Virtual Inertia Optimization Allocation Based On Grey Wolf Algorithm

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 renewa...

Full description

Saved in:
Bibliographic Details
Published in淡江理工學刊 Vol. 27; no. 11; pp. 3523 - 3532
Main Authors Genzhu Wu, Dongliang Nan, Yu Duan, Lu Zhang, Ziming Zhu, Xiqiang Chang
Format Journal Article
LanguageEnglish
Published 淡江大學 01.01.2024
Subjects
frequency stability
grey wolf algorithm
critical inertia
virtual inertia
investment cost
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:2708-9967
DOI:10.6180/jase.202411_27(11).0009