基于进化算法的离网混合能源系统控制与优化  

System Control and Optimization of Off Grid Hybrid Energy System based on Evolutionary Algorithm

作　　者：马卫武[1] 周若于 方松[1] 薛辛培 MA Wei-wu;ZHOU Ruo-yu;FANG Song;XUE Xin-pei(School of Energy Science and Engineering,Central South Universit)

机构地区：[1]中南大学能源科学与工程学院

出　　处：《建筑热能通风空调》2018年第11期1-5,54,共6页Building Energy & Environment

摘　　要：针对偏远农村地区电力发展薄弱,自然资源丰富的特点,提出了集光伏、风电、沼气发电于一体的多能互补混合可再生能源系统。以经济性和可靠性为目标,建立了混合系统的数学优化模型和控制策略,采用差分进化算法优化了该混合系统的各部件容量和运行状态,结果证明了该方案的可行性。The remote rural areas have rich natural resources but the development of electric power is weak. A multi energy complementary and renewable energy system which integrates photovoltaic power generation, wind power generation and biogas generation is proposed. With the goal of economical efficiency and reliability, the mathematical optimization model and control strategy of the hybrid system are established.By using the differential evolution algorithm, the components capacity and operation state of the hybrid system are optimized. The results prove the feasibility of the scheme.

关 键 词：离网混合能源系统 差分进化算法 模型 控制策略 评价 

分 类 号：TK01[动力工程及工程热物理] TM61[电气工程—电力系统及自动化]