A Distributed Power Planning Method Based on Improved Orthogonal Optimization Swarm Intelligence Algorithm

Abstract

A distributed power supply planning method based on an improved orthogonal optimization swarm intelligence algorithm comprises the steps of building a multi-target optimization model by taking active power loss, investment running cost and load point voltage deviation quantity of a system as optimization indexes; initializing original data of an input node network; building an initial orthogonal table L(b<c>), and calculating a local optimal value of the orthogonal table; and calculating a variance proportion Rho of each variable in variance analysis of the orthogonal table, building a new orthogonal table according to the variance proportion, and repeatedly performing iterative optimization until an optimal solution is found. The distributed power supply planning method based on the improved orthogonal optimization swarm intelligence algorithm have obvious effects of reducing active power loss and system voltage deviation quantity during distributed power supply planning, a search direction and a search range of further orthogonal optimization are provided according to the variance proportion analysis, so that the search optimization calculation quantity and the search time are reduced, and the efficiency and the availability of a configuration optimization algorithm of a microgrid are improved.

Description

technical field [0001] The invention relates to a distributed power supply planning method based on an improved orthogonal optimization group intelligent algorithm, and relates to the field of micro-grid planning. Background technique [0002] With the accelerated development of the global economy, energy shortages and environmental pollution have become huge challenges facing society today. Due to the continuous growth of power load, the aging of the power system structure, the bottleneck of energy utilization efficiency, the user's requirements for high-standard power quality, and environmental protection issues, it is urgent to develop clean and non-polluting renewable energy power generation methods as an effective alternative to traditional centralized power generation. Supplementary, distributed power generation technology came into being. Distributed power generation refers to a system in which the power generation system is arranged in a small-scale (small-scale mod...

AI Technical Summary

Problems solved by technology

Scholars have proposed many improved heuristic intelligent algorithms, and the search for the optimal solution interval is realized by designing orthogonal experiments, such as the orthogonal genetic algorithm, the cellular differential evolution algorithm of the orthogonal crossover operator, and the orthogonal immune cloning particle swarm optimization algorithm. etc., but these algorithms only design orthogonal experiments in the population initialization process, and do not fully utilize the search function of orthogonal design

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