Cooperative alliance-based rural micro-grid light storage collaborative configuration method and device

Abstract

The invention provides a cooperative alliance-based rural micro-grid optical storage cooperative configuration method and device, which is suitable for the technical field of power systems, and comprises the following steps: obtaining an optical storage information set of each rural micro-grid in a target cooperative alliance; determining a supply-demand ratio of the target cooperation alliance based on all the optical storage information sets; constructing an upper-layer capacity configuration model based on all the light storage information sets, and constructing a lower-layer daily operation scheduling model based on the supply-demand ratio of each rural microgrid and all the light storage information sets; and obtaining a daily operation scheduling strategy of the target cooperative alliance based on the micro-grid information set, the upper-layer capacity configuration model and the lower-layer daily operation scheduling model, and obtaining an optical storage cooperative configuration scheme of the target cooperative alliance based on the daily operation scheduling strategy. According to the method, the constraint condition is obtained through the light storage information set of the rural micro-grids, the light storage collaborative configuration scheme of the cooperative alliance formed by the rural micro-grids is further obtained, and the matching degree of the light storage collaborative configuration scheme and the rural micro-grids is effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and in particular to a method and device for cooperative alliance-based rural microgrid photovoltaic storage collaborative configuration. Background Art

[0002] At present, rural areas are still relatively weak in my country's economic and social development. With the continuous deepening of my country's beautiful countryside construction, infrastructure construction and public service level improvement in rural areas have become important tasks. Combining the rich new energy resources in rural areas, the use of microgrid technology to reasonably configure the capacity of distributed power generation and energy storage systems is an important way to improve the power supply reliability and economic operation of rural distribution networks.

[0003] Most existing studies consider distributed renewable energy and shared energy storage, and propose independent planning and design optimization configuration solutions for microgrids in specific scenarios. For example, a microgrid system planning and design model based on double-layer optimization uses the optimal configuration of the comprehensive target calculation system for the upper optimization layer, and mixed integer linear programming for the lower optimization layer. This power configuration method has improved the level of renewable energy consumption and distribution network power supply reliability to a certain extent.

[0004] However, there are still some shortcomings in existing research. Research on shared energy storage mainly focuses on the grid side, source side and related application scenarios, and there is a lack of research on the coordinated configuration of distributed photovoltaics and shared energy storage in rural areas. Summary of the invention

[0005] The embodiment of the present invention provides a rural microgrid photovoltaic storage collaborative configuration method and device based on a cooperative alliance to solve the problem that the existing shared energy storage solution is not compatible with the rural microgrid.

[0006] The present invention is achieved through the following technical solutions: In a first aspect, an embodiment of the present invention provides a rural microgrid photovoltaic storage collaborative configuration method based on a cooperative alliance, comprising: Obtain the photovoltaic and storage information set of each rural microgrid in the target cooperative alliance; Determine the supply-demand ratio of the target cooperative alliance based on all the solar-storage information sets; Based on all PV-storage information sets, the upper-level capacity configuration model is constructed with the goal of minimizing the total cost, and based on the supply-demand ratio of each rural microgrid and all PV-storage information sets, the lower-level daily operation scheduling model is constructed with the goal of minimizing the daily operation cost; Based on the microgrid information set, the upper-layer capacity configuration model and the lower-layer daily operation scheduling model, the daily operation scheduling strategy of the target cooperative alliance is obtained, and based on the daily operation scheduling strategy, the photovoltaic storage collaborative configuration plan of the target cooperative alliance is obtained.

[0007] In a second aspect, an embodiment of the present invention provides a rural microgrid photovoltaic storage collaborative configuration device based on a cooperative alliance, comprising: An acquisition module, used to obtain the photovoltaic storage information set of each rural microgrid in the target cooperative alliance; A determination module, used to determine the supply-demand ratio of the target cooperative alliance based on all the optical storage information sets; A construction module is used to construct an upper-level capacity configuration model based on all PV-storage information sets with the goal of minimizing total cost, and to construct a lower-level daily operation scheduling model based on the supply-demand ratio of each rural microgrid and all PV-storage information sets with the goal of minimizing daily operation cost; The configuration module is used to obtain the daily operation scheduling strategy of the target cooperative alliance based on the microgrid information set, the upper-level capacity configuration model and the lower-level daily operation scheduling model, and obtain the photovoltaic storage collaborative configuration plan of the target cooperative alliance based on the daily operation scheduling strategy.

[0008] The embodiment of the present invention provides a method and device for the photovoltaic-storage collaborative configuration of rural microgrids based on a cooperative alliance, obtains the supply-demand ratio of the target cooperative alliance through a photovoltaic-storage information set, and constructs an upper-level capacity configuration model with the lowest total cost as the goal, and constructs a lower-level daily operation scheduling model with the lowest daily operation cost as the goal, and with the supply-demand ratio and the data in the remaining photovoltaic-storage information set as constraints, and obtains the daily operation scheduling strategy of the target cooperative alliance based on these data and models, and extracts the photovoltaic-storage collaborative configuration scheme from the daily operation scheduling strategy. This application obtains a photovoltaic-storage collaborative configuration scheme for a target cooperative alliance composed of multiple rural microgrids based on the photovoltaic-storage information set of each rural microgrid, and has a high adaptability to rural microgrids. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0010] Figure 1 It is a flow chart of a rural microgrid photovoltaic storage collaborative configuration method based on a cooperative alliance provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of a target cooperative alliance of a rural microgrid photovoltaic storage collaborative configuration method based on a cooperative alliance provided by an embodiment of the present invention; Figure 3 It is a flow chart of a rural microgrid photovoltaic storage collaborative configuration method based on a cooperative alliance provided by an embodiment of the present invention; Figure 4It is a schematic diagram of the whole process of a method for cooperative alliance-based rural microgrid photovoltaic storage collaborative configuration provided by an embodiment of the present invention; Figure 5 It is a structural schematic diagram of a rural microgrid photovoltaic storage collaborative configuration device based on a cooperative alliance provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0011] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0012] Figure 1 This is a flow chart of a method for cooperatively configuring a rural microgrid photovoltaic storage system based on a cooperative alliance according to an embodiment of the present invention. Figure 1 , the method is described in detail as follows: S110, obtaining a photovoltaic storage information set of each rural microgrid in the target cooperative alliance.

[0013] In one possible implementation, the target cooperation alliance includes centralized shared energy storage and multiple rural microgrids; the rural microgrids include loads, distributed photovoltaics and decentralized shared energy storage.

[0014] See also Figure 2 The target cooperation alliance can include centralized shared energy storage, multiple rural microgrids, microgrid aggregators and microgrid operators; the rural microgrid includes loads, distributed photovoltaics and decentralized shared energy storage.

[0015] Among them, the photovoltaic storage information set includes the corresponding microgrid load power, photovoltaic output power, network loss rate, photovoltaic configuration cost, distributed energy storage configuration cost, distributed energy storage configuration capacity, distributed energy storage power configuration cost coefficient and capacity configuration cost coefficient, photovoltaic and distributed energy storage maintenance costs and other information.

[0016] When forming a target cooperation alliance, the distributed energy storage within the rural microgrid is uniformly deployed to turn the distributed energy storage into shared energy storage, which can avoid waste of resources and improve energy utilization.

[0017] like Figure 3 As shown, this application can achieve power mutual assistance between different rural microgrids through the services provided by energy storage suppliers and energy storage operators.

[0018] S120, determining a supply-demand ratio of a target cooperative alliance based on all optical storage information sets.

[0019] In one possible implementation, the supply-demand ratio of the target cooperative alliance is determined based on all photovoltaic storage information sets, including: for each rural microgrid, based on the photovoltaic storage information set of the rural microgrid, the power demand of the rural microgrid is obtained, and the participation type of the rural microgrid is determined based on the power demand; based on the participation type of each rural microgrid, the demand power and supply power of each rural microgrid are determined; based on the supply power and demand power of all rural microgrids, the supply-demand ratio of the target cooperative alliance is determined.

[0020] Among them, it is necessary to determine the power demand and power supply of the rural microgrid based on the photovoltaic storage information set, and determine the power shortage based on the power demand and power supply. The formula for determining the power shortage is as follows:

[0021] in, For the i Rural microgrids in t The power shortage at the moment, For the i Rural microgrids in t The microgrid load power at the moment is also the power demand. For the i Rural microgrids in t The photovoltaic output at a given moment, that is, the power supply.

[0022]

[0023] in, For the i Rural microgrids in t The upper limit of the output power at the moment, For the i Rural microgrids in t The lower limit of the available power at the time, For the i Rural microgrid distributed energy storage t -1 moment of charge state, For the i Minimum state of charge of distributed energy storage in rural microgrids, For the i The maximum state of charge of distributed energy storage in a rural microgrid, For the i The energy storage configuration capacity of the distributed energy storage of a rural microgrid, For the i Distributed energy storage charging and discharging efficiency of a rural microgrid, The unit time period.

[0024] Rural microgrids can be divided into four categories according to different power requirements: Category 1: ; Rural microgrids have a power demand shortage, and the power supply of their own distributed shared energy storage cannot meet the power demand. There is a shortage of power demand externally. The participant user 1 model is established:

[0025] in, For the i Rural microgrids in t The power demand at the moment, For the i Rural microgrids in t Power supply at all times, For the i The maximum value of the distributed energy storage discharge power of a rural microgrid, For the i Decentralized backup energy storage power for a rural microgrid.

[0026] Category 2: ; Rural microgrids have a power demand shortage, and the power supply of their own distributed shared energy storage meets the power demand. There is no power interaction with the outside world, so they can be used as output resources to establish a participant user 2 model:

[0027] Category 3: ; Rural microgrids have excess power supply, and their own distributed shared energy storage can store excess power supply. There is no power interaction with the outside world, so they can be used as loads to establish a participant user 3 model:

[0028] Category 4: ; There is an oversupply of power in rural microgrids, and their own distributed shared energy storage cannot store the excess power supply. There is an excess power supply to the outside world. A participant user 4 model is established:

[0029] According to the power demand and power supply of all rural microgrids, the total power demand and total power supply of the target cooperative alliance can be determined:

[0030] in, is the total power demand of the target cooperative alliance, Total power supply for the target cooperative alliance.

[0031] According to the above total power demand and total power supply, we can get the target cooperation alliance t The supply-demand ratio at the moment is:

[0032] in, For the purpose of cooperation alliance t The supply-demand ratio at the moment, is the network loss rate of the target cooperative alliance, which is used to indicate the loss of electric energy during transmission.

[0033] The size of the supply-demand ratio depends not only on the capacity of the demand pool and the supply pool, but also on the network loss rate. The higher the network loss rate, the more storage capacity is required to meet the same power demand. Depending on the supply-demand ratio, the supply and demand matching of shared energy storage can be divided into two situations: (1) When the distributed energy storage is in short supply, the supply of each distributed energy storage will fully respond, and the load demand of each microgrid participant in the cooperative alliance will be met according to the supply-demand ratio:

[0034] in, For the i Rural microgrids in t The load demand that is actually met at any given moment, For the i Rural microgrids in t The energy storage output demand is actually met at all times.

[0035] (2) When the distributed energy storage supply exceeds the demand or the supply and demand are equal, all energy storage output demands are responded to, and the energy storage supply of each microgrid participant in the cooperative alliance is based on the power they reported. feedback:

[0036] In the process of energy storage supply and demand matching, the participants who are given priority in supply and demand matching are user 1 and user 4, whose energy storage has no backup and no flexible adjustment space. However, user 2 and user 3 have a certain backup capacity in energy storage, which can be used as an adjustment resource to respond to the needs and supply shortages of other users. If there is centralized shared energy storage in the target cooperative alliance, its capacity is classified as adjustable. and middle.

[0037] S130, based on all PV-storage information sets, with the goal of minimizing total cost, construct an upper-level capacity configuration model, and based on the supply-demand ratio of each rural microgrid and all PV-storage information sets, construct a lower-level daily operation scheduling model with the goal of minimizing daily operation cost.

[0038] In one possible implementation, an upper-level capacity configuration model is constructed based on all photovoltaic and storage information sets with the lowest total cost, including: obtaining the configuration information set of each rural microgrid based on all photovoltaic and storage information sets, and determining the configuration cost, maintenance cost and operating cost of the target cooperative alliance based on all configuration information sets; and determining the objective function of the upper-level capacity configuration model based on the configuration cost, the maintenance cost and the operating cost.

[0039] Optionally, all configuration information sets include all parameters related to the configuration information that need to be used in the calculation process, such as configuration power, configuration cost coefficient, configuration capacity, etc.

[0040] In a possible implementation, the determining of the configuration cost, maintenance cost, and operation cost of the target cooperative alliance based on all configuration information sets includes: the configuration cost is:

[0041] in, is the configuration power of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The configuration power of distributed shared energy storage, The configuration capacity of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The configuration capacity of distributed shared energy storage, is the power configuration cost coefficient of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The power configuration cost coefficient of a distributed shared energy storage, The capacity configuration cost coefficient of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The capacity configuration cost coefficient of a distributed shared energy storage, For the target cooperation alliance m The configuration power of distributed photovoltaic Assign cost coefficients to distributed PV power; The maintenance costs are:

[0042]

[0043]

[0044] in, is the initial configuration cost of all distributed photovoltaics, The number of times distributed photovoltaic equipment needs to be replaced, The engineering life of distributed photovoltaic equipment, r is the discount rate for distributed photovoltaics; The operating costs are:

[0045]

[0046] in, is the annual operation and maintenance cost of the target cooperative alliance, is the fixed maintenance cost coefficient of energy storage of the target alliance, is the variable maintenance cost coefficient of energy storage of the target alliance, is the photovoltaic maintenance cost coefficient of the target alliance, Centralized energy storage in the alliance for the stated purpose t The charging active power at the moment, Centralized energy storage in the alliance for the stated purpose t The discharge active power at the moment, is the photovoltaic unit operation and maintenance cost of the target cooperative alliance, is the unit operation and maintenance cost of energy storage of the target cooperative alliance, This is the project configuration period. is the number of days of common energy storage operation in a year, is the number of microgrids, The scheduling duration.

[0047] Among them, the objective function of the upper capacity configuration model is:

[0048] in, To minimize the total cost during the configuration period, The daily operating cost of the target cooperative alliance.

[0049] In one possible implementation, based on the supply-demand ratio of each rural microgrid and all photovoltaic storage information sets, a lower-level daily operation scheduling model is constructed with the lowest daily operation cost, including: determining the objective function of the lower-level daily operation scheduling model with the lowest daily operation cost of the target cooperative alliance as the goal; determining the constraints of the lower-level daily operation scheduling model based on the supply-demand ratio and all photovoltaic storage information sets; and obtaining the lower-level daily operation scheduling model based on the objective function of the lower-level daily operation scheduling model and the constraints of the lower-level daily operation model.

[0050] Optionally, the objective function of the lower-level daily operation scheduling model is:

[0051] in, is the goal of the lower-level daily operation scheduling model, that is, the daily operation cost of the target cooperative alliance is the lowest. is the daily operating cost of the target cooperative alliance, is the difference between the online shopping cost and the electricity sales revenue of the target cooperative alliance, is the abandoned light cost of the target cooperative alliance, Subsidy for photovoltaic power generation for the target cooperative alliance.

[0052] The cost of electricity purchase and sale of rural microgrids, that is, the difference between the cost of electricity purchase from the distribution network and the income from electricity sales of rural microgrids is:

[0053] in, For the m Rural microgrids in t The power purchased at the time, For the m Rural microgrids in t The electricity sales power at the time.

[0054] The cost of abandoned light is the deviation between the actual output and the predicted output of distributed photovoltaic in rural microgrids:

[0055] in, For the m Rural microgrids in t The prediction output of the moment, For the m Rural microgrids in t Actual effort at all times.

[0056] Photovoltaic power generation financial subsidies, project configuration period is The calculation method for the PV subsidy in 2018 is:

[0057] in, For the Annual photovoltaic power generation subsidies.

[0058] Optionally, the constraints of the lower-level daily operation scheduling model are: The upper and lower limits of energy storage output are:

[0059]

[0060]

[0061]

[0062]

[0063] The photovoltaic related constraints are: Photovoltaic output is related to the light intensity curve and photovoltaic installed capacity. Its output is:

[0064]

[0065] In addition, in order to meet the demand for photovoltaic development and absorption in rural distribution networks, the lower limit of photovoltaic absorption rate is set as :

[0066] The target cooperative alliance constraints are: Hypothetical target alliance U Internal N According to the supply-demand ratio and the corresponding rural microgrid type, the first i Rural microgrids t The actual external output at any time is:

[0067]

[0068]

[0069]

[0070] Among them, N Ⅰ 、N Ⅱ 、N Ⅲ 、N Ⅳ Rural microgrids are divided into four categories according to different power requirements.

[0071] No.i The actual SOC dynamic change of the distributed energy storage of a rural microgrid is:

[0072]

[0073] in, For the i Decentralized Energy Storage for Rural Microgrids t State of charge at all times, For the i Decentralized Energy Storage for Rural Microgrids i Rated capacity.

[0074] The emergency backup safety constraints of rural microgrids are: In order to ensure the safety of power supply for important loads in rural microgrids in emergency situations, a certain amount of spare capacity is reserved for distributed energy storage in each rural microgrid:

[0075]

[0076]

[0077] in, is the spare capacity, is the active power of important loads, is the important load proportional coefficient, For the i The state of charge of the distributed energy storage in a rural microgrid, For the i Minimum state of charge of distributed energy storage in a rural microgrid.

[0078] The system security constraints are: In order to ensure the safe and economical operation of the distribution network, the voltage amplitude of all nodes in the distribution network and the power returned to the upper grid are restricted:

[0079]

[0080] in, is the lower limit of node voltage, for t The node voltage value at the moment, is the upper limit of node voltage, for t The transmission power transmitted from the upper power grid to the distribution network at any moment.

[0081] S140, based on the microgrid information set, the upper-layer capacity configuration model and the lower-layer daily operation scheduling model, the daily operation scheduling strategy of the target cooperative alliance is obtained, and based on the daily operation scheduling strategy, the photovoltaic storage collaborative configuration plan of the target cooperative alliance is obtained.

[0082] Optionally, the photovoltaic-storage collaborative configuration scheme is a photovoltaic-storage configuration scheme for daily operation, which includes the configuration scheme of distributed photovoltaics and distributed shared energy storage in each rural microgrid and the centralized shared energy storage of the target cooperative alliance.

[0083] In a possible implementation, the daily operation scheduling strategy of the target cooperative alliance is obtained based on the microgrid information set, the upper-layer capacity configuration model and the lower-layer daily operation scheduling model, and the photovoltaic storage collaborative configuration scheme of the target cooperative alliance is obtained based on the daily operation scheduling strategy, including: adjusting the capacity configuration of each distributed photovoltaic and shared energy storage in the target cooperative alliance based on the microgrid information set and the upper-layer capacity configuration model; iteratively generating the daily operation scheduling strategy of the target cooperative alliance based on the lower-layer daily operation scheduling model, and performing data extraction based on the daily operation scheduling strategy to obtain the photovoltaic storage collaborative configuration scheme of the target cooperative alliance.

[0084] In one possible implementation, the method further includes: for each rural microgrid, performing the following steps: based on the photovoltaic storage information set of the rural microgrid, obtaining the shared energy storage usage information and electrical parameters of the rural microgrid; inputting the shared energy storage usage information and the electrical parameters into a power loss calculation formula to obtain the power loss of the rural microgrid; determining the weight of the microgrid based on the power loss, and obtaining the income allocated to the rural microgrid based on the weight.

[0085] In one possible implementation, for each rural microgrid, the weight of the microgrid is determined based on the power loss, and the income allocated to the rural microgrid is obtained based on the weight, including: based on the power loss of each rural microgrid, determining the total power loss of the target cooperative alliance; for each rural microgrid, based on the power loss of the rural microgrid and the total power loss, obtaining the weight of the rural microgrid, and replacing the initial weight in the preset income allocation algorithm with the weight to obtain the income allocated to the rural microgrid.

[0086] Optionally, the preset algorithm for allocating income is the Shapley value method. The traditional Shapley value is an allocation method based on marginal contribution, as shown in the following formula:

[0087] in, The benefits allocated to participant i; NA grand alliance for all involved; n is the number of participants in the major league; S For the major leagues N Any minor league in the inner circle; For the Alliance S The number of participants in the For the Alliance S The electricity saving benefits; For the Alliance S Remove Participants i The subsequent electricity saving benefits.

[0088] The traditional Shapley value profit distribution ignores the differences of each individual within the alliance and cannot meet the actual needs of each participant within the alliance. Within the target cooperative alliance, the power loss generated by each microgrid member using distributed shared energy storage and centralized shared energy storage is different, so the actual power available for consumption and sales is also different. In order to increase the enthusiasm of rural microgrids to participate in cooperative alliances, the impact of power loss needs to be considered in the profit distribution process.

[0089] According to the equivalent resistance method, suppose the shared energy storage node k Flow into alliance member nodes i That is i The apparent power of a rural microgrid is S , the power loss is:

[0090] in, is the power loss, For users i Using shared energy storage k time, n For Members i The total amount of shared energy storage used in the cooperative alliance, For Node i The line voltage, For Node i With Node k The equivalent resistance value of the line between them.

[0091] Rural microgrid construction i The new weight for:

[0092] Rural Microgrid i The difference between the new weight and the old weight is:

[0093] Using the weight difference to adjust the annual electricity saving income distribution, we get:

[0094] in, The distribution result of the electricity saving benefits of the microgrid is calculated after the weights in the Shapley value method are improved by power loss.

[0095] In addition, the concept of excess degree in the kernel method can be introduced to characterize the satisfaction of each alliance member with the allocation plan. S To the Major League N By allocation plan x Excess e ( S , x ) is expressed as follows:

[0096] in, For the Alliance S Join the big leagues N Total income of all former members, For the Alliance S The total income of all members after joining the Grand Alliance N. Excess e ( S , x ) indicates alliance S With the major leagues N The difference between the profit before and after. The smaller the excess, the more likely the alliance S Allocation plan x The higher the satisfaction.

[0097] Therefore, satisfaction can be defined as:

[0098] Right now h ( S , x ) The larger the alliance S The higher the satisfaction with the allocation plan x, the higher the contribution index w ( S ), representing the alliance S In the major leagues N The degree of contribution in .

[0099]

[0100] Finally, the comprehensive evaluation index of the allocation scheme is obtained p ( x )for:

[0101] See also Figure 4, this application can be divided into configuration layer, scheduling layer and game layer. Among them, the configuration layer is used to obtain data related to the distribution network and rural microgrid, and initialize the data, and then calculate the data through the capacity configuration model, and perform extreme value calculation after obtaining the operating cost of the daily operation scheduling strategy. After the calculation is completed, the speed, position, fitness function value, extreme value and other information required for the model calculation are updated to determine whether the iteration reaches the termination condition.

[0102] The scheduling layer is used to input the current relevant data after the calculation of the upper-level capacity configuration model is completed, and determine the rural microgrids participating in the photovoltaic and energy storage scheduling, determine the constraints based on the voltage quality of the distribution network, and further constrain them based on the supply-demand ratio. With the minimum daily operating cost as the goal, a daily operation scheduling model is established, and the corresponding operating cost is obtained, and the operating cost is fed back to the extreme value calculation step of the configuration layer.

[0103] The game layer is used to adjust the profit distribution according to the daily operation scheduling strategy and the photovoltaic storage coordinated configuration plan, combined with the power loss. At the same time, it is also necessary to consider the contractual agreements of distributed photovoltaics, distributed energy storage in each rural microgrid and centralized shared energy storage of the target cooperative alliance to share the costs.

[0104] This application obtains the supply-demand ratio of the target cooperative alliance through the photovoltaic-storage information set, and constructs an upper-level capacity configuration model with the lowest total cost as the goal, and constructs a lower-level daily operation scheduling model with the lowest daily operation cost as the goal, and with the supply-demand ratio and the data in the remaining photovoltaic-storage information set as constraints. Based on these data and models, the daily operation scheduling strategy of the target cooperative alliance is obtained, and the photovoltaic-storage collaborative configuration scheme is extracted from the daily operation scheduling strategy. After obtaining the photovoltaic-storage collaborative configuration scheme, the weight of the rights and interests distribution is adjusted according to the power loss. This application obtains the photovoltaic-storage collaborative configuration scheme of the target cooperative alliance composed of multiple rural microgrids based on the photovoltaic-storage information set of each rural microgrid, which can share electricity with the distributed energy storage of the rural microgrid, improve the utilization rate of energy, and adjust the proportion of rights and interests distribution according to the power loss, thereby improving the fairness of the rights and interests distribution.

[0105] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0106] Corresponding to the rural microgrid photovoltaic storage collaborative configuration method based on cooperative alliance described in the above embodiment, Figure 5 A schematic diagram of the structure of a rural microgrid photovoltaic storage collaborative configuration device based on a cooperative alliance provided in an embodiment of the present invention is shown. For the sake of ease of explanation, only the parts related to the embodiment of the present invention are shown.

[0107] See also Figure 5 The rural microgrid photovoltaic storage collaborative configuration device 5 based on cooperative alliance in the embodiment of the present invention may include: An acquisition module 51 is used to acquire a photovoltaic storage information set of each rural microgrid in the target cooperative alliance; A determination module 52, for determining a supply-demand ratio of a target cooperative alliance based on all optical storage information sets; A construction module 53 is used to construct an upper-level capacity configuration model based on all PV-storage information sets with the goal of minimizing total cost, and to construct a lower-level daily operation scheduling model based on the supply-demand ratio of each rural microgrid and all PV-storage information sets with the goal of minimizing daily operation cost; The configuration module 54 is used to obtain the daily operation scheduling strategy of the target cooperative alliance based on the microgrid information set, the upper-level capacity configuration model and the lower-level daily operation scheduling model, and obtain the photovoltaic storage collaborative configuration plan of the target cooperative alliance based on the daily operation scheduling strategy.

[0108] In one possible implementation, the target cooperation alliance includes centralized shared energy storage and multiple rural microgrids; the rural microgrids include loads, distributed photovoltaics and decentralized shared energy storage.

[0109] In one possible implementation, the determination module 52 is specifically used to: for each rural microgrid, based on the photovoltaic storage information set of the rural microgrid, obtain the power demand of the rural microgrid, and determine the participation type of the rural microgrid based on the power demand; based on the participation type of each rural microgrid, determine the demand power and supply power of each rural microgrid; based on the supply power and demand power of all rural microgrids, determine the supply and demand ratio of the target cooperative alliance.

[0110] In a possible implementation, the construction module 53 is specifically used to: determine the configuration cost, maintenance cost and operation cost of the target cooperative alliance based on all configuration information sets, including: the configuration cost is:

[0111] in, is the configuration power of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The configuration power of distributed shared energy storage, The configuration capacity of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The configuration capacity of distributed shared energy storage, is the power configuration cost coefficient of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The power configuration cost coefficient of a distributed shared energy storage, The capacity configuration cost coefficient of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The capacity configuration cost coefficient of a distributed shared energy storage, For the target cooperation alliance m The configuration power of distributed photovoltaic Assign cost coefficients to distributed PV power; The maintenance costs are:

[0112]

[0113]

[0114] in, is the initial configuration cost of all distributed photovoltaics, The number of times distributed photovoltaic equipment needs to be replaced, The engineering life of distributed photovoltaic equipment, r is the discount rate for distributed photovoltaics; The operating costs are:

[0115]

[0116] in, is the annual operation and maintenance cost of the target cooperative alliance, is the fixed maintenance cost coefficient of energy storage of the target alliance, is the variable maintenance cost coefficient of energy storage of the target alliance, is the photovoltaic maintenance cost coefficient of the target alliance, Centralized energy storage in the alliance for the stated purpose t The charging active power at the moment, Centralized energy storage in the alliance for the stated purpose t The discharge active power at the moment, is the photovoltaic unit operation and maintenance cost of the target cooperative alliance, is the unit operation and maintenance cost of energy storage of the target cooperative alliance, This is the project configuration period. is the number of days of common energy storage operation in a year, is the number of microgrids, The scheduling duration.

[0117] Among them, the objective function of the upper capacity configuration model is:

[0118] in, To minimize the total cost during the configuration period, The daily operating cost of the target cooperative alliance.

[0119] In one possible implementation, the construction module 53 is also used to determine the objective function of the lower-level daily operation scheduling model with the goal of minimizing the daily operation cost of the target cooperative alliance; determine the constraints of the lower-level daily operation scheduling model based on the supply-demand ratio and all light-storage information sets; and obtain the lower-level daily operation scheduling model based on the objective function of the lower-level daily operation scheduling model and the constraints of the lower-level daily operation model.

[0120] In one possible implementation, the configuration module 54 is specifically used to adjust the capacity configuration of each distributed photovoltaic and shared energy storage in the target cooperative alliance based on the microgrid information set and the upper-level capacity configuration model; iteratively generate the daily operation scheduling strategy of the target cooperative alliance based on the lower-level daily operation scheduling model, and perform data extraction based on the daily operation scheduling strategy to obtain the photovoltaic storage collaborative configuration plan of the target cooperative alliance.

[0121] In one possible implementation, the configuration module 54 is also used to perform the following steps for each rural microgrid: based on the photovoltaic storage information set of the rural microgrid, obtain the shared energy storage usage information and electrical parameters of the rural microgrid; input the shared energy storage usage information and the electrical parameters into the power loss calculation formula to obtain the power loss of the rural microgrid; determine the weight of the microgrid based on the power loss, and obtain the income allocated to the rural microgrid based on the weight.

[0122] In one possible implementation, the configuration module 54 is also used to determine the total power loss of the target cooperative alliance based on the power loss of each rural microgrid; for each rural microgrid, the weight of the rural microgrid is obtained based on the power loss of the rural microgrid and the total power loss, and the initial weight in the preset profit distribution algorithm is replaced with the weight to obtain the profit distributed by the rural microgrid.

[0123] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0124] Those of ordinary skill in the art will appreciate that the templates, units, and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0125] If the module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned embodiments of the rural microgrid photovoltaic storage collaborative configuration method based on the cooperative alliance. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal and software distribution medium.

[0126] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A rural microgrid photovoltaic storage collaborative configuration method based on cooperative alliance, characterized in that: include: Obtain the photovoltaic and storage information set of each rural microgrid in the target cooperative alliance; Determining the supply-demand ratio of the target cooperative alliance based on all the solar-storage information sets; Based on all the photovoltaic storage information sets, an upper-level capacity configuration model is constructed with the goal of minimizing the total cost, and based on the supply-demand ratio of each rural microgrid and all the photovoltaic storage information sets, a lower-level daily operation scheduling model is constructed with the lowest daily operation cost; Based on the microgrid information set, the upper-layer capacity configuration model and the lower-layer daily operation scheduling model, the daily operation scheduling strategy of the target cooperative alliance is obtained, and based on the daily operation scheduling strategy, the photovoltaic storage collaborative configuration plan of the target cooperative alliance is obtained.

2. The rural microgrid photovoltaic storage collaborative configuration method based on cooperative alliance as claimed in claim 1, characterized in that: The determining the supply-demand ratio of the target cooperative alliance based on all the solar energy storage information sets includes: For each rural microgrid, based on the photovoltaic storage information set of the rural microgrid, the power demand of the rural microgrid is obtained, and based on the power demand, the participation type of the rural microgrid is determined; Based on the participation type of each rural microgrid, determine the demand power and supply power of each rural microgrid; Based on the supply power and demand power of all rural microgrids, the supply-demand ratio of the target cooperative alliance is determined.

3. The rural microgrid photovoltaic storage collaborative configuration method based on cooperative alliance as claimed in claim 1, characterized in that: The upper layer capacity configuration model is constructed based on all the optical storage information sets with the lowest total cost, including: Based on all the photovoltaic and energy storage information sets, a configuration information set of each rural microgrid is obtained, and based on all the configuration information sets, a configuration cost, a maintenance cost, and an operation cost of the target cooperative alliance are determined; An objective function of the upper-layer capacity configuration model is determined based on the configuration cost, the maintenance cost, and the operation cost.

4. The rural microgrid photovoltaic storage collaborative configuration method based on cooperative alliance as claimed in claim 1, characterized in that: The target cooperation alliance includes centralized shared energy storage and multiple rural microgrids; the rural microgrids include loads, distributed photovoltaics and decentralized shared energy storage.

5. The rural microgrid photovoltaic storage collaborative configuration method based on cooperative alliance as claimed in claim 3 is characterized in that: The determining of the configuration cost, maintenance cost and operation cost of the target cooperative alliance based on all configuration information sets includes: The configuration cost is: in, is the configuration power of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The configuration power of distributed shared energy storage, The configuration capacity of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The configuration capacity of distributed shared energy storage, is the power configuration cost coefficient of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The power configuration cost coefficient of a distributed shared energy storage, The capacity configuration cost coefficient of the centralized shared energy storage in the target cooperative alliance, For the target cooperation alliance m The capacity configuration cost coefficient of a distributed shared energy storage, For the target cooperation alliance m The configuration power of distributed photovoltaic Assign cost coefficients to distributed PV power; The maintenance costs are: in, is the initial configuration cost of all distributed photovoltaics, The number of times distributed photovoltaic equipment needs to be replaced, For the engineering life of distributed photovoltaic equipment, r is the discount rate for distributed photovoltaics; The operating costs are: in, is the annual operation and maintenance cost of the target cooperative alliance, is the fixed maintenance cost coefficient of energy storage of the target alliance, is the variable maintenance cost coefficient of energy storage of the target alliance, is the photovoltaic maintenance cost coefficient of the target alliance, Centralized energy storage in the alliance for the stated purpose t The charging active power at the moment, Centralized energy storage in the alliance for the stated purpose t The discharge active power at the moment, is the photovoltaic unit operation and maintenance cost of the target cooperative alliance, is the unit operation and maintenance cost of energy storage of the target cooperative alliance, This is the project configuration period. is the number of days of common energy storage operation in a year, is the number of microgrids, The scheduling duration.

6. The rural microgrid photovoltaic storage collaborative configuration method based on cooperative alliance as claimed in claim 1, characterized in that: The lower-level daily operation scheduling model is constructed based on the supply-demand ratio of each rural microgrid and all photovoltaic storage information sets with the lowest daily operation cost, including: Taking the lowest daily operation cost of the target cooperative alliance as the goal, determining the objective function of the lower-level daily operation scheduling model; Based on the supply-demand ratio and all the solar-storage information sets, determining the constraint conditions of the lower-layer daily operation scheduling model; Based on the objective function of the lower-layer daily operation scheduling model and the constraints of the lower-layer daily operation model, a lower-layer daily operation scheduling model is obtained.

7. The rural microgrid photovoltaic storage collaborative configuration method based on cooperative alliance as claimed in claim 1, characterized in that: The method of obtaining the daily operation scheduling strategy of the target cooperative alliance based on the microgrid information set, the upper-layer capacity configuration model and the lower-layer daily operation scheduling model, and obtaining the photovoltaic storage collaborative configuration scheme of the target cooperative alliance based on the daily operation scheduling strategy, includes: Based on the microgrid information set and the upper-layer capacity configuration model, adjusting the capacity configuration of each distributed photovoltaic and shared energy storage in the target cooperative alliance; Based on the lower-layer daily operation scheduling model, the daily operation scheduling strategy of the target cooperative alliance is iteratively generated, and data extraction is performed based on the daily operation scheduling strategy to obtain the photovoltaic storage collaborative configuration plan of the target cooperative alliance.

8. The rural microgrid photovoltaic storage collaborative configuration method based on cooperative alliance as claimed in claim 1, characterized in that: The method further comprises: For each rural microgrid, perform the following steps: Based on the photovoltaic energy storage information set of the rural microgrid, the shared energy storage usage information and electrical parameters of the rural microgrid are obtained; Inputting the shared energy storage usage information and the electrical parameters into a power loss calculation formula to obtain the power loss for the rural microgrid; The weight of the microgrid is determined based on the power loss, and the benefit allocated to the rural microgrid is obtained based on the weight.

9. The rural microgrid photovoltaic storage collaborative configuration method based on cooperative alliance as claimed in claim 8, characterized in that: The method of determining the weight of each rural microgrid based on the power loss and obtaining the income allocated to the rural microgrid based on the weight includes: Determining the total power loss of the target cooperative alliance based on the power loss of each rural microgrid; For each rural microgrid, the weight of the rural microgrid is obtained based on the power loss of the rural microgrid and the total power loss, and the initial weight in the preset profit distribution algorithm is replaced with the weight to obtain the profit distributed by the rural microgrid.

10. A rural microgrid photovoltaic storage collaborative configuration device based on a cooperative alliance, characterized in that: include: An acquisition module, used to obtain the photovoltaic storage information set of each rural microgrid in the target cooperative alliance; A determination module, used to determine the supply-demand ratio of the target cooperative alliance based on all the optical storage information sets; A construction module is used to construct an upper-level capacity configuration model based on all photovoltaic storage information sets with the goal of minimizing total cost, and to construct a lower-level daily operation scheduling model based on the supply-demand ratio of each rural microgrid and all photovoltaic storage information sets with the goal of minimizing daily operation cost; A configuration module is used to obtain the daily operation scheduling strategy of the target cooperative alliance based on the microgrid information set, the upper-layer capacity configuration model and the lower-layer daily operation scheduling model, and obtain the photovoltaic storage collaborative configuration plan of the target cooperative alliance based on the daily operation scheduling strategy.

Images