基于多目标离散粒子群优化算法的微电网重构

Reconfiguration of Microgrid Based on Multi-objective Discrete PSO Algorithm

将多维度精英粒子扰动策略与粒子群优化算法相结合,得到一种多目标离散粒子群优化算法,用于求解微电网重构问题。这一多目标离散粒子群优化算法以粒子的速度信息为概率,由粒子向正方向或负方向移动来更新自身位置信息;通过多维度精英粒子扰动策略,动态调整粒子群跳出陷阱的能力和局部精细搜索能力;引入线路负荷均匀度,作为辅助评价指标。算例求解表明,基于多目标离散粒子群优化算法的搜索效率和可靠性高,收敛性好,适用于微电网重构及其它的多目标离散组合优化问题。

Combining the multi-dimensional elite particle disturbance strategy with the particle swarm optimization algorithm,a multi-objective discrete particle swarm optimistic algorithm was obtained,which is used to solve the problem of microgrid reconfiguration.This multi-objective discrete particle swarm optimization algorithm uses the speed information of the particle as the probability,and the particle updates its own position information by moving in the positive or negative direction.Through the multi-dimensional elite particle perturbation strategy,the ability of particle swarm to jump out of the trap and local fine search capability are dynamically adjusted.Line load uniformity is introduced as an auxiliary evaluation index.The calculation example solution shows that the search efficiency and reliability of the multi-objective discrete particle swarm optimization algorithm are high,and the convergence is good.It is suitable for micro-grid reconfiguration and other multiple target discrete combination optimizations.