A capacity optimizer was developed based on the co-simulation model of microgrid subsystems, and the optimization results targeting cost-effectiveness and carbon emission reduction
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Multi-objective particle swarm algorithm was used to solve the optical photovoltaic and energy storage system optimization model, to determine the optimal capacity allocation scheme of
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In the design procedure of a PV-based microgrid, optimal sizing of its components plays a significant role, as it ensures optimum utilization of the
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The results highlight that a microgrid composed of WT, PV, diesel, and BESS exhibits the lowest LCOE compared to alternative combinations. In [122], MILP is similarly employed; the
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In response to the adverse impact of uncertainty in wind and photovoltaic energy output on microgrid operations, this paper introduces an Enhanced Whale Optimization Algorithm(EWOA)
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The capacity optimal allocation of an optical storage integrated microgrid is a multi-objective combinatorial optimization problem, which needs to balance the power supply reliability,
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The variables are microgrid optimal location and capacity of the HMG components in the network which are determined through a multi-objective improved Kepler optimization algorithm
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The randomness and volatility of distributed photovoltaic output have brought adjustment to the safe operation of microgrid. Reasonable photovoltaic-energy storage capacity allocation and
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In the design procedure of a PV-based microgrid, optimal sizing of its components plays a significant role, as it ensures optimum utilization of the available solar energy and associated
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Determining optimal PV and BESS capacities remains a critical research area in microgrid design. Initially, sizing methodologies were based on simplistic approaches, such as aligning PV
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