449 results about "Line current" patented technology

The invention discloses a game reinforcement learning-based reactive power dispatching method for an electric vehicle to participate in a power distribution network, and the method comprises the steps: collecting node voltage, line current, electric vehicle charging and discharging states and topological information, and constructing graph attention embedding; generating an initial reactive power regulation action in the multi-agent game reinforcement learning framework, and shaping and updating a strategy gradient through double rewards; the improved particle swarm is initialized according to the updating strategy gradient, and a self-adaptive inertia coefficient is set; iteratively searching according to the node voltage sensitivity, the line reactive margin and the expected convergence step number to obtain an optimized particle swarm; the particle speed is mapped to a main strategy network through online cooperative training, the inertia coefficient is synchronously adjusted, a cooperative optimization strategy is output, a reactive power dispatching instruction is generated, and the algorithm is updated in a closed-loop mode according to real-time feedback. According to the invention, rapid and cooperative reactive dynamic scheduling of an electric vehicle group is realized, and the voltage stability and the electric energy quality are remarkably improved.

The invention discloses a new energy station harmonic emission level evaluation method and system based on recording data, and the method comprises the steps: carrying out the wavelet threshold de-noising processing of the recording data of line current and bus voltage in a power grid, and then carrying out the Fourier analysis, and obtaining the amplitude and phase angle of each harmonic current and voltage; on the basis of the amplitude and phase angle of each harmonic current and voltage, the harmonic order to be analyzed is determined through the harmonic voltage content rate and the harmonic distortion rate, an abnormal bus is screened as a concerned bus, and suspicious harmonic source users in the power grid are identified; establishing an equivalent model of the power grid, and solving harmonic transfer impedance between each suspicious harmonic source user and the concerned bus in the equivalent model by using a blind source separation algorithm; and quantifying the harmonic responsibility of each suspicious harmonic source user to the concerned bus. According to the invention, the accuracy of harmonic evaluation and the accuracy of tracing are improved, and the improvement of the electric energy quality of a new energy station and the stable operation of a power grid are facilitated.

The invention discloses an electricity meter terminal temperature anomaly identification method, system and device and a storage medium, and relates to the technical field of intelligent electricity meter monitoring and anomaly detection.The method comprises the steps that currents of a live line loop and a zero line loop of an intelligent electricity meter are sampled, and the deviation rate of the live line current relative to the zero line current is calculated; estimating the temperature of the terminal of the electric energy meter based on the deviation rate and by using the resistance characteristic metering error change trend of the manganese-copper shunt; and when the terminal temperature estimated value of the electric energy meter exceeds a preset threshold value, determining that the temperature of the live wire terminal is abnormal, and recording an alarm event. The method realizes real-time acquisition of current difference characteristics, provides a reliable data basis for subsequent terminal temperature estimation, realizes a method of indirectly reflecting terminal temperature rise through electrical characteristics, ensures that alarm can be triggered and a complete tracing chain can be formed when temperature abnormity occurs, and improves the accuracy of terminal temperature estimation. Therefore, the controllability of the operation safety of the electric energy meter and the completeness of post analysis are improved.

The invention belongs to the technical field of power system power distribution network relay protection, and provides an active fault property discrimination method based on injection disturbance current response characteristics, which comprises the following steps: step 1, when an inter-phase fault occurs in a system, three-phase tripping of a fault line outlet circuit breaker occurs, and according to three-phase current and voltage change conditions before and after the fault, determining whether the fault occurs or not; determining two phases with increased line current and reduced voltage as fault phases; 2, delaying for 200ms after the circuit breaker trips, and controlling the action of a split-phase switch; according to the method, disturbance current signals are injected through an external power supply, the disturbance signals have obvious difference in response characteristics during permanent faults and instantaneous faults, the reliability and superiority of the method under different working conditions are verified through simulation, the method makes up for the defects of an active injection type method during fault property recognition processing, and the method has the advantages of high reliability and high reliability. The method is not influenced by injection time and fault duration, fault property discrimination can be realized only through one-time injection, and the method is simple in operation, small in calculation amount and high in reliability.

The invention discloses a DC fault arc identification method and device based on a wavelet transform algorithm, and the method comprises the steps: collecting a DC line current signal through a high-bandwidth current sensor, carrying out the digitalization of a signal conditioning circuit and a high-speed ADC, and sequentially carrying out the preprocessing of the elimination of baseline drift through differential filtering and the suppression of specific frequency interference through adaptive notch; performing 3-8-layer multi-scale decomposition on the pure signal by adopting a Daubechies wavelet basis, preferably selecting high-frequency detail coefficients from the first layer to the third layer, and creatively fusing a multi-scale energy entropy representing energy distribution randomness and a time domain kurtosis representing transient impact to form a composite characteristic quantity; a threshold value (threshold value = mean value + adaptive coefficient * standard deviation) is dynamically generated based on sliding time window historical data, the adaptive coefficient is dynamically adjusted according to the load type, the resistive load is 1.8-2.2, and the inductive / capacitive load is 2.5-3.5; and when the composite characteristic quantity exceeds a threshold value and the sample proportion is greater than or equal to 85% within the duration of 0.5-5ms, a tripping execution mechanism is triggered.

The invention provides a power distribution network dynamic network reconstruction method based on constraint enhanced safety reinforcement learning, and the method comprises the steps: describing a DDNR task of a power distribution network as a constraint type Markov decision process (CMDP); then, soft constraints (node voltage and line current constraints) and hard constraints (radial topology constraints) in the DDNR process are processed by adopting an interior point strategy optimization (IPO) algorithm and a mode of adding a safety layer based on a branch switching method respectively; meanwhile, the invention provides a space-time perception neural network model to increase the dynamic space-time change characteristics of the reinforcement learning agent to the power flow of the power distribution network in the DDNR process. The method plays an important role in reducing the energy loss of the power distribution network, optimizing the voltage distribution and increasing the bearing capacity of new energy.

An energy conversion device comprises: an electric motor, an electronic control, a traction battery and a controller. The controller is configured to control all bridge arms corresponding to windings of the electric motor, so that the collaboration of driving and battery self-heating is achieved, and the crest and trough of an actual N line current flowing through an N line of the electric motor to counteract or are superposed with the crest and trough of an actual phase current flowing through each phase of winding of the electric motor, thus reducing or increasing the amplitudes of the actual phase current of each phase of winding at the crest and trough, and thereby providing a greater phase current for the electric motor so as to drive the electric motor. Thus, the torque output by the electric motor is greater.

Accurate real-time monitoring of distribution networks becomes increasingly pivotal to ensure reliable and optimal operation of grid. Existing joint parameter-state estimation techniques predominantly focus on transmission systems, making their applicability to distribution systems challenging due to variations in available input data. Furthermore, the joint estimation techniques significantly suffer from computational complexity. Present disclosure provides a method and a system for personalized multi-subject text to image generation. The system first uses lossy Distflow equations and an inverse Physics-Informed Neural Network (iPINN) architecture for learning network voltage dynamics, drift matrix and network bus voltages from real-time bus power injection data and historical voltage data. Thereafter, the system determines a plurality of line parameters from the learnt drift matrix using a least-square optimization technique. Finally, the system calculates line power flows and line currents using the lossy Distflow equations.

The static synchronous phase modifier comprises a DC / AC converter and a controller, the direct current side of the DC / AC converter is connected with an energy storage unit composed of the hybrid supercapacitor, and the alternating current side of the DC / AC converter is provided with an LC filter circuit; the controller adopts a virtual synchronous machine control technology to control the DC / AC converter, and comprises a power calculation part, an active power control part and a reactive power control part; the power calculation part is used for calculating actual active power and actual reactive power according to the current of the filter inductor, the voltage of the filter capacitor and the line current; the active power control part performs active power control according to the actual active power and the reference active power; the reactive power control part performs reactive power control according to the actual reactive power and the reference reactive power. According to the invention, frequency and voltage support can be provided when a short-circuit fault occurs in the line, frequency collapse is prevented, the low-voltage ride-through success rate of the wind turbine generator is improved, and the grid-connected strength is improved.

The invention discloses a virtual impedance adjustment-based current-limiting control method and system for a network construction converter, and the method comprises the steps: determining a fault transient virtual resistance according to the voltage difference between the terminal voltage of a virtual synchronous machine and the voltage of a grid-connected point in a fault transient state when the system breaks down; in a fault steady state, determining a fault steady state virtual resistance and a fault steady state virtual inductance according to a voltage difference between a terminal voltage of the virtual synchronous machine and a grid-connected point voltage and a current over-limit threshold value of the networking converter; the large value of the fault transient virtual resistance and the fault steady-state virtual resistance is used as the fault virtual resistance, and the fault steady-state virtual inductance is used as the fault virtual inductance; and determining a fault potential difference by using the line current, the fault virtual resistance and the fault virtual inductance, and obtaining a fault current instruction value through a voltage control outer ring according to the difference values of the voltage instruction, the output voltage of the network construction converter and the fault potential difference. The current does not exceed the limit in the fault steady state, and the current impact caused by the superposition of the non-periodic component current and the periodic component current does not exceed the limit in the fault transient state.

The invention provides a power distribution network fault positioning method and device based on an improved edge graph attention mechanism, and the method comprises the steps: obtaining a topological structure of a power distribution network, and determining an adjacent matrix and an admittance matrix of the power distribution network; determining a node feature matrix and an edge feature matrix according to the voltage value and the current value; the power distribution network adjacency matrix, the admittance matrix, the node characteristic matrix and the edge characteristic matrix are input into the fault positioning model, the fault nodes in the power distribution network are output through the model, and the fault position in the power distribution network is determined more accurately. According to the method, for different attribute characteristics of admittance and current membership in power distribution network branch information, admittance information is fused into a node characteristic aggregation process and is embedded into an attention coefficient; according to the method, line current information is directly added to adjacent node features, and edge inherent attribute information is fused into the graph attention neural network, so that fault features can be extracted more accurately, the precision of model positioning is improved, and better robustness is provided for data noise and data missing in practical application.

The invention discloses a DTW algorithm-based distribution line current differential protection method, relates to the technical field of power distribution network relay protection, and aims to solve the problems that the III-section type overcurrent protection performance is reduced and the optical fiber communication cost is high after a distributed power supply is connected. According to the method, a 5G communication technology, a five-point numerical differential algorithm, amplitude limiting average filtering and a DTW similarity distance algorithm are fused, and current differential protection is achieved; the method comprises the steps of collecting three-phase current on two sides of a line in real time, starting a criterion through a fault current change rate, suppressing noise through amplitude-limiting average filtering, and normalizing data; the core is that the current sequence similarity is calculated by using a DTW algorithm, and a fault is accurately judged; according to the method, the influence of 5G communication time delay is eliminated, and the reliability of distribution network protection and control is improved; meanwhile, optical fibers are replaced by 5G, so that the cost is greatly reduced, the economical efficiency of distribution network protection is improved, and popularization and application are facilitated; the innovative technology provides powerful support for intelligent upgrading and sustainable development of a power distribution network.

In one embodiment, a multi-level, bridgeless boost power factor correction (PFC) device, comprising: a circuit comprising an inductor, and at least a first pair and a second pair of switches and a capacitor arranged in a flying capacitor, totem-pole configuration; and a control circuit configured to drive the at least first and second pairs of switches in such a way as to reduce distortion in a line current, wherein for the first and second pairs of switches, the control circuit is configured to: for a first half line cycle, drive a first switch of each pair during an entire interval of the first half-line cycle and a second switch of each pair for less than the entire interval; and for a second half-line cycle, drive the first switch of each pair for less than an entire interval of the second half-line cycle and the second switch of each pair during an entire interval of the second half-line cycle.

The invention discloses a low-voltage distribution area topology identification method, system and device and a storage medium, and the method comprises the following steps: deploying a synchronous measurement unit in a low-voltage distribution area, and obtaining the outgoing line current phasor and voltage phasor data with a synchronous time scale of a whole network; constructing an incoming line and outgoing line current phasor set, and performing adaptive descending sorting according to amplitudes; determining that the nodes corresponding to the incoming line current phasors and the found nodes corresponding to the one or more outgoing line current phasors are in a father-son relationship, and iterating the process until all sets are empty, thereby completing the identification of the topological relationship of the power distribution side; and according to the equipment number contained in the obtained voltage phasor data, determining a meter box connected with the user electricity meters, and then clustering the user electricity meters connected to the same meter box according to the voltage phase angle to obtain the connection phase sequence of each user electricity meter. The problem of key information missing is solved from a data source, and accurate and efficient identification of topology is realized by fusing physical constraints.

The invention discloses a method for monitoring the insulation state of a stator winding of an injection unit based on neutral point harmonic frequency sweeping. The invention provides an active online monitoring method based on harmonic injection for stator winding insulation of a full-power variable-speed pumped storage unit. A common-mode loop is constructed for a motor stator winding of a network side transformer neutral point ungrounded system through a motor neutral point grounded transformer, and therefore online monitoring of the insulation state of a motor stator is achieved. In order to solve the measurement problem of the full-power variable-speed pumped storage unit under the large-current working condition, a neutral point outgoing line current detection technology is adopted. A machine end large current interference area is avoided, monitoring is carried out on the primary side of the grounding transformer, transmission errors are avoided, and the measurement precision and reliability of insulation monitoring signals are remarkably improved. According to the invention, harmonic injection is carried out by avoiding an inherent common-mode component of a unit, a monitorable leakage current signal is enhanced, and the accuracy of insulation equivalent capacitance calculation is ensured.

The invention relates to the technical field of electric power operation and maintenance, and particularly discloses a middle and low voltage distribution network fault online detection method based on cross wavelet coherence analysis, which comprises the following steps: carrying out cross wavelet coherence analysis on zero-sequence current of all lines, finding out a common high-energy frequency band, and selecting the line current with the highest energy as a detection object; monitoring the selected current sequence by using a sliding window method, and dividing the current sequence into small time periods for detection; analyzing the current waveform in each time window through a fractal theory, calculating the fractal dimension of the current waveform, and constructing a multi-scale fractal dimension feature vector; and using a Dirichlet process Gaussian mixture model to perform clustering analysis on the feature vectors so as to accurately identify faults. According to the medium and low voltage power distribution network fault online detection method based on cross wavelet coherence analysis, the optimal frequency band / scale can be determined in a self-adaptive mode, rapid fault detection is achieved in a short time window, and therefore the efficiency and accuracy of fault detection are remarkably improved.

The present invention discloses a hierarchical perception method of electric carbon emission intensity that takes into account the actual operation mode of the power grid. The method builds a real-time updated electrical standard topology grid model by reading the power output, substation flow and line flow, as well as the switch logic state of the disconnector and circuit breaker. And further generate the power layer carbon emission matrix and the node layer flow crossing matrix, rely on the breadth-first path search algorithm, search for the directed line path from the starting node to the end node, and further form the grid node power diversion coefficient matrix. By reading the injected power and injected carbon emissions injected by the unit into each node in the unit carbon emission matrix, the accurate node carbon emission value of the load layer is obtained by weighting. The present invention fully considers and provides a detailed process and precise measurement method of the electric carbon emission intensity of various types of electricity at different voltage levels and different locations superimposed on the load layer, providing technical support for the accurate statistics of the electric carbon emission and carbon emission intensity of users of various types of electricity loads in the region.

The invention discloses a self-adaptive droop control method giving consideration to SOC balance and voltage deviation, and the method comprises the steps: constructing an island DC micro-grid system, considering the power distribution principle of SOC balance and energy storage capacity, and setting a distribution factor associated with the SOC and the energy storage capacity for each energy storage device in the system; determining a power deviation function and a voltage deviation function of the island DC micro-grid system associated with the SOC, and obtaining a comprehensive optimization objective function after weighting; the SOC of each energy storage unit, the voltage reference value of the output end of the DC / DC converter and the line current are mutually communicated and exchanged through a consistency algorithm; and optimizing and solving the comprehensive optimization objective function by using an SHADE algorithm to obtain a droop coefficient and a voltage reference value of each energy storage unit converter. According to the self-adaptive droop control method, the droop control parameters can be dynamically adjusted, the problem that a traditional fixed parameter droop control strategy cannot adapt to actual operation conditions is solved, and meanwhile the system stability is improved and the power distribution is optimized.

The application discloses a kind of method and detection system of calculating elevator balance coefficient, comprising: the three-phase voltage value and two-phase current value of three-phase motor are collected, and the voltage phase angle value under voltage resultant vector and line voltage effective value in two-phase αβ coordinates are calculated based on three-phase voltage value and two-phase current value;Current phase angle value and line current effective value under current resultant vector;Elevator car operating speed and elevator car running distance are calculated based on voltage phase angle value;Power factor is calculated based on voltage phase angle value and current phase angle value;Elevator car passes through the moment of elevator balance position based on elevator car running distance, and elevator balance coefficient is calculated based on the running data when passing through elevator balance position.The application calculates the moment of elevator car passing through elevator balance position by three-phase voltage value and two-phase current value and the running distance of elevator car, and elevator balance coefficient can be quickly and accurately calculated based on the running data when passing through elevator balance position.

The invention discloses an electric power system transient stability rapid response control method and system, and relates to the technical field of electric power systems, and the method comprises the steps: collecting a transient harmonic current signal generated by a power grid fault in real time through a harmonic detection unit connected to a DC bus of an energy storage converter, and calculating the phase offset of the transient harmonic current signal; generating a power control instruction through a pre-configured hardware mapping circuit based on the phase offset; acquiring a current differential signal by using a power grid line current sensor, and identifying a path of transient energy flowing to a key unit based on a power grid topological structure; for the path, dynamically forming a virtual high-impedance wall on the target line; and on a consumption path predefined according to the power grid topological structure, controlling the energy storage converter to operate in a current source mode and configuring a reverse power characteristic so as to absorb the energy flow turned by the virtual high-impedance wall.

The invention provides a control method and a photovoltaic air conditioning system.The control method is applied to the photovoltaic air conditioning system.The control method comprises the steps that after a photovoltaic air conditioner is started, the current zero line current and the current line current on a three-phase circuit of a power grid are detected; according to the current zero line current and / or the current line current, whether the power grid breaks down or not is judged; and adaptively adjusting the power supply mode of the photovoltaic air conditioner according to the judgment result. According to the control method, the adaptability and stability of the photovoltaic air conditioning system in the complex electric power environment are improved, and more reliable and comfortable experience is provided for users. And the technical problem that in the prior art, a photovoltaic air conditioning system adopting a non-feed network type design cannot operate under emergency situations such as power grid power supply faults can be effectively solved.

The invention discloses a power distribution area line loss regulation and control method and system based on light storage cooperation and multi-time scale optimization. Comprising the following steps: data acquisition: acquiring photovoltaic output, energy storage SOC, node voltage and line current data in real time; prediction calculation: predicting photovoltaic and load, and generating regulation and control boundary conditions; optimization decision making: running day-ahead optimization regulation and control and intra-day multi-time scale regulation and control strategies, and generating a regulation and control instruction; and performing control: realizing rapid power adjustment through an energy storage converter and a photovoltaic inverter. A multi-factor coupling line loss model is established, an improved particle swarm algorithm is designed to solve an optical storage scheduling strategy, and data driving and a physical mechanism model are fused to improve prediction precision. And a second-minute-hour collaborative optimization architecture is further constructed, so that rapid voltage stabilization and energy space-time transfer are realized. The method can effectively reduce the line loss rate of the transformer area, and is suitable for the energy-saving and loss-reducing scene of the power distribution network with high-proportion new energy access.

The invention relates to the technical field of integrated circuits, in particular to an electron migration violation combined repair method and system, which comprises the following steps: after double-through-hole processing is completed, judging whether a power line inspection result meets a power line current standard or not, if not, adding a power grid to a damaged power line area, and if yes, adding a power grid to the damaged power line area; if yes, after high-layer metal wiring and buffer insertion are completed, large driving unit forbidding is carried out on a signal line to be repaired, a signal line inspection result, a unit path conversion value set and a unit clock conversion value set are recognized, whether the signal line inspection result meets a signal line current standard or not is judged, and if not, after buffer segmentation and damaged line widening are completed, the signal line to be repaired is repaired. And judging whether the unit path conversion value set and the unit clock conversion value set accord with a conversion value standard or not, and if not, disabling the non-standard driving unit until the signal line inspection result accords with a signal line current standard. According to the invention, the repair efficiency of electron migration violation can be improved.

The invention discloses a transformer substation AC power supply residual current detection method and device, and the method comprises the steps: carrying out the vector synthesis of three-phase current data and zero line current data, forming a current difference sequence, exporting a residual current reference curve, and carrying out the fluctuation analysis of the residual current reference curve, and judging the leakage characteristics. After effective leakage features are formed through harmonic elimination, dominant frequency components are locked through frequency spectrum decomposition; calibrating a leakage type identifier according to the dominant frequency component and forming segmented leakage distribution; a deviation degree is formed by means of segmented leakage distribution and residual current reference curve deviation analysis, a correction deviation value is formed through load fluctuation compensation, and a standard exceeding coefficient is formed according to threshold value comparison to detect abnormal nodes to form hidden danger data; establishing a judgment rule based on the hidden danger data and the leakage type identifier to form a detection evaluation index; and executing path tracking on the detection evaluation indexes to form leakage position information, forming a disposal priority through intensity analysis to generate a residual current detection report, and realizing leakage current classification identification and self-adaptive evaluation.

The invention provides a power distribution network acceptance capability assessment method considering EV space-time transfer characteristics, and belongs to the field of electric vehicle acceptance capability assessment, and the method comprises the steps: building a road network-power grid coupling node aggregation model based on EV charging load space-time distribution; a multi-objective optimization evaluation model of the EV load accepting potential of the power distribution network is constructed by taking the maximum electric vehicle charging load accepting capacity of the power distribution network and the minimum network loss cost of the power distribution network as objective functions, and the time sequence optimal power flow of the power distribution network is iteratively calculated; when it is judged that any one of the maximum deviation rate of the node voltage and the maximum overload rate of the line current exceeds an allowable range, the current EV permeability serves as the maximum critical permeability, and otherwise, the current EV permeability is gradually increased; establishing a comprehensive evaluation index system for the acceptance capability of the power distribution network, and comprehensively scoring each index; the invention further provides a power distribution network admitting ability evaluation system. The problem of insufficient acceptance capability evaluation of the power distribution network during large-scale access of the electric vehicles is solved.

The invention discloses an active power distribution network flexible resource collaborative planning method based on an improved CS algorithm, and the method comprises the steps: constructing a planning and operation integrated active power distribution network double-layer optimization model, enabling an upper planning layer to take the minimum annual comprehensive economic cost as a target, optimizing the locating and sizing of a distributed power supply and energy storage, and covering the investment cost, the operation and maintenance cost and the power purchase cost; the lower operation layer generates an energy storage charging and discharging strategy and a power flow scheduling scheme based on a typical day scene by taking minimum network loss and maximization of new energy consumption as targets, guarantees node voltage and line current safety margin through probability constraint, and constructs a multi-resource coordinated planning-operation closed-loop model; and adopting an improved cuckoo search algorithm to carry out iterative solution on the bilayer programming model. And improving a cuckoo search algorithm, combining a particle swarm optimization algorithm with the improved cuckoo search algorithm, converting double-layer multiple targets into a fitness function by adopting a linear weighting method, and solving an optimal planning scheme.

The invention discloses a low-current arc fault detection method based on time-frequency domain disturbance and related equipment, and the method comprises the steps: recognizing a time point where disturbance changes occur through an improved CUSUM algorithm, positioning a current data standard deviation, and then achieving the arc fault detection according to the changes of even harmonics before and after the time point. The circuit breaker solves the problems that a traditional circuit breaker can only detect short-circuit faults and overload faults by means of a line current rigid threshold value, and small-current arc faults are often missed and falsely detected due to small current change amplitude.

The invention discloses a short-circuit fault current limiter and a control method thereof. The current limiter comprises a capacitor, two IGBT (Insulated Gate Bipolar Translator) modules and four diode groups, when the line has no short-circuit fault, the two IGBT tubes are controlled to be conducted, and line current flows from the first end of the line to the second end of the line through one IGBT module or flows reversely through the second IGBT module; when a short-circuit fault occurs at the first end of the line, the two IGBTs are controlled to be switched off, the line current flows to the first end of the line from the second end of the line through the first diode group, the capacitor and the fourth diode group, and the capacitor is charged to enable the line to present high impedance so as to restrain the short-circuit current; when a short-circuit fault occurs at the second end of the line, the two IGBTs are controlled to be turned off, the line current flows to the first end of the line from the first end of the line through the third diode group, the capacitor and the second diode group, and the capacitor is charged to enable the line to present high impedance so as to restrain the short-circuit current. The short-circuit fault current limiter is high in response speed and low in equipment cost.

The invention discloses a main and distribution collaborative optimization scheduling method and system based on a static safety boundary of a power distribution network, and relates to the field of power system optimization scheduling, and the method comprises the steps: converting a voltage / current safety boundary of the power distribution network into the static safety boundary of the power distribution network through hyperplane linearization; establishing global safety margin indexes of the node voltage and the line current of the power distribution network, and introducing a safety margin weight coefficient to balance the priorities of the node voltage margin and the line current margin; determining margin income based on the global safety margin index and the safety margin weight coefficient, and establishing a dynamic weight adjustment mechanism to update the safety margin weight coefficient; constructing a target function based on the power generation cost of the main power grid, the new energy power abandoning penalty of the power distribution network and the margin income; and obtaining power grid data, and solving the main-distribution collaborative optimization model by using a quadratic programming method and the power grid data to obtain a main-distribution collaborative optimization scheduling scheme. According to the invention, bidirectional power interaction and collaborative optimization of the main power grid and the power distribution network are realized.

The invention discloses an intelligent opening and closing method and system for a reclosing circuit breaker based on an electromagnet, and relates to the field of intelligent control, and the method comprises the steps: monitoring a line current in real time, comparing the line current with a preset threshold value, and carrying out the opening after the overcurrent abnormality is detected. Entering a first time delay stage after opening, comprehensively evaluating the states of the circuit breaker and the circuit, and constructing a dynamic weight index system to calculate an evaluation score; if the score exceeds a threshold value, closing is carried out after time delay is finished, otherwise, an alarm is triggered. And entering a second delay stage after switching on, continuously monitoring the electric parameters and establishing an anomaly judgment mechanism, forming a closed-loop protection process of monitoring, switching off, evaluating, switching on and re-monitoring, and realizing intelligent linkage of overcurrent protection and state self-adaption. The method has the advantages that through real-time line electric parameter monitoring, multi-dimensional state evaluation and an intelligent decision-making mechanism, precise opening and closing of the circuit breaker are achieved, the power supply reliability is improved, the power failure time is shortened, and the misoperation risk is reduced.