Optimized regulation of DC voltage in Interline Power Flow Controller (IPFC) using genetic algorithm

Moghadam, Maryam; Gharehpetian, Gevork B.; Abyaneh, Hossein Askarian

doi:10.1109/peoco.2010.5559199

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…Hence, heuristic algorithms i.e. genetic algorithms (GA) (Fekri Moghadam et al, 2010) and other evolutionary techniques like evolutionary algorithms (EA), evolutionary programming (EP) (Mishra et al, 2002), etc. are developed as an alternative to the conventional methods.…”

Section: Introductionmentioning

confidence: 99%

Application of refined bacterial foraging algorithm technique to control of optimal power dispatch with interline power flow controller

Jaganathan

Palaniswami²

2013

Journal of Vibration and Control

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This paper presents a novel refined bacterial foraging algorithm (RBFA) to solve a multi-objective optimal power dispatch (MOOPD) problem incorporating multiline flexible AC transmission system (FACTS) devices in modern power systems and to seek optimal parameters of the same. This paper also deals with the concept of the interline power flow controller (IPFC) for providing better power flow management in a multiline transmission system. The optimal control parameters thus obtained are used to enhance the stability of the system and minimize transmission losses. The stability of modern power systems is improved by installing fast reacting devices such as IPFC together with the optimal parameters of IPFC. The optimal location of IPFC and solving optimal power dispatch (OPD) problems are required to employ the introduction of multi-objective based optimization techniques. This paper proposes a new algorithm based on the bacterial foraging algorithm (BFA) with a proposed multi-objective optimization technique. The proposed approach is tested with standard IEEE 30 bus system and comprehensive simulation results show better in constraint handling, finding optimal control parameters of IPFC, handling of voltage profile, minimize the transmission losses and quality of solution.

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Section: Introductionmentioning

confidence: 99%