Affiliations: [a] School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India
| [b] School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India
Correspondence:
[*]
Corresponding author. G. Angeline Ezhilarasi, Professor, School of Electrical Engineering, Vellore Institute of Technology, Chennai-600127, Tamilnadu, India. E-mail: angelineezhilarasi.g@vit.ac.in.
Abstract: The optimal location and rating of distributed generators in the distribution network is important role in the incremental consumer load. Proposed research determines a novel approach for the optimal placement rating of distributed generators. To achieve the multi-objectives of expanded work is to minimize the power loss, reduce operating cost, and development of magnitude output voltage. At present, the objectives are achieved by using spider monkey optimization algorithm (SMOA). Design and prescribed optimization is considered various constraints such as voltage limit, dg (Distributed Generator), real power generation limit, current limit, and power equality constraint estimated. The losses sensitivity factor involves the best selection of the optimal locations to fix dg units. In this context proposes to determine the optimal rating of dg units based on the searching behavior of spider monkeys. IEEE (Institute of Electrical and Electronics Engineering) 33-bus, and IEEE 69-bus distribution systems with various load levels are tested the validation of presented method. The entire work is done by MATLAB/Simulink program, and the SMOA is also compared with familiar algorithms to show the efficiency for an optimal rating of the power system.
Keywords: Spider monkey optimization
algorithm, power system, distribution generator, power
quality, simulation
