61 results about "Power-flow study" patented technology

A system and methods that enables power flow management using AGC commands to control power resources. Power regulation can be apportioned to the power resources. An AGC command requesting an apportioned amount of the power regulation may be transmitted to a power resource. The power flow manager can determine a power regulation range for a power resource, and transmit an AGC command based on the power regulation range. In addition, a power flow management system can detect a change in an intermittent power flow and implement a power flow strategy in response to the change in the intermittent power flow. The power flow strategy may be a smoothing strategy or a leveling strategy.

The invention discloses a car network-coupled power flow calculation method for a metro power supply system. The method comprises the steps of (S10) simulating equivalent AC / DC side electric power component attribute parameters on the basis of a coupling relationship between a power supply system and train operation; (S11) building a DC side power supply network model and an AC side power supply network model according to the AC / DC side electric power component attribute parameters, basic data of lines and train operation information; and (S12) carrying out cross iterative calculation on a DC side power flow value and an AC side power flow value according to the DC side power supply network model and the AC side power supply network model. By the car network-coupled power flow calculation method for the metro power supply system disclosed by the invention, the calculation accuracy of the power flow values can be effectively improved through cross iterative calculation of the DC side power supply network model and the AC side power supply network model.

A wind energy installation includes a tower provided with rotor blades that are adjusted using a servomotor connected to a pitch circuit and an emergency circuit. During normal operation the rotor blades are actuated by the pitch circuit and during emergency operation are actuated by the emergency circuit. The emergency circuit has an electric energy store, a switching device, connection lines to the servomotor and a protection device which includes comprises a power flow detector module (60) designed for determining whether electric power flows into or from the servomotor and a discharge module designed to limit the voltage and / or current in the emergency circuit in the case of a power flow from the servomotor.

The purpose of the present invention is to provide a power flow monitoring device for a power system, a power system stabilization device, and a power flow monitoring method for a power system, which are highly reliable and accurate. The present invention is characterized by being provided with: a power system information database which stores measurement data obtained at a first node of the power system; a phase measurement value database which stores temporally synchronized phase measurement data obtained at a second node of the power system; a fault condition database which stores a power flow state under an assumed fault condition of the power system; a state estimation unit which estimates a state quantity of the power system using information in the power system information database as an input; a stability error detection index calculation unit which calculates a stability error detection index using, as an input, a state quantity estimation value which is an output of the state estimation unit, information of the state quantity from the phase measurement value database, and information in the fault condition database; and an error detection alert generation unit which compares the stability error detection index with a threshold value thereof and generates an alert when the stability error detection index exceeds the threshold value, wherein the magnitude of deviation of the state quantity estimation value with respect to the information of the state quantity from the phase measurement data is evaluated according to the assumed fault condition before the alert is generated.

A power flow control system for an interconnected power system, the interconnected power system comprising a plurality of electrical subsystems; an abstract framework configured to work as a utility maximiser under constraints (that applies to the electrical subsystems by specifying their capabilities, expected behavior and a simplified view of their internal state);and a plurality of agents. Each agent is responsible of one or a plurality of the electrical subsystems, comprises means configured to express an internal state of the electrical subsystem within a common system of coordinates, and has communication means configured to communicate among agents according to a protocol. The abstract framework means enables a composition of a set of the interconnected electrical subsystems into a further subsystem for which a further internal state is expressed within the same common system of coordinates used before, the further internal state being communicated with other agents according to the protocol.

The electrical power transmission apparatus is electrically connected to an electrical main and a fee collecting device. The electrical power transmission apparatus includes a transmission unit that includes a first output port and a second output port; an electrical power flow detector is electrically connected to the electric main; a conversion unit includes a first converter and a second converter that effect conversion of electrical power, the first and second converters are respectively and electrically connected between the first and second output ports and the electrical power flow detector, and the first and second output ports respectively supply alternate-current (AC) power and direct-current (DC) power through the conversion effected by the first and second converters; and a processing unit is electrically connected between the electrical power flow detector and the fee collecting device and is further electrically connected to the conversion unit to control selection of the electrical power to be transmitted to AC power or DC power. The processing unit receives a detection result of the electrical power flow detected by the electrical power flow detector for generating a related amount of fee with which the fee collecting device carries out a fee collecting operation.

The present invention provides an industrial park microgrid electric heating integrated scheduling method based on distributed cleaning heating. The method comprises the steps of: establishing an industrial park microgrid whole frame based on distributed heating, wherein the whole frame comprises a building electric heating supply system and an industrial park cooperative power supply system; constructing an industrial park microgrid simulation model, wherein the industrial park microgrid simulation model a building heat balance model, an air source heat pump model and a heat storage device model; constructing an industrial park microgrid day-ahead economic scheduling model, wherein the industrial park microgrid day-ahead economic scheduling model comprises a target function, an electric power balance constraint condition, an indoor temperature constraint condition, an air source heat pump heat power constraint condition, an energy storage capacity constraint condition, an energy storage device power constraint condition, a photovoltaic network power constraint condition and a power flow constraint condition; and providing a microgrid scheduling solution method based on the geneticalgorithm, wherein the microgrid scheduling solution method comprises individual screening and modification and optimizing of part of the genetic algorithm. The industrial park microgrid electric heating integrated scheduling method based on distributed cleaning heating can provide a technical support for scheduling of an industrial park by taking distributed cleaning heating as a core to facilitate improvement of the energy integral utilization and the management level and prompt the reasonable development of an industrial park micro energy grid.

A meshed HVDC power transmission network (10) comprises at least three HVDC converter stations (1, 2, 3) interconnected in a first closed path by at least three transmission lines (16, 18, 20). A first DC power flow control device (30) is series connected to a first (20) of the at least three transmission lines. That first DC power flow control device (30) takes its power from the first transmission line (20) and balances the DC current distribution in the first closed path.

The invention discloses a subway train operation and traction power supply system coupled simulation modeling method which comprises the steps of: based on a coupling relationship between a train traction power supply system and a train traction transmission system, equivalently simulating attribute parameters of each power component so as to construct a train-network coupled simulation calculation model of a subway power supply system; according to the train-network coupled simulation calculation model of the subway power supply system, calculating a power flow value of the train traction power supply system; and according to the power flow value of the train traction power supply system and a train working diagram, regulating a departure interval so as to suit for trains in different operating conditions to operate on time. According to the simulation modeling method provided by the invention, the power components in the traction power supply system are subjected to equivalent simulation on the basis of the coupling relationship between the traction power supply system and the train traction transmission system, a coupling relationship between trains and a traction network can be more accurately described, and the multi-train operation train-network real-time electric coupling phenomenon on a subway site actual track is accurately and effectively described.

A power distribution network includes a plurality of power source nodes and component nodes, which direct power from the plurality of power source nodes to a plurality of load nodes; a plurality of sensors positioned to sense power flow information for the plurality of power source and component nodes; and a data warehouse housing the power flow information and diagnostic data for the plurality of power source and component nodes. The power distribution network also includes a control system configured to retrieve the power flow information and the diagnostic data; generate stress and health indices and compute a criticality for each of the power source and component nodes; and generate a risk index for each of the power source and component nodes based on their respective stress index, health index, and criticality. The risk index of each node represents the risk the node poses to the power distribution network.

The invention discloses a method and a system for adjusting power flow of a power system based on deep reinforcement learning, and relates to the field of automatic adjustment of large power grid power flow. The method comprises the following steps: taking a to-be-adjusted active power range of each target section as input information of a training target; carrying out preliminary screening on anadjustable generator in the power system; randomly obtaining the number of the target section m and the transmission power of the target section m; further determining a fine screening strategy of theadjustable generator based on the training target of each round, and compensating the change of the active power in real time; generating an adjustment strategy by using a deep reinforcement learningalgorithm; and executing an adjustment strategy to adjust the power flow state of the power system until the transmission power is adjusted to a target value. According to the method, automatic calculation of the operation mode of the power system becomes possible, and the method has great engineering application value and popularization prospect.

The invention discloses a power distribution network voltage regulation method based on an internet cloud platform and distributed energy storage. The distributed energy storage accesses to the cloudplatform through the internet, and sends an energy storage state and other data to the cloud platform; the cloud platform monitors power distribution network flow in real time, when a voltage peak ofa node in the power distribution network deviates from the normal range, the internet platform performs optimal computation on the power flow through a voltage sorting search method, determines the optimal distributed energy storage charging / discharging policy, and then sends the charging / discharging instruction to the distributed energy storage unit. The voltage is regulated to the normal range by using the charging / discharging of the distributed energy storage, and the safe and stable running of the power distribution network is maintained.

The invention discloses a GPU thread design method of power flow Jacobian matrix calculation. The method comprises the steps that: power grid data is input, and pre-processing is carried out on a node admittance matrix Y; a CPU calculates position mapping relation tables respectively between sub-matrix non-zero elements and node admittance matrix Y non-zero elements; the calculates position mapping relation tables respectively between sub-matrix non-zero elements and Jacobian matrix non-zero elements; in a GPU, injection power of each node is calculated by an injection power kernel function S; and in the GPU, non-zero elements in sub-matrixes are respectively calculated by Jacobian sub-matrix calculation kernel functions and stored in a Jacobian matrix. According to the invention, the calculation of Jacobian matrix non-zero elements is carried out by the sub-matrixes, and the judgment of branch structures of sub-matrix regional process belonging to the elements, which is required by the direct calculation process using a single kernel function, is avoided, so that the execution efficiency is improved; in addition, the non-zero elements in the sub-matrixes having identical calculation formulas are calculated in a centralized manner, so that the problem of unbalanced thread loads is solved, and the efficiency of parallel calculation is improved.

A new approach in contingency analysis is presented based on a modular method for power flow calculation. The proposed method exploits reuse of power flow data for modules not affected by an outage. The method minimizes the number of necessary computations and matrix inversions in contingency analysis; this is achieved by recalculating only the modules affected by the change and reusing data from the original system for all other modules.

The invention provides an evaluative analysis method for static security check of a large-scaled power grid. The method includes the steps of 1, determining a field device to be evaluatively analyzed and acquiring planned power flow data and historical operational data of the field device; 2, performing day-ahead active analysis and day-ahead line planned power flow deviation analysis according to the planned power flow data and the historical operational data. Compared with the prior art, the method is applicable to generation scheduling, bus load prediction and line planned power flow deviation statistics and is simple and good in practical effect.

The invention discloses a GPU accelerated power flow jacobian matrix LU decomposition method. The method includes the steps that LU symbol decomposition is carried out on a jacobian matrix J in a CPU to obtain sparse structures of a lower triangle transformation matrix L and an upper triangle matrix U, and the sparse structure of J is equal to L+U after symbol decomposition; according to the sparse structure of the matrix U, all columns of the matrix J are layered in a parallelization mode, and data needed by calculation is transmitted to a GPU; a layered LU decomposition kernel function Sparse LU is calculated in the GPU in the sequence of level progressive increase. The mode of combining program process controlling and basic data processing through the CPU with dense floating-point calculation processing through the GPU is used for improving the efficiency of power flow jacobian matrix LU decomposition, and the problem that flow calculation consumes time greatly in electric system static safety analysis is solved.

The invention discloses a QR decomposition method of a power flow Jacobian matrix for GPU acceleration. The QR decomposition method comprises the steps of carrying out QR symbol decomposition on a Jacobian matrix J in a CPU so as to acquire a Household transformation matrix V and a sparse structure of an upper triangular matrix R; carrying out parallelized layering on each column of the matrix J according to the sparse structure of the matrix R; and calculating a sub-layer QR decomposition kernel function SparseQR according to a level increasing order in a GPU. According to the invention, the efficiency of QR decomposition of the power flow Jacobian matrix is improved by using a mode of combining the process of a CPU control program for processing basic data and the GPU for processing intensive floating-point calculation, and a problem great time consumption of flow calculation in power system steady-state security analysis is solved.

The invention discloses an integrated energy system weak point identification method based on a unified power flow model and a random matrix. The integrated energy system weak point identification method comprises the following steps of: (1) establishing an integrated energy system unified power flow model; (2) selecting power flow data and establishing a random matrix; (3) standardizing and preprocessing the random matrix; (4) identifying the abnormal state of the system; and (5) identifying weak points of the system. Methods of the invention may be provided. According to the invention, a random matrix theory is introduced into integrated energy system weak identification; the operation state of the system is analyzed in a data driving mode, the physical structure of the comprehensive energy system does not need to be identified, the modeling process of the comprehensive energy system is avoided, the complexity of the physical structure and the modeling process of the comprehensive energy system is overcome, and the accuracy and rapidity of system state identification and weak point identification are improved.

The invention provides a charging and discharging optimization control method for an electric automobile group. The method comprises the following steps of acquiring next-day charging and dischargingtime period data of each automobile participating in charging and discharging; discretizing next-day time into a plurality of time slots and generating a time slot set according to the next-day charging and discharging time period data of all the automobiles; acquiring electric power flow data and sensitivity data of each time slot in the time slot set; calculating the charging and discharging power of each automobile in each time slot by means of an internal point approach according to the sensitivity data. By means of the charging and discharging optimization control method, voltage fluctuation is reduced, peak-to-valley differences of loads are reduced, the losses of a power distribution network are decreased, and economic benefits of users of the electric automobiles are increased.

The invention discloses a power system fault monitoring method. The power system fault monitoring method comprises the steps of generating a power flow network structure through an electric system, calculating the operating parameters of the electric system, simulating the electric system according to the calculated operating parameters, and monitoring the fault of a microcomputer protection device in the electric system according to the simulation result. In addition, the invention discloses a power system fault monitoring system. According to the power system fault monitoring method, the real-time power flow network structure is generated through modeling of the electric system, simulating monitoring physical quantity of the actual electric system is obtained through simulation model calculation, electric monitoring quantity is directly input into a comprehensive protection device to simulate the on-site running condition of the electric system, and therefore on-line monitoring and examining of the power system fault can be achieved efficiently and accurately.

The invention discloses a power grid future operation mode static security check method considering spot transactions. The method comprises the following steps: S1, acquiring intraday plan data of thespot transactions; S2, acquiring basic operation mode data of the power grid; S3, performing data inspection on the daily plan data and the power grid basic operation mode data, and correcting unreasonable data; S4, on the basis of the daily plan type data and the power grid basic operation mode data, power grid power flow at a future moment is estimated; And S5, assessing whether the power gridis safe or not based on the power grid power flow data at the future moment. According to the invention, data inspection and processing are carried out on the daily plan data in the spot transaction data, the daily plan data are integrated with the basic operation mode data to generate power flow data at a future moment, and then static security check is carried out to realize static security analysis of the future power flow.

The invention provides a power grid weak link analysis method of based on statistic power flow. The method includes setting a time scale; extracting the running historical data of each main transformer and setting power flow heavy load coefficients and a power transmission section stable limit; setting iteration frequencies and iteration maximum frequency; calculating the power transmission section power flow mean value; calculating sign functions; calculating the power flow evaluation indexes; calculating the power flow heavy load degree of each main transformer; or sequencing the main transformers based on importance and other steps. According to the invention, the time dimension on the power flow data can be increased and the month or year is selected as the time scale to identify the heavy load degree of the main transformers in a certain period of time, the early peak hours can be used as the time scale to analyze the effect of the early peak on the main transformer load factors, and the time proportions of the power flow heavy load coefficients greater than 60% are sequenced to analyze the importance degree of the main transformers of the equipment, so that the weak link of the power grid can be timely discovered, and the instructions for reasonably arranging the operation ways, maintenance schedules, and power grid planning can be provided.

The invention relates to a hybrid simulation-based electromagnetic direct-current model automatic adjustment method and system. The method comprises the steps of obtaining initial running condition information from electromagnetic side power flow data, and assigning initial values to initialized information components of a pre-built electromagnetic direct-current model; based on control process parameters of the information components in the initial running condition information, adjusting a current running state of the electromagnetic direct-current model; and when current running state dataafter adjustment is consistent with the electromagnetic side power flow data, switching off a clamping power supply on a converter bus, thereby enabling the electromagnetic direct-current model and anelectromechanical side power grid to form a closed loop through a hybrid simulation interface, and starting hybrid simulation. Therefore, quick and automatic adjustment of running conditions of the electromagnetic side direct-current power transmission model in electromechanical-electromagnetic hybrid simulation of a large-scale alternating-current and direct-current power grid is realized; the workload of manual adjustment of running modes of the electromagnetic direct-current model during the hybrid simulation of the alternating-current and direct-current power grid is greatly reduced; quick adjustment of the running modes of the direct-current electromagnetic model is realized; and the simulation efficiency is remarkably improved.

The invention discloses an attack-oriented electric power industrial control system service self-recovery method and system, and the method comprises the steps: receiving comparison information sent by equipment in a site range according to a backup equipment operation state and file change content increment, generating a recovery strategy, and sending the recovery strategy to corresponding equipment, and carrying out the site function self-recovery; Matching the power flow data with regional system configuration parameters one by one, and analyzing the regional system power loss to obtain a power loss region after confirming that all nodes of the regional system are matched; Determining a coordinated scheduling strategy of the power flow in the regional system according to the power lossregion, generating a global recovery control command, and sending the global recovery control command to a global station and equipment to perform regional system service function self-recovery. According to the method, after the power industrial control system is attacked, real-time, efficient and comprehensive self-recovery of power services can be achieved, and system loss caused by attacks isreduced to the maximum extent.

The invention provides a charging and discharging optimal control method of an electric car group. The method comprises the steps that charging and discharging time period data in a next day of each car participating in charging and discharging is obtained; the time in the next day is dispersed into a plurality of time slots, and a time slot set is generated according to the charging and discharging time period data in next day of all cars; power flow data and sensitivity data of each time slot in the time slot set are obtained; and the charging and discharging power of each car in each time slot is calculated by adopting an interior point method according to the sensitivity data. The charging and discharging optimal control method relieves the voltage fluctuations, lowers the load peak and off-peak difference, reduces the distribution network energy loss, and increases the economical benefits of electric car users.

A new approach in contingency analysis is presented based on a modular method for power flow calculation. The proposed method exploits reuse of power flow data for modules not affected by an outage. The method minimizes the number of necessary computations and matrix inversions in contingency analysis; this is achieved by recalculating only the modules affected by the change and reusing data from the original system for all other modules.