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What is Optimizing Hybrid Generation for Power Quality about?

This thesis investigates optimizing the location and sizing of a hybrid distributed generation (HDG) system consisting of photovoltaic panels, wind turbines, and battery storage to improve power quality and reduce losses in a 33-bus distribution network. A hybrid meta-heuristic optimization method called Crow Search Algorithm-Differential Evolution is proposed and applied to determine the optimal placement and sizing of the HDG components. Simulation results show that the optimization method performs well a

Author

Joel Kionisala

Language

EN