Adaptive Frequency Control for Hybrid Wind-Diesel power system using system estimator

Supriyadi, Ade; Takano, Hirotaka; Murata, Junichi; Goda, Tadahiro; Hashiguchi, Takuhei

doi:10.1109/powercon.2012.6401449

Cited by 7 publications

(8 citation statements)

References 13 publications

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“…In hybrid power system, the diesel generator (DG) is considered as an extra unit that provides electrical power output via a synchronous generator that is connected to the diesel engine [45]. The transfer function of DG can be described as follows [46]:…”

Section: E Diesel Generator Modelmentioning

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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Section: E Diesel Generator Modelmentioning

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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“…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%

“…K fc is chosen because it is the most sensitive parameter in the system. It means that the control response of the power system is very sensitive for K fc changes [6]. The simulation results are presented in Fig.…”

Section: Casementioning

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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“…In [8], performance analysis of an isolated wind-diesel hybrid power system employing permanent magnet induction generator has been presented by Sharma and Bhatti. A general simulation algorithm for the accurate assessment of isolated diesel-wind turbine systems interaction has been presented in [9]. In [10], system estimation approach for frequency control in hybrid wind-diesel power system has been studied by Supriyadi et al and, thus, the list goes so on.…”

Section: Literature Reviewmentioning

confidence: 99%

Quasi‐oppositional harmony search algorithm and fuzzy logic controller for load frequency stabilisation of an isolated hybrid power system

Mahto

Mukherjee

2015

IET Generation, Transmission & Distribution

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The studied isolated hybrid distributed generation (IHDG) model of this paper consists of a wind turbine generator and a diesel engine generator. This work presents a study for improving both frequency and power deviation profiles of the studied IHDG model with the help of capacitive energy storage (CES) unit. A novel derivative-free meta-heuristic method, termed as quasi-oppositional harmony search (QOHS) algorithm, is applied to determine the optimal frequency and power deviation responses by tuning the tunable parameters of the studied IHDG model. The two fuzzy logic controllers (FLCs) are used (one at diesel unit and the other at wind generator side) to generate the output levelling frequency and power command. Each fuzzy control has two inputs, either frequency or power deviation and their respective derivatives. The two proposed FLCs are designed with QOHS algorithm for the studied CES equipped IHDG model. Performance study of the model has been carried out under different perturbation conditions. The results presented in this study demonstrate that minimum frequency and power deviations have been achieved by using the two proposed FLCs for the CES equipped studied IHDG model.

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Adaptive Frequency Control for Hybrid Wind-Diesel power system using system estimator

Cited by 7 publications

References 13 publications

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

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

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

Quasi‐oppositional harmony search algorithm and fuzzy logic controller for load frequency stabilisation of an isolated hybrid power system

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