In the power distribution network, real power loss and voltage profile
management are critical issues. By providing active and reactive power
support, both of these issues can be managed. This paper utilized the
Meta heuristic-based method for the optimal size and placement of
distributed generation (DG) and capacitor (QG) sources for loss
reduction by incorporating network current carrying capacity constraint
in the optimization problem. The overall problem is optimized using an
upgraded method of the fitness assignment and solution chasing based on
the aggregate approach called Multi-objective Whale Optimization
Algorithm (MWOA). Wind and solar photovoltaic sources are utilized as
the distributed generation with their probabilistic outputs. The
developed method is tested using two feeders of practical Bahir Dar
Distribution Network, Ethiopia. The results of loss minimization and
voltage profile management with MWOA are compared with multi-objective
particle swam optimization (MPSO) with an equal number of iteration to
show the superiority of the developed method.
Capacity-Based Optimization Using Whale Optimization Technique of a Power Distribution Network
