Water-wind-light power station partition division method and system considering cascade reservoir connection

Abstract

The invention discloses a water-wind-light power station partition division method and system considering cascade reservoir connection, and relates to the technical field of power station partition division. The method comprises the steps that a first index and a second index are constructed, the first index is a modularity index containing hydraulic connection and electric power connection, and the second index is an electric power output stability index; forming a comprehensive index based on the first index and the second index; the comprehensive index is a power station partition division comprehensive index which comprehensively considers electrical connection between water, wind and light power stations and hydraulic connection between drainage basin cascade hydropower stations; taking the comprehensive index as a fitness function, and solving an individual with the optimal fitness function by adopting a genetic algorithm; and determining an optimal result of power station partition division based on the individual with the optimal fitness function. According to the method, the fluctuation of wind and light output is stabilized by using the flexible adjustment capability of the watershed cascade power stations, so that the power transmission quality and the power transmission channel utilization rate of the divided power station subareas are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power station zoning, and in particular to a method and system for zoning a water, wind and solar power station considering the connection between cascade reservoirs. Background Art

[0002] Large-scale development of wind and solar clean energy is one of the important measures to alleviate climate warming and promote the early achievement of the "dual carbon" goals. However, the strong randomness, intermittency, volatility and other unstable characteristics of wind and solar power pose great challenges to its large-scale development and high-level consumption. Using the clean and low-carbon, rapid start and stop, and fast climbing capabilities of hydropower stations to smooth out the fluctuations in wind and solar output and then bundle and send them out is one of the effective ways to solve the problem of large-scale wind and solar consumption. However, cascade hydropower stations are affected by factors such as reservoir size, climbing rate, and installed capacity, and their regulation capacity is ultimately limited. How to reasonably divide the basin cascade hydropower stations and their nearby wind and solar power stations into zones so that the flexible regulation capabilities of hydropower stations in each zone are adapted to the output fluctuation regulation needs of wind and solar power stations is one of the key issues for the efficient operation of the basin cascade water, wind and solar complementary system.

[0003] The power station zoning method was first introduced into the power system by German scholars. By dividing multiple wind power stations into one zone, the coordination relationship within the zone is used to deal with the voltage quality problems caused by the large-scale grid connection of multiple wind turbines. After years of development, domestic and foreign scholars have conducted extensive research on the principles, evaluation indicators, and solution algorithms of zoning. The existing mature zoning methods mainly follow the principles of strict structure and unified function. Based on indicators such as structural modularity, electrical distance, active / reactive balance, and new energy absorption capacity at different time and space scales, clustering algorithms, community structure algorithms, and intelligent genetic algorithms are used to solve the power station zoning.

[0004] At present, the research on power station zoning mainly focuses on the distribution network field of wind and solar power stations and distributed resources, without considering the coordination with cascade hydropower stations in the basin. Compared with the previous connection of a single hydropower station as a regulating power source in the distribution network, the zoning of the cascade hydro-wind-solar complementary system needs to consider the complex hydraulic and power connections between cascade hydropower stations. The complexity and difficulty of zoning in terms of spatial scale, optimization scope, influencing factors, etc. have increased significantly, and it is necessary to explore a zoning method that is suitable for it. Summary of the invention

[0005] The technical problem to be solved by the present invention is that the existing power station zoning method cannot give full play to the flexible adjustment and coordination of cascade hydropower stations, resulting in low power transmission quality and transmission channel utilization rate of the divided power station zones. The purpose of the present invention is to provide a water-wind-solar power station zoning method and system that takes into account the connection between cascade reservoirs, and propose a comprehensive index for power station zoning that takes into account the hydraulic connection between cascade power stations in a river basin. This index comprehensively considers the electrical connection between water-wind-solar power stations and the hydraulic connection between cascade hydropower stations, and uses the flexible adjustment capacity of cascade power stations in a river basin to smooth the volatility of wind and solar output, so that the power transmission quality and transmission channel utilization rate of the divided power station zones are significantly improved.

[0006] The present invention is achieved through the following technical solutions: In a first aspect, the present invention provides a method for zoning water, wind and solar power stations considering the connection between cascade reservoirs, the method comprising: Constructing the first index and the second index, the first index is the modularity index including the hydraulic connection and the electric connection, and the second index is the electric power output stability index; Based on the first and second indicators, a comprehensive indicator is formed; the comprehensive indicator is a comprehensive indicator for power station zoning that comprehensively considers the electrical connection between water, wind and solar power stations and the hydraulic connection between cascade hydropower stations in the basin, and uses the flexible adjustment capacity of cascade hydropower stations in the basin to smooth out the volatility of wind and solar power output; The comprehensive index is used as the fitness function, and the genetic algorithm is used to solve the individual with the best fitness function; based on the individual with the best fitness function, the optimal result of the power station zoning is determined.

[0007] Furthermore, the steps for constructing the first indicator are: Based on the water quantity and power sensitivity matrix, the hydraulic connection quantity is constructed; the hydraulic connection quantity is a parameter that characterizes the hydraulic connection between upstream and downstream cascade hydropower stations; According to the hydraulic connection quantity and the electric power connection quantity, the module degree edge weight of the power station partition is calculated; Based on the modularity edge weight, the modularity is calculated and used as the first indicator.

[0008] Furthermore, the expression of hydraulic connection is: ; ; In the formula, i , j The nodes of the power station network are numbered and recorded as nodes, respectively. The node represents one of the three types of power stations: hydropower station, wind power station, and photovoltaic power station; is the hydraulic connection quantity; is the water power sensitivity matrix, the first i OK j Column Elements Representation Node j Injection unit water volume and node i Relationship between power generation change; node i and nodes j The closer the hydraulic connection, The larger the hydraulic distance between nodes, The smaller; For Node i The comprehensive output coefficient of the node i For wind power or photovoltaic power station, ; For Node i The annual average power generation head, when the node i For wind power or photovoltaic power station, ; Representation Node j With Node i The upstream and downstream relationship of j and nodes i All are hydropower stations and nodes j Located at the node i Upstream ,otherwise ; For Node j With Node i The water flow is stagnant; For Node i The power generation flow, when the node i For wind power or photovoltaic power station, ; n is the total number of nodes.

[0009] Furthermore, the calculation formula of the modularity edge weight is: ; In the formula, e ij is the module edge weight; LH ij is the hydraulic connection quantity; LE ij is the power connection quantity; max (LE) is the maximum value of the power connection quantity; max (LH) It is the maximum value of the hydraulic connection quantity.

[0010] Furthermore, the calculation formula of modularity is: ; Where: The modularity of the partitions, i.e. the first indicator; is the module edge weight, i.e., the connection node i and nodes jThe weight of the edge, in an undirected unweighted network, the node i and j When connected ,on the contrary ; is the sum of the edge weights of all edges in the network; Represents all nodes i The sum of the weights of the connected edges; k j Represents all nodes j The sum of the weights of the connected edges; when the node i and nodes j In the same partition ,otherwise .

[0011] Furthermore, the expression of the comprehensive index is: , where It represents a comprehensive indicator; is the first indicator; is the second indicator; are the weights of the first and second indicators respectively.

[0012] Furthermore, the second indicator adopts the output difference coefficient, and the transmission capacity constraint of the transmission channel is considered when calculating the output difference coefficient.

[0013] Furthermore, a genetic algorithm is used to solve the individual with the best fitness function. The solution steps are: Step 1: Input basic data, including power connections between power stations, hydraulic connections, typical output processes, and capacity constraints of transmission channels; Step 2: Set the basic parameters of the genetic algorithm, including population size, crossover probability, mutation probability, number of iterations M, and weights of each target; Step 3: Set the population generation number m=1 and randomly initialize the initial population C m ; Step 4: Calculate the m-generation population C m The first indicator and the second indicator; Step 5: Calculate the individual fitness function value and save the individual with the best fitness function; Step 6: Determine whether the population generation number m is greater than the maximum population iteration number M. If so, proceed to step 8, otherwise proceed to step 7; Step 7: Set m=m+1, perform genetic, crossover and mutation operations to generate a new generation of population C m , and go to step 4; Step 8: Select the individual with the best fitness function as the optimal result of power station zoning.

[0014] In a second aspect, the present invention further provides a water-wind-solar power station zoning system taking into account the connection between cascade reservoirs, the system comprising: A construction module is used to construct a first indicator and a second indicator, wherein the first indicator is a modularity indicator including hydraulic connection and electric connection, and the second indicator is an electric power output stability indicator; A forming module is used to form a comprehensive indicator based on the first indicator and the second indicator; the comprehensive indicator is a comprehensive indicator for power station zoning that comprehensively considers the electrical connection between water, wind and solar power stations and the hydraulic connection between cascade hydropower stations in the river basin, and uses the flexible adjustment capacity of cascade hydropower stations in the river basin to smooth the volatility of wind and solar power output; The partitioning module is used to use the comprehensive index as the fitness function and adopt the genetic algorithm to solve the individual with the best fitness function; based on the individual with the best fitness function, the optimal result of the power station partitioning is determined.

[0015] Further, the building block includes a first building unit, and the first building unit includes: The hydraulic connection quantity construction subunit is used to construct the hydraulic connection quantity based on the water quantity and power sensitivity matrix; the hydraulic connection quantity is a parameter that characterizes the hydraulic connection between the upstream and downstream cascade hydropower stations; The first calculation subunit is used to calculate the module degree edge weight of the power station partition division according to the hydraulic connection quantity and the electric power connection quantity; The second calculation subunit is used to calculate the modularity based on the modularity edge weight and use it as the first indicator.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects: The present invention provides a method and system for zoning water, wind and solar power stations taking into account the connection between cascade reservoirs, and proposes a comprehensive index for zoning power stations taking into account the hydraulic connection between cascade power stations in a river basin. The index comprehensively considers the electrical connection between water, wind and solar power stations and the hydraulic connection between cascade hydropower stations, and uses the flexible adjustment capability of cascade power stations in a river basin to smooth out the volatility of wind and solar power output, thereby significantly improving the power transmission quality and transmission channel utilization rate of the divided power station zones. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings: Figure 1 This is a schematic diagram of comprehensive indicators for power station zoning according to the present invention; Figure 2 A flow chart of a method for zoning water, wind and solar power stations considering the connection between cascade reservoirs according to the present invention; Figure 3 A detailed flow chart of the method for zoning water, wind and solar power stations considering the connection of cascade reservoirs according to the present invention; Figure 4 This is a schematic diagram of IEEE33 node relationships in Example 1; Figure 5 This is a schematic diagram of the IEEE33 node division result in Scheme 1 of Example 1; Figure 6 This is a schematic diagram of the IEEE33 node division result in Solution 2 of Example 1; Figure 7 This is a schematic diagram of the IEEE33 node division result in Solution 3 of Example 1; Figure 8 This is a structural block diagram of the water-wind-solar power station zoning system considering the connection of cascade reservoirs in the present invention. DETAILED DESCRIPTION

[0018] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0019] The present invention proposes a comprehensive index for power station zoning that takes into account the hydraulic connection between cascade power stations in a river basin. This index comprehensively considers the electrical connection between water, wind and solar power stations and the hydraulic connection between cascade hydropower stations, and uses the flexible adjustment capability of cascade power stations in a river basin to smooth out the volatility of wind and solar power output, thereby significantly improving the power transmission quality and transmission channel utilization rate of the divided power station zones.

[0020] The comprehensive index of power station zoning is a comprehensive consideration of the modularity index including hydraulic connection and power connection, power output stability index (such as Figure 1 ), which belongs to a multi-objective optimization problem, in which the larger the modularity index, the tighter the partition structure; the more stable the system output power, the higher the system power supply quality, and the smaller the power output stability index. In order to balance the above objectives, the present invention assigns a certain weight to each objective to convert it into a single objective, which is convenient for later solution. When the modularity is constant, the larger the comprehensive index, the smaller the partition output difference coefficient and the more stable the power output; when the partition output difference coefficient is constant, the larger the comprehensive index, the larger the modularity index and the tighter the partition structure. The specific expression of the comprehensive index is as follows: ; (1) In the formula, It represents a comprehensive index, i.e. a comprehensive evaluation index that takes into account the system's hydraulic-electrical connection and the stability of power output; The first indicator is the modularity indicator including hydraulic connection and electric power connection; is the second indicator, i.e., the coefficient of output difference among different zones; are the weights of the first and second indicators respectively.

[0021] Example 1 like Figure 2 and Figure 3 As shown, Figure 2 A flow chart of a method for zoning water, wind and solar power stations considering the connection between cascade reservoirs according to the present invention; Figure 3 The detailed flow chart of the method for zoning water-wind-solar power stations considering the connection between cascade reservoirs in the present invention; the method for zoning water-wind-solar power stations considering the connection between cascade reservoirs in the present invention comprises: Step A, constructing a first index and a second index, the first index is a modularity index including hydraulic connection and electric power connection, and the second index is an electric power output stability index; (1) The first indicator: Zoning usually requires that the power stations within a group are closely connected and the connections between groups are loose. The modularity index is commonly used in community detection of complex networks to measure the strength of the community structure of the network. The specific definition of modularity is as follows: ; (2) Where: The modularity of the partitions, i.e. the first indicator; is the module edge weight, i.e., the connection node i and nodes j The weight of the edge, in an undirected unweighted network, the node i and j When connected ,on the contrary ; is the sum of the edge weights of all edges in the network; Represents all nodes i The sum of the weights of the connected edges; k j Represents all nodes j The sum of the weights of the connected edges; when the node i and nodes j In the same partition ,otherwise .

[0022] The key point of the above modularity calculation is to define the actual meaning of its edge weight. In the existing distribution network zoning method, the edge weight between two nodes is usually defined by the electrical distance between power stations. The calculation formula is as follows: ; (3) Where: is the active voltage sensitivity matrix, in which i OK j Column Elements Representation Node j Injected unit active power and node i The relationship between the voltage amplitude change; nodei and nodes j The closer the electrical connection between active voltage and The larger the electrical distance between nodes The smaller the value, the smaller the voltage sensitivity based on reactive power can be obtained. Electrical distance ; Considering that the change of node voltage in the distribution network is related to the change of active and reactive power, the electrical distance between nodes is defined as: .

[0023] With the rapid development of wind and solar energy and the increasing problem of its consumption, the power industry is building a water, wind and solar multi-energy complementary base with basin cascade hydropower as the core of regulation. However, the existing module degree edge weight assignment method does not consider the hydraulic connection between cascade hydropower stations, cannot give full play to the flexible regulation capacity of cascade hydropower, and is not suitable for the zoning of basin cascade hydro, wind and solar complementary base power stations.

[0024] In order to give full play to the joint regulation and supply capabilities of cascade hydropower stations, the present invention introduces hydraulic connection quantity - new parameter Characterizes the hydraulic connection between upstream and downstream cascade hydropower stations. This parameter is the power change of the power station caused by unit water volume. The larger its value is, the closer the hydraulic connection between the two hydropower stations is. Conversely, the hydraulic connection is looser. The specific expression of the hydraulic connection is as follows: ; (4) ; (5) In the formula, i , j The nodes of the power station network are numbered and recorded as nodes, respectively. The node represents one of the three types of power stations: hydropower station, wind power station, and photovoltaic power station; is the hydraulic connection quantity; is the water power sensitivity matrix, the first i OK j Column Elements Representation Node j Injection unit water volume and node i Relationship between power generation change; node i and nodes j The closer the hydraulic connection, The larger the hydraulic distance between nodes, The smaller; For Node i The comprehensive output coefficient of the node i For wind power or photovoltaic power station, ; For Node i The annual average power generation head, when the node i For wind power or photovoltaic power station, ; Representation Node j With Node i The upstream and downstream relationship of j and nodes i All are hydropower stations and nodes j Located at the node i Upstream ,otherwise ; For Node j With Node i The water flow is stagnant; For Node i The power generation flow, when the node i For wind power or photovoltaic power station, ; n is the total number of nodes.

[0025] In order to satisfy the relationship between the edge weights of nodes and the electrical distance and hydraulic connection: the larger the electrical distance, the closer the hydraulic connection, and the smaller the edge weight, the present invention sets the calculation formula of the modularity edge weight to be: ; (6) In the formula, e ij is the module edge weight; LH ij is the hydraulic connection quantity; LE ij is the power connection quantity; max (LE) is the maximum value of the power connection quantity; max (LH) It is the maximum value of the hydraulic connection quantity.

[0026] In this embodiment, the steps for constructing the first indicator are: Based on the water quantity and power sensitivity matrix, the hydraulic connection quantity is constructed; the hydraulic connection quantity is a parameter that characterizes the hydraulic connection between upstream and downstream cascade hydropower stations; According to the hydraulic connection quantity and the electric power connection quantity, the module degree edge weight of the power station partition is calculated; Based on the modularity edge weight, the modularity is calculated and used as the first indicator.

[0027] (2) Second indicator: The purpose of building a basin-level cascade water, wind and solar multi-energy complementary base is to use the flexible regulation ability of hydropower to smooth out the fluctuation of wind and solar output. Therefore, when dividing the power station into zones, the quality of power output of each zone should also be used as an important criterion for the division of zones. On the basis of meeting the structural modularity, hydropower stations with strong regulation ability should be connected to more wind and solar power stations to give full play to their flexible regulation ability and promote the effective consumption of wind and solar energy. As an indicator of power output stability, the larger the index is, the greater the output power fluctuation is, and vice versa, the smaller the output power fluctuation is. The specific expression of this index is as follows: ; (7) ; (8) In the formula, The power fluctuation coefficient of the sub-area power generation during the dispatch period; For partition In the t Total power generation at the moment, kW; For partition The average power generated during the dispatch period, kW.

[0028] When calculating the output difference coefficient of each zone, the transmission capacity of the transmission channel should be considered. When the output of each zone exceeds the transmission capacity of the transmission section, power abandonment will occur. At this time, the grid-connected power of the zone is the maximum transmission capacity of the transmission section of the power grid. Therefore, when calculating the output difference coefficient of each zone, the following transmission capacity constraints of the transmission channel should be considered, as follows: ; (9) In the formula, Power station area exist t The grid-connected power of hydropower, wind power and photovoltaic power at the moment, kW; Zoning the power station Transmission channel capacity of the transmission section, kW.

[0029] Step B, based on the first indicator and the second indicator, a comprehensive indicator is formed; the comprehensive indicator is a comprehensive indicator for power station zoning that comprehensively considers the electrical connection between water, wind and solar power stations and the hydraulic connection between cascade hydropower stations in the basin, and uses the flexible adjustment capacity of cascade hydropower stations in the basin to smooth the volatility of wind and solar output; In this embodiment, the comprehensive index refers to formula (1).

[0030] Step C, taking the comprehensive index as the fitness function, using genetic algorithm to solve the individual with the best fitness function (i.e. the maximum ); Based on the individual with the best fitness function, the optimal result of power station zoning is determined.

[0031] In this embodiment, in step C, a genetic algorithm is used to solve the individual with the best fitness function, and the solving steps are: Step 1: Input basic data, including power connections between power stations, hydraulic connections, power station lines, power station nodes, typical output processes and capacity constraints of transmission channels, etc. Step 2: Set the basic parameters of the genetic algorithm, including population size, crossover probability, mutation probability, number of iterations M, and weights of each target; Step 3: Set the population generation number m=1 and randomly initialize the initial population C m ; Step 4: Calculate the m-generation population C m The first indicator (modularity index, i.e. ), the second indicator (power output stability indicator, i.e. ); Step 5: Calculate the individual fitness function value and save the individual with the best fitness function; Step 6: Determine whether the population generation number m is greater than the maximum population iteration number M. If so, proceed to step 8, otherwise proceed to step 7; Step 7: Set m=m+1, perform genetic, crossover and mutation operations to generate a new generation of population C m , and go to step 4; Step 8: Select the individual with the best fitness function as the optimal result of power station zoning; Step 9: End.

[0032] In the specific implementation, in order to highlight the effectiveness and rationality of the present invention, the present invention takes IEEE33 node as an example (such as Figure 4 ), Figure 4 The solid black line represents the power connection, and the dashed black line represents the hydraulic connection. Three division schemes are set at the same time: Scheme 1: Division based on only the power connection; Scheme 2: Division based on the power connection + hydraulic connection; Scheme 3: Division based on the power connection + hydraulic connection + the stability of electric energy output. The division result indicators of the three schemes are shown in Table 1. Figures 5 to 7 As shown, Figure 5 This is a schematic diagram of the IEEE33 node division result in Scheme 1 of Example 1; Figure 6 This is a schematic diagram of the IEEE33 node division result in Solution 2 of Example 1; Figure 7 It is a schematic diagram of the IEEE33 node division result in Scheme 3 of Example 1. As can be seen from Table 1, compared with Scheme 1, after considering the hydraulic connection, the modularity of the power connection of the power station partition is reduced, but after the modularity of the hydraulic connection is strengthened, the comprehensive modularity of the partition is improved, and the comprehensive division index of the partition is improved by 75.22%; compared with Scheme 2, after considering the stable index of electric energy output, the modularity of the power connection of the partition is further reduced, and the imbalance coefficient of the output of the partition is also reduced, but it is still higher than 0.3 and has a good structural relationship, and the comprehensive division index of the partition is improved by 36.67%. It can be seen that the method proposed in the present invention can further improve the output power stability of the partitioned power station on the basis of ensuring that the power station partition has a good structural degree.

[0033] Table 1 Statistics of indexes of partition results of different partitioning schemes

[0034] The present invention provides a method and system for zoning water, wind and solar power stations taking into account the connection between cascade reservoirs, and proposes a comprehensive index for zoning power stations taking into account the hydraulic connection between cascade power stations in a river basin. The index comprehensively considers the electrical connection between water, wind and solar power stations and the hydraulic connection between cascade hydropower stations, and uses the flexible adjustment capability of cascade power stations in a river basin to smooth out the volatility of wind and solar power output, thereby significantly improving the power transmission quality and transmission channel utilization rate of the divided power station zones.

[0035] Example 2 like Figure 8 As shown, the difference between this embodiment and embodiment 1 is that this embodiment provides a water-wind-solar power station zoning system considering the connection between cascade reservoirs, and the functions of the system correspond one-to-one to the water-wind-solar power station zoning method considering the connection between cascade reservoirs in embodiment 1; the system includes: A construction module is used to construct a first indicator and a second indicator, wherein the first indicator is a modularity indicator including hydraulic connection and electric connection, and the second indicator is an electric power output stability indicator; A forming module is used to form a comprehensive indicator based on the first indicator and the second indicator; the comprehensive indicator is a comprehensive indicator for power station zoning that comprehensively considers the electrical connection between water, wind and solar power stations and the hydraulic connection between cascade hydropower stations in the river basin, and uses the flexible adjustment capacity of cascade hydropower stations in the river basin to smooth the volatility of wind and solar power output; The partitioning module is used to use the comprehensive index as the fitness function and adopt the genetic algorithm to solve the individual with the best fitness function; based on the individual with the best fitness function, the optimal result of the power station partitioning is determined.

[0036] As a further implementation, the building block includes a first building unit, and the first building unit includes: The hydraulic connection quantity construction subunit is used to construct the hydraulic connection quantity based on the water quantity and power sensitivity matrix; the hydraulic connection quantity is a parameter that characterizes the hydraulic connection between the upstream and downstream cascade hydropower stations; The first calculation subunit is used to calculate the module degree edge weight of the power station partition division according to the hydraulic connection quantity and the electric power connection quantity; The second calculation subunit is used to calculate the modularity based on the modularity edge weight and use it as the first indicator.

[0037] Among them, the execution process of each unit can be executed according to the process steps of the method for zoning water, wind and solar power stations considering the connection between cascade reservoirs in Example 1, and will not be repeated one by one in this embodiment.

[0038] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0039] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0040] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0041] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0042] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for zoning water, wind and solar power stations considering the connection between cascade reservoirs, characterized in that: The method includes: Constructing a first index and a second index, wherein the first index is a modularity index including hydraulic connection and electric connection, and the second index is an electric power output stability index; Based on the first indicator and the second indicator, a comprehensive indicator is formed; the comprehensive indicator is a comprehensive indicator for power station zoning that comprehensively considers the electrical connection between water, wind and solar power stations and the hydraulic connection between cascade hydropower stations in the river basin; The comprehensive index is used as a fitness function, and a genetic algorithm is used to solve the individual with the best fitness function; based on the individual with the best fitness function, the optimal result of the power station zoning is determined.

2. The method for zoning water, wind and solar power stations considering the connection between cascade reservoirs according to claim 1 is characterized in that: The steps for constructing the first indicator are: Based on the water quantity and power sensitivity matrix, a hydraulic connection quantity is constructed; the hydraulic connection quantity is a parameter that characterizes the hydraulic connection between upstream and downstream cascade hydropower stations; Calculating the module degree edge weight of the power station partition division according to the hydraulic connection quantity and the electric power connection quantity; Based on the modularity edge weight, the modularity is calculated and used as the first indicator.

3. The method for zoning water, wind and solar power stations considering the connection between cascade reservoirs according to claim 2 is characterized in that: The expression of the hydraulic connection quantity is: ； ； In the formula, i , j The nodes of the power station network are numbered and recorded as nodes, respectively. The node represents one of the three types of power stations: hydropower station, wind power station, and photovoltaic power station; is the hydraulic connection quantity; is the water power sensitivity matrix, the first i OK j Column Elements Representation Node j Injection unit water volume and node i Relationship between power generation change; node i and nodes j The closer the hydraulic connection, The larger the hydraulic distance between nodes, The smaller; For Node i The comprehensive output coefficient of the node i For wind power or photovoltaic power station, ; For Node i The annual average power generation head, when the node i For wind power or photovoltaic power station, ; Representation Node j With Node i The upstream and downstream relationship of j and nodes i All are hydropower stations and nodes j Located at the node i Upstream ,otherwise ; For Node j With Node i The water flow is stagnant; For Node i The power generation flow, when the node i For wind power or photovoltaic power station, ; n is the total number of nodes.

4. The method for zoning water, wind and solar power stations considering the connection between cascade reservoirs according to claim 2 is characterized in that: The calculation formula of the modularity edge weight is: ； In the formula, e ij is the module edge weight; LH ij is the hydraulic connection quantity; LE ij is the power connection quantity; max (LE) is the maximum value of the power connection quantity; max (LH) It is the maximum value of the hydraulic connection quantity.

5. The method for zoning water, wind and solar power stations considering the connection between cascade reservoirs according to claim 2 is characterized in that: The calculation formula of the modularity is: ； Where: The modularity of the partitions is the first indicator; is the module edge weight, i.e., the connection node i and nodes j The weight of the edge, in an undirected unweighted network, the node i and j When connected ,on the contrary ; is the sum of the edge weights of all edges in the network; Represents all nodes i The sum of the weights of the connected edges; k j Represents all nodes j The sum of the weights of the connected edges; when the node i and nodes j In the same partition ,otherwise .

6. The method for zoning water, wind and solar power stations considering the connection between cascade reservoirs according to claim 1 is characterized in that: The expression of the comprehensive index is: , where It represents a comprehensive indicator; is the first indicator; is the second indicator; are the weights of the first and second indicators respectively.

7. The method for zoning water, wind and solar power stations considering the connection between cascade reservoirs according to claim 1 is characterized in that: The second indicator adopts the output difference coefficient, and the transmission capacity constraint of the transmission channel is considered when calculating the output difference coefficient.

8. The method for zoning water, wind and solar power stations considering the connection between cascade reservoirs according to claim 1 is characterized in that: Genetic algorithm is used to solve the individual with the best fitness function. The solution steps are: Step 1: Input basic data, including power connections between power stations, hydraulic connections, typical output processes, and capacity constraints of transmission channels; Step 2: Setting the basic parameters of the genetic algorithm, including population size, crossover probability, mutation probability, number of iterations M, and weights of each target; Step 3: Set the population generation number m=1 and randomly initialize the initial population C m ; Step 4: Calculate the m-generation population C m The first indicator and the second indicator; Step 5: Calculate the individual fitness function value and save the individual with the best fitness function; Step 6: Determine whether the population generation number m is greater than the maximum population iteration number M. If so, proceed to step 8, otherwise proceed to step 7; Step 7: Set m=m+1, perform genetic, crossover and mutation operations to generate a new generation of population C m , and go to step 4; Step 8: Select the individual with the best fitness function as the optimal result of power station zoning.

9. A hydropower station zoning system considering the connection between cascade reservoirs, characterized in that: The system includes: A construction module is used to construct a first indicator and a second indicator, wherein the first indicator is a modularity indicator including hydraulic connection and electric connection, and the second indicator is an electric power output stability indicator; A forming module, used to form a comprehensive index based on the first index and the second index; the comprehensive index is a comprehensive index for power station zoning that comprehensively considers the electrical connection between water, wind and solar power stations and the hydraulic connection between cascade hydropower stations in the river basin; The partitioning module is used to use the comprehensive index as the fitness function and adopt a genetic algorithm to solve the individual with the best fitness function; based on the individual with the best fitness function, determine the optimal result of the power station partitioning.

10. The hydropower, wind and solar power station zoning system considering the connection between cascade reservoirs according to claim 9 is characterized in that: The building block comprises a first building unit, and the first building unit comprises: A hydraulic connection quantity construction subunit is used to construct a hydraulic connection quantity based on a water quantity and power sensitivity matrix; the hydraulic connection quantity is a parameter that characterizes the hydraulic connection between upstream and downstream cascade hydropower stations; A first calculation subunit is used to calculate the module degree edge weight of the power station partition division according to the hydraulic connection quantity and the electric power connection quantity; The second calculation subunit is used to calculate the modularity based on the modularity edge weight and use it as the first indicator.

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