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Optimal Volt/VAR Control and Power Dispatch in Active Distribution Systems
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Modern distribution systems have drawn lots of interest as a possible paradigm shift in future energy infrastructure. In recent years, growing distribution energy resource (DER) penetration has resulted in transforming unidirectional power flow in passive distribution systems, into bidirectional power flow in active distribution systems. Therefore, many challenges have raised from the intermittent nature of a distribution system with high penetration of microgrids (MGs) and DERs. In this dissertation, we address some of these challenges by proposing various problem statements along with new techniques to show how a distribution system with different MGs and DERs should work. These problem statements include economic dispatch, multi-objective economic-emission dispatch, economic-reliability security-constrained optimal dispatch, and multi-objective Volt/VAR control in modern distribution systems. In addition, we propose various methods of solving the aforementioned problem statements such as Multi-Objective Fireworks Algorithm (MOFWA) and Pareto Concavity Elimination Transformation (PaCcET). Furthermore, we propose constraint value (CV) metric and sensitivity children (SC) to handle the distribution system constraints and use the sensitivity respond for evolutionary algorithms, respectively. The performance of the proposed frameworks is verified using the simulation results of different case studies in distribution systems. The results obtained by the new techniques are then compared to several multi-objective optimization techniques, such as non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective particle swarm optimization (MOPSO), as the well-known benchmarks.