At this time, energy storage is prohibited from charging or discharging.

[0073] Furthermore, in this embodiment, step 3) includes the following steps:

[0074] 31) Based on the set SOC target value, calculate the energy difference ΔQ between the current energy storage capacity and the target energy storage capacity using formula (2).

[0075] Among them, SOC i Let C be the current SOC value of the i-th energy storage. i For the capacity of the i-th energy storage, SOC 目标 The set SOC target value;

[0076] 32) If △Q equals 0, the process ends; if △Q>0, proceed to step 33); if △Q<0, proceed to step 34.

[0077] 33) Based on the discharge benefit set Screening to obtain discharge benefits The maximum value M in max The discharge benefit value obtained through screening is M. max All moments T J Calculate the energy storage charging and discharging power P at the minimum time j. j From the set of discharge benefits and charging revenue collection Remove the charging cost, maximum charging power, minimum charging power, discharge benefit, maximum discharge power, and minimum discharge power of the energy stored at time j.

[0078] 34) Based on the charging cost set Screening to obtain charging costs The minimum value M in min The selected charging cost value is M. min All moments T J Calculate the energy storage charging and discharging power P at time j, where the minimum value is j. j From the set of discharge benefits and charging revenue collection Remove the charging cost, maximum charging power, minimum charging power, discharge benefit, maximum discharge power, and minimum discharge power of the energy storage at time j; 35) Change the energy storage charging and discharging power P at time j. j Add to the energy storage charge / discharge curve (P) t In t), from the power curve at the grid connection point Take the grid connection point power at time t=j, and the grid connection point power. Increase P j The power difference ΔQ decreases by 15 min*P j Proceed to step 32). Further, in this embodiment, step 5) includes the following steps:

[0079] 61) For the set of discharge gains Reorder;

[0080] 62) For the charging cost set Reorder;

[0081] 63) Based on the discharge benefit set The first set of data and charging cost set The first set of data Calculate arbitrage space

[0082] If △TL>0, proceed to step 54); otherwise, terminate the process.

[0083] 64) Calculate arbitrage power Updated energy storage charge / discharge curves (P) t ,t) and grid connection point power curves

[0084] 65) Energy storage charging and discharging power P at time t1 t1 Increase P′, grid connection point power Increase the energy storage charging and discharging power P at time t2. t2 Increase P′, grid connection point power Increase P′;

[0085] Delete the discharge benefit set The set of discharge benefits, maximum discharge power, minimum discharge power, and charging cost of energy storage at time t1. The charging cost, maximum charging power, and minimum charging power of the energy storage at time t2 are determined, and then proceed to step 53).

[0086] Furthermore, in this embodiment, step 6) includes the following steps:

[0087] 65) Calculate the wind / solar power generation plan curve using formula (5) In

[0088]

[0089] 66) Calculate the load power consumption plan curve using formula (6). In

[0090]

[0091] Furthermore, in this embodiment, in step 33), the energy storage charging and discharging power P at time j is calculated using formula (3). j :

[0092]

[0093] In the formula, Let j be the maximum discharge power of the stored energy. Let be the minimum discharge power of the energy stored at time j.

[0094] Furthermore, in this embodiment, in step 34), the energy storage charging and discharging power P at time j is calculated using formula (4). j :

[0095]

[0096] Furthermore, in this embodiment, the discharge benefit set... Reorder the data according to the following rules:

[0097] If the energy storage discharge benefit is higher, the priority is higher. If the energy storage discharge benefit is the same, the larger the discharge power range, the higher the priority. If the discharge power range is the same, the smaller the time, the higher the priority.

[0098] For charging cost set Reorder the data according to the following rules:

[0099] If the energy storage charging cost is lower, the priority is higher. If the energy storage charging cost is the same, the larger the charging power range, the higher the priority. If the charging power range is the same, the smaller the time, the higher the priority.

[0100] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0101] This technical solution has been applied in a grid-connected energy storage microgrid system. The microgrid system includes photovoltaic, energy storage, two primary loads and three secondary loads. The optimized scheduling algorithm program is deployed in the microgrid monitoring and energy management system. It can obtain various photovoltaic power generation forecast curves and load forecast curves from the historical database, as well as receive the upper-level scheduling AGC curve through the 104 protocol. Through data integration and optimization of the basic data required for scheduling calculation, the final energy storage charging and discharging plan, photovoltaic power generation plan curve and load power consumption plan curve are formed according to the calculation steps described in this invention.

[0102] By incorporating updated forecast data, this invention automatically calculates and iteratively updates the energy storage charging and discharging plan, photovoltaic power generation plan curve, and load power consumption plan curve every 15 minutes. Optimized scheduling based on time scales is divided into intraday and day-ahead plans, which can be issued automatically or manually, improving the safety, stability, and automation level of the microgrid.

[0103] Analysis of the calculation results shows that the optimized scheduling plan maximizes economic value while ensuring the safe operation of the microgrid.

[0104] This method does not require a large amount of human intervention, and the computation speed can meet the needs of practical applications. It effectively solves the problems of traditional optimization scheduling plans, which require a large amount of human intervention, rely on experience, are inefficient, have unreasonable plans, and lack theoretical support. It has broad prospects for promotion.

[0105] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0106] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0107] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0108] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for optimized scheduling of a wind-solar-storage grid-connected microgrid, characterized in that, Includes the following steps: 1) Based on the pre-acquired wind / solar power generation forecast curves and load forecast curve Calculate the grid connection point power curve without energy storage using formula (1). Where t is time, Let be the grid connection power at time t. Let be the predicted load power at time t. Let be the predicted wind / solar power generation at time t; 2) Based on the power curve at the grid connection point Pre-acquired scheduling plan curve Maximum power limit for grid connection points Lower limit of power constraint for internet access Grid connection point power limit constraint Lower limit of power constraint for grid connection The on-grid electricity price M at the grid connection point S The off-grid electricity price M at the grid connection point P Wind / solar power generation subsidy price M GS Electricity sales price per load M F Rated charge / discharge power P of energy storage BN The cost of generating electricity from wind / solar power (M) GC Less than the set constant M P Calculate the charging cost of energy storage at time t. Maximum charging power Minimum charging power Obtain the charging cost set C Calculate the discharge benefit of stored energy at time t Maximum discharge power and minimum discharge power Obtain the discharge benefit set D 3) Based on the set SOC target value, discharge benefit set, and charging cost set, calculate the energy storage charge / discharge curve (P). t ,t), and correct the grid connection point power curve. 4) Based on the corrected grid connection point power curve Scheduling plan curve Maximum power limit for grid connection points Lower limit of power constraint for internet access Grid connection point power limit constraint Lower limit of power constraint for grid connection The on-grid electricity price M at the grid connection point S The off-grid electricity price M at the grid connection point P Wind / solar power generation subsidy price M GS Electricity sales price per load M F Rated charge / discharge power P of energy storage BN The cost of generating electricity from wind / solar power (M) GC Less than the set constant M P Obtain the charging cost set C' and discharge benefit set D' 2. The optimized scheduling method for a wind-solar-storage grid-connected microgrid according to claim 1, characterized in that, 5) Based on the charging cost set C' and the discharging benefit set D', and following the principle of maximizing discharging benefit and minimizing charging cost, revise the energy storage charging and discharging curve (P). t ,t) and grid connection point power curves 6) Based on the energy storage charge / discharge curve, the grid connection point power curve, and the upper limit of the grid connection point's on-grid power constraint. and the upper limit of grid connection power constraints Calculate the wind / solar power generation plan curve Load power consumption planning curve 3. The optimized scheduling method for a wind-solar-storage grid-connected microgrid according to claim 1, characterized in that, Step 2) includes the following steps: 21) If there is no scheduling plan value at time t and the power supply is... At this point, energy storage can only be charged, and the charging cost... Maximum charging power Minimum charging power Discharge benefits Maximum discharge power Minimum discharge power 22) If there is no scheduling plan value at time t and At this time, the energy storage is charging or discharging. 23) If there is no scheduling plan value at time t and At this point, the stored energy can only discharge. 24) If there is no scheduling plan value at time t and At this time, the energy storage is charging or discharging. 25) If there is a scheduling plan value at time t and At this point, energy storage can only be used for charging. 26) If there is a scheduling plan value at time t and At this point, the stored energy can only discharge. 27) If there is a scheduling plan value at time t and At this time, energy storage is prohibited from charging or discharging.

4. The optimized scheduling method for a wind-solar-storage grid-connected microgrid according to claim 1, characterized in that, Step 3) includes the following steps: 31) Based on the set SOC target value, calculate the energy difference ΔQ between the current energy storage capacity and the target energy storage capacity using formula (2). Among them, SOC i Let C be the current SOC value of the i-th energy storage. i For the capacity of the i-th energy storage, SOC 目标 The set SOC target value; 32) If △Q equals 0, the process ends; if △Q>0, proceed to step 33); if △Q<0, proceed to step 34. 33) Based on the discharge benefit set D Screening to obtain discharge benefits The maximum value M in max The discharge benefit value obtained through screening is M. max All moments T J Calculate the energy storage charging and discharging power P at the minimum time j. j From the discharge benefit set D and charging revenue set C Remove the charging cost, maximum charging power, minimum charging power, discharge benefit, maximum discharge power, and minimum discharge power of the energy stored at time j. 34) Based on the charging cost set C Screening to obtain charging costs The minimum value M in min The selected charging cost value is M. min All moments T J Calculate the energy storage charging and discharging power P at time j, where the minimum value is j. j From the discharge benefit set D and charging revenue set C Remove the charging cost, maximum charging power, minimum charging power, discharge benefit, maximum discharge power, and minimum discharge power of the energy stored at time j. 35) The energy storage charging and discharging power P at time j j Add to the energy storage charge / discharge curve (P) t In t), from the power curve at the grid connection point Take the grid connection point power at time t=j, and the grid connection point power. Increase P j The power difference ΔQ decreases by 15 min*P j Proceed to step 32).

5. The optimized scheduling method for a wind-solar-storage grid-connected microgrid according to claim 2, characterized in that, Step 5) includes the following steps: 51) For the discharge benefit set D' Reorder; 52) For the charging cost set C' Reorder; 53) Based on the discharge benefit set D' The first set of data and charging cost set C' The first set of data Calculate arbitrage space If △TL>0, proceed to step 54); otherwise, terminate the process. 54) Calculate arbitrage power Updated energy storage charge / discharge curves (P) t ,t) and grid connection point power curves 55) Energy storage charging and discharging power P at time t1 t1 Increase P′, grid connection point power Increase the energy storage charging and discharging power P at time t2. t2 Increase P′, grid connection point power Increase P′; Remove the discharge benefit set D' The set C' of energy storage discharge revenue, maximum discharge power, minimum discharge power, and charging cost at time t1. The charging cost, maximum charging power, and minimum charging power of the energy storage at time t2 are determined, and then proceed to step 53).

6. The optimized scheduling method for a wind-solar-storage grid-connected microgrid according to claim 2, characterized in that, Step 6) includes the following steps: 61) Calculate the wind / solar power generation plan curve using formula (5) In 62) Calculate the load power consumption plan curve using formula (6). In 7. The optimized dispatching method for a wind-solar-storage grid-connected microgrid according to claim 4, characterized in that, In step 33), the energy storage charging and discharging power P at time j is calculated using formula (3). j : In the formula, Let j be the maximum discharge power of the stored energy. Let be the minimum discharge power of the energy stored at time j.

8. The optimized scheduling method for a wind-solar-storage grid-connected microgrid according to claim 1, characterized in that, In step 34), the energy storage charging and discharging power P at time j is calculated using formula (4). j :

9. The optimized scheduling method for a wind-solar-storage grid-connected microgrid according to claim 5, characterized in that, For the discharge benefit set D' Reorder the data according to the following rules: If the energy storage discharge benefit is higher, the priority is higher. If the energy storage discharge benefit is the same, the larger the discharge power range, the higher the priority. If the discharge power range is the same, the smaller the time, the higher the priority. For the charging cost set C' Reorder the data according to the following rules: If the energy storage charging cost is lower, the priority is higher. If the energy storage charging cost is the same, the larger the charging power range, the higher the priority. If the charging power range is the same, the smaller the time, the higher the priority.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method according to any one of claims 1 to 8.

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