Big data driven power grid new energy scheduling management system and method

Abstract

The 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, and the system comprises a new energy power dispatching information collection management module, a new energy power dispatching data analysis management module, and a new energy power dispatching execution management module. Available power storage amount information of a distributed new energy power generation end of a user end is accurately analyzed based on numerical analysis, the real available power storage amount of the distributed new energy power generation end is accurately counted, and the accuracy and stability of new energy power dispatching management are improved; according to the user side power demand quantity parameters and the user side distributed new energy power generation side available power storage quantity parameters, the optimal distributed new energy power generation side object information required by the user side is accurately searched by combining an intelligent search algorithm and the user side distributed new energy power generation side feature text information; and the scientificity and quality of new energy power dispatching management are improved.

Description

Technical Field

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

[0002] Power grid dispatching management refers to the management carried out by a power grid dispatching agency on the production operation of the power grid, the power grid dispatching system, and the activities of personnel positions in accordance with relevant regulations to ensure the safe, high-quality, and economical operation of the power grid. It generally includes dispatching operation management, dispatching plan management, relay protection and safety automatic device management, power grid dispatching automation management, power communication management, hydropower plant reservoir dispatching management, power system personnel training management, etc.; with the popularization and use of distributed new energy power generation technology, how to scientifically and efficiently dispatch and manage the power of distributed new energy power generation terminals has become a very important topic; however, the existing distributed new energy power dispatching management cannot intelligently and accurately match the distributed new energy power generation terminals based on the power demand information of the user side and the transmission loss information, reducing the accuracy and intelligence of new energy power dispatching management.

[0003] The Chinese patent application with the publication number CN106570785A discloses a power facility power intelligent dispatching method and system, which collects power operation data in a certain area and time, preprocesses the power data and sends it to the background server, and at the same time combines a prediction model to obtain the power operation dispatching instruction for the next time and independently executes the power dispatching operation; thus realizing intelligent power dispatching; however, the above technical solutions cannot achieve scientific and intelligent dispatching management of the power of distributed new energy power generation terminals. Summary of the Invention

[0004] (I) Technical Problems to be Solved To solve the problem that the existing distributed new energy power dispatching management cannot intelligently and accurately match the distributed new energy power generation terminals based on the power demand information of the user side and the transmission loss information, reducing the accuracy and intelligence of new energy power dispatching management, and to achieve the purposes of online collecting the power demand of the user side and the geographical area feature information of the user side, accurately searching the feature information of the distributed new energy power generation terminals of the user side, efficiently obtaining the power storage capacity of the distributed new energy power generation terminals of the user side, accurately searching the power transmission loss parameters per unit of power from the distributed new energy power generation terminals to the user side power grid, scientifically calculating the power transmission loss from the distributed new energy power generation terminals to the user side power grid, accurately calculating the available power storage capacity of the distributed new energy power generation terminals of the user side, precisely screening the optimal distributed new energy power generation terminal objects required by the user side, and scientifically and efficiently executing the distributed new energy power dispatching management operation.

[0005] (II) Technical Solutions The present invention is realized through the following technical solutions: A big data-driven power grid new energy dispatching management method, the method comprising the following steps: S1. Collect power demand data of the user side and text data of the geographical area characteristics of the user side; S2. Perform a search process for distributed new energy power generation terminals within the geographical area where the user side is located based on the text data of the geographical area characteristics of the user side and the text data of the characteristics of the distributed new energy power generation terminals, and generate text data of the characteristics of the distributed new energy power generation terminals of the user side; S3. Collect and process the current power storage information of the distributed new energy power generation terminals of the user side according to the text data of the characteristics of the distributed new energy power generation terminals of the user side and the power storage data of the distributed new energy power generation terminals, and generate power storage data of the distributed new energy power generation terminals of the user side; S4. Perform a search process for the unit power transmission loss of the power transmission grid from the distributed new energy power generation terminals to the user side based on the text data of the geographical area characteristics of the user side, the text data of the characteristics of the distributed new energy power generation terminals of the user side, and the unit power transmission loss data of the power transmission grid of the distributed new energy power generation terminals, and generate unit power transmission loss data of the power transmission grid from the distributed new energy power generation terminals to the user side; S5. Perform numerical statistical processing of the power transmission loss of the power transmission grid for power dispatching management from the distributed new energy power generation terminals to the user side based on the power demand data of the user side and the unit power transmission loss data of the power transmission grid from the distributed new energy power generation terminals to the user side, generate power transmission loss data of the power transmission grid from the distributed new energy power generation terminals to the user side, and perform numerical statistical processing of the actual available power storage of the distributed new energy power generation terminals in combination with the power storage data of the distributed new energy power generation terminals of the user side, and construct available power storage data of the distributed new energy power generation terminals of the user side; S6. Perform a search process for the information of the optimal distributed new energy power generation terminal objects required by the user side based on the power demand data of the user side, the available power storage data of the distributed new energy power generation terminals of the user side, and the text data of the characteristics of the distributed new energy power generation terminals of the user side, and generate text data of the characteristics of the optimal distributed new energy power generation terminals required by the user side; S7. Construct power dispatching management data for the distributed new energy of the user side and execute the power dispatching management operation for the distributed new energy of the user side.

[0006] Preferably, the operation steps for collecting the power demand data of the user side and the text data of the geographical area characteristics of the user side are as follows: S11. Online collect the power demand information of the user side through the data collection dialog box of the power management platform and generate power demand data of the user side , where 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 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.

[0007] Preferably, the distributed renewable energy power generation terminal in the geographical area where the user terminal is located is searched and processed based on the user terminal geographical area characteristic text data and the distributed renewable energy power generation terminal characteristic text data, and the operation steps of generating the user terminal distributed renewable energy power generation terminal characteristic text data are as follows: S21. Establishing a feature text data set for distributed renewable energy generation , ;in Indicates Characteristic text data of distributed renewable energy generation terminals, Indicates the maximum value of the number of distributed renewable energy power generation terminals; the distributed renewable energy power generation terminal characteristic text data indicates the object characteristic information of distributed renewable energy power generation terminals built 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; S22, using a depth-restricted search algorithm to search the user-side geographic area feature text data The distributed renewable energy generation terminal characteristic text data set Characteristic text data of distributed renewable energy 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 renewable energy power generation terminal corresponding to the distributed renewable energy power generation terminal in the geographical area , and construct a user-side distributed renewable energy generation feature text data set , ,in Indicates Characteristic text data of distributed renewable energy generation end at user end, Indicates The user-end distributed renewable energy power generation terminal feature text data represents object feature information of the distributed renewable energy power generation terminal in the same geographical area as the user-end.

[0008] Preferably, the operation steps for collecting and processing the current power storage amount information of the distributed new energy power generation end at the user side according to the characteristic text data of the distributed new energy power generation end at the user side and the power storage amount data of the distributed new energy power generation end are as follows: S31. Establish a set of power storage amount data of the distributed new energy power generation end , where represents the th power storage amount data of the distributed new energy power generation end, where is in megawatts, and the power storage amount data of the distributed new energy power generation end represents the current unused power storage amount of the distributed new energy power generation end; S32. Use the uniform cost search algorithm to match the characteristic text data of the distributed new energy power generation end at the user side in the set of characteristic text data of the distributed new energy power generation end at the user side with the power storage amount data of the distributed new energy power generation end in the set of power storage amount data of the distributed new energy power generation end to for character matching of the distributed new energy power generation end numbers, search for the corresponding power storage amount data of the distributed new energy power generation end of the characteristic text data of the distributed new energy power generation end at the user side from to to , and construct a set of power storage amount data of the distributed new energy power generation end at the user side , where represents the th power storage amount data of the distributed new energy power generation end at the user side, represents the th power storage amount data of the distributed new energy power generation end at the user side, where and and are both in megawatts, and the power storage amount data of the distributed new energy power generation end at the user side represents the power storage amount information of the distributed new energy power generation end in the same geographical area as the user side.

[0009] Preferably, the operation steps for searching and processing the unit power transmission loss of the power transmission grid from the distributed new energy power generation end to the user side based on the characteristic text data of the user side geographical area, the characteristic text data of the distributed new energy power generation end at the user side, and the unit power transmission loss data of the power transmission grid of the distributed new energy power generation end are as follows: S41. Establish a set of unit power transmission loss data of the power transmission grid of the distributed new energy power generation end , where represents the th data of the power transmission loss per unit of power of the power transmission grid of the distributed new energy power generation end, where is in megawatts, and the data of the power transmission loss per unit of power of the power transmission grid of the distributed new energy power generation end represents the power data consumed by the power transmission grid for each megawatt of power transmitted by the power transmission grid corresponding to the distributed new energy power generation end built at different geographical locations; S42. Use the depth-limited search algorithm to match the text data of the geographical area characteristics of the user end , the set of text data of the characteristics of the distributed new energy power generation end of the user end in the text data of the characteristics of the distributed new energy power generation end of the user end to with the set of data of the power transmission loss per unit of power of the power transmission grid of the distributed new energy power generation end in the data of the power transmission loss per unit of power of the power transmission grid of the distributed new energy power generation end for keyword matching of geographical location and distributed new energy power generation end number, and search for the text data of the geographical area characteristics of the user end and the text data of the characteristics of the distributed new energy power generation end of the user end to corresponding data of the power transmission loss per unit of power of the power transmission grid of the distributed new energy power generation end , and construct a set of data of the power transmission loss per unit of power of the power transmission grid from the distributed new energy power generation end to the user end , where represents the th data of the power transmission loss per unit of power of the power transmission grid from the distributed new energy power generation end to the user end, represents the th data of the power transmission loss per unit of power of the power transmission grid from the distributed new energy power generation end to the user end, where and are both in megawatts, and the data of the power transmission loss per unit of power of the power transmission grid from the distributed new energy power generation end to the user end represents the power data consumed by the power transmission grid when transmitting each megawatt of power by the power transmission grid corresponding to the distributed new energy power generation end in the same geographical area as the user end.

[0010] Preferably, based on the user-side power demand data and the power transmission loss data per unit of power from the distributed new energy power generation end to the user-side power grid, numerical statistical processing of the power transmission loss of the power grid for power dispatching management from the distributed new energy power generation end to the user side is performed to generate the power transmission loss data of the power grid from the distributed new energy power generation end to the user side, and numerical statistical processing of the actual available power storage of the distributed new energy power generation end is performed with the power storage data of the distributed new energy power generation end at the user side. The operation steps for constructing the available power storage data of the distributed new energy power generation end at the user side are as follows: S51. Take the user-side power demand data and the power transmission loss data per unit of power from the distributed new energy power generation end to the user-side power grid in the set of the power transmission loss data per unit of power from the distributed new energy power generation end to the user-side power grid to perform a product measurement process on the user-side power demand and the power transmission loss per unit of power of the power grid to generate a set of power transmission loss data of the power grid from the distributed new energy power generation end to the user side , where represents the th power transmission loss data of the power grid from the distributed new energy power generation end to the user side, represents the th power transmission loss data of the power grid from the distributed new energy power generation end to the user side, where , ; and are both in megawatts, and the power transmission loss data of the power grid from the distributed new energy power generation end to the user side represents the total power loss data required for the distributed new energy power generation end to transmit the power demanded by the user through the power transmission grid; S52. Take the power storage data of the distributed new energy power generation end at the user side in the set from to and the power transmission loss data of the power grid from the distributed new energy power generation end to the user side in the set from to perform a difference measurement process on the power storage and the power transmission loss of the power grid to construct a set of available power storage data of the distributed new energy power generation end at the user side , where represents the th available power storage data of the distributed new energy power generation end at the user side, represents the The available power storage data of the client-side distributed new energy power generation side, where and are both in megawatts. The available power storage data of the client-side distributed new energy power generation side represents the power storage information that can actually be used by the client from the distributed new energy power generation side in the same geographical area as the client.

[0011] Preferably, according to the client power demand data, the available power storage data of the client-side distributed new energy power generation side, and the characteristic text data of the client-side distributed new energy power generation side, the operation steps for searching and processing the optimal distributed new energy power generation side object information required by the client to generate the optimal characteristic text data of the distributed new energy power generation side required by the client are as follows: S61. Compare the client power demand data with the available power storage data of the client-side distributed new energy power generation side in the set to compare the power demand and power storage values, search for the distributed new energy power generation side number information corresponding to the available power storage data of the client-side distributed new energy power generation side whose power storage is not less than the client power demand data and has the largest power storage value, and construct the optimal distributed new energy power generation side object text data required by the client , and execute the generation of the optimal distributed new energy power generation side object text data required by the client The specific operation steps are as follows: S611. Initialize the parameters and update the maximum number of iterations T of the algorithm; S612. Initialize the search seagull population position of the new energy power generation side, that is, update the position of the search seagull population of the new energy power generation side in the search space of the available power storage data set of the client-side distributed new energy power generation side ; S613. Calculate the fitness values of all the available power storage data of the client-side distributed new energy power generation side in the set and the client power demand data , and retain the global optimal position of the available power storage data of the client-side distributed new energy power generation side with the largest fitness value in the search space of the available power storage data set of the client-side distributed new energy power generation side corresponding to the client power demand data ; S614. Migration, global search: The migration behavior of the seagull searched by the new energy power generation end mainly has three steps. First, it is necessary to meet the data set of the available power storage capacity of the distributed new energy power generation end at the user side Search for the conditions to avoid collision between different seagulls searched by the new energy power generation end in the search space; Second, calculate the data set of the available power storage capacity of the distributed new energy power generation end at the user side In the search space, find the best position and direction of the available power storage capacity data of the distributed new energy power generation end at the user side that satisfies the power storage capacity not less than the power demand data of the user side And has the largest power storage capacity value; Third, move to a new position according to the direction of the best position where the available power storage capacity data of the distributed new energy power generation end at the user side that satisfies the power storage capacity not less than the power demand data of the user side And has the largest power storage capacity value S6141. Calculate the new position where the seagull searched by the new energy power generation end does not collide with the adjacent seagulls searched by the new energy power generation end during the movement in the data set of the available power storage capacity of the distributed new energy power generation end at the user side In the search space; where Represents the current position of the seagull searched by the new energy power generation end in the data set of the available power storage capacity of the distributed new energy power generation end at the user side In the search space, Represents the current iteration number; Represents the movement behavior of the seagull searched by the new energy power generation end in the data set of the available power storage capacity of the distributed new energy power generation end at the user side In the search space; Represents the movement behavior of the seagull searched by the new energy power generation end in the data set of the available power storage capacity of the distributed new energy power generation end at the user side Represents the control Function of the change frequency, Represents the maximum number of iterations; S6142. Calculate the best position and direction of the available power storage capacity data of the distributed new energy power generation end at the user side that satisfies the power storage capacity not less than the power demand data of the user side In the data set of the available power storage capacity of the distributed new energy power generation end at the user side In the search space and has the largest power storage capacity value ; , , where Represents the data set of the available power storage capacity of the distributed new energy power generation end at the user side Search in the search space to find the available power storage capacity data that satisfies the power storage capacity not less than the power demand data of the user side and the current best position of the available power storage data of the user-side distributed new energy power generation end with the largest power storage value Search for seagulls by the new energy power generation end in the set of available power storage data of the user-side distributed new energy power generation end The current position in the search space; A random number representing the balance between global and local search capabilities A random number representing a value in the range [0, 1]; S6143. According to the available power storage data of the user-side distributed new energy power generation end that satisfies the power storage being not less than the user-side power demand data and moving to a new position in the direction of the best position where the available power storage data of the user-side distributed new energy power generation end has the largest power storage value , , that is, searching in the set of available power storage data of the user-side distributed new energy power generation end according to the direction of the best position Search space to find the available power storage data of the user-side distributed new energy power generation end that satisfies the power storage being not less than the user-side power demand data and the new position of the available power storage data of the user-side distributed new energy power generation end with the largest power storage value; S615. Attack the prey, local search. The new energy power generation end searches for seagulls to attack the prey in the set of available power storage data of the user-side distributed new energy power generation end Search space to attack the prey that satisfies the power storage being not less than the user-side power demand data and the available power storage data of the user-side distributed new energy power generation end with the largest power storage value. When attacking the prey, perform a spiral motion in the air, and at the same time identify the available power storage data that satisfies the power storage being not less than the user-side power demand data and the available power storage data of the user-side distributed new energy power generation end with the largest power storage value. The new position of the new energy power generation end search seagull after attacking the prey , , that is, the new energy power generation end searches for seagulls in the set of available power storage data of the user-side distributed new energy power generation end Search space to find the available power storage data that satisfies the power storage being not less than the user-side power demand data and the available power storage data of the user-side distributed new energy power generation end with the largest power storage value; S616. Determine whether the maximum number of iterations is satisfied, and then output the available power storage data of the user-side distributed new energy power generation end that satisfies the power storage being not less than the user-side power demand data and the available power storage data of the user-side distributed new energy power generation end with the largest power storage value; if not satisfied, return to step S613; S617. Take the available power storage data of the distributed new energy power generation end of the user side corresponding to the data output in step S616 that meets the condition that the power storage amount is not less than the power demand of the user side and the distributed new energy power generation end number information with the largest power storage amount value, and construct the optimal distributed new energy power generation end object text data required by the user side ; S62. Match the optimal distributed new energy power generation end object text data required by the user side with the set of distributed new energy power generation end characteristic text data of the user side in the distributed new energy power generation end characteristic text data of the user side to perform character matching of the distributed new energy power generation end numbers, search for the distributed new energy power generation end characteristic text data corresponding to the optimal distributed new energy power generation end object text data required by the user side and construct the optimal distributed new energy power generation end characteristic text data required by the user side .

[0012] Preferably, the operation steps of constructing the distributed new energy power dispatching management data of the user side and performing the distributed new energy power dispatching management operation of the user side are as follows: S71. Combine the power demand data of the user side and the optimal distributed new energy power generation end characteristic text data required by the user side to construct the distributed new energy power dispatching management data of the user side , where ; S72. The power management platform controls the distributed new energy power generation end corresponding to the optimal distributed new energy power generation end characteristic text data required by the user side to execute the distributed new energy power dispatching management operation of the user side according to the power demand data of the user side .

[0013] A big data-driven power grid new energy dispatching management system for implementing the big data-driven power grid new energy dispatching management method, the system includes a new energy power dispatching information collection management module, a new energy power dispatching data analysis management module, and a new energy power dispatching execution management module; The new energy power dispatching information collection management module includes a user side power demand information collection unit, a user side geographical area characteristic information collection unit, a distributed new energy power generation end characteristic information storage unit, and a user side distributed new energy power generation end characteristic information search unit;​ The user-side power demand information collection unit collects user-side power demand data through the power management platform; the user-side geographical area feature information collection unit collects user-side geographical area feature text data through the power management platform; the distributed new energy power generation end feature information storage unit is used to store distributed new energy power generation end feature text data; the user-side distributed new energy power generation end feature information search unit performs search processing on distributed new energy power generation ends within the geographical area where the user is located based on the user-side geographical 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. The new energy power dispatching data analysis and management module includes a distributed new energy power generation end power storage capacity storage unit, a user-side distributed new energy power generation end power storage capacity search unit, a distributed new energy power generation end power transmission grid unit power transmission loss storage unit, a distributed new energy power generation end to user-side grid unit power transmission loss search unit, a distributed new energy power generation end to user-side grid power transmission loss measurement unit, a user-side distributed new energy power generation end available power storage capacity measurement unit, and a user-side required optimal distributed new energy power generation end object feature information screening unit. 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 end distributed new energy power generation end power storage capacity search unit collects and processes the current power storage capacity information of the user end distributed new energy power generation end according to the user end distributed new energy power generation end characteristic text data and the distributed new energy power generation end power storage capacity data, and generates the user end distributed new energy power generation end power storage capacity data; the distributed new energy power generation end power transmission grid unit power transmission loss storage unit is used to store the distributed new energy power generation end power transmission grid unit power transmission loss data; the distributed new energy power generation end to user end grid unit power transmission loss search unit performs a search process for the unit power transmission loss of the power transmission grid from the distributed new energy power generation end to the user end based on the user end geographical area characteristic text data, the user end distributed new energy power generation end characteristic text data and the distributed new energy power generation end power transmission grid unit power transmission loss data, and generates the distributed new energy power generation end to user end grid unit power transmission loss data; the distributed new energy power generation end to user end grid power transmission loss measurement unit performs a numerical statistical process for the grid power transmission loss from the distributed new energy power generation end to the user end based on the user end power demand data and the distributed new energy power generation end to user end grid unit power transmission loss data, and generates the distributed new energy power generation end to user end grid power transmission loss data; the user end distributed new energy power generation end available power storage capacity measurement unit performs a numerical statistical process for the actual available power storage capacity of the distributed new energy power generation end based on the distributed new energy power generation end to user end grid power transmission loss data and the user end distributed new energy power generation end power storage capacity data, and constructs the user end distributed new energy power generation end available power storage capacity data; the user end required optimal distributed new energy power generation end object characteristic information screening unit performs a search process for the information of the optimal distributed new energy power generation end object required by the user end based on the user end power demand data, the user end distributed new energy power generation end available power storage capacity data and the user end distributed new energy power generation end characteristic text data, and generates the user end required optimal distributed new energy power generation end characteristic text data; The new energy power dispatch execution management module includes a user end distributed new energy power dispatch management information construction unit and a user end distributed new energy power dispatch management operation execution unit; The user end distributed new energy power dispatch management information construction unit is used to construct the user end distributed new energy power dispatch management data; the user end distributed new energy power dispatch management operation execution unit executes the user end distributed new energy power dispatch management operation in combination with the power management platform according to the user end distributed new energy power dispatch management data.

[0014] (III) Beneficial effects The present invention provides a big data-driven power grid new energy dispatching management system and method, which has the following beneficial effects: By accurately collecting the power demand information of the user side and the text information of the geographical area characteristics of the user side through the power management platform, it provides reliable data support for the accurate dispatching management of new energy power; based on the text information of the characteristics of the distributed new energy power generation side stored in the big data, combined with the intelligent search algorithm and the text information of the geographical area characteristics of the user side, the object information of the distributed new energy power generation side of the user side is accurately screened, realizing the accurate and scientific screening of the distributed new energy power generation side objects within the geographical area of the user, and improving the intelligence and rationality of the new energy power dispatching management.

[0015] Second, by accurately collecting the power storage capacity of the distributed new energy power generation side of the user side according to the text information of the characteristics of the distributed new energy power generation side of the user side, combined with the intelligent search algorithm and the scientifically preset power storage capacity information of the distributed new energy power generation side, it provides reliable support for scientifically counting the true available power storage capacity of the distributed new energy power generation side; based on the text information of the geographical area characteristics of the user side, the text information of the characteristics of the distributed new energy power generation side of the user side, combined with the intelligent search algorithm and the power transmission loss information per unit power of the power transmission grid of the distributed new energy power generation side set based on big data, the power transmission loss parameter per unit power of the power transmission grid from the distributed new energy power generation side to the user side is efficiently and intelligently retrieved, and at the same time, the power transmission loss information from the distributed new energy power generation side to the user side grid is independently measured through numerical processing, realizing the digital and accurate statistics of the power transmission loss of the power transmission grid from the distributed new energy power generation side to the user side; based on numerical analysis, the available power storage capacity information of the distributed new energy power generation side of the user side is accurately analyzed, realizing the accurate statistics of the true available power storage capacity of the distributed new energy power generation side, and improving the accuracy and stability of the new energy power dispatching management; according to the power demand parameter of the user side, the available power storage capacity parameter of the distributed new energy power generation side of the user side, combined with the intelligent search algorithm and the text information of the characteristics of the distributed new energy power generation side of the user side, the accurate search for the optimal distributed new energy power generation side object information required by the user side is carried out, improving the scientificity and quality of the new energy power dispatching management.

[0016] Third, by combining numerical processing based on the power demand of the user side and the optimal distributed new energy power generation side object information of the user side, the distributed new energy power dispatching management information of the user side is efficiently and timely constructed, realizing the accurate online collection of new energy power dispatching information and improving the response speed of the new energy power dispatching management; according to the distributed new energy power dispatching management information of the user side, the power management platform independently and accurately executes the distributed new energy power dispatching management operation of the user side, ensuring the safe and reliable execution of the new energy power dispatching and improving the efficiency and safety of the new energy power dispatching management. Brief description of the drawings

[0017] Figure 1 Schematic diagram of modules of a big data-driven new energy dispatching management system for power grids provided by the present invention; Figure 2 Flow chart of a big data-driven new energy dispatching management method for power grids provided by the present invention. Detailed implementation manners

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] Embodiments of the big data-driven new energy dispatching management system and method for power grids are as follows: Embodiment

[0020] Please refer to Figure 1 - Figure 2 , a big data-driven new energy dispatching management method for power grids, the method includes the following steps: S1. Collect power demand data of the user side and text data of geographical area characteristics of the user side; S2. Perform search processing on distributed new energy power generation terminals in the geographical area where the user side is located according to the text data of geographical area characteristics of the user side and the text data of characteristics of distributed new energy power generation terminals, and generate text data of characteristics of distributed new energy power generation terminals of the user side; S3. Collect current power storage information of distributed new energy power generation terminals of the user side according to the text data of characteristics of distributed new energy power generation terminals of the user side and power storage data of distributed new energy power generation terminals, and generate power storage data of distributed new energy power generation terminals of the user side; S4. Perform search processing on the unit power transmission loss of the power transmission grid from the distributed new energy power generation terminal to the user side based on the text data of geographical area characteristics of the user side, the text data of characteristics of distributed new energy power generation terminals of the user side, and the unit power transmission loss data of the power transmission grid of the distributed new energy power generation terminal, and generate unit power transmission loss data of the power transmission grid from the distributed new energy power generation terminal to the user side; S5. Perform numerical statistical processing on the grid transmission loss amount for power dispatching management from the distributed new energy power generation end to the user end based on the user end power demand data and the grid unit power transmission loss amount data from the distributed new energy power generation end to the user end, generate the grid transmission loss amount data from the distributed new energy power generation end to the user end, and perform numerical statistical processing on the actual available power storage amount at the distributed new energy power generation end by combining it with the power storage amount data at the user end distributed new energy power generation end, to construct the available power storage amount data at the user end distributed new energy power generation end; S6. Conduct search processing for the optimal distributed new energy power generation end object information required at the user end based on the user end power demand data, the available power storage amount data at the user end distributed new energy power generation end, and the user end distributed new energy power generation end characteristic text data, to generate the optimal distributed new energy power generation end characteristic text data required at the user end; S7. Construct the user end distributed new energy power dispatching management data and execute the user end distributed new energy power dispatching management operation.

[0021] Further, please refer to Figure 1 - Figure 2 For the operation steps of collecting the user end power demand data and the user end geographical area characteristic text data, as follows: S11. Online collect the power demand information of the user end through the data collection dialog box of the power management platform, and generate the user end power demand data , where the unit is megawatt; Online collect the specific geographical location information and geographical administrative area information of the user end through the data collection dialog box of the power management platform, and generate the user end geographical area characteristic text data , where the specific geographical location information includes the geographical location coordinate information and geographical location name information of the user end, and the geographical administrative area information includes the provincial administrative area information, municipal administrative area information, and county administrative area information where the user end is located.

[0022] For the operation steps of conducting search processing for the distributed new energy power generation end within the geographical area where the user end is located based on the user end geographical area characteristic text data and the distributed new energy power generation end characteristic text data, to generate the user end distributed new energy power generation end characteristic text data, as follows: S21. Establish a set of distributed new energy power generation end characteristic text data , ; where represents the th distributed new energy power generation end characteristic text data, Represents the maximum value of the number of distributed new energy power generation terminals; the distributed new energy power generation terminal characteristic text data represents the object characteristic information of distributed new energy power generation terminals built in different geographical locations; the distributed new energy power generation terminal characteristic text data includes the power generation type information, power generation terminal name information, power generation geographical location information, and power generation capacity information of the distributed new energy terminal; S22. Use the depth-limited search algorithm to process the user-side geographical area characteristic text data with the distributed new energy power generation terminal characteristic text data set in the distributed new energy power generation terminal characteristic text data for geographical location character matching, and search for the distributed new energy power generation terminal characteristic text data of the distributed new energy power generation terminals in the geographical area corresponding to the user-side geographical area characteristic text data and construct a user-side distributed new energy power generation terminal characteristic text data set , , , where represents the th user-side distributed new energy power generation terminal characteristic text data, represents the th user-side distributed new energy power generation terminal characteristic text data, and the user-side distributed new energy power generation terminal characteristic text data represents the object characteristic information of the distributed new energy power generation terminals in the same geographical area as the user side.

[0023] Through the mutual cooperation of the user-side power demand information acquisition unit and the user-side geographical area characteristic information acquisition unit, the power management platform accurately acquires the user-side power demand information and the user-side geographical area characteristic text information, providing reliable data support for the precise scheduling and management of new energy power; the distributed new energy power generation terminal characteristic information storage unit and the user-side distributed new energy power generation terminal characteristic information search unit cooperate with each other to accurately screen the user-side distributed new energy power generation terminal object information based on the big data storage of the distributed new energy power generation terminal characteristic text information combined with the intelligent search algorithm and the user-side geographical area characteristic text information, realizing the accurate and scientific screening of the distributed new energy power generation terminal objects within the user's geographical area, and improving the intelligence and rationality of new energy power scheduling management.

[0024] Furthermore, please refer to Figure 1 – Figure 2 . The operation steps for collecting and processing the current power storage amount information of the user-side distributed new energy power generation terminal according to the user-side distributed new energy power generation terminal characteristic text data and the distributed new energy power generation terminal power storage amount data are as follows: S31. Establish a distributed new energy power generation terminal power storage amount data set , where represents the th distributed new - energy power generation end power storage data, where is in the unit of megawatt, and the distributed new - energy power generation end power storage data represents the currently unused power storage of the distributed new - energy power generation end; S32. Use the uniform - cost search algorithm to match the user - end distributed new - energy power generation end characteristic text data set with the user - end distributed new - energy power generation end characteristic text data to and the distributed new - energy power generation end power storage data set with the distributed new - energy power generation end power storage data in it for distributed new - energy power generation end number character matching, search out the corresponding distributed new - energy power generation end power storage data of the user - end distributed new - energy power generation end characteristic text data to , and construct a user - end distributed new - energy power generation end power storage data set , where represents the th user - end distributed new - energy power generation end power storage data, represents the th user - end distributed new - energy power generation end power storage data, where and and are both in the unit of megawatt, and the user - end distributed new - energy power generation end power storage data represents the power storage information of the distributed new - energy power generation end in the same geographical area as the user - end.

[0025] Based on the user - end geographical area characteristic text data, the user - end distributed new - energy power generation end characteristic text data, and the distributed new - energy power generation end to user - end power transmission grid unit power transmission loss data, the operation steps for searching the unit power transmission loss of the power transmission grid from the distributed new - energy power generation end to the user - end are as follows: S41. Establish a distributed new - energy power generation end power transmission grid unit power transmission loss data set , where represents the th distributed new - energy power generation end power transmission grid unit power transmission loss data, where is in the unit of megawatt, and the distributed new - energy power generation end power transmission grid unit power transmission loss data represents the power consumption data of the corresponding power transmission grid for each megawatt of power transmitted by the distributed new - energy power generation ends built in different geographical locations; S42. Use the depth-limited search algorithm to process the user-side geographical area feature text data and the user-side distributed new energy power generation end feature text data set of the user-side distributed new energy power generation end feature text data to and the distributed new energy power generation end power transmission grid unit power transmission loss data set of the distributed new energy power generation end power transmission grid unit power transmission loss data to perform geographical location and distributed new energy power generation end number keyword matching, and search for the user-side geographical area feature text data and the user-side distributed new energy power generation end feature text data to corresponding distributed new energy power generation end power transmission grid unit power transmission loss data , and construct a distributed new energy power generation end to user-side power transmission grid unit power transmission loss data set , where represents the th distributed new energy power generation end to user-side power transmission grid unit power transmission loss data, represents the th distributed new energy power generation end to user-side power transmission grid unit power transmission loss data, where and are both in megawatts. The distributed new energy power generation end to user-side power transmission grid unit power transmission loss data represents the power data consumed by the power transmission grid when transmitting one megawatt of power for the power transmission grid corresponding to the distributed new energy power generation end in the same geographical area as the user side.

[0026] Based on the user-side power demand data and the distributed new energy power generation end to user-side power transmission grid unit power transmission loss data, perform numerical statistical processing of the power transmission loss of the power transmission grid for distributed new energy power generation end to user-side power dispatching management, generate the distributed new energy power generation end to user-side power transmission grid power transmission loss data, and perform numerical statistical processing of the actual available power storage of the distributed new energy power generation end with the user-side distributed new energy power generation end power storage data. The operation steps for constructing the user-side distributed new energy power generation end available power storage data are as follows: S51. Combine the user-side power demand data with the distributed new energy power generation end to user-side power transmission grid unit power transmission loss data set of the distributed new energy power generation end to user-side power transmission grid unit power transmission loss data to Perform the product metering process on the user-side power demand quantity and the grid unit power transmission loss quantity, and generate a data set of the grid transmission loss quantity from the distributed new energy power generation end to the user end , where represents the th grid transmission loss quantity data from the distributed new energy power generation end to the user end, represents the th grid transmission loss quantity data from the distributed new energy power generation end to the user end, where , ; and are both in megawatts. The grid transmission loss quantity data from the distributed new energy power generation end to the user end represents the total power loss data required for the distributed new energy power generation end to transmit the power demanded by the user end through the transmission grid; S52. Subtract the power storage quantity data of the user-side distributed new energy power generation end in the data set from the power storage quantity data of the user-side distributed new energy power generation end to and the grid transmission loss quantity data in the data set of the grid transmission loss quantity from the distributed new energy power generation end to the user end from the grid transmission loss quantity data of the grid transmission loss quantity from the distributed new energy power generation end to the user end to , and construct a data set of the available power storage quantity data of the user-side distributed new energy power generation end , where represents the th available power storage quantity data of the user-side distributed new energy power generation end, represents the th available power storage quantity data of the user-side distributed new energy power generation end, where and are both in megawatts. The available power storage quantity data of the user-side distributed new energy power generation end represents the actual available power storage quantity information for the user end of the distributed new energy power generation end in the same geographical area as the user end.

[0027] The operation steps for searching for the optimal distributed new energy power generation end object information required by the user end based on the user end power demand data, the available power storage quantity data of the user-side distributed new energy power generation end, and the characteristic text data of the user-side distributed new energy power generation end, and generating the optimal characteristic text data of the distributed new energy power generation end required by the user end are as follows: S61. Compare the user end power demand data with the data set of the available power storage quantity data of the user-side distributed new energy power generation end Compare the available power storage data of the distributed new energy power generation end at the user side with the power demand and power storage values, and search for the available power storage data of the distributed new energy power generation end at the user side where the power storage is not less than the power demand data of the user side And the distributed new energy power generation end number information corresponding to the available power storage data of the distributed new energy power generation end at the user side with the largest power storage value, and construct the optimal distributed new energy power generation end object text data required by the user side , execute to generate the optimal distributed new energy power generation end object text data required by the user side The specific operation steps are as follows: S611. Initialize parameters and update the maximum number of iterations T of the algorithm; S612. Initialize the position of the seagull population searched by the new energy power generation end, that is, update the position of the seagull population searched by the new energy power generation end in the set of available power storage data of the distributed new energy power generation end at the user side in the search space; S613. Calculate the fitness values of all available power storage data of the distributed new energy power generation end at the user side in the set and the power demand data of the user side in the set of available power storage data of the distributed new energy power generation end at the user side in the search space and the power demand data of the user side The global optimal position of the available power storage data of the distributed new energy power generation end at the user side with the largest fitness value; S614. Migration, global search: The migration behavior of the seagull searched by the new energy power generation end mainly has three steps. First, it is necessary to meet the condition of avoiding collision between different seagulls searched by the new energy power generation end in the search space of the set of available power storage data of the distributed new energy power generation end at the user side; Second, calculate the best position direction of the available power storage data of the distributed new energy power generation end at the user side in the search space that satisfies the power storage not less than the power demand data of the user side and the largest power storage value; Third, move to a new position according to the direction of the best position where the available power storage data of the distributed new energy power generation end at the user side that satisfies the power storage not less than the power demand data of the user side and the largest power storage value; and the largest power storage value; and move to a new position according to the direction of the best position where the available power storage data of the distributed new energy power generation end at the user side with the largest power storage value is located; S6141. Calculate the new position where the seagull searched by the new energy power generation end does not collide with the adjacent seagulls searched by the new energy power generation end during the movement in the search space of the set of available power storage data of the distributed new energy power generation end at the user side ; ; , ; where represents the data set of the available power storage capacity of the distributed new energy power generation at the user side for the new energy power generation side to search for seagulls the current position in the search space, represents the current iteration number; represents the data set of the available power storage capacity of the distributed new energy power generation at the user side for the new energy power generation side to search for seagulls the movement behavior in the search space; represents control the function of the change frequency, represents the maximum iteration number; S6142, calculate the best position direction of the available power storage capacity data of the distributed new energy power generation at the user side in the data set that satisfies the power storage capacity not less than the power demand data of the user side in the search space and has the largest power storage capacity value and the available power storage capacity data of the distributed new energy power generation at the user side with the largest power storage capacity value ; , , where represents the data set of the available power storage capacity of the distributed new energy power generation at the user side search for the current best position in the search space that satisfies the power storage capacity not less than the power demand data of the user side and has the largest power storage capacity value of the available power storage capacity data of the distributed new energy power generation at the user side, is the current position in the search space of the available power storage capacity data of the distributed new energy power generation at the user side for the new energy power generation side to search for seagulls ; represents a random number that balances the global and local search capabilities, represents a random number in the range of [0, 1]; S6143, move to a new position according to the direction of the best position where the available power storage capacity data of the distributed new energy power generation at the user side satisfies the power storage capacity not less than the power demand data of the user side and has the largest power storage capacity value , , that is, search for a new position in the search space of the available power storage capacity data of the distributed new energy power generation at the user side according to the direction of the best position that satisfies the power storage capacity not less than the power demand data of the user side and has the largest power storage capacity value of the available power storage capacity data of the distributed new energy power generation at the user side; ; S615. Attack the prey, perform local search, and search for the data set of the available power storage of the seagull at the distributed new energy power generation end of the user side Search in the search space for the data that meets the condition that the power storage is not less than the power demand of the user side When attacking the prey with the largest available power storage data of the distributed new energy power generation end of the user side that meets the condition that the power storage is not less than the power demand of the user side, perform a spiral movement in the air, and at the same time identify the data that meets the condition that the power storage is not less than the power demand of the user side And the data of the available power storage of the distributed new energy power generation end of the user side with the largest power storage value. Search for the new position of the seagull after attacking the prey at the new energy power generation end , , that is, the seagull searching at the new energy power generation end searches for the data of the available power storage of the distributed new energy power generation end of the user side that meets the condition that the power storage is not less than the power demand of the user side Search in the search space for the data of the available power storage of the distributed new energy power generation end of the user side that meets the condition that the power storage is not less than the power demand of the user side And the data of the available power storage of the distributed new energy power generation end of the user side with the largest power storage value; S616. Determine whether the maximum number of iterations is met. If so, output the data of the available power storage of the distributed new energy power generation end of the user side that meets the condition that the power storage is not less than the power demand of the user side And the data of the available power storage of the distributed new energy power generation end of the user side with the largest power storage value; if not, return to step S613; S617. Take the distributed new energy power generation end number information corresponding to the data of the available power storage of the distributed new energy power generation end of the user side that meets the condition that the power storage is not less than the power demand of the user side and is output in step S616 And construct the text data of the optimal distributed new energy power generation end object required by the user side ; S62. Match the text data of the optimal distributed new energy power generation end object required by the user side With the text data set of the characteristics of the distributed new energy power generation end of the user side In the text data of the characteristics of the distributed new energy power generation end of the user side To Perform character matching of the distributed new energy power generation end number, and search for the text data of the characteristics of the distributed new energy power generation end of the user side corresponding to the text data of the optimal distributed new energy power generation end object required by the user side, and construct the text data of the optimal characteristics of the distributed new energy power generation end required by the user side 。 。

[0028] Through the power storage capacity search unit of the user-side distributed new energy power generation terminal, based on the characteristic text information of the user-side distributed new energy power generation terminal, combined with the intelligent search algorithm and the scientifically preset power storage capacity information of the distributed new energy power generation terminal, the power storage capacity of the user-side distributed new energy power generation terminal is accurately collected, providing reliable support for scientifically counting the true available power storage capacity of the distributed new energy power generation terminal; the unit for searching the power transmission loss per unit of power from the distributed new energy power generation terminal to the user-side power grid and the unit for measuring the power transmission loss from the distributed new energy power generation terminal to the user-side power grid cooperate with each other. Based on the characteristic text information of the user-side geographical area and the characteristic text information of the user-side distributed new energy power generation terminal, combined with the intelligent search algorithm and the power transmission loss per unit of power information of the power transmission grid of the distributed new energy power generation terminal set based on big data, the power transmission loss per unit of power parameter of the power transmission grid from the distributed new energy power generation terminal to the user-side is efficiently and intelligently retrieved. At the same time, the power transmission loss information from the distributed new energy power generation terminal to the user-side power grid is independently measured through numerical processing, realizing the digital and accurate statistics of the power transmission loss of the power transmission grid from the distributed new energy power generation terminal to the user-side; the available power storage capacity measurement unit of the user-side distributed new energy power generation terminal accurately analyzes the available power storage capacity information of the user-side distributed new energy power generation terminal through numerical analysis, realizing the accurate statistics of the true available power storage capacity of the distributed new energy power generation terminal and improving the accuracy and stability of new energy power dispatching management; the optimal distributed new energy power generation terminal object characteristic information screening unit for the user-side accurately searches for the optimal distributed new energy power generation terminal object information required by the user-side based on the power demand parameter of the user-side, the available power storage capacity parameter of the user-side distributed new energy power generation terminal, combined with the intelligent search algorithm and the characteristic text information of the user-side distributed new energy power generation terminal, improving the scientificity and quality of new energy power dispatching management.

[0029] Further, please refer to Figure 1 - Figure 2 , and the operation steps for constructing the user-side distributed new energy power dispatching management data and executing the user-side distributed new energy power dispatching management operation are as follows: S71. Combine the user-side power demand data , the characteristic text data of the optimal distributed new energy power generation terminal required by the user-side to construct the user-side distributed new energy power dispatching management data , where ; S72. The power management platform controls the distributed new energy power generation terminal corresponding to the characteristic text data of the optimal distributed new energy power generation terminal required by the user-side according to the user-side distributed new energy power dispatching management data to execute the user-side distributed new energy power dispatching management operation according to the user-side power demand data .

[0030] Through the user-side distributed new energy power dispatching management information construction unit, based on the combination of the user-side power demand and the optimal distributed new energy power generation end object information of the user side and numerical processing, the user-side distributed new energy power dispatching management information is constructed efficiently and in a timely manner, realizing the online and accurate collection of new energy power dispatching information and improving the response speed of new energy power dispatching management; the user-side distributed new energy power dispatching management operation execution unit, based on the user-side distributed new energy power dispatching management information and combined with the power management platform, autonomously and accurately executes the user-side distributed new energy power dispatching management operation, ensuring the safe and reliable execution of new energy power dispatching and improving the efficiency and safety of new energy power dispatching management.

[0031] Embodiment 2: Please refer to Figure 1 - Figure 2 , a big data-driven power grid new energy dispatching management system for implementing a big data-driven power grid new energy dispatching 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 and management module; The new energy power dispatching information collection and management module includes a user-side power demand information collection unit, a user-side geographical 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; The user-side power demand information collection unit collects the user-side power demand data through the power management platform; the user-side geographical area feature information collection unit collects the user-side geographical 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-side distributed new energy power generation end feature information search unit performs a search process on the distributed new energy power generation end within the geographical area where the user is located based on the user-side geographical area feature text data and the distributed new energy power generation end feature text data, generating the user-side distributed new energy power generation end feature text data; The new energy power dispatching data analysis and management module includes a distributed new energy power generation end power storage capacity storage unit, a user-side distributed new energy power generation end power storage capacity search unit, a distributed new energy power generation end power grid unit power transmission loss storage unit, a distributed new energy power generation end to user-side power grid unit power transmission loss search unit, a distributed new energy power generation end to user-side power grid transmission loss measurement unit, a user-side distributed new energy power generation end available power storage capacity measurement unit, and a user-side required optimal distributed new energy power generation end object feature information screening unit; Distributed new energy power generation end power storage amount storage unit, used to store distributed new energy power generation end power storage amount data; User end distributed new energy power generation end power storage amount search unit, according to user end distributed new energy power generation end characteristic text data and distributed new energy power generation end power storage amount data, conducts acquisition and processing of the current power storage amount information of the user end distributed new energy power generation end, and generates user end distributed new energy power generation end power storage amount data; Distributed new energy power generation end power transmission grid unit power transmission loss amount storage unit, used to store distributed new energy power generation end power transmission grid unit power transmission loss amount data; Distributed new energy power generation end to user end grid unit power transmission loss amount search unit, based on user end geographical region characteristic text data, user end distributed new energy power generation end characteristic text data and distributed new energy power generation end power transmission grid unit power transmission loss amount data, conducts search processing of the unit power transmission loss amount of the power transmission grid from the distributed new energy power generation end to the user end, and generates distributed new energy power generation end to user end grid unit power transmission loss amount data; Distributed new energy power generation end to user end grid power transmission loss amount measurement unit, based on user end power demand data and distributed new energy power generation end to user end grid unit power transmission loss amount data, conducts numerical statistical processing of the grid power transmission loss amount for power dispatching management from the distributed new energy power generation end to the user end, and generates distributed new energy power generation end to user end grid power transmission loss amount data; User end distributed new energy power generation end available power storage amount measurement unit, based on the distributed new energy power generation end to user end grid power transmission loss amount data and user end distributed new energy power generation end power storage amount data, conducts numerical statistical processing of the actual available power storage amount of the distributed new energy power generation end, and constructs user end distributed new energy power generation end available power storage amount data; User end required optimal distributed new energy power generation end object characteristic information screening unit, based on user end power demand data, user end distributed new energy power generation end available power storage amount data and user end distributed new energy power generation end characteristic text data, conducts search processing of the information of the optimal distributed new energy power generation end object required by the user end, and generates user end required optimal distributed new energy power generation end characteristic text data; The new energy power dispatching execution management module includes a user end distributed new energy power dispatching management information construction unit and a user end distributed new energy power dispatching management operation execution unit; The user end distributed new energy power dispatching management information construction unit is used to construct user end distributed new energy power dispatching management data; The user end distributed new energy power dispatching management operation execution unit, based on the user end distributed new energy power dispatching management data, combines with the power management platform to execute the user end distributed new energy power dispatching management operation.

[0032] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present 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. Collecting user-side power demand data and user-side geographic area feature text data; S2, searching for distributed renewable energy power generation terminals in the geographical area where the user terminal is located according to the user terminal geographical area characteristic text data and the distributed renewable energy power generation terminal characteristic text data, and generating the user terminal distributed renewable energy power generation terminal characteristic text data; S3, collecting and processing the current power storage information of the distributed renewable energy power generation end at the user end according to the characteristic text data of the distributed renewable energy power generation end at the user end and the power storage data of the distributed renewable energy power generation end at the user end, and generating the power storage data of the distributed renewable energy power generation end at the user end; 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, perform a search process for the unit power transmission loss of the distributed renewable energy power generation end to the user-side transmission grid, and generate the distributed renewable energy power generation end to the user-side grid unit power transmission loss data; S5, 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 power grid, perform numerical statistical processing on the power grid transmission loss of the distributed renewable energy power generation end to the user-side power dispatching management, generate the distributed renewable energy power generation end to the user-side power grid transmission loss data, and perform numerical statistical processing on the actual available power storage of the distributed renewable energy power generation end with the power storage data of the distributed renewable energy power generation end at the user-side, and construct the available power storage data of the distributed renewable energy power generation end at the user-side; S6, performing search processing for the optimal distributed renewable energy power generation end object information required by the user end according to the user end power demand data, the available power storage data of the distributed renewable energy power generation end at the user end and the characteristic text data of the distributed renewable energy power generation end at the user end, and generating the optimal distributed renewable energy power generation end characteristic text data required by the user end; S7. Construct user-side distributed renewable energy power dispatching management data and execute user-side distributed renewable energy power dispatching management operations.

2. According to a big data driven power grid new energy dispatching management method according to claim 1, it is characterized by: The S1 comprises the following steps: S11. Collect the user's power demand information online through the data collection dialog box of the power management platform, and generate the user's 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. According to a big data driven power grid new energy dispatching management method according to claim 2, it is characterized by: The S2 comprises the following steps: S21. Establishing a feature text data set for distributed renewable energy generation , ;in Indicates Characteristic text data of distributed renewable energy generation terminals, Indicates the maximum number of distributed renewable energy generation terminals; S22, using a depth-restricted search algorithm to With the As stated in Perform geographic location character matching and search for the Characteristic text data of the distributed renewable energy power generation terminal corresponding to the distributed renewable energy power generation terminal in the geographical area , and construct a user-side distributed renewable energy generation feature text data set , ,in Indicates Characteristic text data of distributed renewable energy generation end at user end, Indicates Characteristic text data of distributed renewable energy generation end at each user end.

4. The big data driven power grid new energy dispatching management method according to claim 3 is characterized by: The S2 comprises the following steps: S31. Establish a data set of power storage capacity at the distributed renewable energy generation end ,in Indicates Distributed renewable 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 generation terminal number to search for the characteristic text data of the distributed renewable energy generation terminal at the user end to The corresponding distributed renewable energy power generation end power storage data , and build a data set of power storage capacity at the user-side distributed renewable energy generation end ,in Indicates The power storage data of distributed renewable energy generation end at each user end, Indicates The power storage data of distributed renewable energy generation end at the user end, including and The unit is megawatt.

5. The big data driven power grid new energy dispatching management method according to claim 4 is characterized by: The S4 comprises the following steps: S41. Establish a data set of unit power transmission loss at the distributed renewable energy power generation end transmission grid ,in Indicates The unit power transmission loss data of the distributed renewable energy power generation 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 construct a data set of unit power transmission loss from distributed renewable energy generation to user end of the power grid ,in Indicates The unit power transmission loss data of the distributed renewable energy power generation end to the user end of the power grid, Indicates 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 is megawatt.

6. The big data driven power grid new energy dispatching management method according to claim 5 is characterized by: The S5 comprises the following steps: S51, the With the As stated in to The user-side power demand and the power transmission loss of the power grid are measured and processed, and a data set of power transmission loss from the distributed renewable energy power generation end to the user-side power grid is generated. ,in Indicates The data of power transmission loss from distributed renewable energy generation to user end, Indicates The data of power transmission loss from distributed renewable energy generation to user end is as follows: , ; and The unit of all 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 Data on available power storage capacity of distributed renewable energy generation terminals at user end, Indicates The available power storage data of distributed renewable energy generation end at user end, including and The unit is megawatt.

7. The big data driven power grid new energy dispatching management method according to claim 6 is characterized by: 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 power storage that is not less than the user-side power demand data. The distributed renewable energy power generation terminal number information corresponding to the available power storage data of the distributed renewable energy power generation terminal at the user end with the largest power storage value, and the optimal distributed renewable energy power generation terminal object text data required by the user end is constructed , execute to generate the optimal distributed renewable energy generation end object text data required by the user end The specific steps are as follows: S611, initializing parameters and updating the maximum number of iterations T of the algorithm; S612, initializing the new energy generation end to search for the location of the seagull population, that is, the new energy generation end searches for the seagull population to update the available power storage data set of the distributed new energy 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 distributed new energy generation end at the user end and the power demand data at the user end The fitness value in the above example is retained in the data set of available power storage capacity of the distributed renewable energy generation end at the user end. The search space is related to the user end 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 collision between seagulls at different renewable energy power generation ends in the search space; secondly, the available power storage data set of the distributed renewable energy power generation end at the user end is calculated; Search space to satisfy the requirement that the power storage capacity is not less than the power demand data of the user end and 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; thirdly, according to the power storage amount being not less than the power demand data at the user end 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 the available power storage amount of the distributed new energy generation end at the user end by searching the seagull at the new energy generation end at the user end Search for new positions in the space that do not collide with the adjacent renewable energy generation terminals during movement ; S6142, calculating the available power storage data set of the distributed new energy generation end at the user end Search space to satisfy 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 distributed new energy generation end at the user end with the largest power storage value ; S6143, according to the power storage capacity being not less than the power demand data of the user end, The user-side distributed new energy generation end with the largest power storage value can be moved to a new position in the direction of the optimal position where the power storage data is located. ; S615, attacking 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 power storage amount not less than the power demand data of the user end The user-side distributed new energy generation end with the largest power storage capacity data is used to perform spiral motion in the air, and at the same time, the user-side distributed new energy generation end with the largest power storage capacity data is identified to meet the power storage capacity not less than the power demand data of the user-side The user-end distributed renewable energy generation end with the largest power storage value has available power storage data, and the renewable energy generation end searches for the new position of the seagull after attacking the prey ; S616: Determine whether the maximum number of iterations is met, and then output the data satisfying that the power storage amount is not less than the power demand amount of the user end. and the available power storage capacity data of the distributed new energy power generation end at the user end with the largest power storage capacity value; if not satisfied, return to step S613; S617: The power storage capacity outputted in step S616 is not less than the power demand data of the user end. The distributed renewable energy power generation terminal number information corresponding to the available power storage data of the distributed renewable energy power generation terminal at the user end with the largest power storage value, and the optimal distributed renewable energy power generation terminal object text data required by the user end is constructed ; S62, the With the As stated in to Perform character matching on the distributed renewable energy generation terminal number to search for the The corresponding user-side distributed renewable energy power generation end feature text data, and construct the optimal distributed renewable energy power generation end feature text data required by the user side .

8. The big data driven power grid new energy dispatching management method according to claim 7 is characterized by: 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 renewable energy generation terminal is as described above. Perform user-side distributed renewable energy power dispatching management operations.

9. 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 as claimed in any one of claims 1 to 8, characterized in that: The system includes a new energy power dispatching information collection management module, a new energy power dispatching data analysis management module, and a new energy power dispatching execution management module.

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