Multi-target distributed power source site selection constant volume method considering power supply reliability

Abstract

The present invention provides a multi-target distributed power source site selection constant volume method considering power supply reliability. The method comprises the steps of: performing calculation of a plurality of target functions of a distributed power source site selection constant volume, integrating the target functions to establish a target function of the distributed power source site selection constant volume considering the power supply reliability, combining a distribution network power balance constraint condition, a distributed power source output constraint condition and adistribution network node voltage constraint condition to establish an optimization model of the multi-target distributed power source site selection constant volume considering the power supply reliability, employing the particle swarm optimization and the non-dominated sorting coevolution algorithm to perform model solution, and obtaining a distributed power source site selection constant volume optimization scheme of multiple targets. The defects are overcome that a current site selection constant volume algorithm is not practical to perform multi-target and simple weighing, the multi-target distributed power source site selection constant volume method is simple in calculation and fast in rate of convergence, improves the scientificity of the distributed power source site selection constant volume scheme, relieves the influence of the distributed power source for the distribution network operation and improves the economical efficiency of the distributed power source.

Description

technical field [0001] The invention relates to a method for site selection and capacity determination of a multi-objective distributed power supply in consideration of power supply reliability, and belongs to the technical field of distributed power supplies. Background technique [0002] The penetration rate of distributed power in the distribution network is increasing day by day. On the one hand, it plays a supporting role in the distribution network voltage, but at the same time, it also adversely affects the power supply reliability and power quality of the distribution network. The magnitude of this impact is closely related to the location and capacity of distributed power access. A scientific distributed power generation site selection and capacity determination scheme is of great significance for alleviating the impact of distributed power generation on the operation of the distribution network and improving the economy of distributed power generation. [0003] Fr...

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Problems solved by technology

Most of the current distributed site selection and capacity determination schemes are optimized for the economic factors in the distribution network, mainly considering economic indicators such as network loss costs, DG costs, power supply costs, and network upgrade costs, and less consideration is given to power supply reliability , and the existing site selection and capacity determination schemes mainly weight and normalize the sub-objectives describing the economic benefit indicators into a single objective function, and perform single-objective optimization solution, which is inconsistent with the actual situation

In addition, commonly used solving algorithms such as genetic algorithm have slow convergence speed, low precision, and easy to fall into local optimum problems; particle swarm optimization algorithm can only optimize a single objective

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