An application of nature inspried algorithm based dual-stage frequency control strategy for multi micro-grid system

Abstract

In this article, a dual-stage frequency control strategy is proposed to maintain the reliable operation of an islanded interconnected micro-grid system. The controller helps micro-grid in frequency stabilization and maintains the load demand balance during abnormal operating conditions. The multi-microgrid system comprises a biodiesel generation unit wind turbine, redox flow battery (RFB) in area-1 and BDG, organic Rankine cycle-based solar thermal power unit, and a capacitive energy storage system (CES) unit in area-2. The CES maintains the transient frequency deviation and RFB fulfills the long-term power demand during abnormal conditions. In this proposed work, a novel and efficient optimization technique entitled modified African Buffalo Optimization (MABO) has been implemented for optimal tuning of PIDF, PID-PDF, and PDF controllers. Further, the performance of MABO is compared with recently deployed optimization techniques i.e. Corrected Moth Search Optimization (CMSO) and African Buffalo Optimization (ABO). Eigen-values stability analysis and bode plot analysis are considered to validate the efficacy of the proposed controller design. In addition, a sensitivity analysis has been executed to manifest the potential of the proposed strategy for a wide variation in micro-grid specifications, magnitude, and fluctuation of step/random power load disturbance. The various performance analyses validate the dominance of the proposed approach in damping frequency oscillations during severe disturbances and uncertain conditions.

Keywords

• Artificial intelligence
• Frequency control
• Microgrid
• Dual-stage controller
• Renewable energy resources