Power grid regulation and control method and system based on dual purposes of peacetime and urgency

Abstract

The invention discloses a power grid regulation and control method and system based on both peacetime and urgency, and relates to the technical field of power grid regulation and control, and the method comprises the steps: constructing a power grid supply and demand grid based on supply side structure data and demand side structure data; based on the regional historical state data, obtaining the overall valley probability and the emergency influence factor of each power grid supply and demand grid; based on the emergency influence factor contrary relation and the overall valley-filling probability, constructing a state contrary relation of the power grid supply and demand grids; acquiring emergency influence factors in a preset time sequence, and acquiring an emergency probability prediction value of each power grid supply and demand grid according to the emergency influence factors in the preset time sequence; and executing power grid regulation and control based on the emergency probability prediction value and the state opposite relation of the power grid supply and demand grids. The method has the beneficial effects that the emergency supply stability is ensured, the regulation and control frequency of the power supply station in the flat valley region is reduced, and the system stability is improved.

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 sides and demand sides in multiple regions are separated from each other. The supply sides and demand sides in the flat valley state are oriented by economy, while the supply sides and demand sides in the emergency state rely on the ex-post call of fixed reserve capacity. As a result, the redundant resources of the supply side in the flat valley period are idle, while the supply side in 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 emergency dispatching is carried out after an emergency occurs and power needs to be supplied 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 subsequent time series, thus losing the supply capacity, resulting in continuous lag in dispatching 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 constructing an emergency strategy model combined with 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 dispatching 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. It specifically discloses that a 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 based on the power generation situation of the second energy supply side under historical weather samples; wherein, 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 conduct regulation. Although this solution meshes the target area through topological grids, the dynamic regulation based on the power consumption of different priority areas cannot be adapted to the regulation of regional power grids 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 for normal and emergency situations. 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, taking 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 according to the state - opposition relationship, and using them as supply units to execute 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 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 for normal and emergency situations, 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; executing power grid regulation based on the emergency probability prediction value and the state - opposition relationship of power grid supply - demand grids.

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

[0009] Further, the construction of the power grid supply grid based on the scope of each power supply station on the supply side includes: obtaining the initial grid size based on the scope 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 power grid regulation based on the emergency probability prediction value and the state opposition relationship of the power grid supply and demand grids 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 and demand grid, and performing power grid regulation based on the emergency supply relationship.

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

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

[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, power grid supply and demand grids are constructed according to the supply-side structure data and the demand-side structure data, showing the overall regulation requirements in a local area. For example, the same power supply station is output as a whole, and the same community is input as a whole. Furthermore, according to the regional historical state data, the flat and emergency states of each power grid supply and demand grid in different situations are obtained, the overall flat valley probability and the emergency impact factors affecting the emergency state are obtained, and the state opposition relationship of the power grid supply and demand grids is obtained according to the emergency impact factor opposition relationship and the overall flat valley probability, so as to show the state difference degree of each power grid supply and demand grid. Then, according to the emergency probability prediction value and the state opposition relationship of each power grid supply and demand grid, the power grid supply and demand grids with a state difference degree from it are called for supply compensation of the power grid supply and demand grid with a higher emergency probability, realizing the dynamic regulation of the power grid for dual use in normal and emergency situations.

[0019] 2. Sort and retrieve the power grid supply grids according to the state opposition relationship in sequence 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 enable multiple power supply stations to supply power together through the state opposition relationship sorting, so as 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 flow chart 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, the following further details this application in conjunction with the drawings and embodiments. It should be understood that the specific embodiment described here is only a best embodiment 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 work belong to 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: Construct a power grid supply and demand grid based on the supply-side structure data and the demand-side structure data; Obtain the overall flat valley probability and emergency impact factor of each power grid supply and demand grid based on the regional historical state data; Construct the state opposition relationship of the power grid supply and demand grid based on the opposition relationship of the emergency impact factor and the overall flat valley probability; Obtain the emergency impact factors within a preset time sequence, and obtain the emergency probability prediction value of each power grid supply and 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 and demand grid.

[0023] 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 normal and emergency states of each power grid supply-demand grid under different conditions are obtained according to the regional historical state data, the overall probability of power grid valley filling and the emergency impact factors affecting the emergency state are obtained. The state opposition relationship of the power grid supply-demand grid is obtained according to the opposition relationship of the emergency impact factors and the overall probability of power grid valley filling, so as to show the state difference degree of each power grid supply-demand grid. Furthermore, 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 perform supply compensation for the power grid supply-demand grid with a higher emergency probability, so as to realize the dynamic regulation of the power grid for both normal and emergency use.

[0024] Specifically, constructing a power grid supply-demand grid based on the supply-side structure data and the demand-side structure data includes: Constructing a power grid supply grid based on the scope of each power supply station on the supply side; Constructing a power grid demand grid based on the input consistency on the demand side; Constructing a power grid supply-demand grid with the power grid supply grid and the power grid demand grid.

[0025] 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 change in the form of a grid, reducing the calculation amount while ensuring the accuracy of the overall calculation.

[0026] In some cases, constructing a power grid supply grid based on the scope of each power supply station on the supply side includes: Obtaining the initial grid size based on the scope of each power supply station on the supply side; Obtaining the compensation range based on the relationship between the type of each power supply station and the environmental impact; Constructing a power grid supply grid according to the initial grid size and the compensation range.

[0027] 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 the lighting as the environmental impact relationship, the range with the same lighting intensity as the photovoltaic power station may be 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 may be included in the grid range of the wind power station.

[0028] Specifically, obtaining the compensation range based on the type of each power supply site and the environmental impact relationship includes: Obtain the corresponding historical environmental data and coordinate data according to the power generation influencing factors corresponding to each power supply site type; Obtain the compensation range according to the similarity of the historical environmental data and the continuity of the coordinate data.

[0029] 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%.

[0030] Constructing the power grid demand grid based on the input consistency on the demand side includes: Taking a distribution transformer area as a power grid demand grid, the demand side is divided into several power grid demand grids.

[0031] 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.

[0032] In some other cases, constructing a power grid demand grid based on the input consistency of the demand side includes: Constructing a power grid demand grid according to the consistency of the power supply stations corresponding to the demand side.

[0033] 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.

[0034] 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 structure without additional calculation.

[0035] Obtaining the overall valley-filling probability and emergency impact factor of each power grid supply-demand grid based on the regional historical status data includes: Obtaining the valley-filling state duration and emergency state duration of each power grid supply-demand grid according to the regional historical status data; Obtaining the overall valley-filling probability according to the proportion of the valley-filling state duration in the entire historical time series; Obtaining the emergency impact factor of each power grid supply-demand grid according to the difference between the valley-filling state and the emergency state in the regional historical status data.

[0036] The overall valley-filling probability obtained according to the proportion of the valley-filling state duration in the entire historical time series is: ; Among them, represents the overall valley-filling probability, represents the historical valley-filling state duration, represents the entire historical time series duration.

[0037] It can be understood that the overall valley-filling 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: ; Among them, represents the overall emergency probability, represents the historical emergency state duration, It 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.

[0038] 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.

[0039] 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: 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; 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.

[0040] The power grid supply and demand grids in the coastal area 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 the coastal area 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 the coastal area, and the degrees of influence on the power grid supply and demand grids in different regions are calculated, which are used as the weights of the emergency impact factors for different power grid supply and demand grids. For example, although both are in the coastal area, there are mountains within the range of power grid supply and demand grid A, which can isolate the influence of 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.

[0041] In some cases, a neural network architecture can be used to learn the emergency impact factors and the weights of emergency impact factors 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. 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, so as to facilitate early emergency control and reduce disaster losses.

[0042] 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: 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; Obtain the ranking of the state opposition relationship of the power grid supply-demand grid by integrating the opposition relationship of emergency impact factors and the overall probability of Pinggu.

[0043] 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, a 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 of emergency impact factors of each power grid supply-demand grid at the same time series and the differences of 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.

[0044] 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 influence factors and the overall valley-flat probability. Specifically, a power grid supply-demand grid with a larger overall valley-flat probability is considered more stable, so it has a higher sorting level, and a power grid supply-demand grid with a smaller overall valley-flat probability is considered more likely to be in an emergency state, so it has a lower sorting level.

[0045] Obtain the emergency influence factors within a preset time series, and obtain the emergency probability prediction values of each power grid supply-demand grid according to the emergency influence factors within the preset time series, including: Obtain the environmental data of the preset time series, and match the emergency influence factors and emergency influence factor weights within the preset time series of each power grid supply-demand grid according to the environmental data of the preset time series; Calculate the emergency influence coefficient according to the emergency influence factors and emergency influence factor weights within the preset time series; 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 series.

[0046] Specifically, calculate the emergency influence coefficient according to the emergency influence factors and emergency influence factor weights within the preset time series as: ; 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 emergency influence factor weight 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.

[0047] Obtain the emergency probability prediction value according to the proportion of the emergency state corresponding to the emergency influence coefficient in the total number of states in the same historical time series, so as to incorporate the influence of the time series 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.

[0048] In some other cases, in order to further avoid the influence of time series changes, 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 series, so as to incorporate the deviation caused by different time series changes.

[0049] Execute power grid regulation based on the emergency probability prediction value and the state opposing relationship of the power grid supply-demand grid, including: Retrieve the corresponding state opposing relationship based on the emergency probability prediction values 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 Pinggu supply relationship based on the emergency supply relationship to implement the power grid regulation for both normal and emergency use.

[0050] In this embodiment, the power grid supply-demand grids with state opposition relationships are retrieved 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 the power grid supply-demand grid with its state opposition relationship is retrieved. 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 the state correspondence relationship of this power grid supply-demand grid is not carried out.

[0051] In some cases, the power grid supply grids are retrieved in sequence according to the state opposition relationship for supply to the power grid supply-demand grids with emergency probabilities, and power is supplied to the demand side that may be affected by a more stable power supply station to ensure the power supply demand in the emergency state. At the same time, through the sorting of the state opposition relationship, 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, the corresponding emergency probability is still assigned 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.

[0052] In other cases, the 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 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 of each power grid supply-demand grid, and implement the power grid regulation according to the emergency supply relationship.

[0053] In this case, an optimization objective function is constructed based on the minimum path impact, and the path impact value is comprehensively calculated 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. With the goal of minimizing the comprehensive path impact value and calculating the priority according to the stability degree of the power grid supply grids, the optimal emergency supply relationship is obtained.

[0054] 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: ; Among them, Y represents the path impact value, K represents the number of power grid supply grids in the set of state opposition grids, represents the stability coefficient of the kth power grid supply grid, It represents the number of power grid supply and demand grids covered on the supply path of the k-th power grid supply grid for the power grid supply and demand grid with an emergency probability. It represents the predicted value of the emergency probability of the r-th power grid supply and demand grid covered on the supply path of the k-th power grid supply network for the power grid supply and demand grid with an emergency probability.

[0055] 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.

[0056] In one case, the redundant output power of the power grid supply grid is used as the first constraint condition, and the minimum input power of the power grid demand grid is used as the second constraint condition. At this time, among the power grid supply grids in the state-opposing grid set, while maintaining the original supply and demand, the redundant electric energy is transmitted to the demand side with an emergency probability, but only the basic electricity consumption needs of the demand side are guaranteed, such as the electricity consumption needs of lighting facilities on the demand side, the heating electricity consumption needs in cold weather, etc. The minimum output power can be calculated according to the maximum electricity consumption base demand in the historical emergency state to ensure the basic electricity consumption in the emergency state.

[0057] 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 and demand grids further includes: Obtain the Pinggu regulation amount according to the emergency supply relationship, establish the Pinggu supply relationship based on the minimum fluctuation according to the Pinggu regulation amount and the flexible load ratio, and perform power grid regulation according to the Pinggu supply relationship.

[0058] At this time, only the minimum output power of the power grid demand grid is used as the constraint condition for the minimum path impact. Calculate the reduction in the electric energy input required for the power grid demand grid in the Pinggu state (without an emergency probability) according to the emergency supply relationship. Thus, with the minimum fluctuation as the optimization objective function, reduce the electric energy supply of the corresponding power grid demand grid according to the flexible load ratio of different power grid demand grids, and ensure the minimum power grid fluctuation during the adjustment process to avoid excessive regulation impact on the power grid demand grids in the Pinggu area, so as to ensure the power supply demand in the emergency area as much as possible within the largest possible range, and supply power to the emergency area with the supply plan having the minimum path impact as much as possible to avoid secondary power outages in the emergency area.

[0059] 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 and demand grids includes: Obtain the state-opposing grid set according to the state-opposing relationship, and construct a two-layer objective optimization function with the minimum path impact and the minimum fluctuation; Obtain the overall regulation strategy according to the stability degree of the power grid supply grids and the flexible load ratio of the power grid demand grids in the state-opposing grid set according to the two-layer objective optimization function, and perform power grid regulation according to the overall regulation strategy.

[0060] In this embodiment, a two-layer objective optimization function is constructed with the minimum path impact and the minimum fluctuation. The stability degree of the power grid supply grid and the proportion of flexible load in the power grid demand grid in the state opposition grid set are used as inputs, and an overall regulation strategy is output that can ensure the normal power consumption of demand units in the flat valley area and the basic power consumption of demand units in the emergency area.

[0061] Constructing a two-layer objective optimization function with the minimum path impact and the minimum fluctuation is as follows: ; ; Among them, represents the number of power grid supply grids obtained according to the minimum path impact; represents an exponential function. When is satisfied, the output is 1. When is not satisfied, the output is 0. represents the redundant output power of the kth power grid supply grid, represents the total flexible load power in the power grid demand grid corresponding to the kth power grid supply grid, represents the output power that the kth power grid supply grid needs to output to the power grid demand grid with an emergency probability.

[0062] At this time, when all flexible loads are turned off and the redundant output power of the power grid supply grid still does not meet the emergency demand, it is necessary to adjust the power supply relationship of the power grid demand grid in the flat valley area, that is, power grid fluctuations will occur. 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 consumption demand on the demand side in the flat valley state and the power consumption demand on the demand side in the emergency state.

[0063] As the second embodiment of the present application, a power grid regulation system based on the combination of normal and emergency uses includes: A grid layout unit for constructing a power grid supply and demand grid according to supply-side structure data and demand-side structure data; A probability calculation unit for obtaining the overall flat valley probability and emergency impact factor of each power grid supply and demand grid according to the regional historical state data; An opposition analysis unit for constructing a state opposition relationship of the power grid supply and demand grid according to the opposition relationship of the emergency impact factor and the overall flat valley probability; A strategy output unit for outputting an emergency probability prediction value according to the emergency impact 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 and demand grid.

[0064] 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 policy output unit is connected to the power grid control end, the opposition analysis unit, and the probability calculation unit.

[0065] In some cases, the probability calculation unit is used to construct an emergency probability model based on the grid supply-demand grid according to the regional historical state data and the historical environmental data, and learn the influence of different environmental characteristics on the state of different grid supply-demand grids according to the neural network model, so as to obtain the corresponding emergency influence factors and the weights of the emergency influence factors, which are used as the basis for predicting the emergency probability of the grid supply-demand grid in the future time series.

[0066] As Embodiment 3 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 peacetime 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 containing 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.

[0067] The above-mentioned specific implementation manners are the preferred implementation manners of the power grid regulation method and system based on dual use of peacetime 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 control method based on both normal and emergency modes, characterized by: The steps include: Construct a power grid supply and demand grid based on supply-side structural data and demand-side structural data; Based on the regional historical status data, the overall flat-valley probability and emergency impact factors of each power grid supply and demand grid are obtained; Based on the opposition relationship of emergency impact factors and the overall flat and valley probability, the state opposition relationship of the power supply and demand grid is constructed; Obtain emergency impact factors within a preset time series, and obtain emergency probability prediction values ​​of each power grid supply and demand grid according to the emergency impact factors within the preset time series; Grid control is performed based on the emergency probability prediction value and the state opposition relationship between the grid supply and demand grids.

2. The grid control method based on both normal and emergency operation as claimed in claim 1, characterized in that: The construction of a power supply and demand grid based on supply-side structural data and demand-side structural data includes: Constructing a power grid supply grid based on the scope of each power supply site on the supply side; Building a power grid demand grid based on the consistency of demand-side input; A power grid supply and demand grid is constructed using a power grid supply grid and a power grid demand grid.

3. The grid control method based on both normal and emergency operation as claimed in claim 2, characterized in that: The construction of a power grid supply grid based on the range of each power supply site on the supply side includes: Obtaining the initial grid size based on the range of each power supply site on the supply side; Obtain compensation scope based on the relationship between each power supply site type and environmental impact; The power grid supply grid is constructed according to the initial grid size and compensation scope.

4. The grid control method based on both normal and emergency functions as claimed in claim 1, characterized in that: The method of obtaining the overall flat-valley probability and emergency impact factor of each power grid supply and demand grid based on regional historical status data includes: Obtain the duration of the flat and valley states and the duration of the emergency state of each power grid supply and demand grid based on the regional historical status data; The overall flat valley probability is obtained based on the proportion of the flat valley state duration in the entire historical time series; The emergency impact factors of each power grid supply and demand grid are obtained based on the differences between the flat and valley states and the emergency states in the regional historical state data.

5. The grid control method based on both normal and emergency functions as claimed in claim 1 is characterized by: The state opposition relationship of the power supply and demand grid constructed based on the opposition relationship of emergency impact factors and the overall flat and valley probability includes: Obtain the emergency impact factors of each power grid supply and demand grid, and construct the opposition relationship of emergency impact factors according to the temporal staggered nature of the emergency impact factors and the opposition of the existence causes; The opposition relationship between emergency influencing factors and the overall flat-valley probability are combined to obtain the state opposition relationship ranking of the power grid supply and demand grid.

6. The grid control method based on both normal and emergency functions as claimed in claim 1, characterized in that: The step of obtaining the emergency impact factor within a preset time sequence and obtaining the emergency probability prediction value of each power grid supply and demand grid according to the emergency impact factor within the preset time sequence includes: Acquire environmental data of a preset time series, and match emergency impact factors and emergency impact factor weights within a preset time series of each power grid supply and demand grid according to the environmental data of the preset time series; Calculate the emergency impact coefficient according to the emergency impact factors and emergency impact factor weights within the preset time sequence; The emergency probability prediction value is output according to the emergency state proportion of the emergency impact coefficient in the same historical time series.

7. The grid control method based on both normal and emergency functions according to claim 1, characterized in that: The performing of grid control based on the emergency probability prediction value and the state opposition relationship between the grid supply and demand grids includes: Based on the emergency probability prediction value of each power grid supply and demand grid, the corresponding state opposition relationship is retrieved; According to the state opposition relationship, the emergency supply relationship of each power grid supply and demand grid is established, and the flat-valley supply relationship is adjusted based on the emergency supply relationship to implement the flat-valley and emergency dual-use regulation of the power grid.

8. The grid control method based on both normal and emergency operation as claimed in claim 2, characterized in that: The performing of grid control based on the emergency probability prediction value and the state opposition relationship between the grid supply and demand grids includes: According to the state opposition relationship, the state-opposing grid set is obtained, and the supply control amount is allocated according to the stability of the power grid supply grid in the state-opposing grid set based on the minimum path impact, so as to establish the emergency supply relationship of each power grid supply and demand grid, and perform power grid control with the emergency supply relationship.

9. The grid control method based on both normal and emergency operation as claimed in claim 8, characterized in that: The performing of grid control based on the emergency probability prediction value and the state opposition relationship of the grid supply and demand grid also includes: The valley-level control quantity is obtained according to the emergency supply relationship, and the valley-level supply relationship is established based on the minimum fluctuation according to the valley-level control quantity and the proportion of flexible load, and the power grid control is performed according to the valley-level supply relationship.

10. A power grid control system based on both normal and emergency functions, used to implement the method described in any one of claims 1 to 9, characterized in that include: A grid layout unit, used to construct a power grid supply and demand grid according to supply-side structural data and demand-side structural data; A probability calculation unit is used to obtain the overall flat-valley probability and emergency impact factor of each power grid supply and demand grid based on the regional historical status data; The opposition analysis unit is used to construct the state opposition relationship of the power supply and demand grid according to the opposition relationship of the emergency influencing factors and the overall flat and valley probability; The strategy output unit is used to output the emergency probability prediction value according to the emergency influencing factor, and output the power grid control strategy according to the emergency probability prediction value and the state opposition relationship of the power grid supply and demand grid.

11. A computer-readable storage medium, characterized in that: The storage medium stores a computer program or instruction, and when the computer program or instruction is executed by a processing device, the method according to any one of claims 1 to 9 is implemented.

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