基于多目标纵横交叉算法的分布式电源规划  

Plan of distributed generation based on multi-objective crisscross optimal algorithm

作　　者：魏明磊[1] 孟安波[1] 黄海涛[1] 苏弘霖 洪俊杰[1] 

机构地区：[1]广东工业大学自动化学院,广州510006

出　　处：《黑龙江电力》2016年第5期412-417,共6页Heilongjiang Electric Power

基　　金：国家自然科学基金资助项目(51407035)

摘　　要：考虑分布式电源优化配置的经济指标,建立了以有功损耗、电压稳定裕度和投资运行成本为目标的多目标分布式电源规划数学模型。针对纵横交叉算法优异性能,引入pareto概念、精英保留策略以及非支配排序等方法进行多目标改进,提出多目标纵横交叉算法(Multi-Objective Crisscross Optimal Algorithm,MO-CSO)。以IEEE 33节点系统结合建立的模型进行实验仿真,结果表明,该算法的优化结果准确、合理,算法收敛精度高、收敛速度快,能够得到分布式电源的接入位置和接入容量的pareto最优前沿,为多目标分布式电源规划提供了良好的理论依据。Consider the economic indicators of the optimal allocation of distributed generation,this paper established the mathematical model of distributed generation planning taking power loss,voltage stability margin and investment operating cost as the objectives. Aiming at the superior performance of crisscross optimal algorithm,it brought in the idea of pareto,elitism and non- dominated sorting to get the multi- objective crisscross optimal algorithm. The result ofexperimental simulation of the model established and the IEEE33 node system shows that the algorithm proposed enjoys accurate and resonable optimization,high convergence precision and speed,which enable to get the pareto optimal solution of location and penetration of distributed generation,providing a good theoretical basis for multi- objective distributed generation planning.

关 键 词：分布式电源 多目标纵横交叉算法 虚拟适应度实验 PARETO前沿 

分 类 号：TM744[电气工程—电力系统及自动化]