Frequency control of isolated network with wind and diesel generators by using fuzzy logic controller

Hasanien, Hany M.; Muyeen, S. M.; Tamura, Junji

doi:10.1109/icems.2009.5382828

Cited by 18 publications

(12 citation statements)

References 8 publications

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“…In [1], a fuzzy logic control was designed to modify the DL consumption according to the system Df and its rate of change (dDf =dt).…”

Section: Frequency Controlmentioning

confidence: 99%

“…The fuzzy frequency control designed in this paper follows the same structure as the control in [1]; however, the membership functions designed here present different widths. The controller design is based on the results of a previously used PID controller.…”

Section: Frequency Controlmentioning

confidence: 99%

“…In [1] and [2], frequency is regulated through dump loads (DL), while a battery energy storage system (BESS) is used as the main frequency regulator in [3] and [4].…”

Section: Introductionmentioning

confidence: 99%

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Frequency regulation by fuzzy and binary control in a hybrid islanded microgrid

Manjarres

Malik

2014

J. Mod. Power Syst. Clean Energy

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Islanded microgrids must be self-sufficient in terms of frequency and voltage control due to their islanded operation. A control strategy for frequency regulation by combining the operation of a wind generator, a diesel generator, a battery energy storage system and a dump load in a microgrid is proposed in this paper. In the proposed strategy, the control task is partitioned into two subtasks: 1) choosing the appropriate element to be used for regulation, and 2) providing frequency regulation. A global controller chooses the element to operate. Then, the frequency regulation is provided by separate individual controllers. The proposed control strategy is tested on a microgrid with mixed types of generation and modeled on Simulink. By monitoring the power of individual elements and system frequency, it is shown that the proposed control strategy operates efficiently. The proposed strategy facilitates the integration of renewable energy sources and enhances frequency regulation.

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“…In [1], a fuzzy logic control was designed to modify the DL consumption according to the system Df and its rate of change (dDf =dt).…”

Section: Frequency Controlmentioning

confidence: 99%

Section: Frequency Controlmentioning

confidence: 99%

See 1 more Smart Citation

Frequency regulation by fuzzy and binary control in a hybrid islanded microgrid

Manjarres

Malik

2014

J. Mod. Power Syst. Clean Energy

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“…While system stability with wind power integration in large interconnected grids has improved with advancements in wind turbine controls [2][3][4][5][6][7][8][9], considerably less focus has been placed on the stability of WPIM systems [10][11][12]. The lack of focus on WPIM systems has been mainly due to the complete isolation from and lack of impact on large interconnected grids.…”

Section: Introductionmentioning

confidence: 99%

Distributed self-sensing secondary loads for frequency regulation in wind-powered islanded microgrids

Wies

Janssen

Peterson

2015

2015 IEEE Power &Amp; Energy Society General Meeting

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Frequency regulation in wind-powered islanded microgrids (WPIM) is critical for system stability given unpredictable dynamics from variations in wind generation and demand. Traditional methods of frequency regulation in WPIM have used classical secondary load controllers (CSLC) in a centralized approach to buffer wind generation and demand events. This study investigates the feasibility of using a network of self-sensing distributed secondary loads (SSDSL) consisting of electric-thermal storage (ETS) to assist in frequency regulation in WPIM. Individual SSDSL sense the local grid frequency and activate resistive load elements in order to absorb surplus energy during high wind events. Four major parameters: 1) zero-order hold time 2) full response point 3) network capacity ratio, and 4) coordination mode, are used in a dynamic model to explore the effect of SSDSL on frequency regulation. SSDSL are shown to assist with frequency regulation in WPIM.

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“…Wind-diesel system has been the topic of numerous researches in the past decades and various control techniques have been proposed in literature for blade pitch control. Each method is suitable for a specific problem, depending on the nature of the control problem such as ANN (artificial neural network) [3,4], GA (genetic algorithm) [5][6][7][8], FLC (fuzzy logic control) [9][10][11][12], PSO (particle swarm optimization) [13,14], BCO (bee colony optimization) [15], BFO (bacterial foraging optimization) [16], and VSC (variable structure controllers) [17]. However, due to the fact that in wind-diesel problem each control area can have random load changes and random wind speed, many of these methods may not be useful as they require substantial amount of training based on predicted scenarios and specific system parameters such as ANN.…”

Section: David Publishingmentioning

confidence: 99%

Control Scheme of Hybrid Wind-Diesel System with SMES Using NSGA-II

Lotfy¹,

Senjyu²,

Farahat³

et al. 2017

JEPE

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Robust control approach of hybrid wind-diesel power system is proposed in this paper. PID (proportional integral derivative) controller is designed in the blade pitch system of wind turbine to improve the system dynamic performance. Furthermore, to minimize the system oscillations, SMES (super-conducting magnetic energy storage) with first order lead-lag controller is implemented to supply and absorb active power quickly trying to reach power generation/demand balance and thereby control system frequency. Minimization of frequency and wind output power deviations are considered as two objective functions for the PID controller of wind turbine. Also, mitigating frequency and diesel output power deviations are presented as two objective functions of the lead-lag controller of SMES. NSGA-II (modified version of non-dominated sorting genetic algorithm) is used to tune the controllers' parameters to get an optimal response. The effectiveness and robustness of the proposed control technique are investigated under different operating conditions using Matlab environment. The simulation results confirm the ability of the controllers to damp all frequency and output powers fluctuations and enhance the stability and reliability of the hybrid power system.

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Frequency control of isolated network with wind and diesel generators by using fuzzy logic controller

Cited by 18 publications

References 8 publications

Frequency regulation by fuzzy and binary control in a hybrid islanded microgrid

Frequency regulation by fuzzy and binary control in a hybrid islanded microgrid

Distributed self-sensing secondary loads for frequency regulation in wind-powered islanded microgrids

Control Scheme of Hybrid Wind-Diesel System with SMES Using NSGA-II

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