Power grid regulation method and system based on dual use of normal and emergency functions

Abstract

The present application discloses a power grid regulation method and system based on dual use in normal and emergency situations, which relates to the technical field of power grid regulation. The method includes: constructing a power grid supply-demand grid based on supply-side structure data and demand-side structure data; obtaining the overall valley-filling probability and emergency impact factor of each power grid supply-demand grid based on regional historical state data; constructing a state opposition relationship of the power grid supply-demand grid based on the opposition relationship of emergency impact factors and the overall valley-filling probability; obtaining the emergency impact factors within a preset time sequence, and obtaining the emergency probability prediction value of each power grid supply-demand grid according to the emergency impact factors within the preset time sequence; and performing power grid regulation based on the emergency probability prediction value and the state opposition relationship of the power grid supply-demand grid. The beneficial effects of the present application are: ensuring the stability of emergency supply, reducing the regulation times of power supply stations in valley-filling areas, and improving the system stability.

Description

Technical Field

[0001] This application relates to the technical field of power grid regulation, and particularly to a power grid regulation method and system based on dual-purpose of normal and emergency use. Background Art

[0002] Most of the related power grid regulation technologies adopt static threshold judgment or single-dimensional evaluation strategies to unidirectionally adjust the power grid output in the emergency state. The supply side and the demand side in multiple regions are separated from each other. The supply side and the demand side in the flat valley state are oriented by economy, while the supply side and the demand side in the emergency state rely on the ex-post call of fixed reserve capacity, resulting in the idle of redundant resources on the supply side during the flat valley period, while the supply side during the emergency period cannot supply enough basic electric energy to the demand side.

[0003] In the related technologies, the regulation in the normal and emergency states is more based on distance priority, that is, the supply side closer to the current emergency area supplies power to the emergency area. The reason for this regulation is that the emergency dispatch is carried out after an emergency occurs and needs to supply electric energy faster. However, in the case of some mobile disasters, the supply side closer to the current emergency area is more likely to be affected by the disaster in the subsequent time series, thus losing the supply capacity, resulting in continuous lag in dispatch and affecting the basic power supply demand of the emergency area.

[0004] The patent application "An Emergency Command and Dispatch System and Method Based on Power Services", publication number: CN119515359A, publication date: February 25, 2025, specifically discloses that the system constructs a power service emergency command and dispatch platform including four major modules: real-time monitoring, data analysis, decision support, and dispatch command. The real-time monitoring module is responsible for collecting power system data, and the data analysis module identifies abnormalities and potential risks. The decision support module realizes the dynamic optimization and update of decision algorithms and rules by defining the emergency state space, action space, and response strategy, and combining the emergency strategy model constructed by the reinforcement learning algorithm, ensuring the rapid and accurate formulation of emergency treatment plans. The dispatch command module is responsible for coordinating resource allocation and dispatch according to the decision results to ensure the rapid recovery and stable power supply of the power system. This solution combines the reinforcement learning algorithm, and the decision support module can quickly evaluate the fault state and automatically select the optimal combination of emergency actions. However, it is still for fault recovery, and there will still be a problem of lag in dispatch in the case of some mobile disasters.

[0005] Patent "Multi - energy System Regulation and Optimization Method and Device Considering Flexible Resources on the Demand Side", Publication Number: CN119494451A, Publication Date: February 21, 2025. Specifically, it discloses that the multi - energy system includes a first energy supply side and a second energy supply side. The multi - energy system regulation and optimization method includes: predicting the magnitude of the second power generation according to the power generation situation under the historical weather samples of the second energy supply side; where the sum of the values of the first power generation and the second power generation is the total power generation; establishing a power supply distribution model for the target area, meshing the target area through a topological network, marking each grid in the target area according to the identity information registered by the electricity - using objects, and comparing the power consumption of different priority areas with the power supply of the multi - energy system to perform regulation. Although this solution meshes the target area through topological grids, and performs dynamic regulation based on the power consumption of different priority areas, it cannot be adapted to the regulation of regional power grids in areas that may be in an emergency state. Summary of the Invention

[0006] In view of the technical problem that the existing power grid regulation method depends on distance - based dynamic regulation and ignores the disaster risks brought by distance, this application provides a power grid regulation method and system based on dual - use of normal and emergency scenarios. By constructing a power grid supply - demand grid from supply - side structure data and demand - side structure data, calculating the state opposition relationship between power grid supply - demand grids, using the power grid supply - demand grids with an emergency probability within a preset time sequence as supply targets, and obtaining the power grid supply - demand grids with an opposing emergency impact factor to the supply target based on the state opposition relationship, and using these as supply units to perform power grid regulation. This ensures that when the current power grid supply - demand grid is still in an emergency state, the power supply station supplying it will not be in an emergency state, thus ensuring the stability of emergency supply, reducing the regulation times of power supply stations in Pinggu District, and improving the system stability.

[0007] To achieve the above - mentioned technical objectives, a technical solution provided by this application is a power grid regulation method based on dual - use of normal and emergency scenarios, including the following steps: constructing a power grid supply - demand grid based on supply - side structure data and demand - side structure data; obtaining the overall valley - flat probability and emergency impact factor of each power grid supply - demand grid based on regional historical state data; constructing the state opposition relationship of power grid supply - demand grids based on the opposition relationship of emergency impact factors and the overall valley - flat probability; obtaining the emergency impact factors within a preset time sequence, and obtaining the emergency probability prediction value of each power grid supply - demand grid according to the emergency impact factors within the preset time sequence; performing power grid regulation based on the emergency probability prediction value and the state opposition relationship of power grid supply - demand grids.

[0008] Further, constructing the power grid supply-demand grid based on the supply-side structure data and the demand-side structure data includes: constructing the power grid supply grid based on the ranges of each power supply station on the supply side; constructing the power grid demand grid based on the input consistency on the demand side; and constructing the power grid supply-demand grid with the power grid supply grid and the power grid demand grid.

[0009] Further, constructing the power grid supply grid based on the ranges of each power supply station on the supply side includes: obtaining the initial grid size based on the ranges of each power supply station on the supply side; obtaining the compensation range based on the relationship between each power supply station type and the environmental impact; and constructing the power grid supply grid according to the initial grid size and the compensation range.

[0010] Further, obtaining the overall flat valley probability and the emergency impact factor of each power grid supply-demand grid based on the regional historical status data includes: obtaining the flat valley state duration and the emergency state duration of each power grid supply-demand grid according to the regional historical status data; obtaining the overall flat valley probability according to the proportion of the flat valley state duration in the entire historical time series; and obtaining the emergency impact factor of each power grid supply-demand grid according to the difference between the flat valley state and the emergency state in the regional historical status data.

[0011] Further, constructing the state opposition relationship of the power grid supply-demand grid based on the opposition relationship of the emergency impact factors and the overall flat valley probability includes: obtaining the emergency impact factor of each power grid supply-demand grid, and constructing the opposition relationship of the emergency impact factors according to the time series interleaving and the opposition of the existence reasons of the emergency impact factors; and obtaining the sorting of the state opposition relationship of the power grid supply-demand grid by integrating the opposition relationship of the emergency impact factors and the overall flat valley probability.

[0012] Further, obtaining the emergency impact factor within the preset time series and obtaining the emergency probability prediction value of each power grid supply-demand grid according to the emergency impact factor within the preset time series includes: obtaining the environmental data of the preset time series, and matching the emergency impact factor and the emergency impact factor weight within the preset time series of each power grid supply-demand grid according to the environmental data of the preset time series; calculating the emergency impact coefficient according to the emergency impact factor and the emergency impact factor weight within the preset time series; and outputting the emergency probability prediction value according to the proportion of the emergency state of the emergency impact coefficient in the same historical time series.

[0013] Further, performing power grid regulation based on the emergency probability prediction value and the state opposition relationship of the power grid supply-demand grid includes: retrieving the corresponding state opposition relationship based on the emergency probability prediction value of each power grid supply-demand grid; establishing the emergency supply relationship of each power grid supply-demand grid according to the state opposition relationship, and adjusting the flat valley supply relationship based on the emergency supply relationship to perform the power grid regulation for both normal and emergency use.

[0014] Further, the implementation of power grid regulation based on the emergency probability prediction value and the state opposition relationship of the power grid supply-demand grid includes: obtaining a set of state opposition grids according to the state opposition relationship, and allocating supply regulation amounts based on the stability degree of the power grid supply grids in the set of state opposition grids according to the minimum path influence, so as to establish an emergency supply relationship for each power grid supply-demand grid, and implementing power grid regulation based on the emergency supply relationship.

[0015] Further, the implementation of power grid regulation based on the emergency probability prediction value and the state opposition relationship of the power grid supply-demand grid further includes: obtaining a valley regulation amount according to the emergency supply relationship, establishing a valley supply relationship based on the valley regulation amount and the flexible load ratio according to the minimum fluctuation, and implementing power grid regulation based on the valley supply relationship.

[0016] Another technical solution provided by this application is a power grid regulation system for both normal and emergency use, which is used to implement the above method, including: a grid layout unit for constructing a power grid supply-demand grid according to supply-side structure data and demand-side structure data; a probability calculation unit for obtaining the overall valley probability and emergency influence factor of each power grid supply-demand grid according to regional historical state data; an opposition analysis unit for constructing a state opposition relationship of the power grid supply-demand grid according to the opposition relationship of the emergency influence factors and the overall valley probability; and a strategy output unit for outputting an emergency probability prediction value according to the emergency influence factor, and outputting a power grid regulation strategy according to the emergency probability prediction value and the state opposition relationship of the power grid supply-demand grid.

[0017] Another technical solution provided by this application is a computer-readable storage medium, in which a computer program or instruction is stored, and when the computer program or instruction is executed by a processing device, the above method is implemented.

[0018] The beneficial effects of this application are as follows: 1. Taking each power supply station as the supply side and the power consumption end as the demand side, constructing a power grid supply-demand grid according to the supply-side structure data and the demand-side structure data, and showing the overall regulation requirements in a local area, such as a power supply station output as a whole and a community input as a whole. Furthermore, obtaining the normal and emergency states of each power grid supply-demand grid in different situations according to the regional historical state data, obtaining the overall valley probability and the emergency influence factor affecting the emergency state, and obtaining the state opposition relationship of the power grid supply-demand grid according to the opposition relationship of the emergency influence factors and the overall valley probability, so as to show the state difference degree of each power grid supply-demand grid. Then, according to the emergency probability prediction value and the state opposition relationship of each power grid supply-demand grid, calling the power grid supply-demand grid with a state difference degree from it to perform supply compensation for the power grid supply-demand grid with a higher emergency probability, realizing the dynamic regulation of the power grid for both normal and emergency use.

[0019] 2. Sort and retrieve the power grid supply grids in sequence according to the state opposition relationship to supply the power grid supply and demand grids with emergency probabilities, supply the demand side that may be affected by more stable power supply stations, ensure the power supply demand in the emergency state, and at the same time, through the state opposition relationship sorting, make multiple power supply stations supply power together to avoid affecting the power supply of the demand side in the flat valley state. Brief Description of the Drawings

[0020] Figure 1 It is a schematic flowchart of the power grid regulation method based on the combination of normal and emergency use of this application. Detailed Embodiment

[0021] To make the purpose, technical solution and advantages of this application clearer and more understandable, the following further elaborates on this application in combination with the drawings and embodiments. It should be understood that the specific embodiment described here is only one of the best embodiments of this application, only used to explain this application, and does not limit the protection scope of this application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0022] As Figure 1 shown, as Embodiment 1 of this application, the power grid regulation method based on the combination of normal and emergency use includes the following steps:

[0023] Construct power grid supply and demand grids based on supply-side structure data and demand-side structure data;

[0024] Obtain the overall flat valley probability and emergency impact factor of each power grid supply and demand grid based on regional historical state data;

[0025] Construct the state opposition relationship of the power grid supply and demand grids based on the emergency impact factor opposition relationship and the overall flat valley probability;

[0026] Obtain the emergency impact factors within a preset time sequence, and obtain the emergency probability prediction values of each power grid supply and demand grid according to the emergency impact factors within the preset time sequence;

[0027] Execute power grid regulation based on the emergency probability prediction values and the state opposition relationship of the power grid supply and demand grids.

[0028] In this embodiment, each power supply station is used as the supply side, and the power consumption end is used as the demand side. A power grid supply-demand grid is constructed based on the supply-side structure data and the demand-side structure data to show the overall regulation requirements in a local area. For example, the same power supply station outputs as a whole, and the same community inputs as a whole. Furthermore, the flat and emergency states of each power grid supply-demand grid under different conditions are obtained according to the regional historical state data, the overall flat valley probability and the emergency impact factors affecting the emergency state are obtained. According to the opposition relationship of the emergency impact factors and the overall flat valley probability, the state opposition relationship of the power grid supply-demand grid is obtained, so as to show the state difference degree of each power grid supply-demand grid. Then, according to the predicted emergency probability value of each power grid supply-demand grid and the state opposition relationship, the power grid supply-demand grid with a state difference degree from it is called to supply compensation for the power grid supply-demand grid with a higher emergency probability, realizing the dynamic regulation of the power grid for both normal and emergency use.

[0029] Specifically, constructing a power grid supply-demand grid based on the supply-side structure data and the demand-side structure data includes:

[0030] Constructing a power grid supply grid based on the scope of each power supply station on the supply side;

[0031] Constructing a power grid demand grid based on the input consistency on the demand side;

[0032] Constructing a power grid supply-demand grid with the power grid supply grid and the power grid demand grid.

[0033] The supply-side structure data includes at least the scope of the power supply station, and the demand-side structure data includes at least the demand-side input source. Unit grids on the supply side are constructed corresponding to the size of the power supply station scope, and unit grids on the demand side are constructed according to the consistency of the demand-side input source, so that the same input and the same output respectively correspond to a unit grid, reflecting the overall dynamic changes in the form of a grid, reducing the calculation amount while ensuring the accuracy of the overall calculation.

[0034] In some cases, constructing a power grid supply grid based on the scope of each power supply station on the supply side includes:

[0035] Obtaining the initial grid size based on the scope of each power supply station on the supply side;

[0036] Obtaining the compensation range based on the relationship between the type of each power supply station and the environmental impact;

[0037] Constructing a power grid supply grid according to the initial grid size and the compensation range.

[0038] In this case, first obtain the initial grid size according to the size of the power supply site itself, and then obtain the compensation range according to the environmental impact on the power supply site, so as to realize the dynamic change of the power grid supply grid and ensure the accuracy of the overall calculation of the power grid supply grid. For example, a photovoltaic power station is affected by the lighting environment. Taking the coverage range of lighting as the environmental impact relationship, the range with the same lighting intensity as the photovoltaic power station is included in the grid range of the photovoltaic power station; a wind power station is affected by the wind force. Taking the influence range of the wind force as the environmental impact relationship, the range with the same wind force as the wind power station is included in the grid range of the wind power station.

[0039] Specifically, obtaining the compensation range based on the type of each power supply site and the environmental impact relationship includes:

[0040] Obtain the corresponding historical environmental data and coordinate data according to the power generation influencing factors corresponding to each power supply site type;

[0041] Obtain the compensation range according to the similarity of the historical environmental data and the continuity of the coordinate data.

[0042] When the power supply site is a photovoltaic power station, obtain the historical lighting data of the photovoltaic power station and the historical lighting data of other areas. Determine whether there is an environmental impact relationship according to the comparison result between the lighting fluctuation similarity of the historical lighting data of the photovoltaic power station and the historical lighting data of other areas and the preset lighting similarity threshold. The preset lighting similarity threshold can be obtained according to the lighting fluctuation similarity between the edge lighting data and the central lighting data of the power supply site. When the lighting fluctuation similarity is higher than the preset lighting similarity threshold and the coordinate data is continuous, it is considered that this area is included in the power grid supply grid corresponding to this photovoltaic site, so as to avoid mis-inclusion caused by accidental similarity and improve the construction accuracy of the power grid supply grid. It can be understood that when the power supply site is a wind power station, obtain the historical wind force data of the wind power station and the historical wind force data of other areas. Determine whether there is an environmental impact relationship according to the comparison result between the wind force fluctuation similarity of the historical wind force data of the wind power station and the historical wind force data of other areas and the preset wind force similarity threshold. The preset wind force similarity threshold can be obtained according to the fluctuation similarity between the edge wind force data and the central wind force data of the power supply site. Take the minimum wind force fluctuation similarity between the edge wind force data and the central wind force data as the preset wind force similarity threshold. When the wind force fluctuation similarity is higher than the preset wind force similarity threshold, it is considered that this area is included in the power grid supply grid corresponding to this wind power station. In this embodiment, the preset lighting similarity threshold for flat areas is 90%, the preset lighting similarity threshold for mountainous areas is 82%, the preset wind force similarity threshold for flat areas is 85%, and the preset wind force similarity threshold for mountainous areas is 70%.

[0043] Constructing the power grid demand grid based on the input consistency on the demand side includes:

[0044] Taking a distribution transformer area as a power grid demand grid, the demand side is divided into several power grid demand grids.

[0045] In this case, it is considered that the demand units belonging to a distribution transformer area have the same input. That is, if there is a fault in the input of the distribution transformer area, all demand units within the distribution transformer area cannot meet the normal power supply demand.

[0046] In some other cases, constructing a power grid demand grid based on the input consistency of the demand side includes:

[0047] Constructing a power grid demand grid according to the consistency of the power supply stations corresponding to the demand side.

[0048] In this case, tracing the power on the demand side, taking the demand units with the same power source as a power grid demand grid. When the power supply station of the power source fails or shuts down, the demand units in this power grid demand grid cannot meet the normal power supply demand.

[0049] It can be understood that whether the power grid demand grid is divided according to the distribution transformer area or the power supply station consistency, it can be carried out based on the current power grid laying architecture without additional calculation.

[0050] Obtaining the overall valley probability and emergency impact factor of each power grid supply-demand grid based on the regional historical status data includes:

[0051] Obtaining the valley state duration and emergency state duration of each power grid supply-demand grid according to the regional historical status data;

[0052] Obtaining the overall valley probability according to the proportion of the valley state duration in the entire historical time series;

[0053] Obtaining the emergency impact factor of each power grid supply-demand grid according to the difference between the valley state and the emergency state in the regional historical status data.

[0054] The overall valley probability obtained according to the proportion of the valley state duration in the entire historical time series is:

[0055] ;

[0056] Wherein, represents the overall valley probability, represents the historical valley state duration, represents the entire historical time series duration.

[0057] It can be understood that the overall valley probability can also be calculated according to the overall emergency probability. Obtaining the overall emergency probability according to the proportion of the emergency state duration in the entire historical time series:

[0058] ;

[0059] Among them, represents the overall emergency probability, represents the historical emergency state duration, represents the entire historical time series duration. At this time, since the sum of the overall emergency probability and the overall flat valley probability is 1, the overall flat valley probability is equal to 1 - the overall emergency probability.

[0060] In this embodiment, the status is divided according to the emergency responses in different regions of the area. If there is no emergency response in the power grid supply and demand grid at this time series, it is considered that the power grid supply and demand grid is in the flat valley state at this time series. If there is an emergency response in the power grid supply and demand grid at this time series, it is considered that the power grid supply and demand grid is in the emergency state at this time series.

[0061] Obtaining the emergency impact factors of each power grid supply and demand grid according to the differences between the flat valley state and the emergency state in the historical state data of the area includes:

[0062] Extracting the environmental characteristics in the flat valley state and the environmental characteristics in the emergency state according to the historical environmental data of the power grid supply and demand grid;

[0063] Obtaining the emergency impact factors and the weights of the emergency impact factors according to the differences between the environmental characteristics in the flat valley state and the environmental characteristics in the emergency state.

[0064] The power grid supply and demand grids in coastal areas are more vulnerable to the influence of typhoons. At this time, the differences between the environmental characteristics in the flat valley state and the environmental characteristics in the emergency state of the power grid supply and demand grids in coastal areas mainly come from the environmental characteristics under the influence of typhoons. These are used as the emergency impact factors for the power grid supply and demand grids in coastal areas, and the degree of influence on the power grid supply and demand grids in different regions is calculated, which is used as the weights of the emergency impact factors for different power grid supply and demand grids. For example, although both are in coastal areas, there are mountains within the range of power grid supply and demand grid A, which can isolate the excessive wind speed to a certain extent. The range of power grid supply and demand grid B belongs to the plain area. Therefore, the wind speed weight of power grid supply and demand grid A is lower than the wind speed weight corresponding to the wind speed of power grid supply and demand grid B. And landslides are likely to occur in power grid supply and demand grid A due to the influence of rainfall, while landslides are not likely to occur within the range of power grid supply and demand grid B. Therefore, the rainfall weight of power grid supply and demand grid A is higher than the rainfall weight of power grid supply and demand grid B. It can be understood that for each power grid supply and demand grid, the sum of the weights of its various emergency impact factors is 1, and the comparison between power grid supply and demand grid A and power grid supply and demand grid B is based on the same emergency impact factors.

[0065] In some cases, a neural network architecture can be used to learn the emergency impact factors and their weights for each power grid supply-demand grid. By constructing a deep neural network learning model, driven by historical environmental data and the state of the power grid supply-demand grid, the mapping relationship of environmental characteristics under normal and emergency states is learned. The input layer of the network receives the time series of multi-dimensional environmental parameters (such as wind speed, temperature, rainfall, etc.). The hidden layer uses the LSTM or Transformer structure to capture spatio-temporal dependencies, and the output layer synchronously generates emergency impact factors (such as wind speed, rainfall, etc.) and their dynamic weights. By introducing an attention mechanism, the non-linear impact of different environmental variables on the state of the power grid supply-demand grid is quantified. Thus, based on the matching of future environmental data and emergency impact factors, and the degree of influence of emergency impact factors on the future state of the power grid supply-demand grid (the weights of emergency impact factors), the state of the power grid supply-demand grid is predicted, facilitating early emergency control and reducing disaster losses.

[0066] Based on the opposition relationship of emergency impact factors and the overall probability of Pinggu, the state opposition relationship of the power grid supply-demand grid includes:

[0067] Obtain the emergency impact factors of each power grid supply-demand grid, and construct the opposition relationship of emergency impact factors according to the time-series interleaving and the opposition of existence reasons of emergency impact factors;

[0068] Comprehensively consider the opposition relationship of emergency impact factors and the overall probability of Pinggu to obtain the ranking of the state opposition relationship of the power grid supply-demand grid.

[0069] In this embodiment, the opposition relationship of emergency impact factors is constructed according to the time-series interleaving and the opposition of existence reasons of emergency impact factors. For example, typhoon weather will inevitably bring a large amount of rainfall, and there is a problem of too little rainfall in dry weather. At this time, the opposition relationship of emergency impact factors is constructed according to the differences in emergency impact factors of each power grid supply-demand grid at the same time series and the differences at different time series under the same emergency impact factor. When the existence reason of the emergency impact factor of power grid supply-demand grid C at time series T1 is opposite to the existence reason of the emergency impact factor of power grid supply-demand grid D at time series T1, it is considered that there is an opposition relationship of emergency impact factors between power grid supply-demand grid C and power grid supply-demand grid D at this time series; and when power grid supply-demand grid E has an emergency impact factor E1 at time series T2, and power grid supply-demand grid F has an emergency impact E1 at time series T5, it is considered that there is a time-series interleaving of the emergency impact factors of power grid supply-demand grid E and power grid supply-demand grid F, that is, there is an opposition relationship of emergency impact factors between power grid supply-demand grid E and power grid supply-demand grid F. It can be understood that the same power grid supply-demand grid may have an opposition relationship of impact factors with different power grid supply-demand grids.

[0070] When there is an opposing relationship of influence factors between a power grid supply-demand grid and different power grid supply-demand grids, sort the state opposing relationships of the power grid supply-demand grids by integrating the opposing relationship of the comprehensive emergency influence factors and the overall flat valley probability. Specifically, the power grid supply-demand grid with a larger overall flat valley probability is considered more stable, so it has a higher sorting level. The power grid supply-demand grid with a smaller overall flat valley probability is considered more likely to be in an emergency state, so it has a lower sorting level.

[0071] Obtain the emergency influence factors within a preset time sequence, and obtain the emergency probability prediction values of each power grid supply-demand grid according to the emergency influence factors within the preset time sequence, including:

[0072] Obtain the environmental data of the preset time sequence, and match the emergency influence factors and the weights of the emergency influence factors within the preset time sequence of each power grid supply-demand grid according to the environmental data of the preset time sequence;

[0073] Calculate the emergency influence coefficient according to the emergency influence factors and the weights of the emergency influence factors within the preset time sequence;

[0074] Output the emergency probability prediction value according to the proportion of the emergency state corresponding to the emergency influence coefficient in the same historical time sequence.

[0075] Specifically, calculate the emergency influence coefficient according to the emergency influence factors and the weights of the emergency influence factors within the preset time sequence as:

[0076] ;

[0077] Among them, represents the emergency influence coefficient of the jth power grid supply-demand grid, represents the number of emergency influence factors of the jth power grid supply-demand grid, represents the weight of the emergency influence factor of the ith emergency influence factor of the jth power grid supply-demand grid, represents the parameter of the ith emergency influence factor of the jth power grid supply-demand grid.

[0078] Obtain the emergency probability prediction value according to the proportion of the emergency state corresponding to the emergency influence coefficient in the total state number in the same historical time sequence, so as to incorporate the influence of the time sequence on the emergency state. For example, the wind directions of different seasonal winds are different, and their influences on each power grid supply-demand grid are also different, avoiding the influence of fixed thresholds on the accuracy of emergency probability prediction.

[0079] In some other cases, in order to further avoid the influence brought by the time sequence change, obtain the emergency probability prediction value according to the fluctuation value of the proportion of the emergency state corresponding to the emergency influence coefficient in the same historical time sequence, so as to incorporate the deviation caused by different time sequence changes.

[0080] Perform power grid regulation based on the emergency probability prediction value and the state opposing relationship of the power grid supply-demand grid, including:

[0081] Retrieve the corresponding state opposition relationship based on the emergency probability prediction values of each power grid supply - demand grid;

[0082] Establish the emergency supply relationship for each power grid supply - demand grid according to the state opposition relationship, and adjust the Pinggu supply relationship based on the emergency supply relationship to implement the power grid regulation for both normal and emergency use.

[0083] In this embodiment, retrieve the power grid supply - demand grids with state opposition relationships according to the emergency probability prediction values of each power grid supply - demand grid. For example, when the emergency probability prediction value of a power grid supply - demand grid is greater than 0, that is, there is a possibility of emergency, then retrieve the power grid supply - demand grid with which it has a state opposition relationship. When the emergency probability prediction value of a power grid supply - demand grid is equal to 0, that is, there is no possibility of emergency, then do not perform the state correspondence relationship for this power grid supply - demand grid.

[0084] In some cases, retrieve the power grid supply grids in sequence according to the state opposition relationship for supply to the power grid supply - demand grids with emergency probabilities. Supply power to the potentially affected demand side with more stable power supply stations to ensure the power supply demand in the emergency state. At the same time, through the state opposition relationship sorting, multiple power supply stations supply power together to avoid affecting the power supply to the demand side in the Pinggu state. It can be understood that when a certain power grid supply grid has an emergency probability, even if its corresponding power grid demand grid does not have an emergency probability, still assign the corresponding emergency probability to this power grid demand grid, so as to reflect the impact of the power supply station affected by the disaster on its power supply area.

[0085] In other cases, implementing power grid regulation based on the emergency probability prediction value and the state opposition relationship of the power grid supply - demand grid includes:

[0086] Obtain the set of state opposition grids according to the state opposition relationship, and allocate the supply regulation amount based on the stability degree of the power grid supply grids in the set of state opposition grids according to the minimum path impact, so as to establish the emergency supply relationship for each power grid supply - demand grid, and implement power grid regulation according to the emergency supply relationship.

[0087] In this case, construct an optimization objective function based on the minimum path impact, comprehensively calculate the path impact value according to the emergency probabilities of the power grid supply - demand grids covered by the lines between the power grid supply grids in the set of state opposition grids and the power grid supply - demand grids with emergency probabilities. Take the minimum comprehensive path impact value as the goal, calculate the priority according to the stability degree of the power grid supply grids, and thus obtain the optimal emergency supply relationship.

[0088] The comprehensive calculation of the path impact value according to the emergency probabilities of the power grid supply - demand grids covered by the lines between the power grid supply grids in the set of state opposition grids and the power grid supply - demand grids with emergency probabilities is:

[0089] ;

[0090] Among them, Y represents the path influence value, K represents the number of power grid supply grids in the set of state - opposing grids, represents the stability coefficient of the k - th power grid supply grid, represents the number of power grid supply - demand grids covered on the supply path of the k - th power grid supply grid for the power grid supply - demand grid with an emergency probability, represents the predicted value of the emergency probability of the r - th power grid supply - demand grid covered on the supply path of the k - th power grid supply network for the power grid supply - demand grid with an emergency probability.

[0091] In this embodiment, the stability coefficient of the power grid supply grid can be obtained according to the output power fluctuation ratio of the power grid supply grid in the historical time series corresponding to the preset time series.

[0092] In one case, taking the redundant output power of the power grid supply grid as the first constraint condition and the minimum input power of the power grid demand grid as the second constraint condition. At this time, among the power grid supply grids in the set of state - opposing grids, while maintaining the original supply - demand relationship, the redundant electric energy is transmitted to the demand side with an emergency probability, but only ensuring the basic electricity consumption demand of the demand side, such as the electricity consumption demand of lighting facilities on the demand side, the heating electricity consumption demand in cold weather, etc. The minimum output power can be calculated based on the maximum electricity consumption basic demand in the historical emergency state to ensure the basic electricity consumption in the emergency state.

[0093] In some other cases, performing power grid regulation based on the predicted value of the emergency probability and the state - opposing relationship of the power grid supply - demand grids further includes:

[0094] Obtaining the flat - valley regulation amount according to the emergency supply relationship, establishing the flat - valley supply relationship based on the flat - valley regulation amount and the flexible load ratio, and performing power grid regulation according to the flat - valley supply relationship.

[0095] At this time, only taking the minimum output power of the power grid demand grid as the constraint condition for the minimum path influence, calculating the reduction of the electric energy input required for the power grid demand grid in the flat - valley state (without emergency probability) according to the emergency supply relationship, so as to take the minimum fluctuation as the optimization objective function, reducing the electric energy supply of the corresponding power grid demand grid according to the flexible load ratio of different power grid demand grids, and ensuring the minimum power grid fluctuation during the adjustment process, so as to avoid the power grid demand grids in the flat - valley area being affected by excessive regulation, thus ensuring the power supply demand in the emergency area as much as possible within the largest range, supplying power to the emergency area with the supply scheme of the minimum path influence as much as possible, and avoiding secondary power outages in the emergency area.

[0096] In some other embodiments, performing power grid regulation based on the predicted value of the emergency probability and the state - opposing relationship of the power grid supply - demand grids includes:

[0097] Obtain the set of state - opposition grids according to the state - opposition relationship, and construct a two - layer objective optimization function with the minimum path impact and the minimum fluctuation;

[0098] According to the stability degree of the power grid supply grids and the proportion of flexible load in the power grid demand grids in the set of state - opposition grids, obtain the overall regulation strategy according to the two - layer objective optimization function, and execute the power grid regulation with the overall regulation strategy.

[0099] In this embodiment, a two - layer objective optimization function is constructed with the minimum path impact and the minimum fluctuation, taking the stability degree of the power grid supply grids and the proportion of flexible load in the power grid demand grids in the set of state - opposition grids as inputs, and outputting an overall regulation strategy that can not only ensure the normal power consumption of the demand units in the flat - valley area but also ensure the basic power consumption of the demand units in the emergency area.

[0100] The two - layer objective optimization function constructed with the minimum path impact and the minimum fluctuation is:

[0101] ;

[0102] ;

[0103] Among them, represents the number of power grid supply grids obtained according to the minimum path impact; represents the exponential function. When is satisfied, the output is 1. When is not satisfied, the output is 0. represents the redundant output power of the k - th power grid supply grid, represents the total flexible load power in the power grid demand grid corresponding to the k - th power grid supply grid, represents the output power that the k - th power grid supply grid needs to output to the power grid demand grid with an emergency probability.

[0104] At this time, when the redundant output power of the power grid supply grid still does not meet the emergency demand after turning off all flexible loads, it is necessary to adjust the power supply relationship of the power grid demand grid in the flat - valley area, that is, there will be power grid fluctuations. When the number of power grid fluctuations is smaller and the path impact is the smallest, the corresponding overall regulation strategy is output, taking into account the power demand on the demand side in the flat - valley state and the power demand on the demand side in the emergency state.

[0105] As the second embodiment of the present application, a power grid regulation system based on dual - use of flat and emergency includes:

[0106] A grid layout unit for constructing a power grid supply - demand grid according to the supply - side structure data and the demand - side structure data;

[0107] A probability calculation unit, configured to obtain the overall valley-filling probability and emergency impact factors of each power grid supply-demand grid according to the regional historical status data;

[0108] An opposition analysis unit, configured to construct the state opposition relationship of the power grid supply-demand grid according to the opposition relationship of the emergency impact factors and the overall valley-filling probability;

[0109] A strategy output unit, configured to output an emergency probability prediction value according to the emergency impact factors, and output a power grid regulation strategy according to the emergency probability prediction value and the state opposition relationship of the power grid supply-demand grid.

[0110] In this embodiment, the grid layout unit is connected to the probability calculation unit, the probability calculation unit is connected to the opposition analysis unit, and the strategy output unit is connected to the power grid control end, the opposition analysis unit, and the probability calculation unit.

[0111] In some cases, the probability calculation unit is configured to construct an emergency probability model for the power grid supply-demand grid based on the regional historical status data and the historical environment data, and learn the influence of different environmental characteristics on the states of different power grid supply-demand grids according to the neural network model, so as to obtain the corresponding emergency impact factors and emergency impact factor weights, which are used as the basis for predicting the emergency probability of the power grid supply-demand grid in the future time series.

[0112] As the third embodiment of the present application, a computer-readable storage medium is used to store computer programs or instructions. When the computer programs or instructions are executed by a processing device, the above-mentioned power grid regulation method based on dual use of normal and emergency is implemented. The computer-readable storage medium can be any available medium that can be stored by a computing device or a data storage device such as a data center including one or more available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid-state drive), etc.

[0113] The above-mentioned specific implementation manners are the preferred implementation manners of the power grid regulation method and system based on dual use of normal and emergency of the present application, and do not limit the specific implementation scope of the present application. The scope of the present application includes but is not limited to this specific implementation manner. Any equivalent changes made according to the shape and structure of the present application are within the protection scope of the present application.

Claims

1. A power grid regulation method based on dual use in normal and emergency situations, characterized in that: It includes the following steps: Construct a power grid supply-demand grid based on supply-side structure data and demand-side structure data; Obtain the overall valley-flat probability and emergency impact factor of each power grid supply-demand grid based on regional historical status data; Construct the state opposition relationship of the power grid supply-demand grid based on the opposition relationship of emergency impact factors and the overall valley-flat probability; Obtain the emergency impact factors within a preset time sequence, and obtain the emergency probability prediction value of each power grid supply-demand grid according to the emergency impact factors within the preset time sequence; Execute power grid regulation based on the emergency probability prediction value and the state opposition relationship of the power grid supply-demand grid; Wherein, Obtain the valley-flat state duration and emergency state duration of each power grid supply-demand grid according to regional historical status data; Obtain the overall valley-flat probability according to the proportion of the valley-flat state duration in the entire historical time sequence; Obtain the emergency impact factor of each power grid supply-demand grid according to the difference between the valley-flat state and the emergency state in the regional historical status data; Obtain the emergency impact factors of each power grid supply-demand grid, and construct the opposition relationship of emergency impact factors according to the time sequence interleaving and the opposition of existence reasons of the emergency impact factors; Comprehensively obtain the state opposition relationship sorting of the power grid supply-demand grid based on the opposition relationship of emergency impact factors and the overall valley-flat probability; Retrieve the corresponding state opposition relationship based on the emergency probability prediction value of each power grid supply-demand grid; Establish the emergency supply relationship of each power grid supply-demand grid according to the state opposition relationship, and adjust the valley-flat supply relationship based on the emergency supply relationship to execute the power grid regulation for both normal and emergency use.

2. The power grid regulation method based on normal and emergency use according to claim 1, wherein: The construction of the power grid supply-demand grid based on supply-side structure data and demand-side structure data includes: Construct a power grid supply grid based on the scope of each power supply station on the supply side; Construct a power grid demand grid based on the input consistency on the demand side; Construct a power grid supply-demand grid with the power grid supply grid and the power grid demand grid.

3. The power grid regulation method based on normal and emergency use according to claim 2, wherein: The construction of the power grid supply grid based on the scope of each power supply station on the supply side includes: Obtain the first grid size based on the scope of each power supply station on the supply side; Obtain the compensation range based on the relationship between each power supply station type and environmental impact; Construct a power grid supply grid according to the first grid size and the compensation range.

4. The power grid regulation method based on normal and emergency use according to claim 1, wherein: The obtaining of the emergency impact factors within a preset time sequence and the obtaining of the emergency probability prediction value of each power grid supply-demand grid according to the emergency impact factors within the preset time sequence include: Obtain the environmental data of the preset time sequence, and match the emergency impact factors and the emergency impact factor weights within the preset time sequence of each power grid supply-demand grid according to the environmental data of the preset time sequence; Calculate the emergency impact coefficient according to the emergency impact factors and the emergency impact factor weights within the preset time sequence; Output the emergency probability prediction value according to the proportion of the emergency state of the emergency impact coefficient in the same historical time sequence.

5. The power grid regulation method based on normal and emergency use according to claim 2, wherein: The execution of power grid regulation based on the emergency probability prediction value and the state opposition relationship of the power grid supply-demand grid includes: Obtain the set of state-opposed grids according to the state-opposed relationship, and allocate the supply regulation amount based on the stability degree of the power grid supply grids in the set of state-opposed grids according to the minimum path influence, so as to establish the emergency supply relationship of each power grid supply-demand grid, and perform power grid regulation according to the emergency supply relationship.

6. The power grid regulation method based on dual use of normal and emergency as described in claim 5, characterized in that: The power grid regulation performed based on the emergency probability prediction value and the state-opposed relationship of the power grid supply-demand grid further includes: Obtain the flat-valley regulation amount according to the emergency supply relationship, establish the flat-valley supply relationship based on the flat-valley regulation amount and the flexible load ratio according to the minimum fluctuation, and perform power grid regulation according to the flat-valley supply relationship.

7. A power grid regulation system based on dual use of normal and emergency, used to implement the method described in any one of claims 1 to 6, characterized in that: A grid layout unit, used to construct a power grid supply-demand grid according to the supply-side structure data and the demand-side structure data; A probability calculation unit, used to obtain the overall flat-valley probability and the emergency influence factor of each power grid supply-demand grid according to the regional historical state data; An opposition analysis unit, used to construct the state-opposed relationship of the power grid supply-demand grid according to the opposition relationship of the emergency influence factors and the overall flat-valley probability; A strategy output unit, used to output the emergency probability prediction value according to the emergency influence factor, and output the power grid regulation strategy according to the emergency probability prediction value and the state-opposed relationship of the power grid supply-demand grid.

8. A computer-readable storage medium, characterized in that: The computer program or instruction is stored in the storage medium, and when the computer program or instruction is executed by the processing device, the method described in any one of claims 1 to 6 is implemented.

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