Regional distributed generator (DG) maximum penetration level calculation method based on genetic algorithm

Abstract

The invention discloses a regional distributed generator (DG) maximum penetration level calculation method based on a genetic algorithm. The method comprises particular steps: (1) the access type, the number and the access nodes of DGs in a distribution network are determined, and according to historical data of wind power generation and photovoltaic power generation in the region, the maximum output of the DG in each time period in typical days is determined; (2) an objective function for the maximum accessible capacity for DG access and operation constraint conditions are determined, and the constraint conditions comprise equality constraints and inequality constraints; (3) in each time period, the initial access capacity for each node DG is generated through the genetic algorithm; (4) time sequence power flow optimization calculation based on the genetic algorithm is carried out on the access combination; and (5) according to the objective function, the optimal DG access capacity of each access point is determined. The maximum penetration level problem of different types of DGs in conditions of any number and any access position can be solved, and a basis is provided for maximum utilization of DG grid-connected power generation under safe operation conditions.

Description

technical field [0001] The present invention relates to the technical field of grid-connected new energy sources in power systems, and more specifically, to a typical method for calculating the access capacity of distributed power sources in a certain area based on genetic algorithms. Background technique [0002] The proportion of active power loss in the transmission process of power distribution network is higher than that of power transmission network. Therefore, reducing the active power loss of distribution network and saving power is an important issue faced by many power practitioners. With the improvement of distributed power generation technology, connecting distributed power generation in the distribution network has become an important measure for power grid peak regulation, reduction of network loss, and improvement of new energy utilization. Distributed power generation currently includes wind power generation, solar photovoltaic power generation, electric vehi...

AI Technical Summary

Problems solved by technology

However, with a large number of distributed power grids connected to the grid and the proportion of distributed power generation gradually increasing, the capacity of distributed power connected to the grid should be a growing trend. The power grid brings good benefits. With the construction of the power grid in the later stage, the utilization rate of distributed

Images