基于粒子群膜优化算法的微网能量优化方法研究

Research on Micro Grid Energy Optimization Method Based on Particle Swarm Optimization Algorithm

在微网稳定运行的情况下,进一步考虑微网的能量优化可以有效地实现微网的最优运行。论文将膜计算模型与粒子群算法结合,通过仿真验证所提粒子群膜优化算法(Particle Swarm Optimization Based on P System,PSOPS)具有更强的计算能力,寻优结果更佳。最后,将粒子群膜优化算法应用于微电网的能量优化问题,计算结果表明,论文所提算法比粒子群算法更加精准可靠,有效实现了微网发电成本最优以及污染物排放治理最优。

Under the condition of stable operation of the micro grid,further consideration of energy optimization of the micro grid can effectively realize the optimal operation of the micro grid.Therefore,this paper combines membrane computing model with particle swarm optimization(PSO),and proposes an improved method,called particle swarm optimization based on P system(PSOPS).Then,the stronger computing power and better optimization ability of PSOPS have been verified through simulation.Finally,the PSOPS is applied to the energy optimization of the micro grid.The calculation results show that the proposed algorithm in this paper is more accurate and reliable than the PSO algorithm.At the same time,it can effectively realize the optimal power generation cost of the micro grid and the optimal pollutant emission control.