10 results about "Line flow" patented technology

The present application relates to the technical field of large-scale power grid security, in particular to an optimal decentralized coordination control method for microgrid in new energy power system, comprising the following steps: based on the online obtained power grid topology and real-time line flow data, the virtual disconnection test is carried out on the key transmission line one by one, and the whole network cascade risk quantitative index is established. The present application realizes the simulation and analysis of line fault scene by real-time acquisition of power grid topology and line flow data, implementation of virtual disconnection test on key transmission line, establishment of whole network cascade risk quantitative index on this basis, and real-time comparison with safety threshold, identification of the initial fault line which is the biggest threat to system security, generation of vulnerable line risk contribution list, realization of positioning and advance prevention of high-risk line; further, the power adjustment amount required by microgrid group is directly calculated according to the risk contribution list, and the prospective flow diversion instruction set is formed.

The application discloses an embedded throttling device applied to a gas static pressure bearing, which comprises a gas guide, a throttling column and an elastic piece, the gas guide is provided with a first opening, the elastic piece is provided with a second opening, and the throttling column passes through the first opening and the second opening in sequence; the gas guide and the throttling column form a throttling gap for gas passing at the first opening, the elastic piece and the throttling column abut at the second opening, a first gas cavity is formed among the gas guide, the throttling column and the elastic piece, the throttling gap and the first gas cavity are in communication, a second gas cavity is formed among the elastic piece, the throttling column and a main shaft rotor corresponding to the gas static pressure bearing; wherein the throttling column forms an air inlet hole at the first gas cavity and an air outlet hole at the contact position with the main shaft rotor, and after external gas passes through the throttling gap and the first gas cavity, the external gas enters the throttling column through the air inlet hole and enters the second gas cavity through the air outlet hole.

The application relates to the technical field of optimal scheduling of distributed power grids, and specifically discloses a two-stage optimal scheduling method for distributed power grids based on a probabilistic power flow and a WOA-PPSO algorithm, which comprises the following steps: constructing a probabilistic power flow model, calculating the probability distribution characteristics of node voltage and line flow in the power grid containing wind power, photovoltaic power and load randomness based on the semi-invariant method and Gram-Charlier series expansion. The application introduces the probabilistic power flow modeling into the optimization constraint of the scheduling algorithm, and responds to the uncertainty that may exist in the power grid in real time; by constructing a two-stage scheduling algorithm, the global optimal scheduling plan is generated based on the WOA algorithm in the day-ahead scheduling, and the deviation caused by the uncertainty is quickly responded on the basis of the optimal scheduling plan in the real-time scheduling of the day; and the result of the day-ahead scheduling is taken as the reference starting value of the real-time scheduling of the day, and the projection method is combined with the PSO algorithm to construct the PPSO algorithm, so that the solving speed in the real-time scheduling of the day is maximally improved.

The application relates to the technical field of optimal scheduling of distributed power grids, and specifically discloses a two-stage optimal scheduling method for distributed power grids based on a probabilistic power flow and a WOA-PPSO algorithm, which comprises the following steps: constructing a probabilistic power flow model, calculating the probability distribution characteristics of node voltage and line flow in the power grid containing wind power, photovoltaic power and load randomness based on the semi-invariant method and Gram-Charlier series expansion. The application introduces the probabilistic power flow modeling into the optimization constraint of the scheduling algorithm, and responds to the uncertainty that may exist in the power grid in real time; by constructing a two-stage scheduling algorithm, the global optimal scheduling plan is generated based on the WOA algorithm in the day-ahead scheduling, and the deviation caused by the uncertainty is quickly responded on the basis of the optimal scheduling plan in the real-time scheduling of the day; and the result of the day-ahead scheduling is taken as the reference starting value of the real-time scheduling of the day, and the projection method is combined with the PSO algorithm to construct the PPSO algorithm, so that the solving speed in the real-time scheduling of the day is maximally improved.

The present application relates to the technical field of flow calibration, and discloses a multi-pipeline flow collaborative calibration system. The system comprises six modules, namely, flow characteristic acquisition, flow category classification, sequence analysis, trend analysis, correction and collaborative decision. The flow characteristic acquisition module acquires current flow data and real-time characteristic information of the multi-pipeline and indexes a historical flow data set; the flow category classification module classifies the historical characteristic information to obtain multiple flow categories, extracts relevant information to obtain a historical calibration score set; the sequence analysis module sequences the historical calibration score set and sorts it according to time to form a historical flow sequence; the trend analysis module analyzes the historical flow sequence to obtain a flow change rate and a stability deviation rate; the correction module matches the real-time characteristic information with the flow categories and corrects the above rate values according to the deviation; and the collaborative decision module makes a multi-pipeline collaborative calibration decision based on the corrected data, generates and executes a flow calibration scheme, and helps to accurately control the flow of the multi-pipeline system.

The invention discloses a distributed source-load collaborative strategy optimization method oriented to supply and demand mutual assistance of production and consumer of a micro-grid. The method comprises the following steps: constructing a production and consumer source-load physical state and energy storage time sequence constraint model; constructing a mutual aid power physical boundary; defining a virtual potential energy state quantity; constructing a delivery and disappearing person supply and demand mutual aid collaborative decision-making model; performing linearization processing on the alternating current power flow equation; solving a node voltage amplitude and a line power flow disturbance vector; converting the node voltage amplitude disturbance vector into a mutual aid power matrix; establishing a network physical constraint feasible region; establishing a global mutual aid matching model; constructing an asynchronous driving and joint optimization loop; virtual congestion potential energy is calculated; performing robust sensing extreme scene verification and cross-scene residual quantization on the mutual aid power matrix, and tightening the upper bound of a network physical constraint feasible region; and when the indexes converge, outputting a mutual aid power matrix and a scheduling instruction. According to the method, the problems that existing network constraint embedding lags behind, asynchronous negotiation convergence is insufficient, and cross-scene feasibility of extreme scenes is lacked can be solved.

The application provides a low-voltage power grid fault diagnosis method and system based on an improved whale optimization algorithm, and the topology structure of a low-voltage power grid is obtained according to low-voltage power grid station area data; based on the obtained topology structure, the impedance of each branch of the low-voltage power grid is calculated by using an improved whale optimization algorithm based on Levy flight and simulated annealing; according to the impedance of each branch, the power loss of each branch is calculated by using a root mean square current method; and according to the power loss of each branch, the low-voltage power grid fault diagnosis result is obtained; the Levy flight strategy and the simulated annealing strategy are applied to the optimization process of the whale optimization algorithm, so that the whale optimization algorithm can jump out of the local optimum and the global search ability is enhanced, and the impedance calculation method based on the improved whale optimization algorithm based on Levy flight and simulated annealing is proposed by combining the line flow calculation, accurate calculation of the line loss of the station area branch is realized, and more accurate monitoring and fault diagnosis of the low-voltage power grid are realized.

The invention provides a bandwidth adjustment method and device of a special line, electronic equipment and a storage medium, and relates to the technical field of special line management. The method comprises the following steps: acquiring private line flow data and service flow data of a service system at the current moment; wherein the private line flow data comprises a private line bandwidth usage amount of the service system at the current moment, and the service flow data comprises historical private line bandwidth occupation amounts of a plurality of services executed by the service system at the current moment in a set historical time range adjacent to the current moment; based on a plurality of historical dedicated line bandwidth occupancy amounts included in the service flow data, predicting a total dedicated line bandwidth occupancy amount of the plurality of services at a next moment adjacent to the current moment; and determining a special line bandwidth adjustment strategy based on the total special line bandwidth occupation amount and the special line bandwidth usage amount included in the special line flow data, and adjusting a special line bandwidth threshold value of the service system based on the special line bandwidth adjustment strategy. In this way, the bandwidth threshold value of the private line can be adaptively adjusted.

The invention provides an electric energy quality control method and device for a flexible interconnected power distribution network, and relates to the field of power system maintenance, and the method comprises the steps: determining a voltage amplitude at a future moment and a loss value of the power distribution network at the future moment according to the obtained node rated voltage, line electrical parameters and line flowing power; according to the voltage amplitude at the future moment, the loss value of the power distribution network at the future moment and a pre-constructed real-time optimization objective function, obtaining a control variable optimal parameter under a constraint condition of the power quality regulator; and optimizing the power quality of the flexible interconnection power distribution network by using the optimal parameter of the control variable to obtain a stable power grid voltage. By adjusting the transmission power of the power quality regulator, the power distribution network loss can be reduced, the voltage drop can be reduced, and the voltage fluctuation can be stabilized.