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Abstract The key role of distribution networks is to provide electricity to consumers in an adequate and uninterrupted way. Most of these networks suffer from various technical and economic challenges. High power losses, high voltage deviation, poor power factor, reactive power shortage, lines congestion and high expenses represent some of these challenges. Power system research reveals that the power loss dissipated by distribution networks accounts for about 20% in developing countries, while it is less than 10% in developed countries. For achieving enhanced performance and energy savings of distribution networks, it is necessary to satisfy the power loss limits. For this target, Fixed Capacitors (FCs), Switched Capacitors (SCs), Automatic Voltage Regulators (AVRs) and system reconfiguration are traditionally used. Also, Flexible Alternating Current Transmission systems (FACTS) represent advanced solutions to the problem of reactive power compensation, especially the Static VAR Compensators devices (SVCs) as they represent the most common FACTS devices. Accompanied to this, Distributed Generations (DGs) from renewable and non-renewable sources are on the rise. Therefore, this thesis handles the reactive power compensation via FCs and SVCs with penetration of DGs to improve the performance of distribution networks. First of all, this thesis proposes a powerful strategy for assigning the optimal allocations of FCs and Hydrogen-based Fuel Cells (HFCs) in realistic distribution networks. Various optimizers such as; particle swarm optimizer technique, basic grey wolf optimizer technique and improved grey wolf technique merged with Analytical Hierarchical Process (AHP) are presented for handling this problem. Furthermore, the utilized approaches accomplish multi-objectives such as; minimizing power loss, minimizing total investment costs, reducing voltage deviation compared to the reference voltage and provides load balance to the system. These objectives are related to some operational and planning restrictions which judge the distribution network performance. Power balance, HFCs capacity, FCs capacity, bus voltage limits and lines thermal limits are some of these constraints. After that, this thesis also proposes a robust strategy to optimize the performance of medium voltage distribution networks via the optimal coordination between HFCs and SVC devices. In order to investigate the influences of loading variations, different regular loadings are further combined. Moreover, two realworld distribution networks are employed to prove the capability of the IGWA technique. The results obtained have shown that IGWA technique is more efficient and robust compared to other techniques. |