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

Autor: Jie Duan, Xiaodan Wang, Yajing Gao, Yongchun Yang, Wenhai Yang, Hong Li, Ali Ehsan
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Applied Sciences, Vol 8, Iss 9, p 1484 (2018)
Druh dokumentu: article
ISSN: 2076-3417
DOI: 10.3390/app8091484
Popis: 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.
Databáze: Directory of Open Access Journals