Performance Enhancing Control of Frequency for Future Power Systems With Strong Uncertainties

Shangguan, Xing-Chen, Wei, Chen-Guang, Zhang, Chuan-Ke, He, Yong and Jiang, Lin ORCID: 0000-0001-6531-2791 (2024) Performance Enhancing Control of Frequency for Future Power Systems With Strong Uncertainties IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 20 (10). pp. 12439-12449. ISSN 1551-3203, 1941-0050

Text IEEE TII 0731-clear version.pdf - Author Accepted Manuscript Available under License Creative Commons Attribution. Download (3MB) | Preview

Abstract

The future power systems with renewable energy sources (RESs) and electric vehicles (EVs) are usually subject to strong uncertainties in system parameters, communication network, and disturbances, which may severely degrade the frequency control performance. This article proposes a performance enhancing load frequency control (LFC) scheme for future power systems with strong uncertainties based on the Kalman-filter (KF) control compensation method. First, the LFC of a multiarea interconnected power system (MAIPS) with RESs and EVs is conceptualized as a linear stochastic and discrete model. Then, KF is introduced to evaluate the unmeasurable states of the LFC, so as to design an additional KF-based state feedback control law. The KF-based control loop serves as compensation for the original controller of the LFC system. Next, an optimal compensation control gain of the KF-based control loop is derived based on a differential optimal calculation method to enhance the control performance of the LFC of MAIPS under strong uncertainties. Finally, simulation results are conducted on a typical three-area LFC systems that integrate RESs and EVs, which demonstrate that the proposed control strategy can provide better control performance and robustness than the original LFC strategy when the systems are subject to strong uncertainties.

Item Type:	Article
Uncontrolled Keywords:	Uncertainty, Frequency control, Stochastic processes, Power system stability, Measurement uncertainty, Load modeling, Generators, Future power systems, Kalman filter (KF), load frequency control (LFC), strong uncertainties
Depositing User:	Symplectic Admin
Date Deposited:	22 Aug 2024 10:22
Last Modified:	16 Jun 2026 17:02
DOI:	10.1109/TII.2024.3424288
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3184025
Disclaimer:	The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate.