CONTRIBUTION TO THE OPTIMIZATION OF ELECTRICAL DISTRIBUTION NETWORKS IN THE PRESENCE OF DECENTRALIZED GENERATION SOURCES

Bouhanik, Anes (2025) CONTRIBUTION TO THE OPTIMIZATION OF ELECTRICAL DISTRIBUTION NETWORKS IN THE PRESENCE OF DECENTRALIZED GENERATION SOURCES. Doctoral thesis, Faculté des Sciences et de la technologie.

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Abstract

This thesis offers an in-depth examination of optimization methods for contemporary electrical distribution networks, focusing on the heightened complexity introduced by distributed generations, network reconfiguration, and the incorporation of shunt capacitor banks. The study is organized into four main areas. An overview of distribution networks is presented, emphasizing the significant challenges in achieving efficient and reliable power delivery amid changing energy demands and the transition to smart grid technologies. A comprehensive analysis of network reconfiguration, capacitor bank placement, and distributed generation integration is conducted, highlighting the increasing significance of these methods when utilized in conjunction to enhance network performance. This has helped to situate our work within the existing literature and illustrate our contributions. A careful study of metaheuristic optimization techniques for their efficacy in addressing the high-dimensional, multi-objective optimization challenges typical of electrical distribution networks has led to the creation of a brand-new multi-objective optimization method using the hybrid multi-population algorithm (HMPA) for optimal network reconfiguration while simultaneously allocating capacitor banks and distributed generations (ONRSACD). The proposed method incorporates fuzzy logic to reconcile conflicting objectives, achieving an optimal balance between substation energy costs and equipment investments while maintaining operational efficiency. The methodology was validated through comprehensive experiments on 33-bus and 69-bus test systems, wherein the HMPA exhibited enhanced performance relative to other advanced optimization techniques. The thesis concludes by highlighting the potential of integrating advanced control systems, including flexible AC transmission systems (FACTS) and intelligent communication technologies, to improve network performance and support the transition to smart grids. Future research is suggested to investigate these avenues, as well as the effects of deregulation and real-time optimization in intricate, large-scale distribution networks.

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