Optimal Placement of Dispatchable and Non-dispatchable Distributed Generation of Different Technologies

Abstract

This thesis investigates various DG technologies (such as biomass, micro-turbine, solar, wind, combined heat and power (CHP) and fuel cells) and applies various optimization techniques. These techniques are categorized into analytical optimization and heuristic optimization. The analytical optimization techniques used in this thesis are allocation using voltage (bus) stability index (VSI) and a power (line) stability index (PSI). The heuristic techniques are Multi-objective Genetic Algorithm (MOGA), Particle Swarm Optimization (PSO) and Biogeography Based Optimization (BBO). In addition, the thesis discusses non-dispatchable and dispatchable DG. Single and multi-objective optimization techniques are proposed to determine the allocation of a DG unit in radial distribution systems while, considering objective functions namely, minimizing power losses, minimizing the energy losses, minimizing the total cost and maximizing the voltage stability index (VSI). These techniques are applied to a standard IEEE 69 bus radial distribution system and implemented using MATLAB R2014b.