Bio‐inspired hybrid BFOA‐PSO algorithm‐based reactive power controller in a standalone wind‐diesel power system
With an increase in the penetration of renewable energy sources such as wind into the power systems, the operation and control of voltage/reactive power have become more complicated and challenging than ever. As a result, the reactive power imbalance between reactive power generation and demand instigates a reduction in system voltage stability. To deal with the aforesaid scenarios, automatic voltage regulator (AVR) and static synchronous compensator (STATCOM) are incorporated to curtail the voltage deviations in a standalone wind‐diesel power system. In this article, a hybrid bacterial foraging optimization algorithm‐particle swarm optimization (hBFOA‐PSO) algorithm is proposed for optimizing the PI controller parameters of AVR and STATCOM to further improve the system voltage/reactive power performance. Additionally, H∞‐loop shaping technique is designed to analyze the performance indexes (ie, robustness and stability) of the presented controller with the aim of handling the unstructured uncertainties from generation and loading situation. In order to present the efficiency of the proposed controllers, the performance of the hBFOA‐PSO controller is compared with the performance of the BFOA, PSO, and modified grey wolf optimization (MGWO)‐based PI controllers for the same wind‐diesel system. The dynamic responses of the wind‐diesel system for different disturbance cases have been investigated in the MATLAB/SIMULINK environment.
This is the peer reviewed version of the following article: Wagle R, Sharma P, Charu C, Gjengedal T, PRADHAN C. Bio‐inspired hybrid BFOA‐PSO algorithm‐based reactive power controller in a standalone wind‐diesel power system. International Transactions on Electrical Energy Systems. 2021, which has been published in final form at https://doi.org/10.1002/2050-7038.12778. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.