Optimal location and sizing of DG to minimize loss of distribution system using SIMBO-Q method

Abstract

Determination of optimal location and size of Distributed Generation units is one of the major problems of distribution network. Optimum locations and sizes of DG sources have profoundly impacted on the system losses of a distribution network. This paper presents a new optimization technique known as Swine Influenza Model Based Optimization with Quarantine (SIMBO-Q) to determine optimal allocation and sizing of distributed generation units in distribution network to minimize active power loss. SIMBO-Q performs the optimization through quarantine and treatment based on probability. SIMBO variants can be used to solve DG siting and sizing problem with improved convergence and accuracy. The proposed algorithm is applied to a 33-bus distribution system. The results obtained with the proposed method are compared with the results of PSO and numerical studies represent the effectiveness and outperformance of the proposed method.

Optimization of Real Power Loss and Voltage Stability Index for Distribution Systems with Distributed Generation

“…Modified Teaching-Learning Based Optimization algorithm is proposed to determine optimal sizing and location of DG units [8]. Swine Influenza model based optimization with Quarantine method is used to determine optimal location and sizing of DG to minimize losses of the distribution system [9]. The optimal location and size of DG units are obtained based on voltage stability index (VSI) by Particle Swarm Optimization in [10].…”

Research on Maximum Penetration of Microgrid Based on Artificial Bee Colony Algorithm

“…Onlooker bees evaluate the nectar information brought by employed bees and choose a nectar position with a certain probability related to its nectar amount. The probability of a nectar chosen by onlooker bees is determined by the following expression: (7) where fit i is the fitness value of i-th solution; N is the number of nectar sources. It can be concluded that the higher fitness value of the nectar source, the greater probability of selection by onlooker bees .…”

“…A method called Harmony Search Algorithm is applied to minimize losses in [5]. Other methods used in DG planning are Hereford Ranch Algorithm (HRA) [6], Swine Influenza Model Based Optimization with Quarantine (SIMBO-Q) [7], Fuzzy Evolutionary Programming algorithm (Fuzzy-EP) [8], etc.…”