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Optimal design of fuzzy-AGC based on PSO & RCGA to improve dynamic stability of interconnected multi area power systems

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Abstract

Quickly getting back the synchronism of a disturbed interconnected multi area power system due to variations in loading condition is recognized as prominent issue related to automatic generation control (AGC). In this regard, AGC system based on fuzzy logic, i.e., so-called FLAGC can introduce an effectual performance to suppress the dynamic oscillations of tie-line power exchanges and frequency in multi-area interconnected power system. Apart from that, simultaneous coordination scheme based on particle swarm optimization (PSO) along with real coded genetic algorithm (RCGA) is suggested to coordinate FLAGCs of the all areas. To clarify the high efficiency of aforementioned strategy, two different interconnected multi area power systems, i.e., three-area hydro-thermal power system and five-area thermal power system have been taken into account for relevant studies. The potency of this strategy has been thoroughly dealt with by considering the step load perturbation (SLP) in both the under study power systems. To sum up, the simulation results have plainly revealed dynamic performance of FLAGC as compared with conventional AGC (CAGC) in each power system in order to damp out the power system oscillations.

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Authors and Affiliations

  1. Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran

    Ali Darvish Falehi

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  1. Ali Darvish Falehi
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Correspondence to Ali Darvish Falehi.

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Recommended by Associate Editor Giuliano Premier

Ali Darvish Falehi received the M. Sc. degree from the Shahed University, Iran in 2010. He is currently a Ph.D. degree candidate at Shahid Beheshti University, Iran. He has published more than 10 ISI papers like IET Generation, Transmission & Distribution, SPRINGER Frontiers of Information Technology & Electronic Engineering, Journal of Intelligent and Fuzzy Systems and Turkish Journal of Electrical Engineering and Computer Sciences.

His interests include FACTS, D-FACTS, power system stability, power quality, artificial intelligence and controller design.

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Falehi, A.D. Optimal design of fuzzy-AGC based on PSO & RCGA to improve dynamic stability of interconnected multi area power systems. Int. J. Autom. Comput. 17, 599–609 (2020). https://doi.org/10.1007/s11633-017-1064-0

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  • DOI: https://doi.org/10.1007/s11633-017-1064-0

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