WSEAS Transactions on Power Systems
Print ISSN: 1109-9445, E-ISSN: 2415-1513
Volume 11, 2016
Evolutionary Optimization Algorithms in Designing a UPFC Based POD Controller
Authors: Anwar Haider, Ali Al-Mawsawi, Ahmed Al-Qallaf
Abstract: This paper investigates the design of a unified power flow controller (UPFC) based power oscillations damping (POD) controller using evolutionary optimization algorithms (EA). It introduces two optimization algorithms: biogeography based optimization (BBO) and particle swarm optimization (PSO), that are used to design the POD controllers. The optimal set of parameters for the controllers are found using two different objective functions, eigenvalue based objective function and time based objective function, over a wide range of system operating points in order to obtain a robust controller. The obtained controllers are then verified and tested over four different loading conditions of the system with different system parameter uncertainties introduced in each case.
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Keywords: Power system oscillations, unified power flow controller, biogeography based optimization, particle swarm optimization, evolutionary optimization algorithms, FACTS
Pages: 100-110
WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1109-9445 / 2415-1513, Volume 11, 2016, Art. #13