Optimal configuration scheme of distributed power supply

Abstract

The invention discloses an optimal configuration scheme of distributed power supply. According to the method, the benefits of power distribution operators are mainly considered from a planning perspective; the randomness of wind power generation is considered; a multi-target optimal configuration model, with the minimal active electrical energy loss, the minimal total voltage deviation and the minimal risk cost, of a power distribution network is built; multi-target normalization is realized by a fuzzy set theory; the problem that various sub-targets are different in dimension is not generated any more; the built optimal configuration model is determined by an adaptive mutation particle swarm optimization, so that a mutation operation is introduced; the condition that basic particle swarm optimization easily falls into local optimum is improved; finally, as an example, an IEEE 33 node power distribution system validates that the optimal configuration model of DG and selected adaptive particle swarm optimization (AMPSO) disclosed by the invention; and the obtained simulation result shows that the model and the adaptive particle swarm optimization adopted by the scheme are feasible and effective.

Description

technical field [0001] The invention relates to an optimal configuration scheme of a distributed power supply, which belongs to the technical field of power systems. Background technique [0002] Due to its high efficiency, small investment scale, reduced network loss, flexible power generation methods, diverse energy types, and environmental protection, distributed power sources are increasingly connected to the distribution network for grid-connected operation. Distributed power supply can be installed in the load center to track load changes in a timely manner. Compared with centralized power supply, it is more economical during the peak period of power consumption. The joint operation of distributed power supply and centralized power supply can save power transmission and transformation investment, stabilize voltage, Reduce energy consumption, improve power quality, power supply reliability, flexibility and security of power system operation. [0003] The position and a...

AI Technical Summary

Problems solved by technology

[0004] However, the traditional distributed power optimization configuration generally only considers a single aspect of economy or technology, and cannot comprehensively consider multiple goals, which has certain limitations.

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