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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1501711
This article is part of the Research Topic Advanced Modeling and Methods for Renewable-dominated Power Systems Operations under Multiple Uncertainties View all 11 articles

Reserve allocation of high-penetration renewable energy grids considering frequency security

Provisionally accepted
Fang Liu Fang Liu 1Yunche Su Yunche Su 1Yang Liu Yang Liu 1Dawei Chen Dawei Chen 2*Wei Chen Wei Chen 1Li Kuang Li Kuang 2
  • 1 State Grid Sichuan Economic Research Institute, Chengdu, China
  • 2 Hunan University, Changsha, China

The final, formatted version of the article will be published soon.

    As the penetration rate of renewable energy in the power grid continues to rise, the reserve criteria for traditional power grids dominated by synchronous generators (SGs) have difficulty meeting system frequency security requirements. This study proposes a frequency security constrained optimization approach for the allocation of reserve capacity in high-penetration renewable energy grids that utilize multitype reserve resources, including SGs and nonsynchronous units, to address the frequency security issue. First, strategies and models for expanding the sources of frequency regulation reserves are analyzed, including various types of renewable energy generation, such as wind turbine (WT) curtailment and the combination photovoltaic (PV) cells and battery storage. A refined reserve criterion is then proposed that considers multidimensional evaluation indices from both operational economy and frequency security aspects. Finally, a bilevel optimization model for reserve capacity allocation on multiple timescales that considers frequency security is constructed. The rationality and effectiveness of the proposed reserve allocation scheme were verified using a practical power grid in Southwest China.

    Keywords: reserve, Frequency security, Primary frequency regulation, optimization, allocation

    Received: 25 Sep 2024; Accepted: 15 Nov 2024.

    Copyright: © 2024 Liu, Su, Liu, Chen, Chen and Kuang. 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: Dawei Chen, Hunan University, Changsha, China

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