电力系统保护与控制2016，Vol.44Issue(13)：117-122,6.DOI:10.7667/PSPC151381
基于鸟群算法的微电网多目标运行优化
Multi-objective operation optimization of micro grid based on bird swarm algorithm
曾嶒 1彭春华 1王奎 1张艳伟 1张明瀚1
作者信息
- 1. 华东交通大学电气与电子工程学院，江西南昌 330013
- 折叠
摘要
Abstract
In order to find the best scheduling strategy in the operation of the micro grid, it is easy to fall into local optimal and difficult to find the global optimal solution by using traditional intelligent algorithm to solve the micro grid optimization problem, thus using a bio-inspired method named Bird Swarm Algorithm to solve a multi-objective optimization model for micro grid taking operation cost and environmental pollution as objectives. Thealgorithm puts forward the corresponding strategies of population renewal imitating the birds’ foraging behavior, vigilance behaviorand flight behavior. It has the advantages in high efficiency as Particle Warm Optimization (PSO) and stability as Differential Evolution algorithm (DE). It shows strong global and local search ability and high robustness when compared with PSO and DE.关键词
鸟群算法/粒子群算法/微分进化算法/微电网/多目标优化Key words
bird swarm algorithm/particle swarm optimization/differential evolution algorithm/micro grid/multi-objective optimization引用本文复制引用
曾嶒,彭春华,王奎,张艳伟,张明瀚..基于鸟群算法的微电网多目标运行优化[J].电力系统保护与控制,2016,44(13):117-122,6.
