上海交通大学学报(自然版) ›› 2014, Vol. 48 ›› Issue (09): 1231-1238.
张翔1,程浩忠1,方陈2,张沈习1
收稿日期:2013-09-18
出版日期:2014-09-30
发布日期:2014-09-30
基金资助:国家科技支撑计划项目(2013BAA01B04),国家自然科学基金项目(51261130473) 资助
ZHANG Xiang1,CHENG Haozhong1,FANG Chen2,ZHANG Shenxi1
Received:2013-09-18
Online:2014-09-30
Published:2014-09-30
摘要:
在考虑主动管理模式条件下,建立了多目标双层分布式电源规划模型.其中,上层规划以分布式电源年投资运行成本和网损最小为目标,下层规划以分布式电源出力切除量最小为目标,考虑风电光伏等间歇式能源出力的随机性及负荷的不确定性,利用基于拉丁超立方抽样的蒙特卡洛模拟方法对风速、光照强度和负荷进行抽样,利用非支配排序遗传算法对上层规划模型进行求解,采用原对偶内点法对下层规划模型进行求解,以得到问题的Pareto最优解集,从而避免了传统加权求解方法中权重确定的主观性.同时,通过对33节点配电网算例的仿真和分析,验证了所建模型的合理性和算法的有效性.
中图分类号:
张翔1,程浩忠1,方陈2,张沈习1. 考虑主动管理模式的多目标分布式电源规划[J]. 上海交通大学学报(自然版), 2014, 48(09): 1231-1238.
ZHANG Xiang1,CHENG Haozhong1,FANG Chen2,ZHANG Shenxi1. Multi-Objective Distributed Generation Planning Considering Active Management[J]. Journal of Shanghai Jiaotong University, 2014, 48(09): 1231-1238.
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