Multi-Objective Virtual Power Plant Construction Model Based on Decision Area Division

被引:12
作者
Duan, Jie [1 ]
Wang, Xiaodan [1 ]
Gao, Yajing [2 ]
Yang, Yongchun [1 ]
Yang, Wenhai [3 ]
Li, Hong [1 ]
Ehsan, Ali [4 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Baoding 071003, Peoples R China
[2] China Elect Council, Elect Power Dev Res Inst, Beijing 100031, Peoples R China
[3] HUANENG Power Int INC, Beijing 100031, Peoples R China
[4] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2018年 / 8卷 / 09期
关键词
virtual power plant; decision area; improved bat algorithm; multi-objective optimization; SCHEDULING OPTIMIZATION MODEL; ENERGY STORAGE-SYSTEM; DEMAND RESPONSE; UNCERTAINTIES; ALGORITHM;
D O I
10.3390/app8091484
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Virtual power plant (VPP) is an effective technology form to aggregate the distributed energy resources (DERs), which include distributed generation (DG), energy storage (ES) and demand response (DR). The establishment of a unified and coordinated control of VPP is an important means to achieve the interconnection of energy internet. Therefore, this paper focuses on the research of VPP construction model. Firstly, a preliminary introduction on all kinds of the DERs is carried out. According to the relevant guidelines, the decision area of the VPP is carefully divided, and the decision variables representing the various resources in the area are determined. Then, in order to get a VPP with low daily average cost, good load characteristics, high degree of DG consumption and high degree of resource aggregation, a multi-objective VPP construction model based on decision area division is established, and various constraints including geographic information are considered. The improved bat algorithm based on priority selection is used to solve this model. Finally, the correctness and effectiveness of the model are verified by an example.
引用
收藏
页数:20
相关论文
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