Date of Publication :15th June 2024

Abstract:This study presents a comparison of five distinct approaches for the energy management system of a microgrid and smart grid, which are grid-connected systems to improve distribution system resilience. The article blends HESSs with DRP. Lowers peak demand, improves load factor, and maximizes economic efficiency which uses the RTP algorithm to display energy costs to residential customers. It increases resilience by lowering energy expenses and recovering loads and tests the system's resilience to extreme events to assess network resiliency [1]. A smart grid configuration using a finite horizon MDP model creates a finite horizon version of the Q-learning method and shows how well it performs on arbitrary MDPs [2]. For potential customers, concentrate on hybrid AC-DC microgrid control methods, which Discuss coordinated and local control plans for power management methods and examine decentralised control strategies to provide robust microgrid power management. It also examines hybrid microgrid control's goals, constraints, and future possibilities [3]. Compares several grid-connected microgrid control schemes under varying solar irradiance, and employs real-time controls and scenario-based stochastic programming for energy management. For system efficiency, look into approaches like rule-based, MPC, and DRL [4]. Secure energy trading methods are an added benefit of the RETINA architecture for smart grids, which combines blockchain, WoT, and PKI to enable safe and decentralised energy transfers. It Verifies robustness and scalability in a 500-node virtualized testbed [5]. Which permits effective energy trading, supporting renewable energy sources and fending off market manipulation [5].

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