The Dynamic Multi-objective Optimal Dispatch of Grid-connected Micro grid

被引：0
|
作者：
Luo Ping [1 ]
Sun Zuoxiao [1 ]
Zhu Shuncun [1 ]
Wu Chenxi [1 ]
Chen Qiaoyong [2 ]
机构：
[1] Hangzhou Dianzi Univ, Coll Automat, Hangzhou 310018, Zhejiang, Peoples R China
[2] Hangzhou Power Supply Co, Hangzhou 310020, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
关键词：
Micro grid; day-ahead optimal dispatch; Pareto front; multi-objective optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a dynamic multi-objective day-ahead optimal dispatch model is constructed to minimize the operating cost and the environmental cost of the grid-connected micro grid which including wind power, photovoltaic power generation, battery and diesel generator. The optimal parameters are the charge/discharge value of battery and the output power of the diesel generator in 24 hours. In order to solve the nonlinear optimal problem with constraints, the multi-objective particle swarm optimization algorithm is adopted to get the Pareto front of the objective functions. The optimal dispatch schemes according to the lowest environmental cost and the lowest operating cost in the Pareto front are discussed respectively for two typical weather sceneries.
引用
收藏
页码：2804 / 2809
页数：6
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