Volume 22, Issue 3 (JIAEEE Vol.22 No.3 2025)
Journal of Iranian Association of Electrical and Electronics Engineers 2025, 22(3): 146-155 |
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Moloudi M, Tarimoradi H. Optimum control of voltage and frequency fluctuations of the connected microgrid in the conditions of severe disturbances using the combined PSO-ANN algorithm. Journal of Iranian Association of Electrical and Electronics Engineers 2025; 22 (3) :146-155
URL: http://jiaeee.com/article-1-1717-en.html
URL: http://jiaeee.com/article-1-1717-en.html
Faculty of engineering, University of Kurdistan, Sanandaj
Abstract: (1557 Views)
In recent times, the use of renewable resources has expanded. However, due to their inherent nature, these resources are unstable (transient), leading to a decrease in power quality. Additionally, the unpredictability of renewable sources poses severe and unknown challenges. Energy storage systems play a fundamental role in the structure of microgrids. To address the mentioned problems, optimal utilization and expansion of energy storage systems can be a suitable option. In this article, a novel control strategy for battery energy storage systems is proposed. The goal of this control system is to recover voltage and frequency in the microgrid, thereby enhancing its power quality, especially in the presence of a wide spectrum of disturbances. To optimize the control system, the Particle Swarm Optimization (PSO) algorithm and an Artificial Neural Network (ANN) are employed. The controller coefficients are tuned using ANN training with a set of input-output data during the optimization process. Under various disturbances, the PSO algorithm dynamically adjusts the controller parameters online.
Type of Article: Research |
Subject:
Power
Received: 2024/05/2 | Accepted: 2024/08/29 | Published: 2025/12/12
Received: 2024/05/2 | Accepted: 2024/08/29 | Published: 2025/12/12
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