COMPREHENSIVE REVIEW ON RULE-BASED ENERGY MANAGEMENT SYSTEM FOR HYBRID RENEWABLE ENERGY SOURCES WITH BATTERY BANK
DOI:
https://doi.org/10.63747/jeis.v1i2.51Keywords:
Keywords: Battery Energy Storage System (BESS), Decision Rule Control, Hybrid Renewable Energy Sources (HRES), Microgrid Control, Optimization Algorithms, Rule-Based Energy Management System (RBEMS),Abstract
This paper presents a comprehensive review of Rule-Based Energy Management Systems (RB-EMS) applied to hybrid renewable energy systems integrated with battery storage. As hybrid configurations—typically combining photovoltaic (PV), wind, diesel generators, fuel cells, and battery banks—continue to gain prominence in both standalone and grid-connected microgrids, effective energy management becomes essential for achieving reliability, operational efficiency, and cost optimization. The review synthesizes recent advancements in RB-EMS architectures, control strategies, decision-making rules, and their applications in microgrid scenarios. Particular focus is placed on operational thresholds, mode-switching logic, battery state-of-charge (SOC) constraints, and real-time power flow coordination. The study also examines hybrid approaches where RB-EMS is integrated with optimization algorithms such as genetic algorithms, simulated annealing, deep learning models, and dynamic programming to enhance decision quality and economic performance. Strengths and limitations of existing RB-EMS solutions—including scalability challenges, rule-rigidity, and computational trade-offs—are discussed. Finally, the review highlights research gaps and future opportunities for intelligent, adaptive, and data-driven rule-based control frameworks capable of supporting next-generation resilient, low-carbon hybrid renewable energy systems.
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