32results about How to "Reduce active network loss" patented technology

The invention discloses an operation optimization method for a power distribution network comprising a schedulable distributed power supply. The method comprises the following steps: inputting initial values of a line parameter, load level, network topology connection relationship, a distributed power supply connection position, a power factor, reference voltage and reference power according to a given power distribution system comprising the schedulable distributed power supply; establishing a mathematical model for an operation optimization problem of the power distribution network comprising the schedulable distributed power supply according to all the parameters; introducing a variable to perform indirect description on a branch switch state: when branch ij is disconnected, keeping the variable equal to zero, and when the branch ij is connected, keeping the variable equal to Xi; setting rotating cone constraint according to the network structure and scale; solving the mathematical model for the operation optimization problem of the power distribution network comprising the schedulable distributed power supply, an inequality for performing indirect description on the branch switching state and the rotating cone constraint by using a cone optimization method; and outputting a solving result. According to the method, the economy and the reliability for operation of the power distribution system are further improved, and simultaneous optimization of output power of a plurality of distributed power supplies is realized.

The invention relates to the field of distributed energy resource access, and specifically a power network reconfiguration method for optimizing a distributed energy access point and an access proportion. The method comprises the following steps: adopting an adaptive weight particle swarm optimization algorithm, a Newton-Raphson method and a power distribution network reconfiguration method to perform an optimal reconfiguration on the power network in the presence of distributed energy resources, analyzing two or more access point optimal selection method, access active capacity calculation method and calculation method of system power flow before and after access when the distributed energy resources (wind power, photovoltaic energy) are accessed to a system; and adjusting the wind power and photovoltaic distributed energy resource access points and access proportions, analyzing the impact of different access proportions on the system economy and giving a system optimization measure. The method is applied to an IEEE-14 node model and an IEEE-30 node model, the reconfiguration result is analyzed, and optimum access points and access proportions of two distributed energy resources can be obtained; after a reconfiguration network is optimized, the network loss is the minimum and the reactive power output is reasonable, the economy of the system is improved and the voltage level satisfies the requirement of stable operation.

The invention relates to a reactive power optimization method of a photovoltaic system based on a quantum particle swarm algorithm, belonging to the technical field of reactive power regulation of a photovoltaic power station. The method of the invention comprises the following steps: (1) analyzing the influence of grid-connected photovoltaic power station on the voltage of the distribution network system; 2, establishing a mathematical model for optimizing that reactive power compensation of a distribution network of a photovoltaic power station; Step 3, solving the reactive power optimization model of the photovoltaic system by using the quantum particle swarm optimization algorithm. The reactive power optimization method of the photovoltaic system based on the quantum particle swarm algorithm provided by the invention can effectively reduce the active power network loss, obviously increase the voltage value of each node, and enable the distribution network system to run more economically and stably.

The invention discloses a reactive power optimization method based on a stochastic load flow with consideration of photovoltaic power generation and harmonic pollution, which belongs to the technical field of optimization of electric systems and power distribution systems. The reactive power optimization method based on the stochastic load flow with the consideration of the photovoltaic power generation and the harmonic pollution disclosed by the invention considers multiple stochastic factors in running of a power distribution network such as uncertainty of load fluctuations, failure outage of a generator set and randomness of output of a photovoltaic power station, calculates results of the stochastic load flow through Monte Carlo simulation and then carries out reactive power optimization. During the reactive power optimization, a terminal voltage of a generator, the position of a tapping point of an adjustable transformer, a reactive power compensation amount of an reactive power compensation device, and reactive power capacity of the photovoltaic power station are optimized and controlled by a genetic algorithm, chance constraint is carried out to a fundamental voltage of a system node and a total harmonic distortion rate of a node voltage, and reduction of active power losses and the harmonic pollution is considered comprehensively in order to increase economical efficiency and safety of the running of the power distribution network.

The invention discloses a reactive power optimization method based on a stochastic load flow with consideration of photovoltaic power generation and harmonic pollution, which belongs to the technical field of optimization of electric systems and power distribution systems. The reactive power optimization method based on the stochastic load flow with the consideration of the photovoltaic power generation and the harmonic pollution disclosed by the invention considers multiple stochastic factors in running of a power distribution network such as uncertainty of load fluctuations, failure outage of a generator set and randomness of output of a photovoltaic power station, calculates results of the stochastic load flow through Monte Carlo simulation and then carries out reactive power optimization. During the reactive power optimization, a terminal voltage of a generator, the position of a tapping point of an adjustable transformer, a reactive power compensation amount of an reactive power compensation device, and reactive power capacity of the photovoltaic power station are optimized and controlled by a genetic algorithm, chance constraint is carried out to a fundamental voltage of a system node and a total harmonic distortion rate of a node voltage, and reduction of active power losses and the harmonic pollution is considered comprehensively in order to increase economical efficiency and safety of the running of the power distribution network.

The invention discloses a wind power system reactive power planning method based on the golden section cloud particle swarm optimization algorithm. The wind power system reactive power planning method comprises the steps that a reactive power planning mathematic model is built, and a target function is determined; original data of a wind power system is input, and therefore an initial population is formed; all particles are generated randomly, a golden section judging criterion is used for dividing a particle swarm into three parts according to the self-fitness value of the particle swarm, and different inertia weight is set for each part of particles; new positions and speeds of the particles are obtained through the particle swarm optimization algorithm, the particles are divided into three parts and iterated repeatedly according to the method before an the end condition is met, an optimal solution is searched, and therefore reactive power planning of the wind power system is achieved. According to the wind power system reactive power planning method based on the golden section cloud particle swarm optimization algorithm, the node voltage level of the wind power system is effectively improved, network loss of a power network is reduced, the diversity of the particles is kept according to the algorithm, the prematurity phenomenon which easily occurs during optimization searching is avoided, and convergence rate in the optimization searching process is improved. In addition, the wind power system reactive power planning method based on the golden section cloud particle swarm optimization algorithm is small in calculated amount, and higher in operability.

The invention discloses a multi-source reactive power optimization control method for a power system. The multi-source reactive power optimization control method main comprises day-ahead optimization scheduling and intraday optimization correction, wherein the day-ahead optimization scheduling comprises the following steps: building a day-ahead optimization scheduling model according to parameters of the power system, obtaining day-ahead reactive power scheduling plans of a shunt capacitor bank and transformer taps in a power grid by the model, and providing the day-ahead reactive power scheduling plans of the shunt capacitor bank and the transformer taps in the power grid for the intraday optimization correction; the intraday optimization correction is updating scheduling information of the shunt capacitor bank and the transformer taps in the power grid by the day-ahead reactive power scheduling plans in real time; a real-time optimization scheduling scheme of an electric vehicle charging pile for intraday normal operation is obtained through the built optimization module for intraday normal operation or a reactive voltage optimization control scheme for the shunt capacitor bank in intraday fault operation is obtained according to the optimization module for intraday fault operation; and finally the optimization regulation and control of an intraday reactive power source are achieved.

The invention relates to the field of distributed energy resource access, and specifically a power network reconfiguration method for optimizing a distributed energy access point and an access proportion. The method comprises the following steps: adopting an adaptive weight particle swarm optimization algorithm, a Newton-Raphson method and a power distribution network reconfiguration method to perform an optimal reconfiguration on the power network in the presence of distributed energy resources, analyzing two or more access point optimal selection method, access active capacity calculation method and calculation method of system power flow before and after access when the distributed energy resources (wind power, photovoltaic energy) are accessed to a system; and adjusting the wind power and photovoltaic distributed energy resource access points and access proportions, analyzing the impact of different access proportions on the system economy and giving a system optimization measure. The method is applied to an IEEE-14 node model and an IEEE-30 node model, the reconfiguration result is analyzed, and optimum access points and access proportions of two distributed energy resources can be obtained; after a reconfiguration network is optimized, the network loss is the minimum and the reactive power output is reasonable, the economy of the system is improved and the voltage level satisfies the requirement of stable operation.

An optimization control method for a reactive voltage of a wind farm cluster comprises the following steps: determining whether it is required to perform optimization control on a reactive voltage of a wind farm cluster; obtaining adjusting ranges of reactive source devices of wind farms and pooling stations in a cluster area; and establishing and solving a reactive voltage optimization control mathematic model of the wind farm cluster. In the optimization control method for a reactive voltage of a wind farm cluster, a wind farm cluster access point is used as a central voltage control node, and the wind farm integration point bus voltage, the wind farm step-up substation tap, the reactive power output of a reactive compensation device of the pooling station, and the pooling station transformer tap in the cluster area are adjusted; in this way, the central node is ensured to satisfy the control instruction range of a scheduling mechanism, and the stability margin of the static voltage in the cluster area maintains at the maximum and the active power loss maintains at the minimum, thereby improving the security stability during system operation and enhancing the capability of utilization of the wind power.

Embodiments of the present invention provide an improved leapfrogging algorithm-based power grid reactive power optimization method and a device thereof, and relate to the technical field of the power system planning technology. The method and the device are applied to the reactive power optimization of a power distribution network. In this way, the better convergence and the higher degree of optimization are realized. The method comprises the steps of obtaining the control variables of the power distribution network and the state variables of the power distribution network; obtaining a specified number of frog individuals and frog populations corresponding to each of all the specified number of frog individuals; according to the frog populations, obtaining an initial reactive voltage; according to the initial reactive voltage, obtaining the optimum value of a local reactive voltage; and obtaining an optimal solution of a global reactive voltage according to the optimum value of the local reactive voltage. The optimal solution of the global reactive voltage is applied to the reactive power optimization of the power distribution network. The method and the device are used for the reactive configuration of the power distribution network.

The invention discloses a distribution network reactive power optimization method for photovoltaic reactive power partition pricing, which includes proposing a controllable photovoltaic reactive power partition pricing model, with the minimum reactive power comprehensive cost, the minimum active network loss and voltage deviation as the optimization target, Construct active-reactive power optimization model of distribution network including response to PV inverter reactive power partition price, static var compensator SVC dynamic compensation, on-load voltage regulation equipment OLTC tap and capacitor bank switching; adopt second-order cone programming The nonlinear terms in the model are processed by mathematical methods such as the large M method, and finally a mixed integer second-order cone programming model for the coordinated optimization of active and reactive power of the distribution network with controllable photovoltaics under the power market environment is obtained, and the Bund The Sri Lankan decomposition method solves the model segmentation. The invention rationally and coordinately utilizes the reactive power capacity of the photovoltaic inverter and the reactive power support capability of the original discrete equipment of the distribution network, reduces active power network loss, and ensures user voltage quality.

The invention discloses an operation optimization method for a power distribution network comprising a schedulable distributed power supply. The method comprises the following steps: inputting initial values of a line parameter, load level, network topology connection relationship, a distributed power supply connection position, a power factor, reference voltage and reference power according to a given power distribution system comprising the schedulable distributed power supply; establishing a mathematical model for an operation optimization problem of the power distribution network comprising the schedulable distributed power supply according to all the parameters; introducing a variable Xi<ij> to perform indirect description on a branch switch state: when branch ij is disconnected, keeping Xi<ij> to be equal to zero, and when the branch ij is connected, keeping Xi<ij> to be equal to Xi; setting rotating cone constraint according to the network structure and scale; solving the mathematical model for the operation optimization problem of the power distribution network comprising the schedulable distributed power supply, an inequality for performing indirect description on the branch switching state and the rotating cone constraint by using a cone optimization method; and outputting a solving result. According to the method, the economy and the reliability for operation of the power distribution system are further improved, and simultaneous optimization of output power of a plurality of distributed power supplies is realized.