A Novel Hybrid Optimization Algorithm for Performance Improvement of Distribution Network by Optimal Allocation of Distributed Generators

Uncertainty of loading in distribution system, which differs over time, raises difficulty in working and control over distribution system. Also, increased continuous load and makes the distribution system work nearby load limit. The load which increases steadily will cause more power losses, least voltages regulation, uncertainness, in secured traditional feedings system. This paper contributes enhancement in profile of voltage in transmission systems, which reduces voltage fluctuation and power loss. Electrical power which transfers in the same way throughout Radial Distribution Network (RDN) in power grid stations will results lower voltage continuity, voltage fluctuations which occur significantly and also loss of power in distribution networks even with higher load and power loss issue, in spite of mounting DG in RDS in maintaining voltage profiles using grid networks. The meta-heuristic optimization algorithms also hold major place which determines optimal location of DG which achieves the goal of the research. Here, in practical networks, the single objective optimized strategies were not used to solve power systems optimization issues of several types. Therefore, multi-objective function was mentioned. The major work of the research lies in investigating along with assigning the optimal locations of connecting DG, along with the evaluation of optimal DG configuration, which minimizes power loss thereby improving voltage profiles of distribution network using Gazelle Optimization + Dwarf Mongoose Optimization (GOA + DMO) algorithms. The standardized IEEE 37-bus Radial Distribution Systems (RDS) were used as testing bus system in testing execution and efficiency of optimization techniques. Illustrating effectiveness of devised algorithms, outcomes were compared using several optimization methods.