24 results about "Line flow" patented technology

A compact, fabricated chassis houses an in-line flow meter and supporting electronics. The chassis surrounds the flow meter and houses a large external battery and a solar panel to maintain the battery's charge. The chassis also incorporates an electrical panel that houses a battery that connects to the flow meter. The flow meter is connected on each end to short sections of pipe, within the chassis, that are connected to job-site piping. The short sections may also include ports for additional sensors, which connect back to a monitoring device for remote monitoring. The chassis further includes an adjustable, slotted base plate to accommodate differently-sized flow meters for different applications. The chassis may be formed as stackable unit with alignment pins to guide placement and prevent slippage.

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 invention discloses a parallel pipeline flow distribution method and device, and relates to the technical field of parallel pipeline flow distribution. The parallel pipeline flow distribution method comprises the steps that the flow of a first branch is adjusted to reach the target flow a1, the first valve opening value D1 of the first branch is locked, then the flow of a second branch is adjusted to reach the target flow a2, the second valve opening value D2 of the second branch is locked, and the rest can be done in the same way, and finally, the flow of the nth branch is adjusted to reach the target flow an, the nth valve opening value Dn of the nth branch is locked, and the total valve opening value D0 is locked, so that flow adjustment of all the branches is completed. The parallel pipeline flow distribution device is suitable for the parallel pipeline flow distribution method. The invention aims to provide the parallel pipeline flow distribution method and the device thereof so as to solve the technical problem that in the prior art, parallel pipeline flow distribution adjustment is complex to a certain extent.

This invention relates to the field of power system technology and discloses a method, system, equipment, and medium for line power flow regulation in power systems. The method involves collecting operational data of the power system after the integration of renewable energy equipment to predict the target value of reactive power demand. When this value falls within the regulation capacity range of reactive power flow regulation equipment, including bypass switches, LC filters, H-bridge converters, and DC capacitors, multiple target devices are determined based on the capacity margin of the equipment and its electrical distance from the renewable energy equipment. A quadratic programming model is constructed and solved based on the target value of reactive power demand to obtain the output strategy of the target devices, which is then sent to the corresponding target devices to control the line power flow through decoupling control technology. The regulation results are verified; if the verification fails, the target value of reactive power demand is incrementally corrected, and the strategy is re-solved until the final verification is successful, thereby achieving effective regulation of line power flow in the power system.

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 invention relates to the technical field of power system optimization scheduling, and discloses a multi-time-scale optimization scheduling method considering key section power flow safety, which comprises the following steps: firstly, identifying a system partition map based on an adaptive GN algorithm, and establishing an optimization model considering power grid safety operation constraint conditions such as node power balance and line power flow balance; optimizing to obtain a key section tidal current safety limit value; establishing a day-ahead deterministic optimization scheduling model by taking the minimization of the total operation cost of the power system as a target, and further establishing a date two-stage distribution robust optimization scheduling model considering the wind power uncertainty and solving the date two-stage distribution robust optimization scheduling model; and considering a refined time scale, carrying out refined modeling on an intra-day load and a wind power output predicted value, establishing an intra-day rolling optimization scheduling model based on a model prediction control theory, and solving the intra-day rolling optimization scheduling model. According to the method, the robustness of a power system for dealing with short-term internal source load rapid fluctuation is improved, and the safety and reliability of power grid operation are remarkably improved.

An automated control system includes at least one memory storing instructions. The automated control system includes at least one processor being configured to execute the instructions to perform operations. The operations include automatically determining the following in a steady-state current injection model: current withdrawal phase angles, power factor constraints, demand bus voltage magnitude constraints, generator voltage magnitude constraints, network flow constraints, generator capacity constraints, thermal line flow constraints, minimum and maximum demand bus voltage phase angle differences, minimum and maximum generator voltage phase angle differences, nodal voltage phase angle vectors, voltage stability constraints, a reference voltage constraint, linear marginal cost curves, linear marginal revenue curves, and retail rates. The operations include automatically minimizing a profit objective function through employment of a Lagrangian function, KKT conditions, and a Newton-Raphson algorithm. The operations include automatically determining setpoints for a plurality of electric power system resources.

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.

This application discloses a method, apparatus, and device for determining video route information. The method includes: acquiring the line flow of two-dimensional line segments in a video image frame corresponding to the video to be processed, and the line flow of three-dimensional line segments in the video image frame; supplementing the missing parts of the line flow of the three-dimensional line segments based on the line flow of the two-dimensional line segments to obtain the line flow of the target three-dimensional line segments; and determining the route information corresponding to the video to be processed based on the line flow of the target three-dimensional line segments.

The utility model relates to an open channel on-line flow calibration system based on an ultrasonic electromagnetic technology, a flow measurement module comprises an ultrasonic liquid level sensor and a flow sensor, the ultrasonic liquid level sensor is arranged on a contraction section of a Parshall groove, and the flow sensor is arranged on a connecting pipeline; the control module is in communication connection with the flow measurement module and used for calculating the measurement difference value between the flow data measured by the ultrasonic liquid level sensor and the flow data measured by the flow sensor, and if the measurement difference value exceeds a preset flow threshold value, online calibration is conducted, and an alarm is given out. According to the technical scheme, the flow sensor is arranged to be matched with the ultrasonic liquid level sensor, when the measurement difference value between the flow sensor and the ultrasonic liquid level sensor exceeds the preset flow threshold value, online calibration is carried out, an alarm is triggered, and therefore real-time calibration can be carried out, and the requirement for online continuous measurement is met. And when the measured difference value exceeds the preset flow threshold value, an alarm is given.

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 discloses a method for constructing a traceable integrated energy system carbon emission flow model, which comprises the following steps of: constructing equivalent flow networks of different types of energy systems on the basis of a theory, and respectively constructing proportion matrixes for a lossless network and a lossy network; calculating source side unit contributions of node load, line flow energy and transportation loss based on the proportion matrix; and then, based on the carbon emission characteristics of each source side unit, quantitatively calculating the carbon emission flow of each link of node load, line flow and loss, and realizing the accurate tracing of the carbon emission of the integrated energy system. The invention aims to provide a scientific basis for carbon responsibility allocation and carbon quota allocation of an integrated energy system in a carbon trading market, and improve the refinement level of carbon emission management and decision making.

The invention discloses a general distribution coefficient calculation method and system based on fault power flow section generation, and the method comprises the steps: decomposing the simultaneous tripping process of a multi-circuit line into an ordered successive tripping sequence, and calculating the power flow distribution of the line based on the successive tripping sequence; for each faulty line, based on the system operation state after tripping, all possible middle line combinations from the faulty line to a target non-faulty line are exhausted, and the total contribution of tripping of the line to the power flow of the target line is calculated; and generating a power flow section control inequality by using the distribution coefficients calculated by all fault lines and combining the power flow of each line before the fault, and evaluating the safety condition of the system. According to the method, multiple distribution coefficients are introduced, the process of simultaneous tripping of multiple circuits is decomposed into the process of successive tripping of the circuits, monitoring and analysis of the multiple circuits can be achieved, an effective technical means is provided for power grid operation personnel to know the power grid operation condition in time, and the influence of N-k on the system under source load fluctuation is reflected.

The embodiment of the invention provides a fault detection method and device, electronic equipment and a storage medium, and belongs to the technical field of nuclear power safety detection. The method comprises the following steps: performing anomaly detection on the water level of the voltage stabilizer, and judging an operation type; if yes, the water level of the voltage stabilizer, the initial temperature of a loop system, the main pump shaft seal injection flow, the backwater flow, the charging pipeline flow and the discharging pipeline flow are obtained. And calculating the initial leakage rate of the pressure stabilizer according to the initial temperature and the water level height. And basic fault identification is carried out through the water level height of the pressure stabilizer, the initial leakage rate, the main pump shaft seal injection flow and the main pump shaft seal backwater flow, and whether a basic fault exists or not is judged. And if no fault exists, the type of the pore plate and the system discharge flow are obtained, reference fault identification is carried out according to the water level height of the voltage stabilizer, the type of the pore plate, the flow of the charging pipeline, the flow of the discharge pipeline and the system discharge flow, and a reference fault type is obtained. According to the embodiment of the invention, the fault detection efficiency can be improved.

The invention discloses an inter-provincial power transaction power transmission reliability margin probability evaluation method and device considering multi-source uncertainty, and relates to the technical field of power system dispatching operation. The method comprises the following steps: acquiring multi-source uncertainty basic data of a power system; constructing a multi-source uncertainty joint probability distribution model based on a Gaussian mixture model; establishing a mapping relation between the uncertainty disturbance and the line power flow in combination with the alternating current power flow sensitivity matrix; and calculating a power transmission reliability margin (TRM) through a probability density function. According to the method, the influence of renewable energy fluctuation and power market disturbance on the power transmission margin can be accurately quantified, the accuracy of available power transmission capacity (ATC) evaluation is improved, and the safety and economy of cross-regional power transaction are guaranteed.

The application discloses a kind of based on extreme value theory's distribution network consumption capacity evaluation method, first, extreme value theory is used to carry out fluctuating load modeling, determine distribution network line and distribution network fluctuating load recurrence period and recurrence level;Second, extreme value distribution is used to fit the tail distribution of node injection power, calculate T year line maximum load rate, to quantify line flow and the load capacity of distribution line under different overrun probability;Finally, according to the actual load type of distribution network, the feeder load rate under multiple types of load is calculated as the load evaluation index of distribution network line, to evaluate its distributed power consumption capacity.The application can obtain the line load rate level under different recurrence period and the recurrence period under the proposed line limit load rate;Therefore, the fluctuating load consumption capacity of line can be evaluated in time, and theoretical basis is provided for the future distribution network planning with high proportion of fluctuating load access.

An automated control system includes at least one memory storing instructions. The automated control system includes at least one processor being configured to execute the instructions to perform operations. The operations include automatically determining the following in a steady-state current injection model: current withdrawal phase angles, power factor constraints, demand bus voltage magnitude constraints, generator voltage magnitude constraints, network flow constraints, generator capacity constraints, thermal line flow constraints, minimum and maximum demand bus voltage phase angle differences, minimum and maximum generator voltage phase angle differences, nodal voltage phase angle vectors, voltage stability constraints, a reference voltage constraint, linear marginal cost curves, linear marginal revenue curves, and retail rates. The operations include automatically minimizing a profit objective function through employment of a Lagrangian function, KKT conditions, and a Newton-Raphson algorithm. The operations include automatically determining setpoints for a plurality of electric power system resources.

The application discloses a line flow chart technical field and discloses a line flow chart plant station layout generation method and system based on a force guide algorithm. The method comprises the following steps: combining a plant station model and a line model to perform topological analysis, taking the plant station as a node of a flow chart, and identifying the connection relationship between the plant stations; according to the principle that there is an attractive force between connected nodes, calculating the attractive force set received by each node, and converting the attractive force into the displacement of the node; on the basis that the node receives the attractive force, converting the repulsive force into the displacement of the node based on the same method; taking the center point of the flow chart as a reference point to set a penalty function, superimposing the attractive force effect according to the distance between each node and the reference point, and converting the attractive force into the displacement of the node; after reaching dynamic balance, mapping the node position to a specific rectangular boundary to generate the line flow chart plant station layout. The application improves the drawing efficiency of the flow chart, the plant station layout is uniform, the drawing workload and maintenance cost are reduced, and the accuracy of the flow chart is improved.

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.