RETRACTED: Hybrid multi agent optimization for optimal battery storage using micro grid

Abstract

Due to rising of power demands and distributed renewable power saturation, determining optimal capability of the battery energy storage system (BESS) and demand response (DR) inside the microgrid (MG) is critical. To overcome these issues, research proposed in this manuscript employs a hybrid swarm intelligence approach that incorporates game theory. Both BESS and DR concepts are used in the hybrid method operation. The proposed method employs multi‐agent guiding particle swarm optimization (MAPS) and Halton sequence and social motivation strategy based on the grey wolf optimizer (HSGW). The HSGW method helps in minimizing power utilization and energy loss. The results show that, when compared with the traditional methodology, the proposed MAPS‐HSGW method provides the cost‐effective selection between the agents and also decreases the operational cost by about 7.5%. Moreover, it was discovered that the proposed MAPS‐HSGW method outperforms other techniques in terms of results’ quality and computational time metrics.

Revisión de la optimización de Bess en sistemas de potencia

“…This algorithm has been used to find optimal BESS capacities for reliability and low cost objectives in autonomous AC grid design [99], the optimal sizing and/or allocation of BESS for power loss [111] and voltage deviations [97], Smart backup battery design for DER efficiency, BESS efficiency and life improvement [101], the optimal allocation of Electric vehicles charging station with DER and BESS integrations to reduce energy losses, voltage deviations and investments and maintenance costs [112], Unified Power Quality Conditioner control for Hybrid DER with BESS to increase system performance during voltage and current sag, real reactive power quality and total harmonic distortions [82], [113], the optimal operational strategy for BESS integration in microgrid to reduce the cost of power, the failure of energy contribute, the probability of deposit power [114] and the implementation of BESS in droop regulated islanded microgrid considering probabilistic modelling of DER for annual operation and maintenance cost, emissions and power loss reductions [115], and others.…”