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A fuzzy inference based method for evaluating coordinated generation-grid-load-storage control ability in receiving-end power system

Authors :
Yang Lu
Chen Yuanyang
Cao Yijia
Liao Changfeng
Tan Yi
Li Yong
Guo Siyuan
Source :
E3S Web of Conferences, Vol 252, p 01003 (2021)
Publication Year :
2021
Publisher :
EDP Sciences, 2021.

Abstract

With the rapid development of the flexible loads and energy storage, it is of great scientific and engineering value to improve safety and economy of the receiving-end power system with HVDC feed-in power by the coordinated generation-grid-load-storage control. In this paper, a fuzzy inference based method is proposed to assess the coordinated control ability of generation-grid-load-storage control for the receiving-end power system with HVDC feed-in power. First of all, the evaluation indexes are constructed with consideration of the coordination and interaction of power generation, power grid, power load and energy storage. Both subjective weight and objective weight are considered to calculate the comprehensive weight for each evaluation index. Furthermore, the Kmeans clustering based method is proposed to the grading in each evaluation index. Finally, the coordination control ability of the modified IEEE 57-bus system in different states is evaluated by the proposed method.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English, French
ISSN :
22671242
Volume :
252
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.78295c6e5107408ea5f8c4bca2a183cd
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/202125201003