Frequency control of an island microgrid using reset control method in the presence of renewable sources and parametric uncertainty

Banki, Tohid; Faghihi, Faramarz; Soleymani, Soodabeh

doi:10.1080/21642583.2020.1801533

Cited by 17 publications

(13 citation statements)

References 21 publications

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“…The design of fractional-order proportional integral derivative (FOPID) controllers for uncertain MGs has been proposed in [10] and the issues of disturbance inputs as well as parametric uncertainties are considered. In [11], the reset control approach was proposed to control the frequency of the islanded MG with load disturbances and parametric uncertainties. In [12], a novel robust mixed control scheme based on a fuzzy technique and PI controller is designed to reduce frequency oscillations in the MG.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal frequency regulation in an uncertain islanded microgrid: A modified direct search algorithm

Abolpour

Javanmardi

Dehghani

et al. 2022

IET Renewable Power Gen

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This paper presents a methodology for frequency regulation in a microgrid involving renewable energy sources (RES) using a dynamic controller, which is an output feedback controller (OFC). The parameters of OFC are tuned by searching the design space of the controller. Since the RES model is not exactly known, the uncertain model is derived and the OFC is considered for it. The goal of controller tuning is to find appropriate parameters of the controller such that the norm of frequency deviations, even in presence of uncertainties in the RES parameters is minimized. An algorithm based on searching the controller design space is suggested to find the suitable controller gains. The algorithm assumes the controller parameters lie in a convex space and searches the space systematically such that an appropriate solution is found. The method is proved mathematically and two theorems are mentioned, accordingly. Finally, a simulated model of a RES is utilized for algorithm evaluation and the results demonstrate the algorithm capability in optimal frequency regulation.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal frequency regulation in an uncertain islanded microgrid: A modified direct search algorithm

Abolpour

Javanmardi

Dehghani

et al. 2022

IET Renewable Power Gen

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“…The required O(n 3 ) operations for solving (18) is substantially reduced when A+BK is SVD decomposed as below where S is a diagonal matrix,:…”

Section: Sparsity Promotionmentioning

confidence: 99%

“…In [17], a robust state feedback centralized controller in terms of LMI constraints has been developed. Implementation of the nonlinear reset control in an islanded MG including multiple renewable energy sources and DGs with parametric uncertainty has been discussed in [18]. In [19], robust voltage control of an uncertain islanded MG using the integration of back-stepping and fractional-order sliding mode is elaborated.…”

Section: Introductionmentioning

confidence: 99%

Robust decentralized control of interval DC linked hybrid microgrids network

Nabi

Seyedtabaii

2022

IET Control Theory & Appl

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Here, a robust sparse decentralized controller (RSDC) for uncertain DC-linked hybrid microgrids is designed. The robustness against load/generation uncertainty is guaranteed using Kharitonov's stability criteria and sparsity is promoted by appending an l 1 term to the typical Linear Quadratic Regulator (LQR). To improve the convergence rate, the differentiable term of the composite cost function is second order approximated, the coordinate descent technique is adopted, and the "active set" idea which limits the search to the effective regions is employed. In addition, the level of sparsity is automatically and optimally adjusted not to compromise the system's stability and robustness. The algorithm is applied to a 69-bus (consist of 7 hybrid microgrid) distribution system and the controller sparsity percentage, design convergence rate, and performances are compared with the H 2 and H ∞ designs. The results indicate that the proposed method is superior to the others in all aspects, which are presented by the numerical indices, the time-domain transient responses, and the closed-loop poles map.

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“…In order to investigate the performance of the used control techniques, we consider a small electrical power system composed of a thermal generator based on the reheat steam turbine and the wind generation system based on the DFIG generator, the diagram of the adopted system frequency response is depicted in the following figure [20][21]. The simulations were performed using Matlab/Simulink software.…”

Section: Modeling Of Studied Power Systemmentioning

confidence: 99%

Contribution of Variable Speed Wind Turbine Generator based on DFIG using ADRC and RST Controllers to Frequency Regulation

Chakib

Nasser

Essadki

2021

IJRER

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In the interconnected power systems, there must always be a balance between the amount of electricity produced and the amount of electricity consumed in order to keep the grid frequency stable and nearby to its nominal value. Therefore, any change in consumption can lead to imbalance, instability, load shedding and system frequency disturbances. With the increase of wind energy penetration level in the electrical network, it has become necessary to make wind generators participate in frequency regulation. The fundamental objective of this research paper is to investigate the ability of wind turbine at variable speed equipped with doubly fed induction generator (DFIG) to contribute in the grid frequency regulation. For the purpose of the contribution in the frequency regulation, the wind turbine system must inject a supplementary power support into the electrical network. To do that, two control strategies are adopted: the first one is the synthetic inertia control which uses the kinetic energy reserved and stocked in the turbine and generator rotors of the wind system. The second one is the droop frequency control which includes the deloading method that allows to the VSWT to create a certain reserve active power. Then, each of these control techniques is implemented and their performances are evaluated in case of frequency variation. Moreover, the control structure that uses the combination of these two techniques is also implemented and studied. The active disturbance rejection control strategy (ADRC), the classical PI controller and the polynomial RST controller have been adopted to command the rotor side converter (RSC) of the DFIG which allows it to provide, in case of frequency fault, a support for the power system into the grid by adjusting the rotor speed. The performance of these controllers are tested and compared and the simulation is performed by MATLAB/Simulink simulation software.

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Frequency control of an island microgrid using reset control method in the presence of renewable sources and parametric uncertainty

Cited by 17 publications

References 21 publications

Optimal frequency regulation in an uncertain islanded microgrid: A modified direct search algorithm

Optimal frequency regulation in an uncertain islanded microgrid: A modified direct search algorithm

Robust decentralized control of interval DC linked hybrid microgrids network

Contribution of Variable Speed Wind Turbine Generator based on DFIG using ADRC and RST Controllers to Frequency Regulation

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