Cost-Aware Energy Management Strategy for Microgrid Systems using Hybrid Optimization Techniques

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Chinese explanation / 中文解读

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Original abstract

The increasing integration of renewable energy resources, distributed generation units, energy storage systems, and intelligent loads has transformed conventional microgrids into highly dynamic and complex energy ecosystems. While these advancements improve sustainability and energy independence, they also introduce significant challenges related to energy scheduling, operational cost minimization, resource utilization, and system reliability. Traditional energy management approaches often rely on fixed scheduling policies and single-objective optimization methods, which may be insufficient for handling the uncertainty associated with renewable energy generation and fluctuating load demands. To address these challenges, this paper proposes a Cost-Aware Energy Management Strategy for Microgrid Systems Using Hybrid Optimization Techniques. The proposed framework integrates real-time monitoring, intelligent energy profiling, demand forecasting, renewable energy coordination, battery storage management, and hybrid optimization mechanisms to determine optimal energy allocation strategies under varying operating conditions. The hybrid optimization approach combines the strengths of multiple optimization methods to balance energy supply and demand while minimizing operational costs and maximizing resource utilization. Experimental results demonstrate that the proposed strategy significantly improves energy efficiency, reduces operational costs, enhances renewable energy utilization, and strengthens overall system reliability compared with conventional energy management approaches.

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