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

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.