Abstract
In recent years the use of renewable energy sources (RES) by many power grid companies worldwide has increased significantly. The trend towards RES use is mainly due to environmental issues and rising fuel prices associated with conventional electricity generation. This paper introduces a hybrid approach to find the optimal location and size of distributed generations (DG) in the radial distribution system (RDS). The proposed approach is based on the atom search optimization (ASO) technique to calculate the optimal allocation of DGs and power loss sensitivity (PLS) index to obtain the best buses for DGs installation in RDS. The presented approach is applied to IEEE 33-bus RDS to increase voltage profile and minimize the power losses. The results obtained prove that the developed approach can be highly effective in integrating DG into RDS compared to many other methods in the literature.
Highlights
The use of renewable energy sources (RES) is growing significantly in many countries around the world
Several metaheuristic and analytical approaches have been developed to study the allocation of distributed generations (DG) and calculate their advantages [5,6,7,8]
Minimizing power losses taken into consideration as the main goal of this paper, which is obtained by determining the optimal location and size of the DGs in the radial distribution system (RDS)
Summary
The use of RES is growing significantly in many countries around the world. Government support and policy are the most important impetus for developing the RES industry [1,2]. To find the optimal location and size of the DG to minimize the power loss in the RDS by using the genetic algorithm (GA) has been proposed in [5]. In [8] developed an evolutionary algorithm (EA) to find the optimal location and size of the DG to minimize the power loss. We will study two RES-based DG technologies: the wind turbine (WT) and photovoltaic (PV) units considering the number and size of units and whether these units are generating only active power or active and reactive power. The optimization technique is performed, taking into account the allocation of one and several DG units This developed approach has been examined on the IEEE 33-bus RDS to test its effectiveness.
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