Placement and Sizing of DG Using PSO&HBMO Algorithms in Radial Distribution Networks
نویسندگان
چکیده
Optimal placement and sizing of DG in distribution network is an optimization problem with continuous and discrete variables. Many researchers have used evolutionary methods for finding the optimal DG placement and sizing. This paper proposes a hybrid algorithm PSO&HBMO for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total power loss and improve the voltage profile. The proposed method is tested on a standard 13 bus radial distribution system and simulation results carried out using MATLAB software. The simulation results indicate that PSO&HBMO method can obtain better results than the simple heuristic search method and PSO algorithm. The method has a potential to be a tool for identifying the best location and rating of a DG to be installed for improving voltage profile and line losses reduction in an electrical power system. Moreover, current reduction is obtained in distribution system.
منابع مشابه
Simultaneous Placement of Capacitor and DG in Distribution Networks Using Particle Swarm Optimization Algorithm
Nowadays, using distributed generation (DG) resources, such as wind and solar, also improving the voltage profile in distribution companies has been considered. As optimal placement and sizing of shunt capacitors become more prevalent, utilities want to determine the impact of the various capacitors placement in distribution systems. Locating and determining the optimal capacity of shunt capaci...
متن کاملThe Optimal Placement of Distributed Generation (DG) to Improve the Voltage Profile and Reduce Losses in Radial Distribution Networks Using PSO
Voltage profile and losses are important factors in a distribution network in which there arevariety of ways to improve them. In this paper, distributed generation (DG) is used as a solutionto improve the above characteristics. Backward/Forward Sweep load flow algorithm is used dueto the inefficiency of usual load flow algorithms because of high R/X ratio and their lack ofconvergence in distrib...
متن کاملPlacement and Sizing of Various Renewable Generations in Distribution Networks with Consideration of Generation Uncertainties using Point Estimate Method
Abstract: Deploying Distributed Generation (DG) units has increased due to yearly increase of electric energy demand and technological advancements beyond Smart Grid. Although, DGs offer several advantages such as reducing economic costs and environmental impacts, the operation of these units in power systems creates several problems. In this paper, optimal allocation and sizing of DG units in ...
متن کاملOptimal placement and sizing of distributed generation considering FACTS devices and load uncertainty using hybrid sine-cosine algorithm and particle swarm optimization (HSCA-PSO)
Using Distributed Generation (DG) in electrical distribution networks brings many advantages and thus, optimal placement and sizing of these units become important. Most of the researches in this field neglect the effect of transmission system on distribution section. These researches also ignore the effect of Flexible Alternating Current Transmission Systems (FACTS). This thesis proposes a new...
متن کاملOptimal Placement and Sizing of Multiple Renewable Distributed Generation Units Considering Load Variations Via Dragonfly Optimization Algorithm
The progression towards smart grids, integrating renewable energy resources, has increased the integration of distributed generators (DGs) into power distribution networks. However, several economic and technical challenges can result from the unsuitable incorporation of DGs in existing distribution networks. Therefore, optimal placement and sizing of DGs are of paramount importance to improve ...
متن کامل