Network topology identification based high-permeability photovoltaic distributed voltage control method

Abstract

The invention relates to a scene analysis method and considerable voltage adjustment strategy based distributed photovoltaic optimization planning method. The method comprises the steps of 1, carrying out scene analysis by utilizing the scene analysis method, adopting a high-dimensional vector to represent the real running states of a distributed power source and a load, and realizing scene compression through a clustering method; and 2, building a distribution network distributed power source double-layer optimization planning method, wherein the step 2 comprises the sub-steps of (1) planning to build multiple targets by using minimum network damage of a distribution network and the maximum profits of a distributed power source operator at the upper layer, and planning the access capacity of the distributed power source; and (2) adopting different scheduling strategies in a scheduling model in the lower layer, comparing unused voltage adjustment strategies, the adopted voltage adjustment strategy and a voltage adjustment strategy with reactive compensation, and planning the distributed power source.

Description

technical field [0001] The invention relates to a high penetration photovoltaic distributed voltage control method based on network topology identification. Background technique [0002] The growing demand for energy and increasingly severe environmental problems have promoted the large-scale development and application of photovoltaic power generation technology. However, with the increase in the penetration rate of distributed photovoltaics, the operation and control of power systems are also facing many challenges, among which the problem of voltage control is particularly significant. [0003] According to the current research results, there are two types of methods to solve the voltage problem caused by the access of distributed power sources. One is centralized control, aiming at global optimization of the system and uniformly deploying controllable resources, but there are many shortcomings: large amount of measurement data, long decision-making time, heavy communica...

AI Technical Summary

Problems solved by technology

One is centralized control, aiming at global optimization of the system and uniformly deploying controllable resources, but there are many shortcomings: large amount of measurement data, long decision-making time, heavy communication burden and high investment cost

However, the existing distributed voltage control strategies have certain defects and deficiencies:

This kind of distributed voltage control strategy ignores the reactive power coordination potential among photovoltaic nodes, which makes the photovoltaic voltage regulation capacity limited and easily causes waste of photovoltaic power generation resources.

[0006] (2) In terms of photovoltaic reactive power coordination compensation and active power reduction, the optimization of most distributed control strategies is weak

The optimization of reactive power coordination compensation and active power reduction among photovoltaic nodes is not strong, resulting in excessive photovoltaic reactive power compensation, increasing line loss and excessive photovoltaic active power reduction, which greatly r

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