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ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 |
doi: 10.3389/fenrg.2024.1503086
This article is part of the Research Topic Integrated Energy System Planning, Optimization, Trading and Benefit Assessment View all 10 articles
A Two-Stage Flexible Scheduling Method for Power Systems with Wind Power Considering the Coordination of Multiple Resources
Provisionally accepted- 1 中国南方电网电力调度控制中心, 广州市, China
- 2 南方电网科学研究院, 广州市, China
The intermittency and uncertainty of renewable energy generations such as wind power have brought great challenges to the secure and stable operation of power grids. To accommodate a high penetration of renewable energy, it’s vital to coordinate multi flexible resources to deal with the intermittency and uncertainty of renewable energy and to ensure the network security. In this paper, we propose a two-stage stochastic flexible dispatching method for power system with large-scale wind power, which considers the coordination of unit commitment, optimal transmission switching and optimal control of phase-shifting transformers in a unified framework. Concerning the grid side, the flexibility is improved through phase-shifting transformer regulation and optimal transmission switching. Referred to the source side, the flexibility is fully exploited through two-stage stochastic unit commitment. In the day-ahead scheduling stage, the transmission topology optimization and the unit commitment schemes are determined based on the predicted load demand and renewable energy output. In the real-time dispatching stage, the phase-shifting transformers and the unit output are adjusted and dispatched based on the possible scenarios of load demand and renewable energy output. The effectiveness of the proposed method is verified through the case studies for the IEEE RTS-24 system and IEEE 118-bus system.
Keywords: renewable energy generation, Unit commitment, optimal transmission switching, Phase-shifting transformer, power systems
Received: 28 Sep 2024; Accepted: 05 Dec 2024.
Copyright: © 2024 Lei, Zhao, Mei, Zhen, Gao and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hongyue Zhen, 南方电网科学研究院, 广州市, China
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