该论文来源于网络,本站转载的论文均是优质论文,供学****和研究使用,文中立场与本网站无关,版权和著作权归原作者所有,如有不愿意被转载的情况,请通知我们删除已转载的信息,如果需要分享,请保留本段说明。 【摘 要】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。 【Abstract】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. 【关键词】微电网;能量优化;膜计算;粒子群算法 【Keywords】micro grid; energy optimization; membrane computing; particle swarm optimization algorithm 【中图分类号】TM732