COORDINATED GENERATION SCHEDULING OF MICROGRID WITH SMART THERMAL STORAGE USING FUZZY STALKING BASED WOLF ALGORITHM

Abstract

The energy management system encounters additional challenges while scheduling MicroGrid (MG) with renewable energy sources. Solar and wind generation impose uncertainties due to its sporadic availability. In addition, MG integrated with Smart Thermal Storage (STS) mechanisms like Thermochemical Heat Storage (TCHS) and Ice-Storage Air Conditioner (ISAC) introduces inevitable constraints to the Generation Scheduling (GS) problem. Thereby the GS of STS integrated MG is transformed into Coordinated Generation Scheduling (CGS) by satisfying the electrical, thermal and cooling demand. In this paper, the CGS problem for MG with STS is formulated and solved using the proposed Fuzzy Stalking based Wolf (FSW) algorithm. The proposed FSW algorithm is an improvised Grey Wolf (GW) algorithm based on the incorporation of fuzzy logic in the prey tracking strategy. For an adopted MG with STS, the CGS problem is solved using the proposed FSW algorithms. The simulation results enforce the superiority of the proposed FSW algorithm.