Total-factor regulation power grid dispatching method based on historical data

Abstract

The invention discloses a total factor regulation power grid dispatching method based on historical data, and relates to the technical field of intelligent power grid dispatching management, and the method comprises the following steps: carrying out the data cleaning of the historical operation data of a power grid, obtaining the historical operation data of a unified data format, and constructing a time-space sequence database, a plurality of power grid dispatching strategies are constructed by adopting a Nash bargaining method and a particle swarm algorithm based on power grid historical operation data stored in a time-space sequence database and unified expected electric energy trading prices and unified expected electric energy trading volumes uploaded by a power generation party, a power transmission party, a power distribution party and a power utilization party; and substituting each power grid dispatching strategy into the space-time sequence database to perform strategy execution calculation, selecting an optimal power grid dispatching strategy according to a strategy execution calculation result, executing and tracking the optimal power grid dispatching strategy, and generating historical power grid operation data according to an execution result to update the space-time sequence database. And total-factor electric energy transaction scheduling of all parties in the power grid is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent power grid dispatching management, and specifically to a full-element regulated power grid dispatching method based on historical data. Background Art

[0002] With the rapid development of urban economy, people pay more and more attention to the power distribution demand and safety reliability of the power grid. Power grid distribution dispatching and management is an important link in the operation process of urban power grids and an effective means to ensure the safe, stable and economic operation of urban power grids. In view of this, how to effectively dispatch and manage urban distribution power grids has become the key to the sustainable development of the power industry;

[0003] Most traditional power grid dispatching planning methods can only solve linear or non-linear power grid operation problems and cannot well plan power grid operation problems from multiple dimensions and aspects. Therefore, a full-element regulated power grid dispatching method based on historical data is provided. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a full-element regulated power grid dispatching method based on historical data.

[0005] In order to achieve the above purpose, the present invention provides the following technical solutions:

[0006] A full-element regulated power grid dispatching method based on historical data, comprising the following steps:

[0007] Step 1, perform data cleaning on the historical operation data of the power grid, and then obtain historical operation data with a unified data format, and construct a power grid operation tree diagram and a spatio-temporal sequence database according to the historical operation data of the power grid after data cleaning;

[0008] Step 2, based on the historical operation data of the power grid stored in the spatio-temporal sequence database, as well as the unified expected electricity transaction price and the unified expected electricity transaction volume uploaded by the power generation side, the power transmission side, the power distribution side, and the power consumption side, establish a multi-party electricity transaction strategy using the Nash bargaining method, and then construct multiple power grid dispatching strategies through the particle swarm algorithm;

[0009] Step 3, substitute each power grid dispatching strategy into the spatio-temporal sequence database for strategy execution calculation, and select the best power grid dispatching strategy according to the result of the strategy execution calculation;

[0010] Step 4, execute and track the best power grid dispatching strategy, and update the spatio-temporal sequence database according to the execution result by generating historical power grid operation data.

[0011] Further, the construction process of the power grid operation tree diagram includes:

[0012] Classify the historical operation data of power generation parties, power transmission parties, and power distribution parties according to the corresponding time and date, and set a name collision pointer, where the name collision pointer includes name sensitive feature points and name association instructions;

[0013] Traverse the historical operation data of multiple parties classified by time through the name collision pointer to obtain each name in the electricity trading records of the historical operation data, and establish a root node and associated nodes based on the name opposition relationship in the electricity trading records and the name association instructions in the name collision pointer. The electricity trading price between the two is marked on the associated line. Connect the root node and the associated nodes according to the mutual opposition relationship between each name. At the same time, use the data other than the name in the historical data of each party as leaf nodes and connect them to the root node corresponding to the name, thereby obtaining the grid operation tree diagram for the corresponding date.

[0014] Further, the construction process of the spatio-temporal sequence database includes:

[0015] Establish a time axis with the corresponding date in the historical operation data of each party, map the grid operation tree diagram on the time coordinate of the time axis, and set different color markings for the root nodes of the power generation party, power transmission party, power distribution party, and power consumption party on the grid operation tree diagram, thereby establishing a spatio-temporal sequence database. At the same time, set the time coordinate on the time axis as the time index dimension, and set the names of the power generation party, power transmission party, power distribution party, and power consumption party on the grid operation tree diagram as the space index dimension.

[0016] Further, the establishment process of the multi-party electricity transaction strategy includes:

[0017] The power generation party, power transmission party, power distribution party, and power consumption party uniformly expect the electricity transaction price, uniformly expect the electricity transaction volume, uniformly set the bottom-line electricity transaction price, and uniformly set the bottom-line electricity transaction volume. Then, the spatio-temporal sequence database searches for the historical electricity transaction records of each party through the space index dimension according to the name of the uploading party, and indexes the historical operation data of each party corresponding to the name according to the time index dimension and the historical electricity transaction records, thereby obtaining the benefit values of each party for the corresponding time and date;

[0018] Establish a three-dimensional linear equation of electricity transaction among each party based on the electricity transaction price, electricity transaction volume, and corresponding benefit values in the historical operation data of each party. Substitute the uniformly expected electricity transaction price, uniformly expected electricity transaction volume, uniformly bottom-line electricity transaction price, and uniformly bottom-line electricity transaction volume of each party into the three-dimensional linear equation of electricity transaction to obtain the expected benefit value and bottom-line benefit value of each party, and obtain the corresponding uniformly bottom-line electricity transaction price and uniformly bottom-line electricity transaction volume based on the expected benefit value;

[0019] Establish a Nash bargaining model, substitute the unified expected electricity transaction price, unified expected electricity transaction volume, unified bottom-line electricity transaction price, unified bottom-line electricity transaction volume, expected benefit value, and bottom-line benefit value of all parties into the Nash bargaining cost, and then obtain several groups of multi-party electricity transaction strategies.

[0020] Further, the construction process of the grid dispatching strategy includes:

[0021] Set the unified bottom-line electricity transaction price and unified bottom-line electricity transaction volume as the starting point of movement, and set the unified expected electricity transaction price and unified expected electricity transaction volume as the ending point of movement. Then, set the product result of the electricity transaction price and electricity transaction volume of each party in several groups of multi-party electricity transaction strategies as the initial velocity of the particle, and set the operation and maintenance cost of each party in the multi-party electricity transaction strategy as the first deceleration, and the power generation cost or transmission cost or distribution cost as the second deceleration. Among them, the movement direction of the power consumption party is opposite to that of the other three parties. Its first deceleration is the operation and maintenance cost, and the second deceleration is the square root of the product result of the electricity transaction price and electricity transaction volume with the distribution party;

[0022] Then, select five multi-party electricity transaction strategies as the grid dispatching strategy according to the comprehensive distance of each particle in each group of multi-party electricity transaction strategies from the corresponding movement end point.

[0023] Further, the grid dispatching strategy process includes: the multi-party electricity transaction strategy with the shortest comprehensive distance of each particle from the corresponding movement end point, the multi-party electricity transaction strategy with the shortest distance of the power generation party particle from the corresponding movement end point, the multi-party electricity transaction strategy with the shortest distance of the transmission party particle from the corresponding movement end point, the multi-party electricity transaction strategy with the shortest distance of the distribution party particle from the corresponding movement end point, and the multi-party electricity transaction strategy with the shortest distance of the power consumption party particle from the corresponding movement end point.

[0024] Further, the selection process of the optimal grid dispatching strategy includes: obtaining the facility operation records of multiple power generation stations, transmission stations, distribution stations, and power consumption areas within each party according to the time index dimension and space index dimension, and then obtaining the stability scores of the power generation stations, transmission stations, distribution stations, and power consumption areas according to the facility operation records;

[0025] Set a stability score threshold, select the power generation stations, transmission stations, or distribution stations with stability scores greater than the stability score threshold and mark them in the grid operation tree diagram in the spatio-temporal sequence database. Then, map the electricity transaction price and electricity transaction volume between each party in each grid dispatching strategy to the grid operation tree diagram;

[0026] Obtain the overall benefit values of all parties for each power grid dispatching strategy and the stability scores of power generation stations, transmission stations, and distribution stations that execute the power grid dispatching strategy. The numerical result obtained by adding the two is used as the efficiency score of the corresponding power grid dispatching strategy, and the power grid dispatching strategy with the largest efficiency score is selected as the optimal power grid dispatching strategy.

[0027] Further, the execution process of the optimal power grid dispatching strategy includes:

[0028] Split the optimal power grid dispatching strategy into four sub-power grid dispatching strategies and send them to the corresponding power generation stations, transmission stations, distribution stations, and power consumption areas respectively. Then, the power generation stations, transmission stations, distribution stations, and power consumption areas conduct power trading with each other according to the received sub-power grid dispatching strategies. At the same time, at the end of a day, generate the operation and maintenance costs, equipment operation records, and the corresponding power generation costs, transmission costs, distribution costs, or economic benefits of each party on that day, and then generate the historical operation data of the power grid.

[0029] Compared with the prior art, the beneficial effects of the present invention are:

[0030] 1. The present invention establishes a time coordinate axis based on the corresponding time and date of the historical operation data of all parties in the power grid, establishes a tree diagram of power grid operation according to the trading correspondence relationship among all parties in the power grid, maps the time coordinate axis and the tree diagram of power grid operation to each other to establish a spatio-temporal sequence database, and sets a time index dimension and a space index dimension, which improves the data retrieval efficiency and provides data guarantee and basis for the subsequent calculation and execution of power grid operation strategies;

[0031] 2. The present invention constructs multiple power grid dispatching strategies by using the unified expected power trading price and the unified expected power trading volume uploaded by all parties, adopts the Nash bargaining method and the particle swarm algorithm, substitutes the power grid dispatching strategies into the spatio-temporal sequence database for execution result calculation, and selects the optimal power grid dispatching strategy. The accuracy is high, and the execution results of the selected optimal power grid dispatching strategy also consider multi-dimensional power grid operation factors. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0033] Figure 1 It is the method flow chart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be described in detail below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other implementation manners obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope protected by the present invention.

[0035] As Figure 1 shown, a full-element regulated power grid dispatching method based on historical data includes the following steps:

[0036] Step 1: Clean the historical operation data of the power grid to obtain historical operation data in a unified data format, and construct a spatio-temporal sequence database based on the historical operation data of the power grid after data cleaning;

[0037] Specifically, the historical operation data of the power grid includes the historical operation data of power generation parties, transmission parties, distribution parties, and power consumption parties within the power grid

[0038] The historical operation data of the power generation party includes the names of each power generation station, power generation quantity, power generation cost, operation and maintenance cost, power energy transaction records with the corresponding transmission party, facility operation records, and corresponding time and date;

[0039] The historical operation data of the transmission party includes the names of each transmission station, transmission quantity, transmission cost, operation and maintenance cost, power energy transaction records with the corresponding distribution party, facility operation records, and corresponding time and date;

[0040] The historical operation data of the distribution party includes the names of each distribution station, distribution quantity, distribution cost, operation and maintenance cost, power energy transaction records with the corresponding power consumption party, facility operation records, and corresponding time and date;

[0041] The historical operation data of the power consumption party includes the names of each power consumption area, power consumption quantity, operation and maintenance cost, average load quantity, economic benefits, facility operation records, and corresponding time and date;

[0042] Furthermore, perform data standardization and remove outliers on the historical operation data of each party in turn to obtain historical operation data with a unified data format;

[0043] Further, establish a spatio-temporal sequence database based on the historical operation data with a unified data format;

[0044] Before establishing the spatio-temporal sequence database, first arrange all the historical operation data according to the corresponding time and date, and at the same time perform pre-matching and classification on the data in the historical operation data of the power generation party, transmission party, distribution party, and power consumption party, and establish a tree diagram of power grid operation according to the classification results;

[0045] The process of establishing the power grid operation tree diagram includes: classifying the historical operation data of power generation parties, power transmission parties, and power distribution parties according to the corresponding time and date, and setting a name collision pointer, where the name collision pointer includes name sensitive feature points and name association instructions;

[0046] Traverse the historical operation data of multiple parties in each time classification through the name collision pointer to obtain the names in the electricity trading records between the power generation party and the power transmission party, the electricity trading records between the power transmission party and the power distribution party, and the electricity trading records between the power distribution party and the electricity consumption party in the historical operation data. Based on the name opposition relationship in the electricity trading records and the name association instructions in the name collision pointer, establish a root node and associated nodes, where the electricity trading price between the two is marked on the associated line. Connect the root node and associated nodes according to the mutual opposition relationship between each name. At the same time, use the data other than the name in the historical data of each party as leaf nodes and connect them to the root node corresponding to the name, thereby obtaining the power grid operation tree diagram for the corresponding date;

[0047] Furthermore, establish a time axis based on the corresponding dates in the historical operation data of each party, map the power grid operation tree diagram onto the time coordinates of the time axis, and set different color markings for the root nodes of the power generation party, power transmission party, power distribution party, and electricity consumption party on the power grid operation tree diagram, thereby establishing a spatio-temporal sequence database. At the same time, set the time coordinates on the time axis as the time index dimension, and set the names of the power generation party, power transmission party, power distribution party, and electricity consumption party on the power grid operation tree diagram as the spatial index dimension.

[0048] Step 2: Based on the power grid historical operation data stored in the spatio-temporal sequence database, as well as the unified expected electricity transaction price and unified expected electricity transaction volume uploaded by the power generation party, power transmission party, power distribution party, and electricity consumption party, use the Nash bargaining method and the particle swarm algorithm to construct multiple power grid dispatching strategies;

[0049] Specifically, the power generation party, power transmission party, power distribution party, and electricity consumption party upload the unified expected electricity transaction price, unified expected electricity transaction volume, unified bottom-line electricity transaction price, and unified bottom-line electricity transaction volume to the spatio-temporal sequence database. Then, the spatio-temporal sequence database searches for the historical electricity trading records of each party through the spatial index dimension according to the name of the uploading party, and indexes the historical operation data of each party corresponding to the name according to the time index dimension and the historical electricity trading records;

[0050] Furthermore, combine the cost data in the historical operation data of each party and the electricity transaction price between each other, and calculate the benefit value H of each party for the corresponding time date with the corresponding time period T as the number. The calculation formula for the benefit value H is:

[0051]

[0052]

[0053] Among them, H 发电，T , H 输电，T , H 配电，T , H 用电，T respectively represent the benefit values of the power generation party, the power transmission party, the power distribution party, and the power consumption party at the corresponding date T. α is the benefit constraint constant, and α ∈ (0, 1). Num 发电-输电，T , Num 输电-配电，T , Num 配电-用电，T respectively represent the total number of transactions between each power generation party and each power transmission party, each power transmission party and each power distribution party, and each power distribution party and each power consumption party at the corresponding time date T. It should be noted that there is a situation where one party among the power generation party and the power transmission party, the power transmission party and the power distribution party, and the power distribution party and the power consumption party conducts transactions with multiple parties on the other side simultaneously. J 发电-输电，T , J 输电-配电，T , J 配电-用电，T respectively represent the electricity transaction prices between each power generation party and each power transmission party, each power transmission party and each power distribution party, and each power distribution party and each power consumption party at the corresponding time date T. L 发电-输电，T , L 输电-配电，T , L 配电-用电，T respectively represent the electricity transaction volumes between each power generation party and each power transmission party, each power transmission party and each power distribution party, and each power distribution party and each power consumption party at the corresponding time date T. F 运维，T , S 运维，T , P 运维，T , Y 运维，T respectively represent the operation and maintenance costs of each party at the corresponding date T. F 产电，T , S 输电，T , P 配电，T , O T，i , U 经济效益，T respectively represent the power generation cost of the power generation party, the power transmission cost of the power transmission party, the power distribution cost of the power distribution party, the average load and economic benefits of the power consumption party at the corresponding date T;

[0054] Furthermore, based on the electricity transaction price J, electricity transaction volume L, and corresponding benefit value H in the historical operation data of each party, establish a three-dimensional linear equation of electricity transaction among each party. Substitute the unified expected electricity transaction price J 期望 and the unified expected electricity transaction volume L 期望 , the unified bottom-line electricity transaction price J 底线 and the unified bottom-line electricity transaction volume L 底线 into the three-dimensional linear equation of electricity transaction to obtain the expected benefit value H 期望 and the bottom-line benefit value H 底线 , and obtain the corresponding unified bottom-line electricity transaction price and unified bottom-line electricity transaction volume based on the expected benefit value;

[0055] Establish a Nash bargaining model, and substitute the unified expected electricity transaction price J 期望 and the unified expected electricity transaction volume L 期望 , the unified bottom-line electricity transaction price J 底线 , the unified bottom-line electricity transaction volume L 底线 , the expected benefit value H 期望 and the bottom-line benefit value H 底线 into the Nash bargaining cost, and then obtain several groups of multi-party electricity transaction strategies;

[0056] It should be noted that in the above several groups of multi-party electricity transaction strategies, the electricity transaction price and electricity transaction volume of each party are greater than or equal to the unified bottom-line electricity transaction price J 底线 , the unified bottom-line electricity transaction volume L 底线 , and less than or equal to the unified expected electricity transaction price J 期望 and the unified expected electricity transaction volume L 期望 ;

[0057] Based on the principle of the particle swarm optimization algorithm, set the unified bottom-line electricity transaction price J 底线 , the unified bottom-line electricity transaction volume L 底线 as the starting point of movement, and set the unified expected electricity transaction price J 期望 and the unified expected electricity transaction volume L 期望 as the ending point of movement. Then, set the product result of the electricity transaction price and electricity transaction volume of each party in several groups of multi-party electricity transaction strategies as the initial velocity, and set the operation and maintenance cost of each party in the multi-party electricity transaction strategy as the first deceleration, and the power generation cost or transmission cost or distribution cost as the second deceleration. Among them, the movement direction of the power consumption side is opposite to that of the other three parties, its first deceleration is the operation and maintenance cost, and the second deceleration is the square root of the product of the electricity transaction price and electricity transaction volume with the distribution side;

[0058] The four-party particles in each group of multi-party electricity cost strategies start from the starting point of movement with the initial velocity, and set three unit movement times. At the end of two unit movement times, corresponding decelerations are given to the four-party particles in turn. After the end of the third unit movement time, record the distance of each party's particle from the corresponding movement end point. Then, select five multi-party electricity transaction strategies from each group of multi-party electricity transaction strategies as the grid dispatching strategies, which are, in turn, the multi-party electricity transaction strategy with the shortest comprehensive distance of each party's particle from the corresponding movement end point, the multi-party electricity transaction strategy with the shortest distance of the power generation party's particle from the corresponding movement end point, the multi-party electricity transaction strategy with the shortest distance of the transmission party's particle from the corresponding movement end point, the multi-party electricity transaction strategy with the shortest distance of the distribution party's particle from the corresponding movement end point, and the multi-party electricity transaction strategy with the shortest distance of the power consumption party's particle from the corresponding movement end point.

[0059] Step 3: Substitute each grid dispatching strategy into the spatio-temporal sequence database for strategy execution calculation, and select the optimal grid dispatching strategy according to the results of the strategy execution calculation;

[0060] Specifically, obtain the facility operation records of multiple power generation stations, transmission stations, distribution stations, and power consumption areas within each party according to the time index dimension and the space index dimension, and then calculate the stability scores of the power generation stations, transmission stations, distribution stations, and power consumption areas according to the facility operation records. The calculation formula for the stability score W is as follows:

[0061]

[0062] Where W F，a 、W S，b 、W P，c 、W Y，d respectively represent the a-th power generation station of the power generation party, the b-th transmission station of the transmission party, and the c-th distribution station of the distribution party. Z represents the total number of devices in the power generation stations, transmission stations, or distribution stations within each party. t z represents the normal operation time of the z-th device in the corresponding power generation station, transmission station, or distribution station. s z represents the historical damage times of the corresponding device;

[0063] Furthermore, set a stability score threshold, and then eliminate the power generation stations, transmission stations, or distribution stations with stability scores less than or equal to the stability score threshold, and mark the power generation stations, transmission stations, or distribution stations with stability scores greater than the stability score threshold in the grid operation tree diagram in the spatio-temporal sequence database. Then map the electricity transaction price and electricity transaction volume between each party in each grid dispatching strategy to the grid operation tree diagram;

[0064] According to the historical corresponding relationship between each party on the grid operation tree diagram and the electricity transaction process, as well as the stability scores of the power generation stations, transmission stations, or distribution stations included in each party, and their mutual electricity transaction prices and electricity transaction volumes, select the power generation stations, transmission stations, distribution stations, and power consumption areas with the highest stability scores, mutual electricity transaction prices, and electricity transaction volumes as the corresponding grid dispatching strategies. Then calculate the overall benefit value of each party of each grid dispatching strategy and the stability scores of the power generation stations, transmission stations, and distribution stations implementing the grid dispatching strategy. The numerical result obtained by adding the two is used as the efficiency score of the corresponding grid dispatching strategy, and select the grid dispatching strategy with the largest efficiency score as the optimal grid dispatching strategy.

[0065] Step 4: Execute and track the optimal grid dispatching strategy, and generate historical grid operation data according to the execution results to update the spatio-temporal sequence database;

[0066] Specifically, the optimal power grid scheduling strategy is split into four sub-grid scheduling strategies and sent to the corresponding power generation stations, transmission stations, distribution stations, and power consumption areas respectively. Then, the power generation stations, transmission stations, distribution stations, and power consumption areas conduct power trading with each other according to the received sub-grid scheduling strategies. At the same time, at the end of the day, the operation and maintenance costs, equipment operation records, and the corresponding power generation costs, transmission costs, distribution costs, or economic benefits of each party for that day are generated, thereby generating the historical operation data of the power grid.

[0067] Then, repeat Step 1 and the historical operation data of the power grid to update the spatio-temporal sequence database.

[0068] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for all-factor regulation of power grid dispatching based on historical data, characterized in that: The steps include: Step 1: clean the historical operation data of the power grid to obtain the historical operation data in a unified data format, and construct a power grid operation tree diagram and a spatiotemporal sequence database based on the historical operation data of the power grid after data cleaning; Step 2: Based on the historical operation data of the power grid stored in the spatiotemporal series database, as well as the unified expected power transaction price and unified expected power transaction volume uploaded by the power generation party, power transmission party, power distribution party and power consumption party, the Nash bargaining method is used to establish a multi-party power transaction strategy, and then multiple power grid dispatching strategies are constructed through the particle swarm algorithm; Step 3: Substitute each power grid dispatching strategy into the spatiotemporal sequence database for strategy execution calculation, and select the best power grid dispatching strategy according to the strategy execution calculation results; Step 4: Execute and track the optimal power grid dispatching strategy, and generate historical power grid operation data based on the execution results to update the spatiotemporal series database.

2. A method for all-factor regulation of power grid dispatching based on historical data according to claim 1, characterized in that: The process of constructing the power grid operation tree diagram includes: Classify the historical operation data of the power generation party, the power transmission party and the power distribution party according to the corresponding time and date, and set the name collision pointer, wherein the name collision pointer includes the name sensitive feature point and the name association instruction; Through the name collision pointer, multiple historical operation data classified at different times are traversed to obtain the names of the electric energy transaction records in the historical operation data, and the root node and the associated node are established based on the name opposition relationship in the electric energy transaction record and the name association instruction in the name collision pointer, wherein the associated line is marked with the electric energy transaction price of the two. The root node and the associated node are connected according to the mutual opposition relationship between the names, and the data except the name in the historical data of each party is taken as a leaf node and connected to the root node of the corresponding name, thereby obtaining the tree diagram of the power grid operation on the corresponding date.

3. A method for all-factor regulation of power grid dispatching based on historical data according to claim 2, characterized in that: The construction process of the spatiotemporal series database includes: A time coordinate axis is established with the corresponding dates in the historical operation data of all parties, and the power grid operation tree diagram is mapped on the time coordinate on the time coordinate axis, thereby establishing a spatiotemporal series database. At the same time, the time coordinate on the time coordinate axis is set as the time index dimension, and the names of the power generation party, power transmission party, power distribution party and power user party on the power grid operation tree diagram are set as the space index dimension.

4. The method for all-factor regulation of power grid dispatching based on historical data according to claim 1, characterized in that: The process of establishing the multi-party electric energy transaction strategy includes: The power generation party, power transmission party, power distribution party and power consumption party upload the unified expected power transaction price, unified expected power transaction volume, unified bottom line power transaction price and unified bottom line power transaction volume, and then the spatiotemporal sequence database searches for the historical power transaction records of each party through the spatial index dimension according to the name of the uploader, and indexes the historical operation data of each party with the corresponding name according to the time index dimension and the historical power transaction record, and then obtains the benefit value of each party at the corresponding time and date; A three-dimensional linear equation for the electricity transactions between the parties is established based on the electricity transaction prices, electricity transaction volumes and corresponding benefit values ​​in the historical operation data of the parties. The unified expected electricity transaction prices and unified expected electricity transaction volumes, unified bottom-line electricity transaction prices and unified bottom-line electricity transaction volumes of the parties are substituted into the three-dimensional linear equation for the electricity transactions to obtain the expected benefit values ​​and bottom-line benefit values ​​of the parties, and the corresponding unified bottom-line electricity transaction prices and unified bottom-line electricity transaction volumes are obtained based on the expected benefit values. A Nash bargaining model is established, and the unified expected electricity transaction price and unified expected electricity transaction volume, unified bottom-line electricity transaction price, unified bottom-line electricity transaction volume, expected benefit value and bottom-line benefit value of all parties are substituted into the Nash bargaining cost, thereby obtaining several groups of multi-party electricity transaction strategies.

5. A method for all-factor regulation of power grid dispatching based on historical data according to claim 4, characterized in that: The construction process of the power grid dispatching strategy includes: The unified bottom-line electricity transaction price and the unified bottom-line electricity transaction volume are set as the starting point of the movement, and the unified expected electricity transaction price and the unified expected electricity transaction volume are set as the end point of the movement, and then the electricity transaction price and the electricity transaction volume of each party in a number of groups of multi-party electricity transaction strategies are set as the product result of the particles as the initial speed, and the operation and maintenance cost of each party in the multi-party electricity transaction strategy is used as the first deceleration, and the power generation cost or the transmission cost or the distribution cost is used as the second deceleration, wherein the movement direction of the electricity user is opposite to that of the other three parties, and its first deceleration is the operation and maintenance cost, and the second deceleration is the product of the electricity transaction price and the electricity transaction volume of the distributor to the power of one-half; Then, five multi-party electricity transaction strategies are selected as power grid dispatching strategies according to the comprehensive distance of each particle in each group of multi-party electricity transaction strategies from the corresponding motion endpoint.

6. A method for all-factor regulation of power grid dispatching based on historical data according to claim 4, characterized in that: The power grid dispatching strategy process includes: a multi-party power transaction strategy in which the comprehensive distance between each party's particles and the corresponding movement end point is the shortest, a multi-party power transaction strategy in which the power generation party's particles are the shortest distance from the corresponding movement end point, a multi-party power transaction strategy in which the transmission party's particles are the shortest distance from the corresponding movement end point, a multi-party power transaction strategy in which the distribution party's particles are the shortest distance from the corresponding movement end point, and a multi-party power transaction strategy in which the power consumption party's particles are the shortest distance from the corresponding movement end point.

7. A method for all-factor regulation of power grid dispatching based on historical data according to claim 6, characterized in that: The selection process of the optimal power grid dispatching strategy includes: obtaining facility operation records of multiple power stations, transmission stations, distribution stations and power consumption areas in each party according to the time index dimension and the space index dimension, and then obtaining stability scores of the power stations, transmission stations, distribution stations and power consumption areas according to the facility operation records; A stability score threshold is set, and power stations, transmission stations or distribution stations with stability scores greater than the stability score threshold are selected and marked in the power grid operation tree diagram in the spatiotemporal series database, and then the power transaction prices and power transaction volumes between the parties in each power grid dispatching strategy are mapped into the power grid operation tree diagram; The overall benefit value of each party of each power grid dispatching strategy and the stability score of the power station, transmission station and distribution station that implement the power grid dispatching strategy are obtained. The numerical result obtained by adding the two is used as the efficiency score of the corresponding power grid dispatching strategy, and the power grid dispatching strategy with the largest efficiency score is selected as the optimal power grid dispatching strategy.

8. A method for all-factor regulation of power grid dispatching based on historical data according to claim 7, characterized in that: The execution process of the optimal power grid dispatching strategy includes: The optimal grid dispatching strategy is split into four sub-grid dispatching strategies, which are sent to the corresponding power stations, transmission stations, distribution stations and power consumption areas respectively. Then, the power stations, transmission stations, distribution stations and power consumption areas trade electricity with each other according to the received sub-grid dispatching strategies. At the end of the day, the day's operation and maintenance costs, equipment operation records and the corresponding power generation costs, transmission costs, distribution costs or economic benefits of each party are generated, thereby generating historical grid operation data.

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