Multi-Criteria Optimization of Multi-Energy System Sizing through a Genetic Algorithm
DOI:
https://doi.org/10.25729/esr.2025.02.0004Keywords:
Genetic algorithm, multi-criteria optimization, multi-energy system, renewable energy, VIKORAbstract
Increasing the reliability and enhancing environmental and economic efficiency of power supply to remote consumers are essential for many regions. An effective solution is to establish multi-energy systems (MES) using renewable energy sources. Sizing the capacity of multi-energy systems (MES) has to meet a great number of criteria, which is related to numerous objectives. Accomplishing it is also complicated by the need for a detailed hourly assessment of the MES operation due to the stochastic nature of renewable energy. We propose an approach to optimizing the capacity of MES plants based on the NSGA-II genetic algorithm and the VIKOR multi-criteria method. The first stage involves using the algorithm to build a set of non-dominated MES configuration options, from which the most effective ones are chosen using the VIKOR method. The CRITIC method is employed to improve the objectivity of the criterion weight assessment, which relies on the analysis of alternatives based on criteria. The application of the approach is demonstrated in the remote settlement of Samarga, located in a moderate climate. The paper presents the best MES sizing solutions, which were selected according to the multi-criteria assessment using the VIKOR method. The objective functions of the resulting solutions correspond to the criteria weights determined using the CRITIC method.
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