Distributed photovoltaic power distribution network planning method based on improved particle swarm

Abstract

The invention provides a distributed photovoltaic power distribution network planning method based on an improved particle swarm. The method comprises the steps of building a power distribution network structure model and initializing particle swarm algorithm parameters; determining a clustering result according to load information of each node to generate an initial swarm; calculating distributedphotovoltaic total daily output data of each node of a power distribution network in each period of time by sampling a photovoltaic typical daily output curve and a regional typical daily load curve;building a target function model according to the loss of the power distribution network and a voltage of each node; for particles in the swarm, performing power flow and network loss calculation byapplying a forward and backward substitution method to build an optimization model; updating the positions of the particles according to preset parameters through an iterative result, and re-evaluating the fitness values of the particles; and if the particles reach a maximum iterative frequency condition, outputting an optimal solution, namely, the current optimal solution of the swarm at the endof iteration, otherwise, re-planning an installation scheme. According to the method, more distributed photovoltaic power generation systems can be installed at grid connection points under the condition that the voltage does not exceed a limit, so that the electricity utilization requirements are met.

Description

technical field [0001] The invention belongs to the technical field of non-effectively grounded distribution networks, and in particular relates to a distributed photovoltaic distribution network planning method based on improved particle swarms. Background technique [0002] According to the "Renewable Energy Development "2016-2020" Plan" issued by the National Development and Reform Commission in 2016 and the "Guiding Opinions on Energy Work in 2018" issued by the National Energy Administration in 2018, distributed household rooftop photovoltaic power generation has become a One of the main means for the proportion of renewable energy consumption is an important measure for my country to achieve the goal of 110 million kilowatts of solar power grid-connected installed capacity in 2020. [0003] Due to the mismatch between peak and trough periods of typical residential loads and light periods, the grid connection of a high proportion of household rooftop photovoltaics will c...

AI Technical Summary

Problems solved by technology

However, the solution planning model in the existing methods often assumes that the load is distributed along the feeder according to a certain law, which is inconsistent with the random distribution characteristics of the load in the actual distribution network, and cannot meet the needs of lean planning of distributed photovoltaic power generation in the distribution network.

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