基于多目标人工蜂群算法的微电网优化调度  

Optimal Dispatch of Micro-grid Based on Multi-objective Artificial Bee Colony Algorithm

作　　者：王海燕[1] 王旭佳[1] 秦健[1] 

机构地区：[1]上海电力学院自动化工程学院,上海200090

出　　处：《电器与能效管理技术》2016年第19期57-62,共6页Electrical & Energy Management Technology

摘　　要：针对微电网系统中微电源出力优化问题,在满足系统运行约束的条件下,建立了包含系统运行费用和排污处理费用的微电网多目标优化调度模型,提出采用多目标人工蜂群算法(MOABC)进行求解。将MOABC应用到典型微电网实例中,验证了算法的有效性。与其他多目标算法进行对比,结果显示,MOABC的运行费用和排污处理费用更少,具有更好的收敛特性和更宽广的Pareto前沿。In order to deal with the optimal problem of output of microsources in the Micro-grid,after meeting the constraints from the system,this paper established a multi-objective optimal dispatch model of Micro-grid which contains operating costs and pollution disposal costs. Then multi-objective artificial bee colony algorithm( MOABC)was used to solve the model. In the proposed algorithm,an external archives of non-dominated solutions is kept which is updated at each iteration,thus generating Pareto optimal solutions in the end of iteration,which provide various dispatch strategies for decision-makers. MOABC was applied to a typical Micro-grid,and its rationality was verified. Meanwhile,compared with other existing multi-objective algorithms,the result shows that the MOABC can obtain better dispatch results with less operating costs and pollutant missions costs,and MOABC outperforms other existing multi-objective algorithms in terms of convergence and diversity Pareto front.

关 键 词：微电网 多目标优化调度模型 多目标人工蜂群算法 PARETO 

分 类 号：TM73[电气工程—电力系统及自动化]