A big data driven power grid new energy dispatching management system and method

Abstract

The present invention relates to the technical field of power dispatching management, and discloses a big data-driven power grid new energy dispatching management system and method. The system comprises a new energy power dispatching information collection and management module, a new energy power dispatching data analysis and management module, and a new energy power dispatching execution management module. Based on numerical analysis, the available power storage information of a distributed new energy power generation terminal at the user end is accurately analyzed, and the real available power storage capacity of the distributed new energy power generation terminal is accurately counted, thereby improving the accuracy and stability of new energy power dispatching management. According to the power demand parameters at the user end and the available power storage parameters of the distributed new energy power generation terminal at the user end, an intelligent search algorithm and characteristic text information of the distributed new energy power generation terminal at the user end are combined to accurately search for the optimal distributed new energy power generation terminal object information required by the user end, thereby improving the scientificity and quality of new energy power dispatching management.

Description

Technical Field

[0001] The present invention relates to the technical field of power dispatching management, and in particular to a big data-driven power grid new energy dispatching management system and method. Background Art

[0002] Grid dispatch management refers to the management of the grid's production operations, grid dispatch systems, and personnel duties by grid dispatching organizations, in accordance with relevant regulations, to ensure the safe, high-quality, and economical operation of the grid. It generally includes dispatch operation management, dispatch plan management, relay protection and safety automatic device management, grid dispatch automation management, power communications management, hydropower plant and reservoir dispatch management, and power system personnel training management. With the widespread adoption of distributed renewable energy generation technologies, the scientific and efficient dispatch and management of distributed renewable energy generation has become a crucial issue. However, existing distributed renewable energy power dispatch management cannot intelligently and accurately match distributed renewable energy generation terminals based on user-side power demand information and transmission loss information, reducing the accuracy and intelligence of renewable energy power dispatch management.

[0003] A Chinese invention patent application with publication number CN106570785A discloses a method and system for intelligent power dispatching of power facilities. The method collects power operation data of a certain area and time, pre-processes the power data and sends it to a background server. At the same time, it combines a prediction model to obtain the power operation dispatch instruction for the next time and autonomously executes the power dispatch operation; thereby realizing intelligent power dispatching. However, the above technical solutions cannot realize scientific and intelligent dispatching and management of power at the distributed renewable energy power generation end. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In order to solve the problem that the above-mentioned existing distributed renewable energy power dispatching management cannot intelligently and accurately match the distributed renewable energy power generation end based on the user-side power demand information and transmission loss information, which reduces the accuracy and intelligence of the new energy power dispatching management, the above purpose is to realize online collection of user-side power demand and user-side geographical area characteristic information, accurate search of user-side distributed renewable energy power generation characteristic information, efficient acquisition of user-side distributed renewable energy power generation power storage, accurate search of distributed renewable energy power generation end to user-side grid unit power transmission loss parameters, scientific statistics of distributed renewable energy power generation end to user-side grid transmission loss, accurate statistics of user-side distributed renewable energy power generation end available power storage, accurate screening of user-side required optimal distributed renewable energy power generation end objects, and scientific and efficient execution of distributed renewable energy power dispatching management operations.

[0006] (2) Technical solution

[0007] The present invention is implemented through the following technical solution: a big data-driven power grid new energy dispatching management method, the method comprising the following steps:

[0008] S1. Collect user-side power demand data and user-side geographic area feature text data;

[0009] S2. Searching for distributed renewable energy power generation terminals within the geographical area where the user terminal is located based on the user terminal geographical area characteristic text data and the distributed renewable energy power generation terminal characteristic text data, and generating user terminal distributed renewable energy power generation terminal characteristic text data;

[0010] S3. Collecting and processing the current power storage capacity information of the user-side distributed new energy power generation end based on the characteristic text data of the user-side distributed new energy power generation end and the power storage capacity data of the distributed new energy power generation end, and generating the power storage capacity data of the user-side distributed new energy power generation end;

[0011] S4. Based on the user-side geographic area feature text data, the user-side distributed renewable energy power generation feature text data, and the distributed renewable energy power generation transmission grid unit power transmission loss data, a search process is performed on the distributed renewable energy power generation-to-user transmission grid unit power transmission loss data to generate the distributed renewable energy power generation-to-user grid unit power transmission loss data.

[0012] S5. Performing numerical statistical processing on the power transmission loss of the distributed renewable energy power generation end to the user-end for power dispatch management based on the user-end power demand data and the unit power transmission loss data of the distributed renewable energy power generation end to the user-end power grid, generating the distributed renewable energy power generation end to the user-end power grid transmission loss data, and performing numerical statistical processing on the actual available power storage data of the distributed renewable energy power generation end with the power storage data of the user-end distributed renewable energy power generation end, thereby constructing the available power storage data of the distributed renewable energy power generation end at the user-end;

[0013] S6. Performing a search process for the optimal distributed renewable energy power generation terminal object information required by the user end based on the user end power demand data, the available power storage data of the distributed renewable energy power generation terminal at the user end, and the characteristic text data of the distributed renewable energy power generation terminal at the user end, thereby generating the optimal distributed renewable energy power generation terminal characteristic text data required by the user end;

[0014] S7. Construct user-side distributed renewable energy power dispatching management data and execute user-side distributed renewable energy power dispatching management operations.

[0015] Preferably, the steps of collecting user-side power demand data and user-side geographic area feature text data are as follows:

[0016] S11. Collect user-side power demand information online through the data collection dialog box of the power management platform and generate user-side power demand data. ,in The unit is megawatt;

[0017] The data collection dialog box of the power management platform is used to collect the specific geographical location information and geographical administrative area information of the user end online, and generate the user end geographical area feature text data The specific geographic location information includes the geographic location coordinate information and geographic location name information of the user terminal, and the geographic administrative area information includes the provincial administrative area information, municipal administrative area information and county administrative area information where the user terminal is located.

[0018] Preferably, the steps of searching for distributed renewable energy power generation terminals within the geographical area where the user terminal is located and generating the user terminal distributed renewable energy power generation terminal characteristic text data are as follows:

[0019] S21. Establishing a feature text data set for distributed new energy power generation , ;in Indicates the Characteristic text data of distributed new energy power generation terminals, Indicates the maximum number of distributed renewable energy power generation terminals; the distributed renewable energy power generation terminal characteristic text data indicates object characteristic information of distributed renewable energy power generation terminals constructed in different geographical locations; the distributed renewable energy power generation terminal characteristic text data includes the distributed renewable energy power generation type information, power generation terminal name information, power generation geographical location information, and power generation capacity information;

[0020] S22, using a depth-restricted search algorithm to search the user-side geographic area feature text data and the distributed new energy power generation terminal feature text data set Characteristic text data of distributed new energy power generation terminal described in Perform geographic location character matching to search for the user's geographic area feature text data Characteristic text data of the distributed new energy power generation terminal corresponding to the distributed new energy power generation terminal in the geographical area , and construct a user-side distributed renewable energy power generation feature text data set , ,in Indicates the Characteristic text data of distributed new energy power generation end at user end, Indicates the The user-end distributed new energy power generation terminal characteristic text data represents object characteristic information of the distributed new energy power generation terminal in the same geographical area as the user end.

[0021] Preferably, the current power storage capacity information of the user-side distributed new energy power generation end is collected and processed based on the characteristic text data of the user-side distributed new energy power generation end and the power storage capacity data of the distributed new energy power generation end, and the operation steps of generating the power storage capacity data of the user-side distributed new energy power generation end are as follows:

[0022] S31. Establish a data set of distributed new energy power generation terminal power storage capacity ,in Indicates the Distributed new energy power generation terminal power storage data, including The unit is megawatt, and the distributed new energy power generation terminal power storage capacity data represents the currently unused power storage capacity of the distributed new energy power generation terminal;

[0023] S32, using a unified cost search algorithm to collect the user-side distributed new energy power generation terminal feature text data set Characteristic text data of distributed renewable energy generation end at the user end as described in to and the distributed new energy generation terminal power storage data set The power storage data of the distributed new energy generation end Perform character matching on the distributed renewable energy power generation terminal number to search for the characteristic text data of the user-side distributed renewable energy power generation terminal to The corresponding distributed new energy power generation end power storage data , and build a user-side distributed renewable energy power generation end power storage data set ,in Indicates the The power storage data of distributed new energy generation end at each user end, Indicates the The power storage data of distributed new energy generation end at the user end, including and The units are all megawatts, and the user-side distributed renewable energy power generation terminal power storage capacity data represents the power storage capacity information of the distributed renewable energy power generation terminal in the same geographical area as the user-side.

[0024] Preferably, based on the user-side geographic area feature text data, the user-side distributed renewable energy power generation feature text data, and the distributed renewable energy power generation unit power transmission loss data of the transmission grid, a search process for the unit power transmission loss of the transmission grid from the distributed renewable energy power generation end to the user-side is performed to generate the unit power transmission loss data of the distributed renewable energy power generation end to the user-side power grid as follows:

[0025] S41. Establish a data set on unit power transmission loss of distributed renewable energy power generation transmission grids ,in Indicates the The unit power transmission loss data of the distributed new energy power generation end transmission grid is as follows: The unit is megawatt. The unit power transmission loss data of the distributed renewable energy power generation terminal transmission grid represents the power consumption data of the distributed renewable energy power generation terminal corresponding to the transmission grid constructed in different geographical locations for each megawatt of power transmitted by the transmission grid.

[0026] S42, using a depth-limited search algorithm to search the user-side geographic area feature text data , the user-side distributed new energy power generation end feature text data set Characteristic text data of distributed renewable energy generation end at the user end as described in to The data set of unit power transmission loss of the distributed new energy power generation end transmission grid The unit power transmission loss data of the distributed renewable energy power generation transmission grid mentioned in Perform keyword matching of geographic location and distributed renewable energy generation terminal number to search for the user terminal geographic area feature text data and the user-side distributed renewable energy generation terminal characteristic text data to The corresponding unit power transmission loss data of the distributed new energy power generation end transmission grid , and build a data set of unit power transmission loss from distributed renewable energy power generation to user end ,in Indicates the The unit power transmission loss data of the distributed new energy power generation end to the user end of the power grid, Indicates the The unit power transmission loss data of the distributed renewable energy power generation end to the user end of the power grid, including and The units are all megawatts. The unit power transmission loss data of the distributed renewable energy power generation end to the user end power grid represents the power consumption data of the transmission grid corresponding to the distributed renewable energy power generation end in the same geographical area as the user end when the transmission grid transmits one megawatt of electricity.

[0027] Preferably, based on the user-side power demand data and the unit power transmission loss data of the distributed renewable energy power generation end to the user-side grid, numerical statistical processing of the grid transmission loss for power dispatching management from the distributed renewable energy power generation end to the user-side is performed, the distributed renewable energy power generation end to the user-side grid transmission loss data is generated, and numerical statistical processing of the actual available power storage of the distributed renewable energy power generation end is performed with the power storage data of the user-side distributed renewable energy power generation end, and the operating steps for constructing the available power storage data of the user-side distributed renewable energy power generation end are as follows:

[0028] S51, the user-side power demand data The data set of unit power transmission loss from the distributed renewable energy power generation end to the user end of the power grid The unit power transmission loss data of the distributed renewable energy power generation end to the user end of the power grid to Carry out the product measurement of the power demand at the user end and the power transmission loss of the power grid unit, and generate a data set of the power transmission loss from the distributed renewable energy power generation end to the user end. ,in Indicates the The data on power transmission loss from distributed renewable energy generation to user-end grid, Indicates the The data on power transmission loss from distributed renewable energy generation to user-end power grid is as follows: , ; and The unit of each is megawatt. The data on power transmission loss from distributed renewable energy power generation end to user end grid represents the total power loss data required for the distributed renewable energy power generation end to transmit the power required by the user end through the transmission grid;

[0029] S52, the user-side distributed new energy power generation end power storage data set The power storage data of the distributed renewable energy generation end at the user end to The data set of power transmission loss from the distributed renewable energy generation end to the user end The data on power transmission loss from distributed renewable energy generation to user end is as follows: to Perform differential measurement of power storage and power grid transmission loss, and construct a data set of available power storage at the user-side distributed renewable energy generation end. ,in Indicates the Data on the available power storage capacity of distributed renewable energy power generation terminals at the user end, Indicates the The available power storage data of distributed new energy generation end at user end, including and The units are all megawatts. The available power storage capacity data of the distributed new energy power generation end at the user end represents the actual power storage capacity information available to the user end at the distributed new energy power generation end in the same geographical area as the user end.

[0030] Preferably, the steps of searching for the optimal distributed renewable energy power generation terminal object information required by the user end are performed based on the user end power demand data, the available power storage data of the distributed renewable energy power generation terminal at the user end, and the characteristic text data of the distributed renewable energy power generation terminal at the user end, and generating the optimal distributed renewable energy power generation terminal characteristic text data required by the user end are as follows:

[0031] S61, the user-side power demand data The data set of available power storage capacity of the distributed new energy power generation end at the user end The user-side distributed renewable energy power generation terminal can use the power storage data to compare the power demand and power storage values, and search for the power storage that is not less than the power demand data of the user-side. The distributed new energy power generation terminal number information corresponding to the available power storage data of the user-side distributed new energy power generation terminal with the largest power storage value is constructed, and the optimal distributed new energy power generation terminal object text data required by the user-side is constructed. , execute to generate the optimal distributed new energy power generation end object text data required by the user end The specific steps are as follows:

[0032] S611, initializing parameters and updating the maximum number of iterations T of the algorithm;

[0033] S612, initialize the new energy power generation end to search for the location of the seagull population, that is, the new energy power generation end searches for the seagull population to update the available power storage data set of the distributed new energy power generation end at the user end Position in the search space;

[0034] S613: Calculate the available power storage data set of the user-side distributed new energy power generation end All the available power storage data of the user-side distributed new energy generation end and the power demand data of the user-side The fitness value in the data set is retained in the data set of the available power storage capacity of the distributed renewable energy power generation end at the user end. The search space is related to the user's power demand data The global optimal position of the available power storage data of the user-side distributed renewable energy power generation end having the largest fitness value;

[0035] S614, Migration, Global Search: There are three main steps in searching for seagull migration behavior at the renewable energy power generation end. The first step is to meet the data set of available power storage capacity at the distributed renewable energy power generation end at the user end. The conditions for avoiding collisions between seagulls at different renewable energy power generation ends in the search space are as follows; secondly, the available power storage data set of the distributed renewable energy power generation end at the user end is calculated. The search space satisfies the requirement that the power storage capacity is not less than the power demand data of the user end. The optimal location direction of the available power storage data of the user-side distributed new energy power generation end with the largest power storage value; the third is based on the power storage capacity not less than the power demand data of the user-side and the user-side distributed new energy power generation end with the largest power storage value moves to a new position in the direction of the optimal position where the available power storage data is located;

[0036] S6141, calculating the data set of available power storage capacity of the distributed new energy power generation end at the user end by searching the seagull at the new energy power generation end Search for a new position in the space that does not collide with the adjacent new energy generation terminal during movement ;in Represents the data set of the available power storage capacity of the distributed new energy power generation end at the user end by searching for the seagull at the new energy power generation end at the user end The current position in the search space, Indicates the current iteration number; Represents the data set of the available power storage capacity of the distributed new energy generation end at the user end by searching for the seagull at the new energy generation end at the user end Movement behavior in the search space; Display Control A function of the frequency of change, Indicates the maximum number of iterations;

[0037] S6142, calculating the available power storage data set of the distributed new energy power generation end at the user end The search space satisfies the requirement that the power storage capacity is not less than the power demand capacity of the user terminal. The optimal location direction of the available power storage data of the distributed new energy power generation end at the user end with the largest power storage value ;

[0038] , ,in Represents the data set of available power storage capacity of the distributed renewable energy power generation end at the user end Search the search space to find data that satisfies the requirement that the power storage capacity is not less than the power demand of the user end. The current optimal location of the available power storage data of the user-side distributed new energy power generation end with the largest power storage value, Search for the available power storage data set of the seagull at the user end distributed new energy power generation end for the new energy power generation end Current position in the search space; A random number representing a balance between global and local search capabilities, Represents a random number in the range [0,1];

[0039] S6143, according to the power storage capacity not less than the user end power demand data The user-end distributed new energy power generation end with the largest power storage value moves to a new position in the direction of the optimal position where the power storage data is located. , , that is, the data set of available power storage capacity at the distributed renewable energy generation end at the user end according to the direction of the optimal position Search the search space to find data that satisfies the requirement that the power storage capacity is not less than the power demand of the user end. and the new location of the available power storage data of the user-side distributed new energy power generation end having the largest power storage value;

[0040] S615, attack prey, local search, the new energy power generation end searches for the seagull at the user end distributed new energy power generation end available power storage amount data set The attack in the search space satisfies the requirement that the power storage capacity is not less than the power demand data of the user terminal. The user-end distributed new energy power generation end with the largest power storage value can perform spiral motion in the air when hunting, and at the same time identify the user-end power demand data that meets the power storage value of not less than the power demand data of the user-end. The user-end distributed renewable energy power generation end with the largest power storage value has available power storage data, and the renewable energy power generation end searches for the new position of the seagull after it attacks its prey. , , that is, the new energy power generation end searches for the seagull at the user end distributed new energy power generation end available power storage data set Search the search space to find data that satisfies the requirement that the power storage capacity is not less than the power demand of the user end. And the available power storage data of the user-side distributed new energy power generation end with the largest power storage value;

[0041] S616: Determine whether the maximum number of iterations is met, and output the data that the power storage capacity is not less than the power demand capacity of the user end. and the available power storage capacity data of the distributed renewable energy power generation end at the user end with the largest power storage capacity value; if not satisfied, return to step S613;

[0042] S617, the data outputted in step S616 that satisfies the requirement that the power storage capacity is not less than the power demand capacity of the user terminal The distributed new energy power generation terminal number information corresponding to the available power storage data of the user-side distributed new energy power generation terminal with the largest power storage value is constructed, and the optimal distributed new energy power generation terminal object text data required by the user-side is constructed. ;

[0043] S62, the optimal distributed new energy power generation end object text data required by the user end and the user-side distributed renewable energy generation terminal feature text data set Characteristic text data of distributed renewable energy generation end at the user end as described in to Perform character matching on the distributed renewable energy power generation terminal number to search for the optimal distributed renewable energy power generation terminal object text data required by the user terminal The corresponding user-side distributed renewable energy power generation terminal feature text data, and construct the optimal distributed renewable energy power generation terminal feature text data required by the user side .

[0044] Preferably, the steps of constructing the user-side distributed renewable energy power dispatching management data and executing the user-side distributed renewable energy power dispatching management operation are as follows:

[0045] S71, the user-side power demand data The optimal distributed new energy power generation terminal feature text data required by the user terminal Combine data to build user-side distributed new energy power dispatch management data ,in ;

[0046] S72, the power management platform dispatches and manages the distributed new energy power at the user end based on the data Control the optimal distributed new energy power generation terminal feature text data required by the user terminal The corresponding distributed new energy power generation end is based on the user end power demand data Perform user-side distributed renewable energy power dispatching and management operations.

[0047] A big data-driven power grid new energy dispatch management system, used to implement the big data-driven power grid new energy dispatch management method, the system includes a new energy power dispatch information collection and management module, a new energy power dispatch data analysis and management module, and a new energy power dispatch execution management module;

[0048] The new energy power dispatching information collection and management module includes a user-side power demand information collection unit, a user-side geographic area feature information collection unit, a distributed new energy power generation end feature information storage unit, and a user-side distributed new energy power generation end feature information search unit;

[0049] The user-end power demand information collection unit collects user-end power demand data through the power management platform; the user-end geographic area feature information collection unit collects user-end geographic area feature text data through the power management platform; the distributed new energy power generation end feature information storage unit is used to store the distributed new energy power generation end feature text data; the user-end distributed new energy power generation end feature information search unit searches for distributed new energy power generation ends within the user-end geographical area based on the user-end geographic area feature text data and the distributed new energy power generation end feature text data, and generates user-end distributed new energy power generation end feature text data;

[0050] The new energy power dispatching data analysis and management module includes a distributed new energy power generation end power storage unit, a user-side distributed new energy power generation end power storage unit, a distributed new energy power generation end transmission grid unit power transmission loss unit storage unit, a distributed new energy power generation end to user-side grid unit power transmission loss unit search unit, a distributed new energy power generation end to user-side grid transmission loss metering unit, a user-side distributed new energy power generation end available power storage metering unit, and a user-side optimal distributed new energy power generation end object feature information screening unit;

[0051] The distributed new energy power generation end power storage capacity storage unit is used to store the distributed new energy power generation end power storage capacity data; the user-side distributed new energy power generation end power storage capacity search unit performs current power storage capacity information collection and processing on the user-side distributed new energy power generation end according to the user-side distributed new energy power generation end feature text data and the distributed new energy power generation end power storage capacity data, and generates the user-side distributed new energy power generation end power storage capacity data; the distributed new energy power generation end transmission grid unit power transmission loss capacity storage unit is used to store the distributed new energy power generation end transmission grid unit power transmission loss capacity data; the distributed new energy power generation end to user-side power grid unit power transmission loss capacity search unit performs unit power transmission loss capacity search and processing on the distributed new energy power generation end to user-side power grid unit power transmission loss capacity based on the user-side geographical area feature text data, the user-side distributed new energy power generation end feature text data and the distributed new energy power generation end transmission grid unit power transmission loss capacity data, and generates the distributed new energy power generation end to user-side power grid unit power transmission loss capacity data; the distributed new energy power generation end to user-side power grid unit power transmission loss capacity search unit The user-end power grid transmission loss metering unit performs numerical statistical processing of the power grid transmission loss from the distributed renewable energy power generation end to the user-end power dispatching management based on the power demand data of the user-end and the unit power transmission loss data of the distributed renewable energy power generation end to the user-end, and generates the power grid transmission loss data from the distributed renewable energy power generation end to the user-end; the user-end distributed renewable energy power generation end available power storage metering unit performs numerical statistical processing of the actual available power storage of the distributed renewable energy power generation end based on the power grid transmission loss data from the distributed renewable energy power generation end to the user-end and the power storage data of the distributed renewable energy power generation end at the user-end, and constructs the available power storage data of the distributed renewable energy power generation end at the user-end; the user-end optimal distributed renewable energy power generation end object feature information screening unit performs search processing of the optimal distributed renewable energy power generation end object information required by the user-end based on the power demand data of the user-end, the available power storage data of the distributed renewable energy power generation end at the user-end and the feature text data of the distributed renewable energy power generation end at the user-end, and generates the optimal distributed renewable energy power generation end feature text data required by the user-end;

[0052] The new energy power dispatch execution management module includes a user-side distributed new energy power dispatch management information construction unit and a user-side distributed new energy power dispatch management job execution unit;

[0053] The user-end distributed new energy power dispatching management information construction unit is used to construct the user-end distributed new energy power dispatching management data; the user-end distributed new energy power dispatching management operation execution unit executes the user-end distributed new energy power dispatching management operation based on the user-end distributed new energy power dispatching management data in combination with the power management platform.

[0054] (3) Beneficial effects

[0055] The present invention provides a big data-driven power grid new energy dispatching management system and method. It has the following beneficial effects:

[0056] Through the power management platform, the user-side power demand information and the user-side geographical area characteristic text information are accurately collected to provide reliable data support for the precise dispatching and management of new energy power. Based on the big data storage of distributed new energy power generation characteristic text information combined with intelligent search algorithms and user-side geographical area characteristic text information, the user-side distributed new energy power generation object information is accurately screened to achieve accurate and scientific screening of distributed new energy power generation objects in the user's geographical area, thereby improving the intelligence and rationality of new energy power dispatching management.

[0057] 2. Accurately collect the power storage capacity of distributed renewable energy power generation end at the user end by combining the characteristic text information of distributed renewable energy power generation end at the user end with intelligent search algorithm and scientific preset distributed renewable energy power generation end power storage capacity information, and provide reliable support for scientific statistics of the real available power storage capacity of distributed renewable energy power generation end; Based on the characteristic text information of geographical area at the user end, characteristic text information of distributed renewable energy power generation end at the user end, combined with intelligent search algorithm and the unit power transmission loss information of distributed renewable energy power generation end transmission grid set based on big data, the unit power transmission loss parameters of the transmission grid from distributed renewable energy power generation end to user end are efficiently and intelligently retrieved, and at the same time, the distributed renewable energy power generation end is autonomously measured by combining numerical processing. The information on power grid transmission losses from renewable energy power generation to user-end is collected to realize accurate digital statistics of power grid transmission losses from distributed renewable energy power generation to user-end. The information on available power storage capacity of distributed renewable energy power generation at the user-end is accurately analyzed based on numerical analysis to realize accurate statistics of the real available power storage capacity of distributed renewable energy power generation, thereby improving the accuracy and stability of new energy power dispatching and management. The information on the optimal distributed renewable energy power generation object required by the user-end is accurately searched based on the power demand parameters at the user-end and the available power storage parameters of the distributed renewable energy power generation at the user-end, combined with the intelligent search algorithm and the characteristic text information of the distributed renewable energy power generation at the user-end, thereby improving the scientificity and quality of new energy power dispatching and management.

[0058] 3. By combining numerical processing with the user-side power demand and the user-side optimal distributed renewable energy power generation object information, the user-side distributed renewable energy power dispatching management information is constructed efficiently and timely, and the online and accurate collection of renewable energy power dispatching information is realized, thereby improving the response speed of renewable energy power dispatching management. Based on the user-side distributed renewable energy power dispatching management information and combined with the power management platform, the user-side distributed renewable energy power dispatching management operations are independently and accurately executed, ensuring the safe and reliable execution of renewable energy power dispatching and improving the efficiency and safety of renewable energy power dispatching management. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A schematic diagram of a module of a big data-driven power grid new energy dispatching and management system provided by the present invention;

[0060] Figure 2 This is a flow chart of a big data driven power grid new energy dispatching management method provided by the present invention. DETAILED DESCRIPTION

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0062] The embodiments of the big data driven power grid new energy dispatching management system and method are as follows: Example

[0063] See also Figure 1 - Figure 2 A big data-driven power grid new energy dispatching management method includes the following steps:

[0064] S1. Collect user-side power demand data and user-side geographic area feature text data;

[0065] S2. Searching for distributed renewable energy power generation terminals within the geographical area where the user terminal is located based on the user terminal geographical area feature text data and the distributed renewable energy power generation terminal feature text data, and generating the user terminal distributed renewable energy power generation terminal feature text data;

[0066] S3. Collect and process the current power storage capacity information of the distributed renewable energy power generation end at the user end based on the characteristic text data of the distributed renewable energy power generation end at the user end and the power storage capacity data of the distributed renewable energy power generation end at the user end, and generate the power storage capacity data of the distributed renewable energy power generation end at the user end;

[0067] S4. Based on the user-side geographic area feature text data, the user-side distributed renewable energy power generation feature text data, and the distributed renewable energy power generation transmission grid unit power transmission loss data, a search process is performed on the distributed renewable energy power generation end to the user-side transmission grid unit power transmission loss data to generate the distributed renewable energy power generation end to the user-side grid unit power transmission loss data;

[0068] S5. Perform numerical statistical processing on the power transmission loss of the distributed renewable energy power generation end to the user-end for power dispatch management based on the power demand data at the user end and the unit power transmission loss data of the distributed renewable energy power generation end to the user-end, generate the power transmission loss data of the distributed renewable energy power generation end to the user-end, and perform numerical statistical processing on the actual available power storage data of the distributed renewable energy power generation end at the user-end, to construct the available power storage data of the distributed renewable energy power generation end at the user-end;

[0069] S6. Perform search processing on the optimal distributed renewable energy power generation terminal object information required by the user end based on the user end power demand data, the available power storage data of the distributed renewable energy power generation terminal at the user end, and the characteristic text data of the distributed renewable energy power generation terminal at the user end, and generate the optimal distributed renewable energy power generation terminal characteristic text data required by the user end;

[0070] S7. Construct user-side distributed renewable energy power dispatching management data and execute user-side distributed renewable energy power dispatching management operations.

[0071] For further information, see Figure 1 - Figure 2 The steps for collecting user-side power demand data and user-side geographic area feature text data are as follows:

[0072] S11. Collect user-side power demand information online through the data collection dialog box of the power management platform and generate user-side power demand data. ,in The unit is megawatt;

[0073] The data collection dialog box of the power management platform is used to collect the specific geographical location information and geographical administrative area information of the user end online, and generate the user end geographical area feature text data The specific geographic location information includes the geographic location coordinate information and geographic location name information of the user terminal, and the geographic administrative area information includes the provincial administrative area information, municipal administrative area information and county administrative area information where the user terminal is located.

[0074] The steps for searching for distributed renewable energy power generation terminals in the geographical area where the user terminal is located and generating the characteristic text data of the distributed renewable energy power generation terminals at the user terminal are as follows:

[0075] S21. Establishing a feature text data set for distributed new energy power generation , ;in Indicates the Characteristic text data of distributed new energy power generation terminals, Indicates the maximum number of distributed renewable energy power generation terminals; distributed renewable energy power generation terminal feature text data indicates the object feature information of distributed renewable energy power generation terminals built in different geographical locations; distributed renewable energy power generation terminal feature text data includes the distributed renewable energy power generation type information, power generation terminal name information, power generation geographical location information, and power generation capacity information;

[0076] S22, using a depth-restricted search algorithm to convert the user-side geographic area feature text data and distributed new energy power generation terminal feature text data collection Characteristic text data of distributed new energy power generation in China Perform geographic location character matching to search for user-side geographic area feature text data Distributed renewable energy power generation terminal feature text data corresponding to the distributed renewable energy power generation terminal in the geographical area , and construct a user-side distributed renewable energy power generation feature text data set , ,in Indicates the Characteristic text data of distributed new energy power generation end at user end, Indicates the The characteristic text data of the distributed new energy power generation terminal at the user end represents the object characteristic information of the distributed new energy power generation terminal in the same geographical area as the user end.

[0077] Through the cooperation between the user-side power demand information collection unit and the user-side geographic area feature information collection unit, the power management platform is used to accurately collect user-side power demand information and user-side geographic area feature text information, providing reliable data support for the precise scheduling and management of new energy power; the distributed new energy power generation end feature information storage unit and the user-side distributed new energy power generation end feature information search unit cooperate with each other, based on the big data storage of distributed new energy power generation end feature text information combined with intelligent search algorithm and user-side geographic area feature text information to accurately screen the user-side distributed new energy power generation end object information, realize accurate and scientific screening of distributed new energy power generation end objects in the user's geographic area, and improve the intelligence and rationality of new energy power scheduling and management.

[0078] For further information, see Figure 1 - Figure 2 The current power storage capacity information of the distributed renewable energy power generation end at the user end is collected and processed based on the characteristic text data of the distributed renewable energy power generation end at the user end and the power storage capacity data of the distributed renewable energy power generation end at the user end. The operation steps for generating the power storage capacity data of the distributed renewable energy power generation end at the user end are as follows:

[0079] S31. Establish a data set of distributed new energy power generation terminal power storage capacity ,in Indicates the Distributed new energy power generation terminal power storage data, including The unit is megawatt. The power storage capacity data of the distributed renewable energy generation end represents the currently unused power storage capacity of the distributed renewable energy generation end.

[0080] S32, using a unified cost search algorithm to collect the user-side distributed renewable energy power generation feature text data Characteristic text data of distributed renewable energy generation end at the user end to Data collection of power storage capacity at distributed renewable energy generation terminals Power storage data of distributed new energy generation in China Perform character matching on the distributed renewable energy power generation terminal number to search for the characteristic text data of the user-side distributed renewable energy power generation terminal to Corresponding distributed renewable energy power generation end power storage data , and build a user-side distributed renewable energy power generation end power storage data set ,in Indicates the The power storage data of distributed new energy generation end at each user end, Indicates the The power storage data of distributed new energy generation end at the user end, including and The units are all megawatts. The power storage capacity data of the distributed renewable energy power generation end at the user end represents the power storage capacity information of the distributed renewable energy power generation end in the same geographical area as the user end.

[0081] Based on the user-side geographic area feature text data, the user-side distributed renewable energy power generation feature text data, and the distributed renewable energy power generation transmission grid unit power transmission loss data, a search and processing of the distributed renewable energy power generation-to-user transmission grid unit power transmission loss data is performed. The steps for generating the distributed renewable energy power generation-to-user grid unit power transmission loss data are as follows:

[0082] S41. Establish a data set on unit power transmission loss of distributed renewable energy power generation transmission grids ,in Indicates the The unit power transmission loss data of the distributed new energy power generation end transmission grid is as follows: The unit is megawatt. The unit power transmission loss data of the distributed renewable energy power generation transmission grid represents the power consumption data of the distributed renewable energy power generation transmission grid built in different geographical locations for every megawatt of power transmitted by the transmission grid.

[0083] S42, using a depth-restricted search algorithm to convert the user-side geographic area feature text data , user-side distributed renewable energy power generation feature text data set Characteristic text data of distributed renewable energy generation end at the user end to Data collection of unit power transmission loss of distributed renewable energy power generation transmission grid Data on unit power transmission loss of distributed renewable energy power generation in China Perform keyword matching of geographic location and distributed renewable energy generation terminal number to search for user-side geographic area feature text data and user-side distributed renewable energy generation feature text data to Corresponding distributed renewable energy power generation unit power transmission grid loss data , and build a data set of unit power transmission loss from distributed renewable energy power generation to user end ,in Indicates the The unit power transmission loss data of the distributed new energy power generation end to the user end of the power grid, Indicates the The unit power transmission loss data of the distributed renewable energy power generation end to the user end of the power grid, including and The units are all megawatts. The data on unit power transmission loss of the power grid from the distributed renewable energy power generation end to the user end refers to the power consumption data of the transmission grid corresponding to the distributed renewable energy power generation end in the same geographical area as the user end when the transmission grid transmits one megawatt of electricity.

[0084] Based on the user-side power demand data and the unit power transmission loss data of the distributed renewable energy power generation end to the user-side grid, numerical statistical processing of the grid transmission loss data of the distributed renewable energy power generation end to the user-side power dispatch management is performed to generate the distributed renewable energy power generation end to the user-side grid transmission loss data and perform numerical statistical processing of the actual available power storage data of the distributed renewable energy power generation end on the user-side distributed renewable energy power generation end. The operation steps for constructing the available power storage data of the distributed renewable energy power generation end at the user-side are as follows:

[0085] S51, user-side power demand data Data collection of unit power transmission loss from distributed renewable energy generation to user-end grid Data on unit power transmission loss of the power grid from distributed renewable energy generation to user end to Carry out the product measurement of the power demand at the user end and the power transmission loss of the power grid unit, and generate a data set of the power transmission loss from the distributed renewable energy power generation end to the user end. ,in Indicates the The data on power transmission loss from distributed renewable energy generation to user-end grid, Indicates the The data on power transmission loss from distributed renewable energy generation to user-end power grid is as follows: , ; and The unit is megawatt. The data on power transmission loss from distributed renewable energy power generation to user-end grid refers to the total power loss required by distributed renewable energy power generation to transmit the power required by the user-end through the transmission grid.

[0086] S52, collect the power storage data of the distributed new energy power generation end at the user end Power storage data of distributed renewable energy generation at the user end to Data collection of power transmission loss from distributed renewable energy generation to user-end grid Data on power transmission losses from distributed renewable energy generation to user-end grids to Perform differential measurement of power storage and power grid transmission loss, and construct a data set of available power storage at the user-side distributed renewable energy generation end. ,in Indicates the Data on the available power storage capacity of distributed renewable energy power generation terminals at the user end, Indicates the The available power storage data of distributed new energy generation end at user end, including and The units are all megawatts. The available power storage capacity data of the distributed renewable energy power generation end at the user end represents the actual power storage capacity information available to the user end at the distributed renewable energy power generation end in the same geographical area as the user end.

[0087] Based on the user-side power demand data, the user-side distributed renewable energy power generation terminal available power storage data, and the user-side distributed renewable energy power generation terminal feature text data, the optimal distributed renewable energy power generation terminal object information required by the user-side is searched and processed. The operation steps for generating the optimal distributed renewable energy power generation terminal feature text data required by the user-side are as follows:

[0088] S61, user-side power demand data Data collection of available power storage capacity at the user-side distributed renewable energy generation end Compare the power demand and power storage values ​​of the distributed renewable energy power generation end at the user end with the available power storage data, and search for the power storage that is not less than the power demand data at the user end. The distributed renewable energy generation terminal number information corresponding to the available power storage data of the user-side distributed renewable energy generation terminal with the largest power storage value is constructed, and the optimal distributed renewable energy generation terminal object text data required by the user-side is constructed. , execute to generate the optimal distributed renewable energy power generation end object text data required by the user end The specific steps are as follows:

[0089] S611, initializing parameters and updating the maximum number of iterations T of the algorithm;

[0090] S612, initialize the new energy power generation end to search for the location of the seagull population, that is, the new energy power generation end searches for the seagull population and updates the data set of the available power storage amount of the distributed new energy power generation end at the user end Position in the search space;

[0091] S613. Calculate the available power storage data set of the distributed new energy power generation end at the user end All user-side distributed renewable energy generation available power storage data and user-side power demand data The fitness value in the data set is retained at the user-side distributed renewable energy generation end and the available power storage capacity data set is retained at the user-side distributed renewable energy generation end The search space and the user-side power demand data The global optimal location of the available power storage data of the distributed renewable energy generation end at the user end with the largest fitness value;

[0092] S614, Migration, Global Search: There are three main steps to search for seagull migration behavior at the renewable energy power generation end. The first step is to meet the data set of available power storage capacity at the user end distributed renewable energy power generation end. The search space is used to search for conditions for avoiding collisions between individual seagulls at different renewable energy power generation terminals. Secondly, the available power storage data set at the user-side distributed renewable energy power generation terminal is calculated. Search space to satisfy the requirement that the power storage capacity is not less than the power demand of the user end The optimal location direction of the available power storage data of the distributed new energy power generation end at the user end with the largest power storage value; the third is based on the power storage capacity not less than the power demand data at the user end. The user-side distributed renewable energy generation end with the largest power storage value moves to a new position in the direction of the optimal location of the available power storage data;

[0093] S6141, calculate the available power storage data set of the new energy power generation end search seagull at the user end distributed new energy power generation end Search for a new position in the space that does not collide with the adjacent new energy generation terminal during movement ; , ;in Represents the data set of the available power storage capacity of the distributed renewable energy power generation end at the user end by searching for Seagull at the renewable energy power generation end at the user end The current position in the search space, Indicates the current iteration number; Represents the data set of the available power storage capacity of the distributed renewable energy power generation end at the user end by searching for Seagull at the renewable energy power generation end at the user end Movement behavior in the search space; Display Control A function of the frequency of change, Indicates the maximum number of iterations;

[0094] S6142, calculate the data set of available power storage capacity at the user-side distributed renewable energy generation end Search space to satisfy the requirement that the power storage capacity is not less than the power demand of the user end The optimal location direction of the available power storage data of the distributed renewable energy power generation end at the user end with the largest power storage value ; , ,in Represents the data set of available power storage capacity at the user-side distributed renewable energy generation end Search the search space to find data that satisfies the requirement that the power storage capacity is not less than the power demand of the user end. The current optimal location of the available power storage data of the distributed renewable energy power generation end at the user end with the largest power storage value, Search for Seagull's available power storage data set at the user-side distributed renewable energy power generation end for renewable energy power generation end Current position in the search space; A random number representing a balance between global and local search capabilities, Represents a random number in the range [0,1];

[0095] S6143, based on the data that the power storage capacity is not less than the power demand of the user end The distributed new energy generation end at the user end with the largest power storage value moves to a new position in the direction of the optimal location of the available power storage data. , , that is, the data set of available power storage capacity at the user-side distributed renewable energy generation end according to the direction of the optimal location Search the search space to find data that satisfies the requirement that the power storage capacity is not less than the power demand of the user end. And the new location of the available power storage data of the distributed renewable energy power generation end at the user end with the largest power storage value;

[0096] S615, attack prey, local search, new energy power generation end search seagulls at the user end distributed new energy power generation end available power storage data collection The attack in the search space satisfies the requirement that the power storage capacity is not less than the power demand data of the user end. The user-side distributed new energy power generation end with the largest power storage capacity can perform spiral motion in the air when hunting, and at the same time identify the user-side distributed new energy power generation end with a power storage capacity not less than the power demand data of the user-side. The available power storage data of the distributed renewable energy power generation end at the user end with the largest power storage capacity, and the renewable energy power generation end searches for the new location of the seagull after it attacks its prey. , , that is, the new energy power generation end searches for the data set of the available power storage capacity of the distributed new energy power generation end at the user end Search the search space to find data that satisfies the requirement that the power storage capacity is not less than the power demand of the user end. And the available power storage data of the distributed renewable energy power generation end at the user end with the largest power storage value;

[0097] S616: Determine whether the maximum number of iterations is met, and output the data that the power storage capacity is not less than the power demand capacity of the user end. And the available power storage data of the distributed renewable energy power generation end at the user end with the largest power storage value; if not satisfied, return to step S613;

[0098] S617, the data outputted in step S616 that satisfies the requirement that the power storage capacity is not less than the power demand capacity of the user end The distributed renewable energy generation terminal number information corresponding to the available power storage data of the user-side distributed renewable energy generation terminal with the largest power storage value is constructed, and the optimal distributed renewable energy generation terminal object text data required by the user-side is constructed. ;

[0099] S62, the optimal distributed new energy power generation end object text data required by the user end and the user-side distributed renewable energy generation feature text data set Characteristic text data of distributed renewable energy generation end at the user end to Perform character matching on the distributed renewable energy power generation terminal number to search for the optimal distributed renewable energy power generation terminal object text data required by the user end The corresponding user-side distributed renewable energy power generation feature text data, and construct the optimal distributed renewable energy power generation feature text data required by the user side .

[0100] Through the user-side distributed renewable energy power generation end power storage search unit, the user-side distributed renewable energy power generation end power storage is accurately collected according to the user-side distributed renewable energy power generation end feature text information combined with intelligent search algorithm and scientific preset distributed renewable energy power generation end power storage information, providing reliable support for scientific statistics of the real available power storage capacity of distributed renewable energy power generation end; the distributed renewable energy power generation end to user-side grid unit power transmission loss search unit and the distributed renewable energy power generation end to user-side grid transmission loss metering unit cooperate with each other, based on the user-side geographic area feature text information, the user-side distributed renewable energy power generation end feature text information combined with intelligent search algorithm and the distributed renewable energy power generation end transmission grid unit power transmission loss information based on big data setting, the distributed renewable energy power generation end to user-side transmission grid unit power transmission loss parameters are efficiently and intelligently retrieved. Combined with numerical processing, it can independently measure the transmission loss information of the distributed renewable energy power generation end to the user-end power grid, and realize the digital and accurate statistics of the transmission loss of the distributed renewable energy power generation end to the user-end power grid; the user-end distributed renewable energy power generation end available power storage metering unit accurately analyzes the available power storage information of the user-end distributed renewable energy power generation end based on numerical analysis, and realizes the accurate statistics of the real available power storage of the distributed renewable energy power generation end, thereby improving the accuracy and stability of the new energy power dispatching management; the user-end required optimal distributed renewable energy power generation end object feature information screening unit, based on the user-end power demand parameters, the user-end distributed renewable energy power generation end available power storage parameters combined with the intelligent search algorithm and the user-end distributed renewable energy power generation end feature text information, accurately searches for the user-end required optimal distributed renewable energy power generation end object information, thereby improving the scientificity and quality of the new energy power dispatching management.

[0101] For further information, see Figure 1 - Figure 2 The steps for constructing user-side distributed renewable energy power dispatch management data and executing user-side distributed renewable energy power dispatch management operations are as follows:

[0102] S71, user-side power demand data , optimal distributed renewable energy generation feature text data required by the user side Combine data to build user-side distributed new energy power dispatch management data ,in ;

[0103] S72, the power management platform is based on the user-side distributed new energy power dispatch management data Control the optimal distributed renewable energy generation feature text data required by the user end The corresponding distributed new energy power generation end is based on the user-side power demand data Perform user-side distributed renewable energy power dispatching and management operations.

[0104] Through the user-side distributed new energy power dispatching management information construction unit, based on the user-side power demand and the user-side optimal distributed new energy power generation object information combined with numerical processing, the user-side distributed new energy power dispatching management information is constructed efficiently and timely, so as to realize the online and accurate collection of new energy power dispatching information and improve the response speed of new energy power dispatching management; the user-side distributed new energy power dispatching management operation execution unit independently and accurately executes the user-side distributed new energy power dispatching management operation based on the user-side distributed new energy power dispatching management information combined with the power management platform, so as to ensure the safe and reliable execution of new energy power dispatching and improve the efficiency and safety of new energy power dispatching management.

[0105] Example 2:

[0106] See also Figure 1 - Figure 2 A big data-driven power grid new energy dispatching and management system is used to implement a big data-driven power grid new energy dispatching and management method. The system includes a new energy power dispatching information collection and management module, a new energy power dispatching data analysis and management module, and a new energy power dispatching execution management module.

[0107] The new energy power dispatching information collection and management module includes a user-side power demand information collection unit, a user-side geographic area feature information collection unit, a distributed new energy power generation feature information storage unit, and a user-side distributed new energy power generation feature information search unit;

[0108] A user-side power demand information collection unit collects user-side power demand data through the power management platform; a user-side geographic area feature information collection unit collects user-side geographic area feature text data through the power management platform; a distributed new energy power generation end feature information storage unit is used to store the distributed new energy power generation end feature text data; a user-side distributed new energy power generation end feature information search unit searches for distributed new energy power generation ends within the user-side geographical area based on the user-side geographic area feature text data and the distributed new energy power generation end feature text data, and generates user-side distributed new energy power generation end feature text data;

[0109] The new energy power dispatching data analysis and management module includes a distributed new energy power generation end power storage unit, a user-side distributed new energy power generation end power storage unit, a distributed new energy power generation end transmission grid unit power transmission loss unit storage unit, a distributed new energy power generation end to user-side grid unit power transmission loss unit search unit, a distributed new energy power generation end to user-side grid transmission loss metering unit, a user-side distributed new energy power generation end available power storage metering unit, and a user-side optimal distributed new energy power generation end object feature information screening unit;

[0110] A distributed renewable energy power generation end power storage capacity storage unit is used to store distributed renewable energy power generation end power storage capacity data; a user-side distributed renewable energy power generation end power storage capacity search unit collects and processes the current power storage capacity information of the user-side distributed renewable energy power generation end based on the user-side distributed renewable energy power generation end feature text data and the distributed renewable energy power generation end power storage capacity data, and generates the user-side distributed renewable energy power generation end power storage capacity data; a distributed renewable energy power generation end transmission grid unit power transmission loss capacity storage unit is used to store the distributed renewable energy power generation end transmission grid unit power transmission loss capacity data; a distributed renewable energy power generation end to user-side grid unit power transmission loss capacity search unit performs a distributed renewable energy power generation end to user-side transmission grid unit power transmission loss capacity search based on the user-side geographic area feature text data, the user-side distributed renewable energy power generation end feature text data and the distributed renewable energy power generation end transmission grid unit power transmission loss capacity data, and generates the distributed renewable energy power generation end to user-side ... grid unit power transmission loss capacity search based on the user-side geographic area feature text data, the user-side distributed renewable energy power generation end feature text data and the distributed renewable energy power generation end transmission grid unit power transmission loss capacity data, and generates the distributed renewable energy power generation end to user-side grid unit power transmission loss capacity data; a distributed renewable energy power generation end to user-side grid unit power transmission loss capacity search unit performs a distributed renewable energy power generation end to user-side grid unit power transmission loss capacity search based on the user-side geographic area feature text data, the user-side distributed renewable energy power generation end feature text The user-side grid transmission loss metering unit performs numerical statistical processing of grid transmission loss for power dispatching management from distributed renewable energy generation end to user end based on the power demand data from the user end and the unit power transmission loss data from the distributed renewable energy generation end to the user end, and generates grid transmission loss data from distributed renewable energy generation end to user end; the user-side distributed renewable energy generation end available power storage metering unit performs numerical statistical processing of actual available power storage of distributed renewable energy generation end based on the power transmission loss data from distributed renewable energy generation end to user end and the power storage data of distributed renewable energy generation end at the user end, and constructs available power storage data of distributed renewable energy generation end at the user end; the user-side optimal distributed renewable energy generation end object feature information screening unit performs search processing of the user-side optimal distributed renewable energy generation end object information based on the user-side power demand data, the user-side distributed renewable energy generation end available power storage data and the user-side distributed renewable energy generation end feature text data, and generates the user-side optimal distributed renewable energy generation end feature text data;

[0111] The new energy power dispatching execution management module includes a user-side distributed new energy power dispatching management information construction unit and a user-side distributed new energy power dispatching management operation execution unit;

[0112] The user-side distributed new energy power dispatching management information construction unit is used to construct the user-side distributed new energy power dispatching management data; the user-side distributed new energy power dispatching management operation execution unit executes the user-side distributed new energy power dispatching management operation based on the user-side distributed new energy power dispatching management data and the power management platform.

[0113] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A big data driven power grid new energy dispatching management method, characterized in that: The method comprises the following steps: S1. Collect user-side power demand data and user-side geographic region feature text data ; S2. Searching for distributed renewable energy power generation terminals within the geographical area where the user terminal is located based on the user terminal geographical area characteristic text data and the distributed renewable energy power generation terminal characteristic text data, and generating user terminal distributed renewable energy power generation terminal characteristic text data; The S2 comprises the following steps: S21. Establishing a feature text data set for distributed new energy power generation , ;in Indicates the Characteristic text data of distributed new energy power generation terminals, Indicates the maximum number of distributed renewable energy power generation terminals; S22, using a depth-limited search algorithm to With the As stated in Perform geographic location character matching and search for the Characteristic text data of the distributed new energy power generation terminal corresponding to the distributed new energy power generation terminal in the geographical area , and construct a user-side distributed renewable energy power generation feature text data set , ,in Indicates the Characteristic text data of distributed new energy power generation end at user end, Indicates the Characteristic text data of distributed renewable energy power generation end at user end; S3. Collecting and processing the current power storage capacity information of the user-side distributed new energy power generation end based on the characteristic text data of the user-side distributed new energy power generation end and the power storage capacity data of the distributed new energy power generation end, and generating the power storage capacity data of the user-side distributed new energy power generation end; The S3 includes the following steps: S31. Establish a data set of distributed new energy power generation terminal power storage capacity ,in Indicates the Distributed new energy power generation terminal power storage data, including The unit is megawatt; S32, using a unified cost search algorithm to As stated in to With the As stated in Perform character matching on the distributed renewable energy power generation terminal number to search for the characteristic text data of the user-side distributed renewable energy power generation terminal to The corresponding distributed new energy power generation end power storage data , and build a user-side distributed renewable energy power generation end power storage data set ,in Indicates the The power storage data of distributed new energy generation end at each user end, Indicates the The power storage data of distributed new energy generation end at the user end, including and The unit of all figures is megawatt; S4. Based on the user-side geographic area feature text data, the user-side distributed renewable energy power generation feature text data, and the distributed renewable energy power generation transmission grid unit power transmission loss data, a search process is performed on the distributed renewable energy power generation-to-user transmission grid unit power transmission loss data to generate the distributed renewable energy power generation-to-user grid unit power transmission loss data. The S4 comprises the following steps: S41. Establish a data set on unit power transmission loss of distributed renewable energy power generation transmission grids ,in Indicates the The unit power transmission loss data of the distributed new energy power generation end transmission grid is as follows: The unit is megawatt; S42, using a depth-limited search algorithm to 、 As stated in to With the As stated in Perform keyword matching of geographic location and distributed renewable energy generation terminal number to search for the and stated to The corresponding , and build a data set of unit power transmission loss from distributed renewable energy power generation to user end ,in Indicates the The unit power transmission loss data of the distributed new energy power generation end to the user end of the power grid, Indicates the The unit power transmission loss data of the distributed renewable energy power generation end to the user end of the power grid, including and The unit of all figures is megawatt; S5. Performing numerical statistical processing on the power transmission loss of the distributed renewable energy power generation end to the user-end for power dispatch management based on the user-end power demand data and the unit power transmission loss data of the distributed renewable energy power generation end to the user-end power grid, generating the distributed renewable energy power generation end to the user-end power grid transmission loss data, and performing numerical statistical processing on the actual available power storage data of the distributed renewable energy power generation end with the power storage data of the user-end distributed renewable energy power generation end, thereby constructing the available power storage data of the distributed renewable energy power generation end at the user-end; The S5 comprises the following steps: S51, the With the As stated in to Carry out the product measurement of the power demand at the user end and the power transmission loss of the power grid unit, and generate a data set of the power transmission loss from the distributed renewable energy power generation end to the user end. ,in Indicates the The data on power transmission loss from distributed renewable energy generation to user-end grid, Indicates the The data on power transmission loss from distributed renewable energy generation to user-end power grid is as follows: , ; and The unit of all figures is megawatt; S52, the As stated in to With the As stated in to Perform differential measurement of power storage and power grid transmission loss, and construct a data set of available power storage at the user-side distributed renewable energy generation end. ,in Indicates the The available power storage data of distributed new energy power generation end at each user end, Indicates the The available power storage data of distributed new energy generation end at user end, among which and The unit of all figures is megawatt; S6. Performing a search process for the optimal distributed renewable energy power generation terminal object information required by the user end based on the user end power demand data, the available power storage data of the distributed renewable energy power generation terminal at the user end, and the characteristic text data of the distributed renewable energy power generation terminal at the user end, thereby generating the optimal distributed renewable energy power generation terminal characteristic text data required by the user end; The S6 comprises the following steps: S61, the With the The user-side distributed renewable energy power generation terminal can use the power storage data to compare the power demand and power storage values, and search for the power storage that is not less than the power demand data of the user-side. The distributed new energy power generation terminal number information corresponding to the available power storage data of the user-side distributed new energy power generation terminal with the largest power storage value is constructed, and the optimal distributed new energy power generation terminal object text data required by the user-side is constructed. ; S62, the With the As stated in to Perform character matching on the distributed renewable energy power generation terminal number to search for the The corresponding user-side distributed renewable energy power generation terminal feature text data, and construct the optimal distributed renewable energy power generation terminal feature text data required by the user side ; S7. Construct user-side distributed renewable energy power dispatching management data and execute user-side distributed renewable energy power dispatching management operations.

2. The big data-driven power grid new energy dispatch management method according to claim 1, characterized in that: Said S1 comprises the following steps: S11. Collect user-side power demand information online through the data collection dialog box of the power management platform and generate user-side power demand data. ,in The unit is megawatt; The data collection dialog box of the power management platform is used to collect the specific geographical location information and geographical administrative area information of the user end online, and generate the user end geographical area feature text data .

3. The big data-driven power grid new energy dispatch management method according to claim 1, characterized in that: The S61 includes the following steps: S611, initialize parameters and update the maximum number of iterations of the algorithm ; S612, initialize the new energy power generation end to search for the location of the seagull population, that is, the new energy power generation end searches for the seagull population to update the data set of the available power storage amount of the distributed new energy power generation end at the user end Position in the search space; S613: Calculate the available power storage data set of the user-side distributed new energy power generation end All the available power storage data of the user-side distributed new energy generation end and the power demand data of the user-side The fitness value in the data set is retained in the data set of the available power storage capacity of the distributed renewable energy power generation end at the user end. The search space is related to the user's power demand data The global optimal position of the available power storage data of the user-side distributed renewable energy power generation end having the largest fitness value; S614, Migration, Global Search: There are three main steps in searching for seagull migration behavior at the renewable energy power generation end. The first step is to meet the data set of available power storage capacity at the distributed renewable energy power generation end at the user end. The conditions for avoiding collisions between seagulls at different renewable energy power generation ends in the search space are as follows; secondly, the available power storage data set of the distributed renewable energy power generation end at the user end is calculated. The search space satisfies the requirement that the power storage capacity is not less than the power demand capacity of the user terminal. The optimal location direction of the available power storage data of the user-side distributed new energy power generation end with the largest power storage value; the third is based on satisfying that the power storage capacity is not less than the power demand data of the user-side and the user-side distributed new energy power generation end with the largest power storage value moves to a new position in the direction of the optimal position where the available power storage data is located; S6141, calculating the data set of available power storage capacity of the distributed new energy power generation end at the user end by searching the seagull at the new energy power generation end Search for a new position in the space that does not collide with the adjacent new energy generation terminal during movement ; S6142, calculating the available power storage data set of the distributed new energy power generation end at the user end The search space satisfies the requirement that the power storage capacity is not less than the power demand capacity of the user terminal. The optimal location direction of the available power storage data of the distributed new energy power generation end at the user end with the largest power storage value ; S6143, according to the power storage capacity not less than the user end power demand data The user-end distributed new energy generation end with the largest power storage value moves to a new position in the direction of the optimal position where the power storage data is located. ; S615: Attack prey, local search, the new energy power generation end searches for the seagull at the user end distributed new energy power generation end available power storage amount data set. The attack in the search space satisfies the requirement that the power storage capacity is not less than the power demand data of the user terminal. The user-end distributed new energy power generation end with the largest power storage capacity data can perform spiral motion in the air when hunting, and at the same time identify the user-end power demand data that meets the power storage capacity of not less than the power storage capacity of the user-end. The user-end distributed renewable energy power generation end with the largest power storage value has available power storage data, and the renewable energy power generation end searches for the new position of the seagull after it attacks its prey. ; S616: Determine whether the maximum number of iterations is met, and output the data that the power storage capacity is not less than the power demand capacity of the user end. and the available power storage capacity data of the distributed renewable energy power generation end at the user end with the largest power storage capacity value; if not satisfied, return to step S613; S617, the data outputted in step S616 that satisfies the requirement that the power storage capacity is not less than the power demand capacity of the user terminal The distributed new energy power generation terminal number information corresponding to the available power storage data of the user-side distributed new energy power generation terminal with the largest power storage value is constructed, and the optimal distributed new energy power generation terminal object text data required by the user-side is constructed. .

4. The big data-driven power grid new energy dispatch management method according to claim 1, characterized in that: The S7 comprises the following steps: S71, the 、 Combine data to build user-side distributed new energy power dispatch management data ; S72, the power management platform is based on Control the The corresponding distributed new energy power generation terminal is as described above Perform user-side distributed renewable energy power dispatching and management operations.

5. A big data driven power grid new energy dispatching and management system, used to implement a big data driven power grid new energy dispatching and management method according to any one of claims 1 to 4, characterized in that: The system includes a new energy power dispatching information collection and management module, a new energy power dispatching data analysis and management module, and a new energy power dispatching execution management module.

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