Multi-objective multiverse optimization for optimal allocation of distributed energy resources: The optimal parallel processing schemes

Fatemeh Mohammadi Behbahani, Bahman Ahmadi*, Ramazan Caglar

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Özet

Utilizing Distributed Generators (DGs) and Energy Storage Systems (ESSs) enhances power system reliability, drawing significant research attention. However, these systems pose challenges, compelling scientists to explore optimization methods. Our paper presents an innovative solution, Parallel Multi-Objective Multi-Verse Optimization (PMOMVO), aimed at optimizing DGs and Battery Energy Storage Systems (BESSs) allocation. This optimization addresses voltage violations and operation costs, crucial concerns for system operators and consumers. By leveraging a parallel approach, PMOMVO significantly accelerates the optimization process. We compared its results with a base case scenario, demonstrating the superior efficiency of our parallel method. It not only enhances the optimization performance but also proves its efficacy by generating optimal solutions from the Pareto front set. This research showcases the benefits of PMOMVO, offering a faster, more efficient, and reliable way to optimize power systems, benefiting both operators and consumers.

Orijinal dilİngilizce
Makale numarası110298
DergiElectric Power Systems Research
Hacim231
DOI'lar
Yayın durumuYayınlandı - Haz 2024

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© 2024 The Author(s)

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