Genzhu Wu1This email address is being protected from spambots. You need JavaScript enabled to view it., Dongliang Nan1,2, Yu Duan2, Lu Zhang2, Ziming Zhu2, and Xiqiang Chang1
1School of Electrical Engineering, Xinjiang University, Urumqi 830046, Xinjiang, China
2State Grid Xinjiang Electric Power Co., Ltd. Electric Power Science Research Institute, Urumqi 830000, Xinjiang, China
Received: October 17, 2023 Accepted: January 1, 2024 Publication Date: February 6, 2024
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
To address the optimal allocation of virtual inertia as a replacement for rotating inertia in power systems, this paper proposes a virtual inertia optimal allocation method. First, the calculation method for determining the minimum inertia requirement of power systems with high penetration of renewable energy is clarified. Next, considering factors like frequency stability and virtual inertia investment costs, a virtual inertia optimization allocation model is constructed with the goals of minimizing the frequency security index and investment costs, subject to constraints such as critical inertia, rate of change of frequency, and maximum frequency deviation. And the grey wolf algorithm is utilized to solve this model. Finally, the modified WSCC 9-bus system and IEEE 39-bus system are simulated to validate the effectiveness and universality of the proposed model in optimally allocating virtual inertia while balancing frequency stability and investment costs.
Keywords: virtual inertia; critical inertia; frequency stability; investment cost; grey wolf algorithm
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