127 results about "Electrical distance" patented technology

The invention discloses a distribution network multi-source roof photovoltaic cluster collaborative aggregation regulation and control method, and belongs to the technical field of distribution network large-scale roof photovoltaic aggregation upgrading consumption, and the method comprises the following steps: collecting a power distribution network topological structure and line impedance parameters in real time, calculating the electrical distance modularity between nodes, and calculating the electrical distance modularity between the nodes; taking the reactive voltage sensitivity as a clustering core index, dividing the power distribution network into a plurality of photovoltaic clusters, selecting a node with the highest comprehensive sensitivity as a dominant node for each cluster, and establishing an inter-cluster reactive voltage sensitivity relation matrix; multi-stage collaborative optimization regulation and control are carried out, day-ahead, intra-day and real-time three-stage optimization models are constructed, and a cluster-stage optimization model is established by taking the minimum voltage deviation as a target; and carrying out multi-agent cooperative voltage regulation and strategy verification and updating. According to the method, the power grid topology is collected, node impedance is calculated, clustering is carried out through reactive sensitivity, a target function is solved through day-ahead optimization, intra-day voltage out-of-limit correction is carried out, margins are distributed in real time, and the technical problem of slow voltage regulation response is solved.

The invention discloses a power distribution network cluster local control method and device, equipment and a medium. The method adopts a cloud edge end three-level collaborative architecture, and comprises the following steps: acquiring electrical parameters through a terminal equipment layer; constructing a graph model based on an electrical distance at the edge calculation layer; performing initial cluster division and issuing on the cloud computing layer; dynamically optimizing cluster division in an edge calculation layer through a lightweight deep reinforcement learning model; local control strategies such as voltage reactive power cooperative control, frequency active power balance control and fault rapid isolation and self-healing are executed based on the final division. The system comprises a terminal device layer, an edge computing layer and a cloud computing layer. According to the method, decoupling of global optimization and local real-time control is realized through cloud-side cooperation, the problems of high data processing pressure, high communication delay, expanded local fault influence range and the like of centralized control are effectively solved, and the real-time performance, reliability and disaster resistance of the power distribution network are remarkably improved.

The invention relates to the technical field of electric power, and particularly discloses a power distribution branch box monitoring system and method based on a fault indicator, which can compensate for short-time limitation of real-time data by performing compensation and correction through historical load data and operation instruction information, so that a dynamic topological structure diagram at a first moment is more fit with an actual power grid operation state, and the power distribution branch box monitoring accuracy is improved. It is guaranteed that the topological structure of the dynamic topological structure diagram is dynamically updated along with changes of a power grid, the corrected dynamic topological structure diagram can accurately reflect the real connection relation and the electrical distance of the branch box, the quantization result of the branch correlation degree matrix is made to be more suitable for the correlation degree of the actual power grid, and therefore the reliability of the branch correlation degree matrix is improved through dynamic construction logic of the dynamic topological structure diagram. The method can adapt to the dynamic change process of the topological graph of the power distribution network, achieves the effect of dynamically monitoring the fault of the power distribution branch box, and achieves the purpose of reducing the false alarm rate.

The invention provides a Prony algorithm-based cable segment wave velocity acquisition method, device and system, and a medium, and the method comprises the steps: testing a to-be-tested cable, and obtaining a cable signal transfer function; on the basis of the cable signal transfer function, in combination with cable joint distribution, constructing a cable signal approximation function based on a Prony method; constructing a linear prediction model of the cable signal based on the cable signal approximation function; performing denoising processing on the linear prediction model based on a singular value decomposition method to obtain a denoised linear prediction model; solving the denoised linear prediction model to obtain an attenuation coefficient; and calculating the segmented wave velocity of the cable based on the attenuation coefficient. According to the method, the Prony estimation method is combined with the singular value decomposition noise reduction algorithm, high-precision extraction of attenuation constants and segmented wave velocity decoupling are achieved, and then the electrical distance positioning precision is improved.

The invention belongs to the technical field of distributed photovoltaic power prediction and power distribution network operation, and discloses a distributed photovoltaic power ultra-short-term prediction method based on multi-source data fusion. The method comprises the following steps: collecting and aligning historical power and electric parameters of a photovoltaic station, meteorological monitoring, short-term and imminent forecasting, voltage of a power distribution network, power flow and states of a voltage regulating device under a unified time dimension; based on a photovoltaic output mechanism model and a linearized power flow sensitivity model or an equivalent electrical distance model, constructing a power constraint interval and a baseline power track which meet voltage and line thermal stability constraints; and through residual normalization, weighted adjacent matrix and space-time recursion prediction model modeling and prediction of a multi-station residual field, parameter increment is updated in combination with a data quality index and an error threshold, and distributed photovoltaic cluster ultra-short-term power prediction giving consideration to power distribution network security constraints and data quality is realized.

The invention provides a power distribution network partitioning method and device, equipment and a storage medium. The method comprises the steps that firstly, a node voltage-reactive power sensitivity matrix and historical operation data of a distributed power supply are obtained, the structural distance between nodes is calculated, the historical data are normalized, the attribute similarity is obtained in combination with an attribute weight matrix, and the two are added to generate an electrical distance. Resolution parameters are dynamically adjusted according to reverse power flow intensity, and the parameters are increased when the power flow is enhanced to refine clusters. According to the method, the limitation that traditional partition depends on geographical proximity or simple parameters is broken through, accurate partition is achieved by quantifying electrical coupling and resource characteristics, the problem of poor connection in the cluster is solved, the on-site consumption capacity of new energy is effectively improved, the transmission pressure of a main network is reduced, and the method is suitable for large-scale popularization and application. And meanwhile, the fault recovery capability and the calculation efficiency of the power grid are enhanced, and the method is suitable for district power balance optimization in a high-permeability distributed power supply access scene.

The invention relates to the technical field of electric power Internet of Things, in particular to a time-space hierarchical data compression method and system for multi-source heterogeneous data on a power distribution network side, and the method comprises the following steps: S1, carrying out the classification and lightweight compression processing of original data, and outputting intermediate data with a priority identifier; s2, based on the intermediate data obtained in the step S1, a gateway layer carries out topological grouping according to the electrical distance, and then carries out time alignment and weighted fusion on the data in the group to generate a fusion data packet; and S3, based on the fusion data packet obtained in the step S2, the cloud platform performs panoramic insight and value evaluation, generates and dynamically issues an optimization strategy instruction, and the strategy instruction is dynamically issued back to the edge layer and the gateway layer through a control channel. According to the method, the real-time advantage of edge calculation and the big data processing capability of a cloud platform can be fully exerted, modules of all levels work cooperatively, a set of complete power distribution network multi-source heterogeneous data processing solution is formed, and the overall efficiency of the system can be effectively improved.

The application relates to the technical field of power distribution networks of power systems, and discloses a fault post-recovery control method for a power distribution network containing flexible soft switches, which comprises the following steps: after a fault occurs, the original main station converter is exited, the active power, the reactive power and the rated capacity of the remaining converters are collected to calculate the dynamic capacity margin, the electrical distance from each converter node to the load center of the system is calculated, the comprehensive score is obtained based on the capacity margin and the electrical distance weighting, the converter with the highest comprehensive score and the capacity margin greater than the preset threshold is selected as the new main station, and the control mode of the new main station is switched; the main station selection mechanism based on the comprehensive evaluation of the dynamic capacity margin and the electrical distance is used to quickly establish a stable voltage frequency reference for the power failure area, the load shedding penalty sub-target and the load hierarchical and phased recovery strategy are used to preferentially guarantee uninterrupted power supply for the first important load under the condition that the transfer supply capacity is limited, and the influence of power failure on sensitive users is effectively reduced.

The invention provides a dynamic grouping method and device for a heterogeneous direct current delivery system, and relates to the technical field of dynamic analysis and control of a power system, and the method comprises the steps: deducing a linear time-varying variation equation which is satisfied by the trajectory sensitivity of a system state trajectory to a system parameter vector based on a parameterized differential-algebraic equation model; calculating the track sensitivity of each device to a system parameter vector, projecting the track sensitivity to a common connection point corresponding to each device, and constructing a unified sensitivity feature vector of each device; calculating the dynamic similarity between the devices based on the unified sensitivity feature vector, and constructing a mixed similarity matrix in combination with the electrical distance similarity between the devices; and feature decomposition and feature vector clustering are carried out based on the mixed similarity matrix, and dynamic clustering of heterogeneous equipment is realized. According to the dynamic grouping method provided by the invention, unified grouping of heterogeneous equipment such as a synchronous machine and a converter can be realized in a heterogeneous power system containing high-proportion new energy and direct-current power transmission.

The application is suitable for the field of power demand analysis, and provides a power transaction matching recommendation method and system method facing user demand, which comprises the following steps: obtaining user power consumption data, generating a resonance group and a characteristic package with similar power consumption modes and risk tolerance; combining the resonance group characteristics with real-time market data to generate a power consumption comprehensive bidding plan; performing transaction matching based on the bidding plan, preferentially selecting the power generation resources closest in electrical distance, introducing a green energy premium coefficient, and outputting a transaction result; performing portfolio optimization analysis according to the transaction result, and generating a customized power package containing traditional energy, new energy and energy storage in combination with user risk preferences. Through multi-dimensional data integration and intelligent algorithm application, the application realizes accurate matching of power generation resources and user demand, improves power transaction efficiency and user satisfaction, and promotes new energy consumption and sustainable development of the power market.

The invention provides a flexible power distribution network interconnection device locating and sizing method and system, and belongs to the technical field of flexible power distribution networks. The method comprises the following steps: acquiring cross-court power mutual aid potential and an electrical distance between power distribution network nodes to generate a power distribution network node incidence matrix; carrying out relevance enhancement on the preliminary SOP site selection scheme based on a power distribution network node relevance matrix; a binary particle swarm optimization algorithm is adopted, an optimal SOP site selection scheme and a final power distribution network node incidence matrix are determined by enhancing the SOP site selection scheme, and the minimum mutual aid capacity which needs to be met by each SOP is calculated; and by taking the minimum mutual aid capacity as a constraint, constructing and solving a capacity optimization model taking the minimum full life cycle cost as a target, and outputting an optimal SOP constant volume scheme. According to the method, the long-term load balancing capability of the power distribution network and the cross-court flexible resource mutual aid efficiency are improved, and the intelligent level and the calculation efficiency of the optimization process are improved.

The invention relates to the technical field of distributed energy storage coordinated regulation and control, and discloses an inter-station coordinated regulation and control method for a shared energy storage power station, which comprises the following steps of: monitoring a power grid crisis signal in parallel, calculating a statistical index of an energy storage cluster charge state, and executing two mutually exclusive regulation and control rules according to the crisis signal, maintaining cluster state balance according to statistical indexes; according to the invention, by establishing the dual-mode switching mechanism, the internal scheduling conflict between two tasks of maintaining the internal long-term health and responding to the external sudden impact of the energy storage cluster is solved; the cluster gives consideration to the active maintenance and emergency support capability of system toughness, and the overall safety and stability of a power grid are improved.

The invention discloses a power distribution network dynamic partitioning method based on a composite electrical distance. The method comprises the steps that the composite electrical distance between each pair of buses in a power distribution network is calculated; constructing an affinity matrix according to the composite electrical distance, and constructing an undirected weighted graph based on the affinity matrix; calculating a Laplacian matrix for the undirected weighted graph to obtain a preliminary partition of the power distribution network; a mixed integer linear programming method is adopted to optimize the preliminary partitioning result, it is ensured that each sub-region meets set constraints, and optimized partitions are output; topological change of a power distribution network and output fluctuation of a distributed power supply are monitored in real time, and when the change exceeds a preset threshold value, a dynamic adjustment mechanism is triggered, and a partition adjustment strategy is executed. According to the method, on the basis of comprehensively describing the electrical similarity of the bus, the engineering feasibility and the running state adaptability of the partitioning result can be realized by combining constraint optimization and a dynamic adjustment mechanism.

The invention provides a manual segmentation and reconnection device and method for a reconstruction and extension stage of a suspension type tubular busbar. The manual segmentation and reconnection device comprises a suspension assembly, a segmentation assembly and a reconnection assembly, wherein the suspension assembly comprises a tubular busbar suspension arm suspended below a cross beam, a wire hanging fitting and a suspension wire clamp; the segmentation assembly comprises two metal end sealing balls installed at the end of the segmented tubular bus, the minimum distance between the two balls is larger than the relative electrical distance of the rated voltage of the bus, and it is guaranteed that one section of bus runs, the other section of bus is reliably and safely grounded, and connected electrical equipment works safely; the reconnection assembly comprises two jumper wire devices arranged at the end part of the segmented tubular bus, and a jumper wire is connected between the jumper wire devices; and long-term operation of the reconnected tubular bus is ensured. Manual segmentation of the tubular bus is realized so as to realize finer-grained power failure operation of a power grid, and influence of reconstruction and expansion on operation of the power grid is reduced.

The utility model discloses an insulation fitting that can increase the electrical distance between elements belongs to insulation fitting technical field, including metal panel, the top fixed mounting of metal panel has several groups riveting pressure nut, several groups riveting pressure nut all are penetrated to metal panel bottom, and riveting pressure nut fixedly connected with connector socket, the fixed mounting of connector socket has electrified metal, passes electrified metal with cylinder no.

Wideband antenna elements exhibit strong coupling when formed into an array, which normally degrades the impedance bandwidth, radiation pattern, and efficiency of the feed antennas. Various methods are provided herein to mitigate or reduce this coupling. For example, designing an array such that not all antennas support the lower frequency operation mitigates coupling at low frequencies where coupling is most significant. Alternatively, embedding the feeds into a high-refractive-index medium increases the electrical distance between feeds while the physical separation is kept constant.

The application provides a kind of power distribution network adaptive voltage control method and device based on deep learning, it is related to power distribution network voltage control technical field, method includes: obtaining the operation data of power distribution network respectively calculates voltage synchronization matrix, electrical distance matrix and control influence domain matrix, to construct the electrical coupling structure of power distribution network node;Calling LSTNet model is adaptively decomposed to operation data, and the short-term disturbance component, periodic fluctuation component and trend component obtained by mapping processing to the electrical coupling structure of decomposition, obtain the voltage sensitivity matrix based on time sequence;And the sensitivity of representation is fused according to time sequence, to obtain the final voltage control amount under the candidate voltage regulation control amount of whole network in power distribution network, to generate.The application is used to solve the problem that the voltage coupling relationship constructed when controlling power distribution network is difficult to describe the dynamic correlation between power distribution network nodes, and the adjustment effect of control strategy exists lag or over-regulation.

This invention provides a distribution network topology identification method based on single-moment steady-state measurements, relating to the fields of distribution automation and power system operation analysis. This invention utilizes only node voltage amplitudes and active power as input sequences, and through a unified lengthening and masking mechanism, normalizes topologies of different node sizes into a consistent structure, ensuring that the model propagates effective information only between real nodes. Employing a Transformer network with position encoding, it automatically learns electrical coupling relationships from node voltage and power distributions through a multi-head self-attention mechanism, extracting global structural features that distinguish different topologies without explicitly constructing impedance or electrical distance matrices. This method achieves rapid identification of distribution network topologies of different sizes under single-moment steady-state measurement conditions and can be widely applied to scenarios such as distribution network operation mode judgment, state estimation, and operation optimization.

The invention provides a network construction energy storage adaptive control method and device based on electrical distance perception and improved virtual impedance, and the method comprises the steps: enabling the virtual inertia and damping coefficient of the energy storage of a network construction VSG to be adaptively adjusted in real time along with the electrical distance of a key node of a micro-grid through an electrical distance dynamic perception mechanism; the response capability of the system to the network topology and the operation state change is enhanced; a frequency differential feedforward link is added to a VSG active control loop, the frequency change rate is compensated in advance, the dynamic response speed to load disturbance or new energy output fluctuation is increased, and frequency deviation is suppressed; a dynamic self-adaptive virtual impedance adjusting strategy is designed in combination with real-time power deviation, the active and reactive power distribution precision among multi-VSG energy storage is optimized, and the circulating current influence is reduced. According to the method, the frequency stability of the micro-grid, the power distribution rationality between VSG energy storage and the operation robustness can be remarkably improved, and the method is suitable for a multi-VSG energy storage access micro-grid scene with high-proportion new energy access and topology dynamic change.

This invention relates to the field of power grid sensitive node identification technology, and discloses a method, system, device, and medium for identifying sensitive nodes in distribution networks based on sensitivity thresholds and topological electrical characteristics. The method includes: constructing a distribution network simulation model, performing power flow calculations, and obtaining a reactive power sensitivity matrix; performing a dual-threshold initial screening on the reactive power sensitivity matrix to obtain a theoretical set of sensitive nodes, and performing a second screening based on topology and electrical characteristics to obtain a final set of sensitive nodes; performing reactive power compensation and control simulation on the final set of sensitive nodes to verify the voltage optimization effect. This invention identifies high-impact nodes from a sensitivity perspective, and then uses degree centrality and electrical distance to exclude terminal and isolated nodes, ensuring that the selected points simultaneously possess strong control capabilities and feasibility; after configuring reactive power compensation at sensitive nodes, it can improve the overall network voltage qualification rate, reduce voltage deviation, and reduce network losses, and effectively suppress overvoltage problems caused by high-penetration distributed power sources.

The invention discloses a transformer substation division method and device based on a BIM model and a medium, and belongs to the technical field of building electrical design. And the technical problems of insufficient load abstraction accuracy, unscientific electrical distance calculation, lack of algorithm support and rule constraint in the division process, lack of data linkage and indefinite classification logic also exist. The method comprises the following steps: based on a BIM model, reading basic information related to building arrangement of a transformer substation; performing multi-level load processing on the transformer substation to obtain transformer substation load position information; carrying out distance calculation processing on the electric flat cable under related horizontal distance and vertical distance to obtain real gas distance information; carrying out transformer substation distribution calculation under the common transformer division type and the special transformer division type on the transformer substations to obtain a transformer substation distribution scheme; and carrying out dynamic updating processing on the transformer substation load position information, the real gas distance information and the transformer substation distribution scheme to obtain a transformer substation division strategy.

The invention provides a splitting section self-adaptive identification method and system for a high-proportion new energy power grid, and belongs to the technical field of power grid splitting protection. Comprising the following steps: determining a first-level section from a power grid according to a coherence constraint condition; secondary sections are screened through instability comprehensive index sorting in combination with subsystem operation constraint conditions; aiming at the primary section and the secondary section, respectively positioning the line protection devices closest to the respective electrical distances according to a priority sequence, and determining the sending time of an unlocking signal through real-time monitoring; and after the unlocking signal is sent out, delay timing is started, and a corresponding line protection device is controlled to execute a splitting action. On the basis of ensuring that the power failure area is as small as possible, rapid splitting can be ensured to isolate the fault.

This application relates to the field of power system maintenance optimization technology, and in particular to a method for rapidly generating power system maintenance plans. The method includes: first, collecting data on power grid topology, operation, maintenance requirements, and resource constraints to construct a topology model; then, calculating electrical distances based on node impedance matrices and performing clustering to obtain initial partitions. Next, optimizing the initial partitions using tie-line transmission power merging to determine sub-regions and cross-regional equipment lists. Maintenance tasks are allocated to each sub-region according to equipment location, and computing nodes are assigned to load data in parallel to generate a preliminary plan. A model is constructed based on operation and resource constraints, and cross-regional conflicts are identified and resolved according to the cross-regional list to form an integrated plan. Finally, the target plan is output after verification by the topology and constraint model. This application achieves rapid generation of large-scale power grid maintenance plans through adaptive partitioning, parallel solving, and conflict resolution.

The invention discloses a power distribution network dynamic partitioning method and system fusing electrical distance and adjustment capability, and belongs to the technical field of power distribution network partitioning control. According to the method, a comprehensive similarity matrix is formed through weighted fusion, and the similarity between the electrical coupling strength between nodes and the resource regulation capability is considered in the partitioning process, so that the partitioned control region has sufficient power fluctuation stabilizing capability; by adopting an AP clustering algorithm and combining with preference parameters oriented by the adjustment capability, a node with strong adjustment capability can be preferentially selected as a clustering center, and each partition is ensured to have core regulation resources; by monitoring the negative standby margin and the positive standby margin of each partition on line, when the margins do not meet the threshold value, the adjustment of the weight coefficient and the preference parameter is automatically triggered, and a fusion similarity matrix and partition scheme is regenerated, so that the dynamic scenes such as photovoltaic output fluctuation, electric vehicle charging and discharging load peak and valley change and energy storage SOC dynamic change can be adapted in real time; and the partition structure is always matched with the real-time running state of the power distribution network.

The application discloses a three-phase unbalanced power distribution network fast partitioning method based on electrical coupling strength, comprising: data preprocessing of obtained power distribution network related data, construction of power distribution network electrical data set; definition of electrical distance adjustment parameter, calculation of three-phase comprehensive electrical distance between nodes; conversion of three-phase comprehensive electrical distance between nodes into connection weight between nodes, construction of weighted undirected graph model reflecting electrical coupling strength; generation of initial partition by using modularity optimized greedy community discovery algorithm, output of high cohesion initial partition set; construction of merging evaluation function fusing both; iterative execution of area merging, output of final partition result. The application quantifies real electrical correlation between nodes accurately, realizes collaborative optimization of electrical cohesion and balance of sub-region scale, guarantees high efficiency and stability of partition calculation, and provides reliable partition support for power distribution network parallel computing, distributed control and fault self-healing scenes.

The application relates to the technical field of electric power, and particularly discloses a power distribution branch box monitoring system and method based on a fault indicator, which can compensate and correct through historical load data and operation instruction information, can make up for the short-time limitation of real-time data, can make the dynamic topology structure diagram at the first moment more conform to the actual power grid operation state, can guarantee that the topology structure of the dynamic topology structure diagram is dynamically updated with the change of the power grid, the corrected dynamic topology diagram can accurately reflect the real connection relationship and electrical distance of the branch box, the quantization result of the branch correlation matrix is more conform to the correlation degree of the actual power grid, and through the dynamic construction logic of the dynamic topology structure diagram, the dynamic change process of the power distribution network topology diagram can be adapted, the effect of dynamically monitoring the fault of the power distribution branch box is achieved, and the purpose of reducing the false alarm rate is achieved.

The application provides a configuration method of a distributed energy storage power station and an electronic device, and relates to the technical field of power system planning and distribution network operation optimization. The method comprises the following steps: based on a preset topological constraint condition, calculating a target similarity between two nodes in a distribution network topological structure according to an electrical distance, a topological distance and a load distance between the two nodes, and obtaining a target similarity matrix; according to the target similarity matrix and a weighted degree matrix, partitioning the nodes by a preset number; for each node in a plurality of candidate nodes in each partition, determining a target node for configuring the energy storage power station from the candidate nodes according to a site selection score of each candidate node, which is calculated according to an electrical distance between each candidate node and other candidate nodes, a topological distance and a load proportion of each candidate node; and based on a preset energy storage capacity of each partition and a capacity allocation priority of each target node, determining an energy storage capacity and an energy storage power of each target node.

The method and system for dividing scenes of direct current distribution network based on multi-index coupling first extract the voltage amplitude, injected active power, voltage ripple ratio and voltage fluctuation of each node, calculate the comprehensive index and classify the nodes; then obtain the electrical distance between nodes based on the similarity of the comprehensive index, and calculate the dynamic equivalent electrical distance between the power supply node and the adjacent load node; the load nodes meeting the electrical distance condition are preferentially clustered, and the remaining nodes complete secondary clustering with other power supply nodes to form clusters consistent with the number of power supply nodes. Finally, compare the electrical distance in the cluster with the threshold value to complete the division of typical operation scenes. The application can accurately identify the typical scenes in the direct current distribution network, and make up for the shortcomings of the traditional method, such as lack of dynamic adaptability, difficulty in reflecting the difference of power quality and unclear characteristics of different operation modes, so as to improve the scientificity, operation efficiency and safety of system scheduling.

The invention provides a power distribution network partitioning method which can be applied to the technical field of power systems. The power distribution network partitioning method comprises the steps of determining an electrical center node of a power distribution network according to electrical distances among a plurality of nodes in the power distribution network; according to the electrical distance between the electrical center node and other nodes and the electrical distance between a non-electrical center node in the plurality of nodes and other nodes, determining the selection probability of the non-electrical center node as a new center node; determining a target center node from the plurality of non-electrical center nodes according to the selection probability; and based on a target function, dividing non-target center nodes in the plurality of nodes according to the target center node to obtain a target partition of the power distribution network, the target function being used for evaluating the comprehensive performance of the target partition.

The application discloses a power grid frequency safety optimization method, device, equipment and medium. By quantifying physical inertia and virtual inertia uniformly and realizing dynamic partitioning based on electrical distance, accurate identification and quantitative evaluation of inertia void in the power grid are realized. Further, the minimum inertia demand of the partition is introduced into the power market clearing model as a rigid safety constraint, allowing new energy to participate in market bidding as a virtual inertia service provider, and through the optimization of joint decision of power and inertia resources, the resource allocation scheme with the lowest total social cost is automatically generated on the premise of ensuring frequency safety, realizing the coordinated optimization of safety and economy. Finally, the marginal price of inertia resources is extracted from the optimization model, and a node inertia scarcity index is further constructed, which is converted into an intuitive economic signal and frequency safety warning, thereby systematically improving the stability and power supply reliability of power grid operation.