Energy scheduling method and system for power grid

Abstract

The invention discloses an energy scheduling method and system for a power grid, and relates to the technical field of power grid energy scheduling, and the method comprises the steps: dividing a power grid coverage area into a limited number of equihexagonal blocky power supply areas, and setting a distributed scheduling center for collecting electric energy data and implementing a scheduling scheme; a cloud service center arranged on the upper layer of a distributed dispatching center is used for carrying out load prediction on a block-shaped power supply area and designing a distributed dispatching scheme of the block-shaped power supply area, a total dispatching center arranged on the upper layer of the cloud service center is used for carrying out global dispatching on power grid energy, and the three layers of structures are connected through data transmission channels. According to the method, power grid energy dispatching is divided into a limited number of subsystems and a three-layer dispatching structure, so that the flexibility of power grid energy dispatching is effectively improved; by designing the fault diagnosis method of the data transmission channel, the stability of power grid energy scheduling is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid energy scheduling, and particularly relates to an energy scheduling method and system for a power grid. Background Art

[0002] Power grid energy scheduling is a crucial part of modern power systems, which covers the efficient coordination among power generation, power transmission, power distribution, and users. With the rapid development of smart grids and renewable energy, scheduling technologies increasingly rely on advanced data analysis and optimization algorithms to improve efficiency, being able to process massive data, predict load changes, optimize power generation plans, and coordinate the collaborative operation among different energy types; However, the existing power grid energy scheduling technologies have limited capabilities in processing real-time data, making it difficult to quickly respond to the rapid changes in the power grid state. Meanwhile, the algorithm complexity is high and requires processing a large amount of data, putting excessive pressure on the scheduling center. Therefore, the development of an intelligent power grid energy scheduling is of great significance. Summary of the Invention

[0003] The purpose of the present invention is to provide a multi-functional musical instrument teaching system and method for music teaching to solve the deficiencies in the background art.

[0004] To achieve the above purpose, the present invention provides the following technical solutions: An energy scheduling method for a power grid, including: Dividing the power grid coverage area into a finite number of equal hexagonal areas as block power supply areas, constructing a distributed scheduling center based on the central points of the block power supply areas, and the distributed scheduling center is used to collect real-time load data and historical load data of the block power supply areas and implement energy scheduling schemes including distributed energy scheduling schemes and global energy scheduling schemes; Connecting a predetermined number of distributed scheduling centers to a cloud computing service center, and the cloud computing service center is used to perform data interaction with the power generation side and the distributed scheduling centers and design distributed energy scheduling schemes, obtain the load data of the block power supply areas including real-time load data, historical load data, and the power generation data of the power generation side including thermal power generation, clean energy power generation, and the energy storage capacity of energy storage devices, wherein the historical load data includes long-term historical load data and short-term historical load data, design distributed energy scheduling schemes for the block power supply areas based on the load data and power generation data and transmit them to the distributed scheduling centers through data transmission channels; Connecting all cloud service centers to the general scheduling center, and the general scheduling center monitors the energy data generated by the block power supply areas adopting distributed energy scheduling schemes and designs global energy scheduling schemes according to the real-time power supply data; When a data transmission channel fails, forward the electrical energy data through adjacent data transmission channels, and set data detection points and data encapsulation to locate the faulty channel.

[0005] In a new embodiment, the step of dividing the power grid coverage area into a finite number of equal hexagonal areas as block power supply areas and constructing a distributed dispatching center based on the center points of the block power supply areas is as follows: The power grid coverage area is divided into a finite number of equal hexagonal areas to obtain a plurality of block power supply areas. A distributed dispatching center is constructed based on the geographical center points of the block power supply areas. Adjacent block power supply areas perform data interaction through a data transmission channel; The distributed dispatching center is used to collect real-time load data and historical load data of the block power supply areas, define a preset load, divide the block power supply areas into first-level load areas, second-level load areas, and third-level load areas according to the historical load data, and at the same time receive and implement the distributed energy dispatching plan and the global energy dispatching plan sent by the cloud service center and the general dispatching center.

[0006] In a new embodiment, the step of defining a preset load and dividing the block power supply areas into first-level load areas, second-level load areas, and third-level load areas according to the historical load data is as follows: Define that the preset load levels include heavy load level, medium load level, and low load level. The areas with historical load data at the heavy load level are used as first-level load areas; The areas with historical load data at the medium load level are used as second-level load areas; The areas with historical load data at the low load level are used as third-level load areas; Define that the area information includes first-level load area information, second-level load area information, and third-level load area information.

[0007] In a new embodiment, the step of the cloud computing service center for performing data interaction with the power generation side and the block power supply areas and designing a distributed energy dispatching plan is as follows: Connect a preset number of distributed dispatching centers to the cloud service center. The cloud service center and the distributed dispatching centers perform data interaction through a data transmission channel. Adjacent cloud service centers also perform data interaction through a data transmission channel; Construct a recurrent neural network in the cloud service center, use the recurrent neural network to train the long-term historical load data to obtain a load prediction model, use the short-term historical load data as input to obtain the predicted load data of the block power supply areas through the load prediction model, compare the predicted load data with the power generation data, and obtain a dispatching plan according to the area information.

[0008] In a new embodiment, the step of comparing the predicted load data with the power generation data and obtaining a dispatching plan according to the area information is as follows: Obtain the predicted load data of the block power supply area through the load prediction model, obtain the area information and calculate the occupancy rates of the first-level load area, second-level load area, and third-level load area in the block power supply area; Define a preset occupancy rate. When the occupancy rate of the first-level load area exceeds the preset occupancy rate, thermal power generation is used for power supply. When the occupancy rate of the first-level load area is lower than the preset occupancy rate, thermal power generation and clean energy generation are used for power supply. The supply amounts of thermal power generation and clean energy generation change according to the occupancy rates of the second-level load area and the third-level load area. When the occupancy rates of the second-level load area and the third-level load area increase, the supply amount of clean energy generation also increases.

[0009] In a new embodiment, the steps of connecting all cloud service centers to the general dispatching center, where the general dispatching center monitors the energy data generated by the block power supply area adopting the distributed energy dispatching scheme and designs a global energy dispatching scheme according to the real-time power supply data are as follows: All cloud service centers are connected to the general dispatching center, and data interaction is carried out through the data transmission channel; The general dispatching center includes a real-time load database and a dispatching design module; After the block power supply area implements the distributed energy dispatching scheme, the real-time load data collected by the distribution center is transmitted to the real-time load database through the data transmission channel, and a global dispatching scheme is designed based on the real-time load data for global energy dispatching.

[0010] In a new embodiment, the steps of designing a global dispatching scheme based on the real-time load data for global energy dispatching are as follows: When the distributed energy dispatching scheme is implemented in the block power supply area, when there is insufficient or excessive power supply in some areas of the block power supply area, a global dispatching scheme is designed for global energy dispatching, and there are three ways of global energy dispatching; The first is when there is insufficient power supply in the block power supply area. The dispatching design module analyzes the area level of the power supply insufficient area based on the area information. If there is insufficient power supply in the first-level area, search whether the adjacent block power supply area has energy storage equipment. If so, supply power through the energy storage equipment. If not, supply power through thermal power generation; The second is if there is insufficient power supply in the second-level area, search whether the adjacent block power supply area has energy storage equipment. If so, supply power through the energy storage equipment. If not, calculate the missing load data, search whether the adjacent block power supply area has a phenomenon of excessive power supply and the excess is greater than the missing load data. If so, transmit the excess power to the power supply insufficient area. If neither exists, supply power with clean energy; The third is if there is insufficient power supply in the third-level area, search whether there is a situation of excessive power supply in all block power supply areas. If so, transmit the excess power to the power supply insufficient area. If not, generate power through clean energy.

[0011] In a new embodiment, when a data transmission channel fails, power data is forwarded through an adjacent data transmission channel, and the steps of setting data detection points and data encapsulation to locate the faulty channel are as follows: Take the starting point of power data transmission as the sending end; Set three detection points in the data transmission channel. When the power data passes through the three detection points, it indicates successful power data transmission. When the power data passes through each detection point, the detection point will mark part of the information of the data transmission channel as marked data on the power data and at the same time send the marked data back to the sending end, where the part of the information is one-third of the data transmission channel information; When a data transmission channel fails, the sending end encapsulates the returned marked data and the power data to obtain encapsulated data, and forwards the encapsulated data through a randomly selected adjacent sending end; Send the power data containing the encapsulated data to the management end of the power grid, and locate the faulty data transmission channel by parsing the encapsulated data.

[0012] The present invention also provides an energy scheduling system for a power grid, Distribution scheduling module: Divide the power grid coverage area into a finite number of equal hexagon areas as block power supply areas, and build a distribution scheduling center based on the center points of the block power supply areas. The distribution scheduling center is used to collect real-time load data and historical load data of the block power supply areas and implement energy scheduling plans including distributed energy scheduling plans and global energy scheduling plans; Cloud service module: Connected to the distribution scheduling module, connect a predetermined number of distribution scheduling centers to the cloud computing service center. The cloud computing service center is used to interact with the power generation side and the distribution scheduling center for data and design distributed energy scheduling plans, obtain the load data of the block power supply areas including real-time load data, historical load data, and the power generation data of the power generation side including thermal power generation, clean energy generation, and energy storage capacity of energy storage devices. Among them, the historical load data includes long-term historical load data and short-term historical load data, and design distributed energy scheduling plans for the block power supply areas based on the load data and power generation data and transmit them to the distribution scheduling center through the data transmission channel; Total scheduling module: Connected to the cloud service module, connect all cloud service centers to the total scheduling center. The total scheduling center monitors the energy data generated by the block power supply areas adopting distributed energy scheduling plans and designs a global energy scheduling plan according to the real-time power supply data; Fault diagnosis module: Connected to the total scheduling module, when a data transmission channel fails, forward power data through an adjacent data transmission channel, and locate the faulty channel by setting data detection points and data encapsulation.

[0013] In the above technical solution, the technical effects and advantages provided by the present invention are as follows: 1. By dividing the power grid coverage area into a finite number of equilateral hexagon subsystems, the present invention improves the fault tolerance of the power grid, reduces the impact of single-point failures, and constructs a distributed dispatching center, a cloud service center, and a general dispatching center. According to real-time load data and power supply data, the energy distribution can be optimized, clean energy and energy storage devices can be better utilized, the dependence on traditional thermal power generation can be reduced, thereby reducing carbon emissions. At the same time, the data calculation is processed in layers, reducing the amount of data processing and realizing efficient and stable dispatching of the power grid energy; 2. By constructing a data transmission channel detection point, when a failure occurs in the data transmission channel through which the electrical energy data passes, the detection point provides marked data to locate the faulty channel. At the same time, since the distributed dispatching center, the cloud service center, and the general dispatching center are connected to each other through the data transmission channel and exchange electrical energy data, the stable transmission of the electrical energy data is ensured, enhancing the reliability of the power grid. Description of the Drawings

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0015] Figure 1 It is a flowchart of the method of the present invention; Figure 2 It is a system block diagram of the present invention. Detailed Embodiments

[0016] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. 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.

[0017] Embodiment 1. Please refer to Figure 1 As shown, a method for energy dispatching of a power grid in this embodiment includes: S1. Divide the power grid coverage area into a finite number of equilateral hexagon areas as block power supply areas, and construct a distributed dispatching center based on the center points of the block power supply areas. The distributed dispatching center is used to collect real-time load data and historical load data of the block power supply areas and implement energy dispatching plans, including distributed energy dispatching plans and global energy dispatching plans; S2. Connect a predetermined number of distribution dispatch centers to the cloud computing service center. The cloud computing service center is used to interact with the power generation side and the distribution dispatch centers for data and design a distributed energy dispatch plan. Obtain the load data of the block power supply area, including real-time load data, historical load data, and the power generation data of the power generation side, including thermal power generation, clean energy power generation, and the energy storage capacity of energy storage devices. Among them, the historical load data includes long-term historical load data and short-term historical load data. Design a distributed energy dispatch plan for the block power supply area based on the load data and power generation data and transmit it to the distribution dispatch center through a data transmission channel; S3. Connect all cloud service centers to the general dispatch center. The general dispatch center monitors the energy data generated by the block power supply areas adopting the distributed energy dispatch plan and designs a global energy dispatch plan according to the real-time power supply data; S4. When the data transmission channel fails, forward the power energy data through the adjacent data transmission channels, and locate the faulty channel by setting data detection points and data encapsulation; As described in the above steps S1 - S6, grid energy dispatch is a crucial part of modern power systems, which covers the efficient coordination among power generation, power transmission, power distribution, and users. With the rapid development of smart grids and renewable energy, dispatch technology increasingly relies on advanced data analysis and optimization algorithms to improve efficiency. However, the existing grid energy dispatch technology has limited processing capacity for real-time data and is difficult to quickly respond to the rapid changes in grid states. At the same time, the algorithm complexity is high and a large amount of data needs to be processed, putting excessive pressure on the dispatch center. The present invention divides the grid coverage area into a finite number of equilateral hexagon subsystems to improve the fault tolerance of the grid and reduce the impact of single-point failures. By constructing distribution dispatch centers, cloud service centers, and a general dispatch center, the energy distribution can be optimized according to real-time load data and power supply data, making better use of clean energy and energy storage devices, reducing the dependence on traditional thermal power generation, thereby reducing carbon emissions. At the same time, the data calculation is processed in layers, reducing the amount of data processing, achieving efficient and stable grid energy dispatch. Meanwhile, by constructing data transmission channel detection points, when the power energy data fails to pass through the data transmission channel, the marked data provided by the detection points locates the faulty channel. At the same time, since the distribution dispatch centers, cloud service centers, and the general dispatch center are connected to each other through data transmission channels and exchange power energy data, the stable transmission of power energy data is ensured, enhancing the reliability of the grid.

[0018] In one embodiment, step S1 of dividing the grid coverage area into a finite number of equilateral hexagon areas as block power supply areas and constructing a distribution dispatch center based on the center points of the block power supply areas includes: S11. Divide the power grid coverage area into a finite number of equal hexagonal areas to obtain multiple block power supply areas. Construct a distributed dispatching center based on the geographical location center points of the block power supply areas. Adjacent block power supply areas perform data interaction through a data transmission channel; S12. The distributed dispatching center is used to collect the real-time load data and historical load data of the block power supply areas, define a preset load, divide the block power supply areas into first-level load areas, second-level load areas, and third-level load areas according to the historical load data, and at the same time receive and implement the distributed energy dispatching plan and the global energy dispatching plan sent by the cloud service center and the general dispatching center; As described in the above steps S11 - S12, the power grid coverage area is divided into multiple equal hexagonal block power supply areas based on the geographical location. A distributed dispatching center is constructed at the geographical location center point of each block power supply area. The distributed dispatching centers of adjacent block power supply areas are connected to each other through a data transmission channel and perform data interaction through the data transmission channel. The distributed dispatching center is used to collect the power data of the block power supply area where it is located, including real-time load data and historical load data. The real-time load data is the load data of each area collected hourly. However, due to urban planning reasons, the historical load data of the power supply area will change greatly as the recording time extends. Therefore, the historical load data includes long-term historical load data and short-term historical load data. The long-term historical load data records the load data of each area in hours within one year, and the short-term historical load records the load data of each area in hours within one month. The distributed dispatching center transmits the collected power data to the cloud service center through the data transmission channel. At the same time, the cloud service center designs a dispatching plan based on the received data and sends it to the distributed dispatching center.

[0019] In one embodiment, step S12 of dividing the block power supply areas into first-level load areas, second-level load areas, and third-level load areas according to the historical load data by defining the preset load includes: S141. Define that the preset load levels include heavy load level, medium load level, and low load level. The areas with historical load data at the heavy load level are used as first-level load areas; S142. The areas with historical load data at the medium load level are used as second-level load areas; S143. The areas with historical load data at the low load level are used as third-level load areas; S144. Define that the area information includes first-level load area information, second-level load area information, and third-level load area information; As described in the above steps S141 - S144, the preset load levels are defined as heavy load level, medium load level, and low load level. By comparing the historical load numbers, the block power supply areas are divided into first - level load areas, second - level load areas, and third - level load areas. For example, when the total load of a region is 1000, if the load ratio of the region to the total load is 70% - 100%, it is a first - level load area; if the load ratio is 40% - 70%, it is a second - level load area; if the load ratio is 0% - 40%, it is a third - level load area. That is, when the total load of a region is 1000, the load range of the heavy load level is 700 - 1000, the load range of the medium load level is 400 - 700, and the load range of the low load level is 0 - 400. Based on the historical load data of each area in the block power supply area, the block power supply area is divided into first - level load areas, second - level load areas, and third - level load areas for each load level range.

[0020] In one embodiment, step S2 in which the cloud computing service center is used to perform data interaction with the power generation side and the block power supply area and design a distributed energy scheduling plan includes: S21. Connect a preset number of distribution scheduling centers to the cloud service center. The cloud service center and the distribution scheduling centers perform data interaction through a data transmission channel, and adjacent cloud service centers also perform data interaction through the data transmission channel. S22. Build a recurrent neural network in the cloud service center. Use the recurrent neural network to train the long - term historical load data to obtain a load prediction model. Use the short - term historical load data as input and obtain the predicted load data of the block power supply area through the load prediction model. Compare the predicted load data with the power generation data and obtain a scheduling plan according to the area information. As described in the above steps S21 - S22, a cloud service center is established to connect a preset number of distribution scheduling centers. At the same time, adjacent cloud service centers are connected based on a data transmission channel and data interaction is carried out through the data transmission channel. The preset number is based on the number of block power supply areas. The more the number of preset block areas, the more distribution scheduling centers the cloud service center connects. For example, if a power grid coverage area is divided into thirty block power supply areas, then ten cloud service centers are constructed and each cloud service center connects three distribution scheduling centers. A recurrent neural network is constructed inside the cloud service center to train the long - term historical load data to obtain a load prediction model, and the trained load prediction model is used to predict the short - term load data to obtain the predicted load data of the block power supply area. The predicted load data is compared with the power generation data, and an energy scheduling plan is designed based on the regional information of the block power supply area. For a specific plan, for example, the neural network can adopt a long - short - term memory network. The specific model training process is to standardize the long - term historical load data and the data of factors affecting the load, including weather and holidays, and divide them into a training set and a validation set. Then, a sequence data that converts the historical energy load data into data that can be input into the long - short - term memory network is constructed. At the same time, the data of other influencing factors is processed synchronously to construct a multi - variable time - series input. Then, a neural network model including a long - short - term memory network is constructed, and a multi - layer long - short - term memory network structure is used to capture the characteristics of different time scales. At the same time, regularization and dropout are added to prevent overfitting. Then, the training set is used to train the long - short - term network model, and the model hyperparameters, such as the learning rate and time step, are adjusted according to the performance of the validation set. The trained long - short - term network model is deployed in the cloud service as a load prediction model. By inputting the short - term load data into the load prediction model, the predicted load data of the block power supply area is obtained. Based on the comparison between the obtained predicted load data and the power generation data of the power generation end, an energy scheduling plan is designed according to the regional information of the block power supply area.

[0021] In one embodiment, the step S22 of comparing the predicted load data with the power generation data and obtaining a scheduling plan according to the regional information includes: S221. Obtain the predicted load data of the block power supply area through the load prediction model, obtain the regional information, and calculate the occupancy rates of the first - level load area, the second - level load area, and the third - level load area in the block power supply area; S222. Define a preset occupancy rate. When the occupancy rate of the first - level load area exceeds the preset occupancy rate, thermal power generation is used for power supply. When the occupancy rate of the first - level load area is lower than the preset occupancy rate, thermal power generation and clean energy generation are used for power supply. The supply amounts of thermal power generation and clean energy generation change according to the occupancy rates of the second - level load area and the third - level load area. When the occupancy rates of the second - level load area and the third - level load area increase, the supply amount of clean energy generation also increases; As described in the above steps S221 - S222, the predicted load of the block power supply area is obtained through the trained load prediction model. In the previous steps, each block power supply area is divided into a first - level load area, a second - level load area, and a third - level load area according to historical load data. The cloud service center obtains the area information of the block power supply area, calculates the occupancy rates of the first - level load area, the second - level load area, and the third - level load area, and sets a preset occupancy rate. Based on the comparison of the occupancy rates of each area in the block power supply area with the preset occupancy rate, a distributed scheduling plan is designed. When the occupancy rate of the first - level load area is higher than the preset occupancy rate, thermal power generation is used for power supply to ensure the stable power supply of the block power supply area. When the occupancy rate of the first - level load area is lower than the preset occupancy rate, thermal power generation and clean - energy power generation are used for power supply, and the ratio of the power supply amount of thermal power generation to that of clean - energy power generation is based on the occupancy rates of the second - level load area and the third - level load area. For example, in the distributed scheduling plan, the predicted load of a block power supply area obtained through the load prediction model is 2.6 million kWh per day, the preset occupancy rate is set at 70%, the occupancy rate of the first - level load area in this block power supply area is defined as 40%, the occupancy rate of the second - level load is 20%, and the occupancy rate of the third - level load area is 40%. Then, a hybrid power supply of thermal power generation and clean - energy power generation is adopted, and the hybrid power supply amount is 2.6 million kWh per day. The power supply amount of thermal power generation for the first - level load area is 1.04 million kWh per day, and clean energy is used for power supply in the remaining areas. If urban planning is carried out such that the occupancy rate of the first - level load area exceeds 70%, then all thermal power generation is used for power supply. If the occupancy rate of the first - level load area decreases, the corresponding thermal - power - generation power supply amount is reduced and the clean - energy power supply amount is increased.

[0022] In one embodiment, step S3 of connecting all cloud service centers to the general dispatch center, where the general dispatch center monitors the energy data generated by the block power supply areas adopting the distributed energy dispatch plan and designs a global energy dispatch plan according to the real - time power supply data, includes: S31. All cloud service centers are connected to the general dispatch center, and data interaction is carried out through a data transmission channel; S32. The general dispatch center includes a real - time load database and a dispatch design module; S33. After the distributed energy dispatch plan is implemented in the block power supply area, the real - time load data collected by the distribution center is transmitted to the real - time load database through the data transmission channel, and a global dispatch plan is designed based on the real - time load data for global energy dispatch; As described in the above steps S31 - S33, a general dispatching center is built on the basis of the cloud service center. The general dispatching center is connected to the cloud service center through a data transmission channel for data interaction. A real - time load database is built in the general dispatching center to collect the real - time load data of each block power supply area after adopting the distributed dispatching scheme. At the same time, a dispatching design module is built to design a general dispatching scheme based on the collected real - time load data. The block power supply areas implementing the distributed dispatching scheme will generate real - time load areas. The distributed dispatching center collects the real - time load data of the block power supply area where it is located and transmits it to the general dispatching center through the data transmission channel and the cloud service center. The general dispatching center designs a general dispatching scheme through the dispatching design module and transmits it to the distributed dispatching center through the data transmission channel and the cloud service center, and the general dispatching scheme is implemented through the distributed dispatching center.

[0023] In one embodiment, step S33 of designing a global dispatching scheme based on real - time load data for global energy dispatching includes: S331. When implementing the distributed energy dispatching scheme in a block power supply area, if there is insufficient power supply or excess power supply in some areas of the block power supply area, then design a global dispatching scheme for global energy dispatching, and there are three ways of global energy dispatching; S332. First, when there is insufficient power supply in the block power supply area, the dispatching design module analyzes the area level of the power - insufficient area based on the area information. If there is insufficient power supply in a first - level area, then search whether the adjacent block power supply areas have energy storage devices. If so, supply power through the energy storage devices; if not, supply power through thermal power generation. S333. Second, if there is insufficient power supply in a second - level area, then search whether the adjacent block power supply areas have energy storage devices. If so, supply power through the energy storage devices; if not, calculate the missing load data, search whether the adjacent block power supply areas have a phenomenon of excess power supply and the excess power is greater than the missing load data. If so, transmit the excess power to the power - insufficient area; if neither of them exists, then supply power with clean energy. S334. Third, if there is insufficient power supply in a third - level area, then search whether all block power supply areas have a situation of excess power supply. If so, transmit the excess power to the power - insufficient area; if not, generate power with clean energy. As described in the above steps S331 - S334, when implementing the distribution scheduling scheme in the block power supply area, due to the accuracy of the load prediction model, there will be phenomena of insufficient power supply or excess power supply in some block power supply areas. To ensure the full utilization of electricity, a general scheduling scheme is designed to achieve global scheduling of the power grid coverage area and avoid power waste. Global power scheduling is carried out based on the phenomena of insufficient power supply and excess power supply. When there is insufficient power supply in the block power supply, the general scheduling center, based on the collected real - time load data and regional information, obtains the regional level of the area with insufficient power supply. If there is insufficient power supply in the first - level power supply area, the general scheduling center analyzes the real - time load data of the adjacent block power supply areas and searches whether the adjacent block power supply areas of the area with insufficient power supply have energy storage devices. If there are energy storage devices, the energy storage devices are used for power supplement; if not, thermal power generation is used for power supplement. If there is insufficient power supply in the second - level area, the general scheduling center analyzes the real - time load data of the adjacent block power supply areas and searches whether the adjacent power supply areas have energy storage devices. If there are, the energy storage devices are used for power supplement; if not, the insufficient load data is calculated and compared with the excess load data of the adjacent block power supply areas. If the excess load data can meet the insufficient load data, the excess load data is used for power supplement; if not, clean energy is used for long - distance power supplement. If there is a phenomenon of insufficient power supply in the third - level load area, the general scheduling center searches whether there is a phenomenon of excess power supply in all block power supply areas. If there is, power supplement is carried out through all the block power supply areas with excess power supply; if there is no phenomenon of excess power supply, clean energy is used for long - distance power supplement.

[0024] In one embodiment, when the data transmission channel fails, the electric energy data is forwarded through the adjacent data transmission channels, and step S4 of setting data detection points and data encapsulation to locate the faulty channel includes: S41: Take the starting point of the electric energy data transmission as the sending end; Set three detection points in the data transmission channel. The successful transmission of the electric energy data is indicated by the electric energy data passing through the three detection points. When the electric energy data passes through each detection point, the detection point will mark part of the information of the data transmission channel as the marked data on the electric energy data and at the same time send the marked data back to the sending end, where the part of the information is one - third of the data transmission channel information; S42: When the data transmission channel fails, the sending end encapsulates the returned marked data and the electric energy data to obtain the encapsulated data, and forwards the encapsulated data through a randomly selected adjacent sending end; S43: Send the electric energy data containing the encapsulated data to the management end of the power grid, and locate the faulty data transmission channel by parsing the encapsulated data to obtain the marked data; As described in the above steps S41 - S43 and the above method, a three - layer scheduling structure is constructed in the power grid coverage area. The first layer consists of block power supply areas, distributed scheduling centers, and data transmission channels connecting the distributed scheduling centers. The second layer consists of cloud service centers and data transmission channels connecting the cloud service centers. The third layer is the general scheduling center. Each layer is connected through data transmission channels and data interaction is carried out. The stability of the data transmission channel represents the stability of the power grid energy scheduling. If a fault occurs in the data transmission channel, the power grid energy scheduling will be chaotic. Therefore, a fault diagnosis module is set up. Three detection points are set in the data transmission channel, distributed at the head, middle, and tail of the data transmission channel. At the same time, the channel information of the data transmission channel is evenly divided into three parts as partial channel information and stored in the detection points at the head, middle, and tail in turn. The channel information includes the bandwidth, transmission characteristics, noise characteristics, delay characteristics, and reliability characteristics of the channel. When the power data passes through the detection point, the detection point will mark the partial channel information on the power data as marked data and at the same time send the marked data back to the sending end. If a data transmission channel fault occurs, the returned marked data and the power data are encapsulated and randomly select an adjacent data transmission channel for forwarding. Encapsulation is to pack the marked data and the power data into an encapsulated data. After the power data transmission is completed, the encapsulated data is sent to the management end. The management end analyzes the marked data in the encapsulated data to locate the faulty data transmission channel and repairs it. The overall steps are, for example, when a data transmission channel between a distributed scheduling center and the corresponding cloud service center fails, taking the distributed scheduling center as the sending end and the data transmission channel fails when passing through two detection points, then the two parts of the returned marked data and the power data are encapsulated as the encapsulated data. At the same time, randomly select a distributed scheduling center from the adjacent distributed scheduling centers, transmit through the connected data transmission channel and forward the power data through this distributed scheduling center to the cloud service center. When the cloud service center detects that the power data contains the encapsulated data, it sends the power data to the management end. The management end analyzes the encapsulated data to locate the faulty data transmission channel. The management end is used to manage the overall scheduling structure to ensure the stability of the scheduling structure.

[0025] An energy scheduling system for a power grid, comprising: A distributed scheduling module: dividing the power grid coverage area into a finite number of equilateral hexagon areas as block power supply areas, constructing a distributed scheduling center based on the center points of the block power supply areas. The distributed scheduling center is used to collect the real - time load data and historical load data of the block power supply areas and implement energy scheduling plans including distributed energy scheduling plans and global energy scheduling plans; Cloud service module: Connected to the distributed scheduling module, it connects a predetermined number of distributed scheduling centers to the cloud computing service center. The cloud computing service center is used to interact with the power generation side and the distributed scheduling centers for data and design a distributed energy scheduling plan for the block power supply area. It obtains the load data of the block power supply area, including real-time load data, historical load data, and the power generation data of the power generation side, including thermal power generation, clean energy power generation, and the energy storage capacity of energy storage devices. Among them, the historical load data includes long-term historical load data and short-term historical load data. Based on the load data and power generation data, it designs a distributed energy scheduling plan for the block power supply area and transmits it to the distributed scheduling center through the data transmission channel; Total scheduling module: Connected to the cloud service module, it connects all cloud computing service centers to the total scheduling center. The total scheduling center monitors the energy data generated by the block power supply areas adopting the distributed energy scheduling plan and designs a global energy scheduling plan according to the real-time power supply data; Fault diagnosis module: Connected to the total scheduling module, when the data transmission channel fails, it forwards the power data through the adjacent data transmission channels and locates the faulty channel by setting data detection points and data encapsulation.

[0026] As described above, it is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claimed rights.

Claims

1. A method for dispatching energy for a power grid, characterized in that: The grid coverage area is divided into a limited number of equal hexagonal areas as block power supply areas, and a distributed dispatching center is built based on the center point of the block power supply area. The distributed dispatching center is used to collect real-time load data and historical load data of the block power supply area and implement energy dispatching plans including distributed energy dispatching plans and global energy dispatching plans; A predetermined number of distribution dispatching centers are connected to a cloud computing service center. The cloud computing service center is used to exchange data with the power generation side and the distribution dispatching center and design a distributed energy dispatching plan. The load data of the block power supply area includes real-time load data, historical load data, and power generation data of the power generation side includes thermal power generation, clean energy power generation, and energy storage capacity of energy storage equipment, wherein the historical load data includes long-term historical load data and short-term historical load data. Based on the load data and power generation data, a distributed energy dispatching plan for the block power supply area is designed and transmitted to the distribution dispatching center through a data transmission channel; Connect all cloud service centers to the general dispatch center, which monitors the energy data generated by the block power supply areas that adopt the distributed energy dispatch solution, and designs a global energy dispatch solution based on the real-time power supply data; When a data transmission channel fails, power data is forwarded through adjacent data transmission channels, and the faulty channel is located by setting data detection points and data encapsulation.

2. The energy dispatching method for a power grid according to claim 1, characterized in that: The steps of dividing the grid coverage area into a finite number of equal hexagonal areas as block power supply areas and constructing a distributed dispatching center based on the center point of the block power supply area are as follows: The grid coverage area is divided into a finite number of equal hexagonal areas to obtain multiple block power supply areas, and a distributed dispatching center is built based on the geographical location center point of the block power supply area. Adjacent block power supply areas exchange data through data transmission channels. The distributed dispatching center is used to collect real-time load data and historical load data of the block power supply area, define preset loads, and divide the block power supply area into primary load area, secondary load area and tertiary load area according to historical load data. At the same time, it receives and implements the distributed energy dispatching plan and global energy dispatching plan sent by the cloud service center and the general dispatching center.

3. The energy dispatching method for a power grid according to claim 2, characterized in that: The steps of defining the preset load and dividing the block power supply area into the primary load area, the secondary load area and the tertiary load area according to the historical load data are as follows: The preset load levels are defined to include heavy load level, medium load level and low load level, and the area where the historical load data is in the heavy load level is regarded as the first-level load area; The area with the historical load data at the medium load level is regarded as the secondary load area; The area with historical load data at a low load level is regarded as a third-level load area; The defined area information includes primary load area information, secondary load area information and tertiary load area information.

4. The energy dispatching method for a power grid according to claim 1, characterized in that: The steps for the cloud computing service center to interact with the power generation side and the block power supply area and design a distributed energy scheduling solution are as follows: A preset number of distributed dispatching centers are connected to the cloud service center. The cloud service center and the distributed dispatching center exchange data through a data transmission channel. Adjacent cloud service centers also exchange data through a data transmission channel. A recurrent neural network is constructed in the cloud service center. The long-term historical load data is trained using the recurrent neural network to obtain a load forecasting model. The short-term historical load data is used as input to obtain the predicted load data of the block power supply area through the load forecasting model. The predicted load data is compared with the power generation data and a scheduling plan is obtained based on the regional information.

5. The energy dispatching method for a power grid according to claim 4, characterized in that: The steps of comparing the predicted load data with the power generation data and obtaining a dispatching plan according to the regional information are: Obtain predicted load data of the block power supply area through the load prediction model, obtain regional information and calculate the occupancy rate of the primary load area, the secondary load area and the tertiary load area in the block power supply area; Define a preset occupancy rate. When the occupancy rate of the primary load area exceeds the preset occupancy rate, thermal power generation is used for power supply. When the occupancy rate of the primary load area is lower than the preset occupancy rate, thermal power generation and clean energy power generation are used for power supply. The supply of thermal power generation and clean energy power generation varies according to the occupancy rate of the secondary load area and the tertiary load area. When the occupancy rate of the secondary load area and the tertiary load area increases, the supply of clean energy power generation will also increase.

6. The energy dispatching method for a power grid according to claim 1, characterized in that: The steps of connecting all cloud service centers with the general dispatching center, the general dispatching center monitoring the energy data generated by the block power supply area adopting the distributed energy dispatching scheme, and designing the global energy dispatching scheme according to the real-time power supply data are as follows: All cloud service centers are connected to the general dispatch center and exchange data through data transmission channels; The general dispatching center includes real-time load database and dispatching design module; When the distributed energy dispatching scheme is implemented in the block power supply area, the real-time load data collected by the distribution center is transmitted to the real-time load database through the data transmission channel, and a global dispatching scheme is designed based on the real-time load data to carry out global energy dispatching.

7. The energy dispatching method for a power grid according to claim 6, characterized in that: The steps of designing a global dispatching scheme based on real-time load data to perform global energy dispatching are: When implementing a distributed energy dispatching scheme in a block power supply area, if some areas of the block power supply area are underpowered or overpowered, a global dispatching scheme is designed to perform global energy dispatching. There are three ways to dispatch energy globally: The first type is when a block power supply area is short of power supply. The dispatch design module analyzes the regional level of the short-power supply area based on regional information. If a first-level area is short of power supply, it searches whether the adjacent block power supply area has energy storage equipment. If so, it supplies power through the energy storage equipment. If not, it supplies power through thermal power generation. The second type is that if there is insufficient power supply in the secondary area, the adjacent block power supply area is searched to see if it has energy storage equipment. If so, it is used for power supply. If there is no missing load data, the adjacent block power supply area is searched to see if there is excess power supply and it is greater than the missing load data. If so, the excess power is transmitted to the insufficient power supply area. If neither of them is available, clean energy is used for power supply. In the third case, if there is insufficient power supply in the third-level area, all block power supply areas will be searched to see if there is excess power supply. If so, the excess power will be transmitted to the insufficient power supply area. If not, clean energy will be used to generate electricity.

8. The energy dispatching method for a power grid according to claim 1, characterized in that: When a data transmission channel fails, the steps of forwarding power data through adjacent data transmission channels and locating the faulty channel by setting data detection points and data encapsulation are as follows: The starting point of sending the electric energy data is regarded as the sending end; Three detection points are set in the data transmission channel. When the electric energy data passes through the three detection points, it means that the electric energy data transmission is successful. When the electric energy data passes through each detection point, the detection point will mark part of the information of the data transmission channel as marking data on the electric energy data and will also return the marking data to the sending end, in which part of the information is the three-equal division information of the data transmission channel information; When a data transmission channel fails, the sender encapsulates the returned tag data and the electric energy data to obtain encapsulated data, and forwards the encapsulated data through a randomly selected adjacent sender; The electric energy data including the encapsulated data is sent to the management end of the power grid, and the marking data is obtained by parsing the encapsulated data to locate the data transmission channel where the fault occurs.

9. An energy dispatching system for a power grid, used to implement an energy dispatching method for a power grid according to any one of claims 1 to 7, characterized in that: Distributed dispatching module: divide the grid coverage area into a limited number of equal hexagonal areas as block power supply areas, and build a distributed dispatching center based on the center point of the block power supply area. The distributed dispatching center is used to collect real-time load data and historical load data of the block power supply area and implement energy dispatching plans including distributed energy dispatching plans and global energy dispatching plans; Cloud service module: connected with the distribution dispatching module, connecting a predetermined number of distribution dispatching centers with the cloud computing service center. The cloud computing service center is used to exchange data with the power generation side and the distribution dispatching center and design a distributed energy dispatching plan. It obtains the load data of the block power supply area, including real-time load data, historical load data, and the power generation data of the power generation side, including thermal power generation, clean energy power generation and energy storage equipment storage capacity, wherein the historical load data includes long-term historical load data and short-term historical load data. Based on the load data and power generation data, the distributed energy dispatching plan of the block power supply area is designed and transmitted to the distribution dispatching center through the data transmission channel; General dispatch module: connected with the cloud service module, connecting all cloud service centers with the general dispatch center. The general dispatch center monitors the energy data generated by the block power supply area that adopts the distributed energy dispatch scheme, and designs the global energy dispatch scheme based on the real-time power supply data; Fault diagnosis module: connected to the general dispatching module. When a data transmission channel fails, it forwards the electric energy data through the adjacent data transmission channel and locates the faulty channel by setting data detection points and data encapsulation.

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