A distributed photovoltaic energy storage system and grid control operation method, device, equipment and medium

Abstract

The application discloses a kind of distributed photovoltaic energy storage system and grid control operation method, device, equipment and medium, comprising: determining the first N-1 limit outage rate data of minimum distribution electronic island and the first load balancing rate data of minimum distribution electronic network;Determine the second N-1 limit outage rate data of minimum distribution electronic island and the second load balancing rate data of the minimum distribution electronic network;Determine several energy storage strategies under time period;According to the first load balancing rate data and the second load balancing rate data under several time periods, the optimal time period energy storage strategy under the time period is obtained by screening several energy storage strategies under the time period;According to the optimal time period energy storage strategy under several time periods, the optimal energy storage strategy of distributed photovoltaic energy storage system is obtained.The application belongs to the field of grid control strategy.The application can improve the safety of distribution network operation.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power grid control strategy, and particularly relates to a distributed photovoltaic energy storage system and power grid control operation method, device, equipment and medium. BACKGROUND

[0002] The distribution network is a key part of the power system that transmits power from the transmission network to the end user, mainly composed of distribution substations, lines, transformers and automation systems, and can be divided into high-voltage, medium-voltage and low-voltage distribution networks according to voltage levels.

[0003] As the terminal network of power transmission, the power grid contains a larger number of devices, and the operation state of the power grid is difficult to determine. When the load of the external energy storage system is connected, it will cause the power grid to fluctuate, and the operation state of the power grid is more difficult to predict. Therefore, how to provide a more secure energy storage system access strategy for the distribution network is a problem to be solved. SUMMARY

[0004] The present application provides a distributed photovoltaic energy storage system and power grid control operation method, device, equipment and medium, which solves the technical problem of possible operation failure caused by connecting external power supply to the distribution network in the prior art, and achieves the technical effect of improving the safety of power grid operation.

[0005] In a first aspect, the present application provides a distributed photovoltaic energy storage system and power grid control operation method, comprising:

[0006] Simulate the first N-1 limit outage rate data of the minimum power electronic island and the first load balancing rate data of the minimum power electronic network after the target distribution network respectively connects different energy storage capacities of the distributed photovoltaic energy storage system in each period, wherein the target distribution network includes a plurality of minimum power electronic networks, and each minimum power electronic network includes at least two minimum power electronic islands;

[0007] Simulate the second N-1 limit outage rate data of the minimum power electronic island and the second load balancing rate data of the minimum power electronic network after each minimum power electronic network respectively connects different energy storage capacities of the distributed photovoltaic energy storage system in each period;

[0008] According to the first N-1 limit outage rate data and the second N-1 limit outage rate data in the period, determine a plurality of energy storage strategies in the period;

[0009] According to the first load balancing rate data and the second load balancing rate data in the period, screen the plurality of energy storage strategies in the period to obtain an optimal period energy storage strategy in the period;

[0010] According to the optimal period energy storage strategy in the plurality of periods, obtain the optimal energy storage strategy of the distributed photovoltaic energy storage system.

[0011] Further, according to the first N-1 limit loss of power data and the second N-1 limit loss of power data in the period, a plurality of energy storage strategies in the period are determined, including:

[0012] In the context of different energy storage capacities of the distributed photovoltaic energy storage system respectively connected to the target power distribution network in each period:

[0013] If the first N-1 limit loss of power data of each minimum power electronic island when the target power distribution network connects the energy storage capacity in the period is not greater than 0, the energy storage capacity is taken as a first loss of power energy storage strategy in the period, and a plurality of first loss of power energy storage strategies are obtained;

[0014] In the context of different energy storage capacities of the distributed photovoltaic energy storage system respectively connected to the minimum power electronic network in each period:

[0015] Determine the energy storage capacity corresponding to the minimum power electronic island in the minimum power electronic network when the second N-1 limit loss of power data of the minimum power electronic island in the minimum power electronic network is less than or equal to 0 after the minimum power electronic network connects different energy storage capacities in the period;

[0016] Sum the maximum value of the energy storage capacity corresponding to the minimum power electronic island in each minimum power electronic network when the second N-1 limit loss of power data of the minimum power electronic island in each minimum power electronic network is less than or equal to 0 in the period to obtain the sum of energy storage capacities;

[0017] The energy storage capacity below the sum of energy storage capacities is taken as a second loss of power energy storage strategy in the period;

[0018] According to the plurality of first loss of power energy storage strategies and the plurality of second loss of power energy storage strategies, a plurality of energy storage strategies in the period are determined.

[0019] Further, according to the plurality of first loss of power energy storage strategies and the plurality of second loss of power energy storage strategies, a plurality of energy storage strategies in the period are determined, including:

[0020] The overlapping part of the plurality of first loss of power energy storage strategies and the plurality of second loss of power energy storage strategies is taken as a plurality of energy storage strategies in the period.

[0021] Further, according to the plurality of first load balancing rate data and the plurality of second load balancing rate data in the period, the plurality of energy storage strategies in the period are screened to obtain an optimal period energy storage strategy in the period, including:

[0022] In the context of different energy storage capacities of the distributed photovoltaic energy storage system respectively connected to the target power distribution network in each period:

[0023] If the first load balancing rate data of the minimum power distribution network is greater than the preset load balancing rate threshold after the target power distribution network accesses the energy storage capacity in the time period, and there is an energy storage strategy corresponding to the energy storage capacity, the energy storage strategy is excluded;

[0024] In the scenario of different energy storage capacities of the distributed photovoltaic energy storage system accessed by the minimum power distribution network in each time period:

[0025] If the second load balancing rate data of the minimum power distribution network is greater than the preset load balancing rate threshold after the minimum power distribution network accesses different energy storage capacities in the time period, the sum of energy storage capacities is recalculated when the second load balancing rate of the minimum power distribution network is equal to the preset load balancing rate threshold, and the energy storage strategy is updated with the recalculated sum of energy storage capacities;

[0026] The energy storage strategy corresponding to the maximum energy storage capacity in the time period is taken as the optimal time period energy storage strategy in the time period.

[0027] Further, updating the energy storage strategy with the recalculated sum of energy storage capacities includes:

[0028] The part of the recalculated energy storage capacity overlapping with the energy storage capacity corresponding to the energy storage strategy is taken as the updated energy storage strategy in the time period.

[0029] Further, the N-1 limit outage rate of the minimum power distribution island includes:

[0030]

[0031] wherein, is the N-1 limit outage rate of the minimum power distribution island, is the load current of the minimum power distribution island, is the load current of the power switch passing through the first minimum power distribution island, is the load current of the power switch passing through the first minimum power distribution island, is the number of sub-islands contained in the minimum power distribution network.

[0032] Further, the optimal energy storage strategy of the distributed photovoltaic energy storage system is obtained according to the optimal time period energy storage strategies in the several time periods, including:

[0033] The optimal time period energy storage strategies in the several time periods are sorted in time sequence;

[0034] The sorted optimal time period energy storage strategies are taken as the optimal energy storage strategy of the distributed photovoltaic energy storage system, and the distributed photovoltaic energy storage system is controlled to store energy in sequence.

[0035] In a second aspect, the present application provides a distributed photovoltaic energy storage system and grid control operation device, comprising:

[0036] A first simulation module is configured to simulate first N-1 limit outage rate data of a minimum power supply island and first load balancing rate data of a minimum power supply network after the target power distribution network accesses different energy storage capacities of the distributed photovoltaic energy storage system in each time period, wherein the target power distribution network comprises a plurality of minimum power supply networks, and each minimum power supply network comprises at least two minimum power supply islands;

[0037] A second simulation module is configured to simulate second N-1 limit outage rate data of a minimum power supply island and second load balancing rate data of a minimum power supply network after each minimum power supply network accesses different energy storage capacities of the distributed photovoltaic energy storage system in each time period;

[0038] A first energy storage strategy module is configured to determine a plurality of energy storage strategies in a time period according to a plurality of first N-1 limit outage rate data and a plurality of second N-1 limit outage rate data in the time period;

[0039] A second energy storage strategy module is configured to screen a plurality of energy storage strategies in a time period according to a plurality of first load balancing rate data and a plurality of second load balancing rate data in the time period, to obtain an optimal time period energy storage strategy in the time period;

[0040] An optimal energy storage strategy module is configured to obtain an optimal energy storage strategy of the distributed photovoltaic energy storage system according to optimal time period energy storage strategies in a plurality of time periods.

[0041] In a third aspect, the present application provides an electronic device, comprising:

[0042] A processor;

[0043] A memory for storing processor-executable instructions;

[0044] The processor is configured to execute to implement the distributed photovoltaic energy storage system and grid control operation method provided in the first aspect.

[0045] In a fourth aspect, the present application provides a non-transitory computer readable storage medium, when the instructions in the non-transitory computer readable storage medium are executed by the processor of the electronic device, the electronic device can execute the implementation of the distributed photovoltaic energy storage system and grid control operation method provided in the first aspect.

[0046] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0047] The application obtains rich sample data from the synergy of the whole and the single part of the power distribution network by connecting different capacities to the target power distribution network and the minimum power distribution network, thereby providing a reliable basis for determining the energy storage strategy in the following text and improving the reliability of the strategy.

[0048] In the construction of the first power loss energy storage strategy, the distributed photovoltaic energy storage system is not connected to the maximum energy storage capacity of the target power distribution network, but is constructed in a traversal energy storage capacity manner, thereby restoring the real scene as much as possible and improving the confidence level of the strategy.

[0049] The first power loss energy storage strategy and the second power loss energy storage strategy reflect the overall limit and the local limit of the target power distribution network, and improve the safety of the power distribution network through double screening.

[0050] The first load balancing rate data and the second load data emphasize the load balancing of the sub-regions and the load balancing between nodes, thereby improving the safety of the power grid operation, and the first load balancing rate data and the second load data double-screen the strategy again, thereby improving the confidence level of the strategy. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0052] Figure 1 A flowchart of a distributed photovoltaic energy storage system and grid control operation method provided by the present application is shown.

[0053] Figure 2 A structural diagram of a distributed photovoltaic energy storage system and grid control operation device provided by the present application is shown. DETAILED DESCRIPTION

[0054] The embodiment of the present application provides a distributed photovoltaic energy storage system and grid control operation method, which solves the technical problem that the power distribution network may cause operation failure after connecting to an external power supply in the prior art.

[0055] The technical solution of the present application is as follows to solve the above technical problems:

[0056] The application discloses a distributed photovoltaic energy storage system and a grid control operation method.

[0057] In order to better understand the above technical solutions, the above technical solutions will be described in detail below in combination with the description of the drawings and specific embodiments.

[0058] First of all, the term "and / or" appearing in this paper is only a description of the association relationship between the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " in this paper generally represents an "or" relationship between the front and rear associated objects.

[0059] When the distributed energy storage energy is connected to the power distribution network, the use pressure of electric energy can be greatly reduced, but at the same time, it may also cause complex changes in the structure and operating state of the power distribution network, thereby causing the stability to decline, thereby possibly causing the power distribution network to fail. The purpose of the application is that when the power distribution network is controlled to connect other energy from the outside, the power distribution network can still be operated without failure.

[0060] The externally connected energy can be the distributed energy storage system proposed in the application, or other power sources.

[0061] The following explains some professional terms:

[0062] The sub-network composed of several feeder sections connected to each other in the power distribution network is referred to as a power distribution area.

[0063] If the power distribution area contains at least one power supply point, the boundary node is a tie-in switch or a terminal node, and the inner node is a sectionalizing switch, the area is referred to as a minimum power distribution island.

[0064] Two minimum power electronic islands with the same interlocking switch are called adjacent minimum power electronic islands.

[0065] A region composed of all adjacent minimum power electronic islands with a communication relationship is called a minimum power electronic network.

[0066] In other words: the target power distribution network can include several minimum power electronic networks, and each minimum power electronic network includes at least two minimum power electronic islands.

[0067] The N-1 limit outage rate refers to: if a certain outgoing switch fails, if the fault affects the load and cannot be completely transferred, load shedding needs to be handled, and the shed load is called a sub-island N The N-1 limit outage load, and the ratio of the total load affected by the fault is defined as N The N-1 limit outage rate.

[0068] The N-1 limit outage rate of the minimum power electronic island includes:

[0069]

[0070] Wherein, is the N-1 limit outage rate of the minimum power electronic island, is the load current of the minimum power electronic island, is the load current of the power supply switch through the first minimum power electronic island, is the load current of the power supply switch through the first minimum power electronic island, is the number of sub-islands contained in the minimum power electronic network.

[0071] The load balancing rate refers to the uniformity of the load distribution between each node or region in the power distribution network, and the load balancing rate can reflect whether the load distribution between the nodes or regions in the power distribution network is balanced. Unbalanced load distribution may cause some nodes to have excessively high or low voltage.

[0072] The present application provides a kind of distributed photovoltaic energy storage system and grid control operation method as shown in Figure 1 Including steps S11-S15:

[0073] Step S11, simulates the first N-1 limit outage rate data of the minimum power electronic island and the first load balancing rate data of the minimum power electronic network after the different energy storage capacities of the distributed photovoltaic energy storage system are connected to the target power distribution network in each period.

[0074] It can be understood that the energy consumption conditions of each period of the day are different, so the day can be simulated according to the actual situation and divided into multiple periods, for example, the division method provided by the present application is to divide the day into 24 or 12 periods, each period is 1 hour or 2 hours.

[0075] After dividing into several time periods, the different energy storage capacities of the distributed photovoltaic energy storage system accessing the target power distribution network in each time period are simulated.

[0076] For example, in the 8.00-9.00 time period, the distributed photovoltaic energy storage system accesses the target power distribution network with 1%, 2%, 3%,..., 99% energy storage capacity respectively, and the first load balancing rate data of each minimum power distribution network and the first N-1 limit outage rate data of each minimum power distribution island in each minimum power distribution network are obtained.

[0077] In addition to being able to be carried out in an actual power grid, for safety, it can also be implemented based on MATLAB / Simulink, DIgSILENT PowerFactory, ETAP (Electrical Transient Analyzer Program), OpenDSS (Distribution System Simulator) and the like.

[0078] It should be emphasized that the energy storage capacity can be expressed in terms of the percentage of the remaining energy storage capacity, or in terms of the energy storage load of the energy storage capacity, and in the present application, it is expressed in terms of the percentage of the remaining energy storage capacity (SOC).

[0079] When accessing the target power distribution network with each percentage of the remaining energy storage capacity, the first load balancing rate data of each minimum power distribution network in the target power distribution network and the first N-1 limit outage rate data of each minimum power distribution island in the minimum power distribution network are recorded in sequence.

[0080] Step S12, simulating the second N-1 limit outage rate data of the minimum power distribution island and the second load balancing rate data of the minimum power distribution network of each minimum power distribution network in each time period after accessing the distributed photovoltaic energy storage system with different energy storage capacities.

[0081] Similarly to step S11, the object of access in step S11 is the target power distribution network, and the object of access in step S12 is the minimum power distribution network in the target power distribution network.

[0082] For example, the target power distribution network includes minimum power distribution networks A, B and C, and for A, the distributed photovoltaic energy storage system can access the minimum power distribution network A with 1%, 2%, 3%,..., 99% energy storage capacity respectively, and when accessing the minimum power distribution network A with each percentage of the remaining energy storage capacity, the first load balancing rate data of the minimum power distribution network A and the first N-1 limit outage rate data of the minimum power distribution island in the minimum power distribution network A are recorded once, and B and C are executed according to the same logic.

[0083] The application obtains rich sample data from the synergistic whole and single part of the power distribution network by connecting different capacities to the target power distribution network and the minimum power distribution sub-network, provides reliable basis for determining the energy storage strategy in the following text, and improves the reliability of the strategy.

[0084] In step S13, a number of energy storage strategies in the time period are determined according to a number of first N-1 limit power loss rate data and a number of second N-1 limit power loss rate data in the time period.

[0085] Specifically includes:

[0086]

In the context of different energy storage capacities of the distributed photovoltaic energy storage system connected to the target power distribution network in each time period

[0087] If the first N-1 limit power loss rate data of each minimum power distribution island when the target power distribution network connects the energy storage capacity in the time period is not greater than 0, the energy storage capacity is taken as a first power loss energy storage strategy in the time period, and a number of first power loss energy storage strategies are obtained.

[0088] As mentioned above, when the first N-1 limit power loss rate data of the minimum power distribution island is not greater than 0, it means that no load shedding is needed, and the minimum power distribution island is in a safe state, when the first N-1 limit power loss rate data is greater than 0, it means that load shedding is needed at this time, and the minimum power distribution island is in an abnormal state, which may fail.

[0089] For example, in the 8.00-9.00 time period, the distributed photovoltaic energy storage system is connected to the target power distribution network at 50% respectively, and the first N-1 limit power loss rate data of each minimum power distribution island in the target power distribution network is not greater than 0, which means that the minimum power distribution island does not need to do load shedding, at this time, the strategy of connecting the target power distribution network at 50% is saved for the 8.00-9.00 time period, and it is taken as a first power loss energy storage strategy.

[0090] If the distributed photovoltaic energy storage system is connected to the target power distribution network at 75% respectively, and there is at least one minimum power distribution island in the target power distribution network whose first N-1 limit power loss rate data is greater than 0, the strategy of connecting the target power distribution network at 75% by the distributed photovoltaic energy storage system is discarded.

[0091] After simulation iteration is performed at 1%...99%, a number of first power loss energy storage strategies are obtained.

[0092] It needs to be particularly pointed out that in the actual power distribution process, there may be missing points, for example, the minimum power distribution electronic island may be 1%,..., 40%, 42%,..., 74%, among which it is obvious that the strategy of 41% is missing (which may be related to many factors, such as the battery characteristics of the energy storage system, the functions of the components in the power distribution network, the state, etc., which are not discussed here).

[0093] The present application does not construct the maximum energy storage capacity of the distributed photovoltaic energy storage system accessing the target power distribution network when constructing the first power loss energy storage strategy, but constructs in the form of traversing the energy storage capacity, as much as possible to restore the real scene, and improve the confidence degree of the strategy.

[0094]

In the context of the minimum power distribution electronic network accessing the distributed photovoltaic energy storage system with different energy storage capacities in each time period

[0095] Determine the energy storage capacity corresponding to the second N-1 limit power loss rate data of the minimum power distribution electronic island in the minimum power distribution electronic network after accessing different energy storage capacities in the time period. If there is any second N-1 limit power loss rate data of the minimum power distribution electronic island in the minimum power distribution electronic network greater than 0, the strategy corresponding to the discarded energy storage capacity.

[0096] For example, the minimum power distribution electronic networks A, B and C, in the 8.00-9.00 time period, the distributed photovoltaic energy storage system accesses the minimum power distribution electronic network A with 5%, the minimum power distribution electronic network A includes the minimum power distribution electronic islands D and E, and the second N-1 limit power loss rate data of the minimum power distribution electronic islands D and E are all less than or equal to 0, then the strategy of the distributed photovoltaic energy storage system accessing the minimum power distribution electronic network A with 5% is saved.

[0097] Sum the maximum values of the energy storage capacities corresponding to the second N-1 limit power loss rate data of the minimum power distribution electronic islands in each minimum power distribution electronic network in the time period, to obtain the sum of the energy storage capacities.

[0098] Summing the maximum values of the energy storage capacities corresponding to the second N-1 limit power loss rate data of the minimum power distribution electronic islands in each minimum power distribution electronic network in the time period means that the strategies corresponding to the maximum energy storage capacities saved by each minimum power distribution electronic network are added respectively.

[0099] For example, the minimum power distribution electronic networks A, B and C, in the 8.00-9.00 time period, A saves the strategies of 1%, 2%,..., 5%, B saves the strategies of 1%,..., 15%, and C saves the strategies of 1%,..., 25%.

[0100] The strategy corresponding to the maximum energy storage capacity of each minimum power distribution subnetwork in the 8.00-9.00 period is A (5%), B (15%), and C (25%), and the sum of the maximum energy storage capacities is 5% (A) + 15% (B) + 25% (C) = 45%.

[0101] The energy storage capacity below the sum of the energy storage capacities is the second power outage energy storage strategy for the period.

[0102] As described in the above example, the energy storage capacity below 45% is the second power outage energy storage strategy for the period, that is, 1%,..., 45%

[0103] According to the plurality of first power outage energy storage strategies and the plurality of second power outage energy storage strategies, a plurality of energy storage strategies for the period are determined.

[0104] Specifically, it includes:

[0105] The overlapping part of the plurality of first power outage energy storage strategies and the plurality of second power outage energy storage strategies is the plurality of energy storage strategies for the period.

[0106] As described in the above example, for example, in the 8.00-9.00 period, the first power outage energy storage strategy is 1%,..., 40%, 42%,..., 74%, and the second power outage energy storage strategy is 1%,..., 45%, and the overlapping part is 1%,..., 40%, and 42%,..., 45%.

[0107] The first power outage energy storage strategy and the second power outage energy storage strategy of the application reflect the overall limit and local limit of the target power distribution network, and improve the safety of the power distribution network through double screening.

[0108] Step S14, according to the plurality of first load balancing rate data and the plurality of second load balancing rate data in the period, the plurality of energy storage strategies in the period are screened, and the optimal period energy storage strategy in the period is obtained.

[0109] Specifically, it includes:

[0110]

In the context of different energy storage capacities of the distributed photovoltaic energy storage system connected to the target power distribution network in each period

[0111] If the first load balancing rate data of the minimum power distribution subnetwork is greater than the preset load balancing rate threshold after the target power distribution network connects the energy storage capacity in the period, and there is an energy storage strategy corresponding to the energy storage capacity, the energy storage strategy is removed.

[0112] When the first load balancing rate data of each minimum power distribution subnetwork in the power distribution network subnetwork is less than or equal to the preset load balancing rate threshold, it can be considered that the operation state of the target power distribution network is normal.

[0113] When the first load balance rate data of each minimum power distribution network in the power distribution network subnetwork is greater than the preset load balance rate threshold, it indicates that the load distribution of the minimum power distribution network is uneven, and there may be operation failure.

[0114] For example, during the 8.00-9.00 period, the energy storage strategy of the power distribution network subnetwork is 1%,..., 40%, and 42%,..., 45%.

[0115] If, during the 8.00-9.00 period, the distributed photovoltaic energy storage system accesses the target power distribution network at 32%, the first load balance rate data of the minimum power distribution network A in the power distribution network subnetwork is greater than the preset load balance rate threshold, and the strategy corresponding to 32% is excluded from the strategy of 1%,..., 40%.

[0116] The first load balance rate data emphasizes the uniform distribution of the load of each sub-region of the target power distribution network.

[0117]

In the scenario that the minimum power distribution network accesses distributed photovoltaic energy storage systems with different energy storage capacities in each period

[0118] If the second load balance rate data of the minimum power distribution network is greater than the preset load balance rate threshold after the minimum power distribution network accesses different energy storage capacities in the period, the sum of the energy storage capacities is recalculated when the second load balance rate of the minimum power distribution network is equal to the preset load balance rate threshold, and the energy storage strategy is updated based on the recalculated sum of the energy storage capacities.

[0119] The second load balance rate data emphasizes the uniform distribution of the load of the nodes included in the minimum power distribution network.

[0120] The preset load balance rate threshold compared by the second load balance rate data and the preset load balance rate threshold compared by the second load balance rate data can be the same or different, and can be determined according to actual conditions.

[0121] For example, the minimum power distribution network A originally saves the strategy of 1%, 2%,..., 5% during the 8.00-9.00 period, and the second load balance rate data of the minimum power distribution network A is greater than the preset load balance rate threshold at 5%.

[0122] The second load balance rate data of the minimum power distribution network A is equal to the preset load balance rate threshold at 1%, 2%,..., 4%, and the maximum value of 4% in 1%, 2%,..., 4% is recalculated to calculate the sum of the energy storage capacities, and the calculation method can refer to the content in step S13.

[0123] The sum of the re-calculated energy storage capacities is used to update the energy storage strategy, including: the overlapping part of the re-calculated energy storage capacity and the energy storage capacity corresponding to the energy storage strategy is taken as the updated energy storage strategy of the period.

[0124] For example, the energy storage strategy in step S13 is 1%,..., 40% and 42%,..., 45%, and the strategy corresponding to 32% is excluded based on the first load balancing rate data, so the energy storage strategy at this time is 1%-45% (excluding 41% and 32%); the sum of the re-calculated energy storage capacities is 39%, and the overlapping part is 1%-39% (excluding 32%)

[0125] The energy storage strategy corresponding to the maximum energy storage capacity in the period is taken as the optimal period energy storage strategy in the period.

[0126] Still taking the above as an example, 39% is taken as the optimal period energy storage strategy of the energy storage system from 8.00 to 9.00.

[0127] The first load balancing rate data and the second load data emphasize the load balancing of the sub-regions and the load balancing between the nodes, improve the safety of the power grid operation, and the first load balancing rate data and the second load data are used for double screening of the strategy again, thereby improving the confidence of the strategy.

[0128] Step S15, according to the optimal period energy storage strategies in several periods, the optimal energy storage strategy of the distributed photovoltaic energy storage system is obtained.

[0129] Specifically, the optimal period energy storage strategies in several periods are sorted in time sequence; the sorted optimal period energy storage strategies are taken as the optimal energy storage strategy of the distributed photovoltaic energy storage system, and the distributed photovoltaic energy storage system is controlled to store energy in sequence.

[0130] As described above, the present application obtains rich sample data from the coordinated whole and single part of the power distribution network by connecting different capacities to the target power distribution network and the minimum power distribution network, provides reliable basis for determining the energy storage strategy in the following, and improves the reliability of the strategy.

[0131] In the construction of the first power loss energy storage strategy, instead of constructing the maximum energy storage capacity of the distributed photovoltaic energy storage system connected to the target power distribution network, the construction is performed in the form of traversing the energy storage capacity, which fully restores the real scene as much as possible and improves the confidence of the strategy.

[0132] The first power loss energy storage strategy and the second power loss energy storage strategy reflect the overall limit and local limit of the target power distribution network, and improve the safety of the power distribution network through double screening.

[0133] The first load balancing rate data and the second load data emphasize the load balancing of the sub-regions and the load balancing between nodes, improve the safety of the power grid operation, and the first load balancing rate data and the second load data double-screen the strategy again, thereby improving the confidence of the strategy.

[0134] Based on the same inventive concept, the application provides a distributed photovoltaic energy storage system and grid control operation device as shown in the accompanying drawings. Figure 2 The application provides a distributed photovoltaic energy storage system and grid control operation device as shown in the accompanying drawings.

[0135] The first simulation module 21 is used for simulating first N-1 limit outage rate data of minimum power electronic islands and first load balancing rate data of minimum power electronic networks after different energy storage capacities of the distributed photovoltaic energy storage system are connected to the target power distribution network in each time period, wherein the target power distribution network comprises a plurality of minimum power electronic networks, and each minimum power electronic network comprises at least two minimum power electronic islands.

[0136] The second simulation module 22 is used for simulating second N-1 limit outage rate data of minimum power electronic islands and second load balancing rate data of the minimum power electronic network after different energy storage capacities of the distributed photovoltaic energy storage system are connected to each minimum power electronic network in each time period.

[0137] The first energy storage strategy module 23 is used for determining a plurality of energy storage strategies in the time period according to a plurality of first N-1 limit outage rate data and a plurality of second N-1 limit outage rate data in the time period.

[0138] The second energy storage strategy module 24 is used for screening a plurality of energy storage strategies in the time period according to a plurality of first load balancing rate data and a plurality of second load balancing rate data in the time period, to obtain an optimal time period energy storage strategy in the time period.

[0139] The optimal energy storage strategy module 25 is used for obtaining an optimal energy storage strategy of the distributed photovoltaic energy storage system according to optimal time period energy storage strategies in a plurality of time periods.

[0140] Based on the same inventive concept, the application further provides an electronic device, which comprises:

[0141] A processor;

[0142] A memory for storing processor-executable instructions;

[0143] The processor is configured to execute to implement the distributed photovoltaic energy storage system and grid control operation method provided in the foregoing.

[0144] Based on the same inventive concept, the application further provides a non-transitory computer readable storage medium, when instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform a distributed photovoltaic energy storage system and grid control operation method as provided in the foregoing.

[0145] Since the electronic device introduced in the embodiment is the electronic device used for implementing the information processing method in the embodiment of the application, based on the information processing method introduced in the embodiment of the application, those skilled in the art can understand the specific implementation of the electronic device in the embodiment and various changes thereof, so how the electronic device implements the method in the embodiment of the application is not introduced in detail here. As long as the electronic device used for implementing the information processing method in the embodiment of the application is implemented by those skilled in the art, it belongs to the scope of protection of the application.

[0146] Those skilled in the art should understand that the embodiments of the application can be provided as a method, a system, or a computer program product. Therefore, the application can adopt a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can adopt a computer program product in the form of being implemented on one or more computer usable storage media containing computer usable program codes (including but not limited to disk storage, CD-ROM, optical storage, etc.).

[0147] The application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device implemented in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that carries out the function specified in the flow or block.

[0148] These computer program instructions can also be stored in a computer readable storage medium that can direct the computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer readable storage medium produce a manufactured product including instruction apparatus, which implements the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that carries out the function specified in the flow or block.

[0149] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks.

[0150] While the preferred embodiments of the application have been described, it should be apparent that a little thought and experimentation can lead to the development of other techniques and procedures that are widely equivalent to those described but which fall within the broad scope of the application. Therefore, the following claims are intended to include all such modifications and variations as fall within the scope of the application.

[0151] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A method for controlling operation of a distributed photovoltaic energy storage system and a power grid, characterized in that, The method comprises the following steps: simulate the first N-1 limit outage rate data of the minimum power supply island and the first load balancing rate data of the minimum power supply network after the distributed photovoltaic energy storage system with different energy storage capacities is connected to the target power distribution network in each time period, wherein the target power distribution network comprises a plurality of minimum power supply networks, and each minimum power supply network comprises at least two minimum power supply islands, wherein the N-1 limit outage rate refers to: if a certain outgoing switch fails and the fault of the outgoing switch affects the load and cannot be completely transferred, the load needs to be shed, the shed load is the N-1 limit outage load of the sub-island, and the ratio of the N-1 limit outage load of the sub-island to the total load affected by the fault is the N-1 limit outage rate; simulate the second N-1 limit outage rate data of the minimum power supply island and the second load balancing rate data of the minimum power supply network after the distributed photovoltaic energy storage system with different energy storage capacities is connected to each minimum power supply network in each time period; determine a plurality of energy storage strategies in the time period according to a plurality of first N-1 limit outage rate data and a plurality of second N-1 limit outage rate data in the time period; screen the plurality of energy storage strategies in the time period according to a plurality of first load balancing rate data and a plurality of second load balancing rate data in the time period to obtain an optimal time period energy storage strategy in the time period; obtain an optimal energy storage strategy of the distributed photovoltaic energy storage system according to the optimal time period energy storage strategies in a plurality of time periods.

2. The method of claim 1, wherein the method further comprises: According to the plurality of first N-1 limit outage rate data and the plurality of second N-1 limit outage rate data in the time period, a plurality of energy storage strategies in the time period are determined, which comprises: in the context of the distributed photovoltaic energy storage system with different energy storage capacities connected to the target power distribution network in each time period: if the first N-1 limit outage rate data of each minimum power supply island of the target power distribution network connected to the energy storage capacity in the time period is not greater than 0, the energy storage capacity is taken as a first outage energy storage strategy in the time period, and a plurality of first outage energy storage strategies are obtained; in the context of the distributed photovoltaic energy storage system with different energy storage capacities connected to the minimum power supply network in each time period: determine the energy storage capacity corresponding to the condition that the second N-1 limit outage rate data of the minimum power supply island in the minimum power supply network connected to the different energy storage capacities in the time period are all less than or equal to 0; sum the maximum value of the energy storage capacity corresponding to the condition that the second N-1 limit outage rate data of the minimum power supply island in each minimum power supply network in the time period are all less than or equal to 0 to obtain the sum of the energy storage capacities; take the energy storage capacity below the sum of the energy storage capacities as a second outage energy storage strategy in the time period; determine a plurality of energy storage strategies in the time period according to the plurality of first outage energy storage strategies and the plurality of second outage energy storage strategies.

3. The method of claim 2, wherein the method further comprises: Determine a plurality of energy storage strategies in the time period according to the plurality of first outage energy storage strategies and the plurality of second outage energy storage strategies, which comprises: take the overlapping part of the plurality of first outage energy storage strategies and the plurality of second outage energy storage strategies as the plurality of energy storage strategies in the time period.

4. The method of claim 2, wherein the method further comprises: According to the first load balancing rate data and the second load balancing rate data of the time period, the optimal time period energy storage strategy of the time period is obtained, including: In the context of different energy storage capacities of the distributed photovoltaic energy storage system connected to the target power distribution network in each time period: If the first load balancing rate data of the minimum power electronic island after the target power distribution network connects to the energy storage capacity in the time period is greater than the preset load balancing rate threshold, and there is an energy storage strategy corresponding to the energy storage capacity, the energy storage strategy is excluded; In the context of different energy storage capacities of the distributed photovoltaic energy storage system connected to the minimum power electronic network in each time period: If the second load balancing rate data of the minimum power electronic network after the minimum power electronic network connects to different energy storage capacities in the time period is greater than the preset load balancing rate threshold, the sum of the energy storage capacities is recalculated when the second load balancing rate of the minimum power electronic network is equal to the preset load balancing rate threshold, and the energy storage strategy is updated with the recalculated sum of the energy storage capacities. The energy storage strategy corresponding to the maximum energy storage capacity in the time period is taken as the optimal time period energy storage strategy in the time period.

5. The method of claim 4, wherein the method further comprises: The energy storage strategy is updated with the recalculated sum of the energy storage capacities, including: The part of the recalculated energy storage capacity overlapping with the energy storage capacity corresponding to the energy storage strategy is taken as the updated energy storage strategy in the time period.

6. The method of claim 1, wherein the method further comprises: The N-1 limit outage rate of the minimum power electronic island includes: wherein, N-1 limit outage rate of the minimum distribution electronic island, load current of the minimum distribution electronic island, power switch load current through the first minimum distribution electronic island, power switch load current through the first minimum distribution electronic island, number of sub-islands contained in the minimum distribution electronic island.

7. The method of claim 1, wherein the method further comprises: According to the optimal time period energy storage strategies in the time periods, the optimal energy storage strategy of the distributed photovoltaic energy storage system is obtained, including: The optimal time period energy storage strategies in the time periods are sorted in chronological order; The sorted optimal time period energy storage strategies are taken as the optimal energy storage strategy of the distributed photovoltaic energy storage system, and the distributed photovoltaic energy storage system is controlled to store energy in sequence.

8. A distributed photovoltaic energy storage system and grid control operation device, characterized in that, The distributed photovoltaic energy storage system and grid control operation method of any one of claims 1-7, including: A first simulation module for simulating the first N-1 limit outage rate data of the minimum power electronic island and the first load balancing rate data of the minimum power electronic network after the target power distribution network connects to different energy storage capacities of the distributed photovoltaic energy storage system in each time period, wherein the target power distribution network includes a plurality of minimum power electronic networks, and each minimum power electronic network includes at least two minimum power electronic islands; A second simulation module for simulating the second N-1 limit outage rate data of the minimum power electronic island and the second load balancing rate data of the minimum power electronic network after each minimum power electronic network connects to different energy storage capacities of the distributed photovoltaic energy storage system in each time period; A first energy storage strategy module for determining a plurality of energy storage strategies in a time period according to the first N-1 limit outage rate data and the second N-1 limit outage rate data in the time period; A second energy storage strategy module for screening a plurality of energy storage strategies in a time period according to the first load balancing rate data and the second load balancing rate data in the time period, and obtaining the optimal time period energy storage strategy in the time period; An optimal energy storage strategy module is configured to obtain an optimal energy storage strategy of the distributed photovoltaic energy storage system according to optimal time period energy storage strategies in a plurality of time periods.

9. An electronic device, comprising: The method comprises the following steps: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to execute to implement the method of any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, comprising: When the instructions in the non-transitory computer-readable storage medium are executed by the processor of the electronic device, the electronic device is enabled to implement the method of any one of claims 1 to 7.

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