Title :
Voltage regulation in distribution system by considering uncertainty from renewable energy
Author :
Chanhome, Anuwat ; Phichaisawat, Sotdhipong ; Chaitusaney, Surachai
Author_Institution :
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
Renewable energy sources are gaining more and more interest because they are sustainable and nonpolluting. Although renewable energy is useful, it can cause voltage violation due to its uncertainty in power output. In this paper, a solution method has been proposed to coordinate dispatchable Distributed Generation (DG) with voltage control devices for optimally regulating voltage profile by using Particle Swarm Optimization (PSO). In addition, Monte Carlo Simulation is applied to calculate probabilistic load flow from the uncertainty of renewable energy DG and loads. The proposed method is simulated in IEEE 34-bus distribution test system, and the satisfactory results are obtained.
Keywords :
Monte Carlo methods; distributed power generation; particle swarm optimisation; power distribution control; renewable energy sources; voltage control; IEEE 34-bus distribution test system; Monte Carlo simulation; PSO; dispatchable distributed generation; distribution system; particle swarm optimization; probabilistic load flow; renewable energy DG uncertainty; renewable energy sources; voltage control devices; voltage profile regulation; voltage violation; Capacitors; Load modeling; Particle swarm optimization; Power generation; Uncertainty; Voltage control; Wind speed; distributed generation; distribution system; particle swarm optimization; uncertainty; voltage control device;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on
Conference_Location :
Phetchaburi
Print_ISBN :
978-1-4673-2026-9
DOI :
10.1109/ECTICon.2012.6254285
