A fuzzy inference based method for evaluating coordinated generation-grid-load-storage control ability in receiving-end power system
| Autor: | Lu Yang, Changfeng Liao, Yijia Cao, Yong Li, Yi Tan, Guo Siyuan, Yuanyang Chen |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Control (management) 0211 other engineering and technologies k-means clustering 02 engineering and technology 010501 environmental sciences Grid 01 natural sciences Energy storage Power (physics) Reliability engineering Environmental sciences Electric power system Electricity generation GE1-350 021108 energy Energy (signal processing) 0105 earth and related environmental sciences |
| Zdroj: | E3S Web of Conferences, Vol 252, p 01003 (2021) |
| ISSN: | 2267-1242 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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