Optimal Placement of Photovoltaic Systems and Wind Turbines in Distribution Systems by Using Northern Goshawk Optimization Algorithm

Abstract

In this study, the placement of photovoltaic generators (PVGs) and wind power generators (WGs) in distribution networks is optimized in both size and location in order to minimize the power loss as much as possible. An IEEE 85-bus radial distribution power network is employed to simulate the effectiveness of PVGs and WGs. The optimal solutions of the problem are determined by applying three novel metaheuristic methods including Northern Goshawk Optimization (NGO), Bonobo optimizer (BO), and Transient Search Optimization (TSO). By evaluating the results obtained from these methods, NGO proved itself the most effective method and its performance completely superiors both BO and TSO in all compared criteria such as minimum loss value (min. loss), mean loss values (mean loss), maximum loss values (max. loss), and the standard deviation (STD). More importantly, the impacts caused by quantity of PVGs and WGs to the power loss value are clarified in different case studies.