Abstract
This paper proposes an approach based on the Symbiotic Organism Search (SOS) for optimal determining sizing, siting, and number of Distributed Generations (DG) in distribution systems. The objective of the problem is to minimize the power loss of the system subject to the equality and inequality constraints such as power balance, bus voltage limits, DG capacity limits, and DG penetration limit. The SOS approach is defined as the symbiotic relationship observed between two organisms in an ecosystem, which does not need the control parameters like other meta-heuristic algorithms in the literature. For the implementation of the proposed method to the problem, an integrated approach of Loss Sensitivity Factor (LSF) is used to determine the optimal location for installation of DG units, and SOS is used to find the optimal size of DG units. The proposed method has been tested on IEEE 33-bus, 69-bus, and 118-bus radial distribution systems. The obtained results from the SOS algorithm have been compared to those of other methods in the literature. The simulated results have demonstrated that the proposed SOS method has a very good performance and effectiveness for the problem of optimal placement of DG units in distribution systems.
Highlights
Distributed Generation (DG) units are small generating plants directly connected to distribution systems or to the customer side of the meter
For finding the optimal number of DG units, the problem is solved with different numbers of DG units, and the optimal number of DG units is determined corresponding to the case with the minimum total power loss obtained
Among the values of the active power loss, a minimum active power loss of 485.439990 kW is obtained corresponding to the number of DG units is 34, this being
Summary
Distributed Generation (DG) units are small generating plants directly connected to distribution systems or to the customer side of the meter. The typical Optimal DG Placement (ODGP) problem deals with the determination of the optimal locations and sizes of DG units to be installed into existing distribution systems subject to the electrical network operating constraints, DG operation constraints, and investment constraints. Meta-heuristic search methods have become popular for solving the ODGP problem due to their advantages of simple implementation and ability to find the near-optimal solution for complex optimization problems. For the implementation of the proposed method to the problem, a Loss Sensitivity Factor (LSF) is used to determine the most sensitive bus for DG installation and the proposed SOS algorithm is employed to minimize the objective function by determining the optimal size of DG units at candidate locations. The proposed method has been tested on the IEEE 33-bus, 69-bus, and 118-bus systems and the results obtained by the proposed method have been compared to those from other methods in the literature
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