2020
DOI: 10.1016/j.apenergy.2020.114508
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New genetic algorithm for economic dispatch of stand-alone three-modular microgrid in DongAo Island

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Cited by 62 publications
(18 citation statements)
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“…solutions may be stuck in local optima. The complexity of formulating and solving deterministic nonlinear programming methods have also resulted in a surge of metaheuristic and AI-based techniques such as particle swarm optimisation (PSO) [27,28], genetic algorithms (GA) [29,30], artificial bee colony [31], grey wolf optimisation [32], etc. (see [33] and [34] for a summary and recent works, respectively).…”
Section: Context: Optimisation and Simulation Of Desmentioning
confidence: 99%
“…solutions may be stuck in local optima. The complexity of formulating and solving deterministic nonlinear programming methods have also resulted in a surge of metaheuristic and AI-based techniques such as particle swarm optimisation (PSO) [27,28], genetic algorithms (GA) [29,30], artificial bee colony [31], grey wolf optimisation [32], etc. (see [33] and [34] for a summary and recent works, respectively).…”
Section: Context: Optimisation and Simulation Of Desmentioning
confidence: 99%
“…Constraint (10) is the state of Blayer and required for MPC. The proposed MPC-based dispatch strategy of the GER is constraint and nonlinear model, and thus is solved by the genetic algorithm (GA) in this paper [33]. res E ∆ Fig.…”
Section: Energy Management Of Energy Buffermentioning
confidence: 99%
“…Metaheuristic algorithms are often used to solve nonlinear optimization problems. In the article [4], an improved genetic algorithm is proposed to optimize the economic dispatch of stand-alone modular microgrids in DongAo Island. Hossain et al [5] proposed a particle swarm optimization (PSO) for the application of real-time energy management to find optimal battery controls of a community microgrid.…”
Section: Introductionmentioning
confidence: 99%