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

Mohammadikia, Reza; Aliasghary, Mortaza

doi:10.1002/etep.2735

Cited by 55 publications

(32 citation statements)

References 52 publications

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“…On the other hand, fractional-order control theories and applications of traditional integer-order and fractional-order systems have attracted increasing attention over the past two decades [24]. The fractional-order PI/PID control algorithm has been considered as one of the most widely and successfully used methods in complex systems, such as servo systems [25,26], a nonlinear vertical tank system [27], electric balance vehicle system [28], an induction motor drive system [29], permanent magnetic synchronous generator [30], automatic voltage regulator systems [31], single-area delayed power systems [32], and multi-area interconnected power systems [33]. One particular concern is the fractional-order frequency control of an isolated microgrid.…”

Section: Introductionmentioning

confidence: 99%

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

et al. 2018

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Optimal frequency control of an islanded microgrid has been a challenging issue in the research field of microgrids. Recently, fractional-order calculus theory and some related control methods have attempted to handle this issue. In this paper, a novel fractional-order model predictive control (FOMPC) method is proposed to achieve the optimal frequency control of an islanded microgrid by introducing a fractional-order integral cost function into model predictive control (MPC) algorithm. Firstly, a discrete state-space model is derived for the optimal frequency control problem of an islanded microgrid. Afterward, a fractional-order integral cost function is designed to guide the FOMPC algorithm to obtain optimal control law by borrowing the Grünwald-Letnikov (GL) definition of fractional order calculus. Six simulation studies have been carried out to illustrate the superiority of FOMPC to conventional MPC under dynamical load disturbances, perturbed system parameters and random dynamical power fluctuation of wind turbines.

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Section: Introductionmentioning

confidence: 99%

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

et al. 2018

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“…Using fuzzy theory, fuzzy language variables and fuzzy logic reasoning, the fuzzy control rules are upgraded to numerical operations, and the computer USES programs to realize these control rules. In this way, computer simulation can be used to automatically control the controlled object [22,23].…”

Section: Fuzzy Controllermentioning

confidence: 99%

“…Furthermore, the fuzzy logic controller is a sophisticated technique that is easy to design and implement. In the past decade, many researchers have attempted to combine conventional proportional plus integral plus derivative (PID) controllers with fuzzy logic to improve controller performance [22][23][24]. The fuzzy logic controller has two input signals, and the output signal of the fuzzy logic controller is the input signal of the conventional PID controller.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Control of Wind Power Grid Integration Based on a Permanent Magnet Synchronous Generator Using a Fuzzy Logic System with Linear Extended State Observer

Long

Zhou

et al. 2019

Energies

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Recently, wind energy conversion systems (WECSs) have attracted attention due to their effective application in renewable energy sources. It is a complex system with multi-variables, strong coupling, non-linearity, and variable parameters; however, traditional control systems are inadequate in answering the demands of complex systems. In order to solve the complexity and improve the transient stability during grid faults and power fluctuations, this paper proposes a fuzzy logic system with the linear extended state observer (FLS-LESO) applied to WECSs based on a permanent magnet synchronous generator (PMSG). The FLS-LESO consists of a fuzzy logic controller, a conventional PD controller, and the linear extended state observer (LESO). This paper analyzes the mathematical model of a wind power system and combines it with LESO to improve the estimation accuracy of the observer and further improve the control performance. In the simulation study, the control performance of the FLS-LESO was also tested under various operating conditions using the MATLAB/Simulink simulation platform to verify the correctness and effectiveness of the control system.

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“…Ref. [22] studied Fuzzy-PID with fractional order based LFC incorporated in multi-interconnected system and optimized via BBO. Ref.…”

Section: Introductionmentioning

confidence: 99%

Multi-Verse Optimizer for Model Predictive Load Frequency Control of Hybrid Multi-Interconnected Plants Comprising Renewable Energy

et al. 2020

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This paper presents a recent metaheuristic optimization approach of multi-verse optimizer (MVO) to design load frequency control (LFC) based model predictive control (MPC) incorporated in large multi-interconnected system. The constructed system comprises six plants with renewable energy sources (RESs). MVO is employed to determine the optimal parameters of MPC-LFC to achieve the desired output of the interconnected system in case of load disturbances. The presented system comprises reheat thermal, hydro, photovoltaic (PV) model with maximum power point tracker (MPPT), wind turbine (WT), diesel generation (DG), and superconducting magnetic energy storage (SMES). The integral time absolute error (ITAE) of the frequencies and tie-line powers deviations is proposed as objective function. The effects of governor dead zone and generation rate constraint (GRC) of thermal plants are considered. The performance of the proposed MPC optimized via MVO is compared with the other designed via intelligent water drops (IWD) and genetic algorithm (GA). Additionally, the robustness of the proposed MPC-LFC based MVO with variation of the system parameters is presented. The obtained results confirmed the superiority and reliability of the proposed controller compared to the others.

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

Cited by 55 publications

References 52 publications

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

Analysis and Control of Wind Power Grid Integration Based on a Permanent Magnet Synchronous Generator Using a Fuzzy Logic System with Linear Extended State Observer

Multi-Verse Optimizer for Model Predictive Load Frequency Control of Hybrid Multi-Interconnected Plants Comprising Renewable Energy

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