Microgrid energy management using metaheuristic optimization algorithms

Article Computer Science, Artificial Intelligence

An enhanced moth-swarm algorithm for efficient energy management based multi dimensions OPF problem

Bachir Bentouati et al.

Summary: This paper presents a new high-efficiency technology, enhanced MSA (EMSA), which proposes a multi-objective version of the recently proposed moth swarm algorithm to address energy management issues in power systems. Simulation results confirm considerable improvements of EMSA in addressing different test objectives in complex power systems.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

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Article Energy & Fuels

Deep reinforcement learning for energy management in a microgrid with flexible demand

Taha Abdelhalim Nakabi et al.

Summary: This study investigates the performance of various deep reinforcement learning algorithms in enhancing the energy management system of a microgrid. A novel microgrid model is proposed and seven algorithms are implemented and compared. The results show significant differences in convergence to optimal policies among the algorithms, with the modified asynchronous advantage actor-critic algorithm achieving the highest model performance and convergence to near-optimal policies.

SUSTAINABLE ENERGY GRIDS & NETWORKS (2021)

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Article Computer Science, Information Systems

EWOA-OPF: Effective Whale Optimization Algorithm to Solve Optimal Power Flow Problem

Mohammad H. Nadimi-Shahraki et al.

Summary: The optimal power flow is a crucial tool in optimizing control parameters of a power system, with the whale optimization algorithm being widely used for such problems. This paper proposes an enhanced whale optimization algorithm to improve exploration ability and achieve better solutions across diverse power system scales. The comparison of results demonstrates that the enhanced algorithm outperforms other comparative algorithms in solving both single- and multi-objective optimal power flow problems.

ELECTRONICS (2021)

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Article Computer Science, Artificial Intelligence