JOURNAL ARTICLE

Optimal Placement Of Unified Power Flow Controller (Upfc) In Ieee 14 Bus System Using Genetic Algorithm (Ga)

Mr. Aman SharmaMr. Jitendra Singh Bhadoriya

Year: 2017 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

With the increasing size of power system, there is a thrust on finding the solution to maximize the utilization of existing system and to provide adequate voltage support. For this the flexibility of power is needed. Flexible AC transmission system (FACTS) if placed optimally can be effective in providing voltage support, controlling power flow and in turn resulting into lower losses. The algorithm to find the optimal location of UPFC based on genetic algorithm has been developed. The effect of these devices on line flows and bus voltage profile has been studied by placing at random location and placing them optimally with optimal ratings dictated by genetic algorithm. The effectiveness of developed algorithm has been tested on 14-bus systems. In this work, a comparison of the effects of compensation of a Simplified multi-machine (two-machine system) power system by shunt/series connected FACTS controllers at optimal location using GA. The model procedure of enhance voltage stability and power flows capability of systems is illustrated. The study system is a simple example of multi-machine system, which is simulated in MATLAB/PSAT.

Keywords:
Control theory (sociology) Genetic algorithm Unified power flow controller Electric power system Flexibility (engineering) Voltage Power (physics) Power flow Controller (irrigation) Compensation (psychology)

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Topics

Power System Optimization and Stability
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Optimal Power Flow Distribution
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Frequency Control in Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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