Fuzzy logic-based particle swarm optimization for integrated energy management system considering battery storage degradation

• DOI: 10.1016/j.rineng.2024.102816
• Publication Date: 2024-08-30T07:13:55Z
• Authors: Oladimeji Ibrahim; Mohd Junaidi Abdu...; Razman Ayop; Ahmed Tijjani Dahiru; Wen Yao Low; Mohd Herwan Sulaiman; Temitope Ibrahim ...
• Keywords: Microgrid; Robustness

Considering the rapidly evolving microgrid technology and increasing complexity associated with integrating renewable energy sources, innovative approaches to management are crucial for ensuring sustainability efficiency. This paper presents a novel Fuzzy Logic-Based Particle Swarm Optimization (FLB-PSO) technique enhance performance of hybrid systems. The proposed FLB-PSO algorithm effectively addresses challenge balancing exploration exploitation in optimization problems, thereby enhancing convergence speed solution accuracy robustness across diverse complex scenarios. By leveraging adaptability fuzzy logic adjust PSO parameters dynamically, method optimizes allocation utilization resources within grid-connected microgrid. Under fixed grid tariffs, investigation demonstrates that achieves power purchase battery degradation costs $1935.07 $49.93, respectively, compared $2159.67 $61.43 traditional PSO. results an optimal cost $1985.00 FLB-PSO, leading saving $236.09 $2221.10 Furthermore, under dynamic incurs $2359.20 $64.66, contrast $2606.47 $54.61 is $2423.86, representing reduction $237.23 $2661.08 proficiently manages sources while addressing complexities storage degradation. Overall, outperforms terms system dynamics, rate, operational reduction, improved