Optimal Allocation and Sizing of Distributed Generation in Radial Distribution System using Honey Badger Algorithm /

Abstract

There is an increasing growth in load demands and plenty of financial strain to upgrade the present power distribution system. It faces challenges such as power losses, voltage deviations, lack of reliability and voltage instability. There is also a sense of responsibility in the wake of environmental and energy crisis to adopt the distributed renewable resources for power generation. These challenges are resolved by allocating optimal distributed generators (DG) at different suitable locations in the radial power distribution system. Optimal allocation is a non-linear problem which is solved by powerful metaheuristic optimization algorithms. In this work, an objective function is introduced to optimally size four different types of DGs by utilizing honey badger algorithm (HBA) and its comparison is drawn with grey wolf optimization (GWO) and whale optimization algorithm (WOA). The objective was to boost the voltage profile and minimize the power losses of the standard IEEE 33-bus radial power distribution system. It is observed from the simulation results that honey badger algorithm is the fastest than grey wolf optimization and whale optimization algorithm to reach accurate and optimum results.