Site selection and capacity determining method for orderly connecting roof photovoltaic power station into power distribution network

Abstract

The invention discloses a site selection and capacity determining method for orderly connecting a roof photovoltaic power station into a power distribution network. The method comprises the followingsteps that: on the basis of the connection amount Ns of roof photovoltaic power stations, establishing an installation scheme matrix of which the dimension is 2Ns, wherein the first Ns elements of theinstallation scheme matrix are the rated capacity of the roof photovoltaic power station, and the last Ns elements are the connection positions of the roof photovoltaic power station; optimizing a multi-objective optimal configuration model for orderly connecting the roof photovoltaic power stations into a rural power distribution network; classifying all individuals in the installation scheme matrix; and screening elite individuals, carrying out crossover and mutation until a standard Pareto leading edge curve is obtained, and screening an optimal configuration scheme from the installation scheme individuals of the Pareto leading edge curve. By use of the method, the problems that distributed power generation resources are wasted since a large scale of roof photovoltaic power stations isconnected into the rural power distribution network to cause unordered distribution at present can be solved, and an instructive function is performed for the economic operation of the power distribution network and the reliable power suply of a distributed power supply.

Description

technical field [0001] The invention belongs to the technical field of power quality optimization of a distribution network, and in particular relates to a method for orderly connecting roof photovoltaics to a distribution network for site selection and capacity determination. Background technique [0002] With the continuous improvement of photovoltaic power generation technology, the continuous reduction of costs, and the introduction of a series of national policies to promote the development of photovoltaic power plants, the whole society's sense of identity for the photovoltaic power generation industry has been deepened, making it possible for users to join distributed photovoltaic power generation. Due to the large number of idle roofs and open spaces in rural areas, there is great potential for building rooftop photovoltaic power plants. Considering the development of photovoltaic energy in the future, the limitation of installation conditions in urban areas, and the...

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Problems solved by technology

[0003] The multi-objective optimal configuration of rooftop photovoltaic power stations connected to rural distribution networks is a complex nonlinear multi-objective optimization problem. The traditional analytical method converts the multi-objective function into a single objective function, which has low precision and high computational complexity. Currently, NSGA- The II algorithm is very mature and has achieved good results in nonlinear multi-objective optimization problems

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