Modified group search optimisation‐based comparative performance evaluation of thyristor controlled series capacitor‐based fractional order damping controllers to improve load frequency control performance in restructured environment

Morsali, Javad; Zare, Kazem; Hagh, Mehrdad Tarafdar

doi:10.1049/iet-gtd.2016.2094

Cited by 12 publications

(2 citation statements)

References 35 publications

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“…Power System Application [32] Teaching-learning-based optimization (TLBO) AGC [36] Particle swarm optimization (PSO) PODC [37,38] Chaotic non-dominated sorting genetic algorithm-II (chaotic NSGA-II) PODC [39] Genetic algorithm (GA), ant colony optimization (ACO) PODC [40] Bat algorithm (BA) PODC [41] Cuckoo search (CS) PODC [42] Sine-cosine algorithm (SCA) PODC [43] Hybrid firefly algorithm-PSO (FAPSO) PODC [44] Chaotic yellow saddle goatfish algorithm PODC [45] Improved PSO (IPSO) PODC [46] Dolphin echolocation optimization (DEO) PODC [47] PSO PODC [48] PSO, GA PODC [49] TLBO, PSO, GA PODC [63] SCA AGC [64] Chaotic multi-objective optimization LFC [65] Atom search optimization (ASO) LFC [66] Chaotic ASO (ChASO) Controller of DC motor [67] Bacterial foraging optimization algorithm (BFOA), hybrid firefly algorithm-pattern search (hFA-PS), grey wolf optimization (GWO), GA AGC [68] Group search optimization (GSO) LFC [69] GA AGC…”

Section: Reference Optimization Algorithmmentioning

confidence: 99%

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

et al. 2021

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In recent decades, various types of control techniques have been proposed for use in power systems. Among them, the use of a proportional–integral–derivative (PID) controller is widely recognized as an effective technique. The generalized type of this controller is the fractional-order PID (FOPID) controller. This type of controller provides a wider range of stability area due to the fractional orders of integrals and derivatives. These types of controllers have been significantly considered as a new approach in power engineering that can enhance the operation and stability of power systems. This paper represents a comprehensive overview of the FOPID controller and its applications in modern power systems for enhancing low-frequency oscillation (LFO) damping. In addition, the performance of this type of controller has been evaluated in a benchmark test system. It can be a driver for the development of FOPID controller applications in modern power systems. Investigation of different pieces of research shows that FOPID controllers, as robust controllers, can play an efficient role in modern power systems.

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Section: Reference Optimization Algorithmmentioning

confidence: 99%

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

et al. 2021

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“…Several techniques have been presented in the literature to control the multi area interconnected power system. [4][5][6][7] Due to comprehensibility, easy implementation, and practical application of conventional controllers, they have attracted much interest from the industrial point of view. The integral controllers have been used to take integral of control signal.…”

mentioning

confidence: 99%

A fractional order fuzzy PID for load frequency control of four-area interconnected power system using biogeography-based optimization

Mohammadikia

Aliasghary

2018

Int Trans Electr Energ Syst

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Summary In this study, a fractional order fuzzy proportional‐integral‐derivative (FOFPID) controller is designed for load frequency control of four‐area interconnected power systems. The model of system consists of three reheat thermal turbine units (Area1, Area2, and Area3) and one hydro power plant (Area4). Therefore, the proposed controller (with same and different parameters) is employed for the first three zones, and different controller parameters are considered for Area4 due to existence of hydro turbine. In order to minimize frequency and power tie‐line deviations in the system, biogeography‐based optimization (BBO) algorithm is utilized to tune controller parameters. Finally, the proposed technique is compared with three different controllers including PID, fuzzy PID (FPID), and fractional order PID. For a fair comparison, the parameters of aforesaid controllers are also tuned by BBO algorithm. The results of different simulation cases indicate that the FOFPID controller has a superior performance and transient response compared with the other approaches against various load disturbances.

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Fractional order control strategy for superconducting magnetic energy storage to take part effectually in automatic generation control issue of a realistic restructured power system

Morsali

2022

Journal of Energy Storage

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Modified group search optimisation‐based comparative performance evaluation of thyristor controlled series capacitor‐based fractional order damping controllers to improve load frequency control performance in restructured environment

Cited by 12 publications

References 35 publications

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

A fractional order fuzzy PID for load frequency control of four-area interconnected power system using biogeography-based optimization

Fractional order control strategy for superconducting magnetic energy storage to take part effectually in automatic generation control issue of a realistic restructured power system

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