基于混合型粒子群算法的智能家庭能量管理策略

Home Energy Management Based on Hybrid Particle Swarm Optimization

随着全球能源和环境问题的日益严峻,基于可再生能源的分布式电源已成为目前各国的发展重点。在分布式电源日益增长和智能电网的大前提下,智能家庭能量管理系统得到了更多的关注。介绍了目前存在的智能家庭能量管理策略与智能家庭能量管理系统的系统结构,并提出了采用智能式最优化算法来解决这类优化问题。在多种约束条件下,以家庭运行成本以及负荷平滑程度为目标,采用混合型粒子群算法来求解家庭能量管理问题,并用仿真验证了家庭环境下算法的有效性与经济性。

As the problem concerning global energy and environment becomes increasingly serious,distributed generation,based on renewable energy,has become the focus of many countries for future development. Under the background of the smart grid and growing number of distributed generation,home energy management system（ HEMS） is getting more and more attention. Firstly,this paper introduced some existing home energy management strategies and the system structure of HEMS. Secondly,an intelligent optimization algorithm was proposed to solve the problem of optimization. Under a variety of constraints,this paper adopted hybrid particle swarm optimization to solve the home energy management problem aiming at minimizing operation cost and the degree of load smoothing. Finally,this paper established a simulation to prove the effectiveness and economy of this method.