Robust Pitch Controller Design in Hybrid Wind-Diesel Power Generation System

Supriyadi, Ade; Ngamroo, Issarachai; Kaitwanidvilai, Somyot; Kunakorn, A.; Hashiguchi, Takuhei; Goda, Tadahiro

doi:10.1109/iciea.2008.4582678

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…In [19], [20], design of robust battery controller in a hybrid wind-diesel power system by H∞ control has been proposed. In this work, the controller has presented high robustness controller against various uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Herbandono

Nandar

2021

IJPEDS

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<span lang="EN-US">This paper is interested to study power system stability in smart grid power system using wind characteristic in south of Yogyakarta, Indonesia. To overcome the intermittent of wind characteristics, this paper presents adaptive robust control design to enhance power system stabilization. The online identification system is used in this research, which updated whenever the estimated model mismatch exceeds predetermined bounds. Then genetic algorithm (GA) is applied to re-tune parameters controller based on the estimated model. The structure of controller is proportional integral (PI) controller due to the most applicable in industry, simple structure, low cost and high reliability. Robustness of controller is guaranteed by taking system uncertainties into consideration. The performance of the proposed controller has been carried out in a hybrid wind-diesel power system in comparison with previous work controller. Simulation results confirm that damping effect of the proposed controllers are much better that of the conventional controllers against various operating.</span>

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Section: Introductionmentioning

confidence: 99%

Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Herbandono

Nandar

2021

IJPEDS

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“…As in an extended period of overcast sky or in the case of a decrease in wind speed for several days. As a result, wind power production is variable and unpredictable [1,2,4,7].…”

Section: Introductionmentioning

confidence: 99%

“…Another vision is to use HRES effectively to ensure reliability and continuity of power supply in remote areas, reducing the impact of uncertainty on the network, uninterruptible service and cost savings [5,8]. Such a system based on RES combines between several sources of energy such as photovoltaic solar, wind energy, micro-hydraulics, fuel cells and also conventional generators for the assurance of having energy on time [7,9].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic control of hybrid systems including renewable energy in microgrids

Feddaoui

Toufouti

Jamel

et al. 2020

IJECE

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With a growing demand for more energy from subscribers, a traditional electric grid is unable to meet new challenges, in the remote areas remains the extension of the conventional electric network very hard to do make prohibitively expensive. Therefore, a new advanced generation of traditional electrical is inevitable and indispensable to move toward an efficient, economical, green, clean and self-correcting power system. The most well-known term used to define this next generation power system is Micro Grid (MG) based on renewable energy sources (RES). Since, the energy produced by RES are not constant at all times, a wide range of energy control techniques must be involved to provide a reliable power to consumers. To solve this problem in this paper we present a Fuzzy Logic Control of isolated Hybrid Systems (HRES) Including Renewable Energy in Micro-Grids to maintain a stability in voltage and frequency output especially in the standalone application. The considered HRES combine a wind turbine (WT) and photovoltaic (PV) panels as primary energy sources and an energy storage system (ESS) based on battery as a backup solution. Simulation results obtained from MATLAB/Simulink environment demonstrate the effectiveness of the proposed algorithm in decreasing the electricity bill of customer.

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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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Robust Pitch Controller Design in Hybrid Wind-Diesel Power Generation System

Cited by 10 publications

References 11 publications

Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Fuzzy logic control of hybrid systems including renewable energy in microgrids

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

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