Distributed, Bounded and Finite-Time Convergence Secondary Frequency Control in an Autonomous Microgrid

Deng, Zicong; Xu, Yinliang; Sun, Hongbin; Shen, Xinwei

doi:10.1109/tsg.2018.2810287

Cited by 55 publications

(54 citation statements)

References 34 publications

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“…In the past decade, microgrids have been widely studied because of their potential environmental and economic benefits in regard to the integration distributed energy resources, especially renewable energy systems [1][2][3]. Due to the different types of distributed energy resources, dynamical load characteristics, power quality constraints, and perturbed system parameters, how to optimize control of a microgrid, for it to operate well under grid-connected and islanded modes, has been a challenging issue [4][5][6]. When a microgrid is islanded, an optimal controller should be designed to minimize the frequency deviations.…”

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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“…Since then, the application of finite-time protocols over MGs have been extensively reported [146], [147], [149], [163], [164]. For complementing the algorithms described above, the ψ function of (4) can be saturated in magnitude avoiding performance problems [107], [151]. Some strategies include saturation to state-variation, i.e., they approximate the sign function to other smooth functions, such as hyperbolic tangent [151].…”

Section: ) Finite-time Consensusmentioning

confidence: 99%

Distributed Control Strategies for Microgrids: An Overview

et al. 2020

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There is an increasing interest and research effort focused on the analysis, design and implementation of distributed control systems for AC, DC and hybrid AC/DC microgrids. It is claimed that distributed controllers have several advantages over centralised control schemes, e.g., improved reliability, flexibility, controllability, black start operation, robustness to failure in the communication links, etc. In this work, an overview of the state-of-the-art of distributed cooperative control systems for isolated microgrids is presented. Protocols for cooperative control such as linear consensus, heterogeneous consensus and finitetime consensus are discussed and reviewed in this paper. Distributed cooperative algorithms for primary and secondary control systems, including (among others issues) virtual impedance, synthetic inertia, droopfree control, stability analysis, imbalance sharing, total harmonic distortion regulation, are also reviewed and discussed in this survey. Tertiary control systems, e.g., for economic dispatch of electric energy, based on cooperative control approaches, are also addressed in this work. This review also highlights existing issues, research challenges and future trends in distributed cooperative control of microgrids and their future applications.

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“…This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) adopts asymptotic approach for frequency restoration and powersharing. Following this line, in [23], a saturation function is exploited for finite-time frequency controller design to limit the control input within bound, but the voltage control method is realised via an asymptotic controller Similarly, Deng et al [24] also present a finite-time bounded control scheme only for frequency and active power regulation. In [25], a low voltage distributed finite-time control approach is presented with an adaptive virtual impedance control to improve the active/reactive power-sharing accuracy.…”

Section: Introductionmentioning

confidence: 99%

Distributed finite‐time information discovery‐based secondary restoration for islanded microgrids

Shrivastava¹,

Subudhi²

2020

IET Smart Grid

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A new finite-time secondary voltage and frequency restoration scheme for an islanded microgrid (MG) is proposed in this study. All distributed generators (DGs) do not have access to the voltage and frequency reference value which makes their control more challenging. Therefore, a finite-time Information Discovery Scheme (IDS) is incorporated into the distributed secondary control scheme. The IDS provides local estimates of the global references of voltage and frequency for DGs in finitetime, and distributed control scheme uses this information to restore the voltage and frequency of MG to their reference values while accurately sharing the active power among the DGs in finite-time. The proposed control scheme is implemented on a sparse communication network and obviates the need for a central controller thereby reducing the risk of single-point-failure. The proof for finite-time restoration and restoration time upper-bound are derived using Lyapunov theory. The effectiveness of the proposed control scheme is verified through simulation of an MG test system in MATLAB/SimPowerSystem environment for sudden load variation and time-varying communication topology. The proposed control scheme supports plug and play capability and exhibits better convergence performance and disturbance rejection than the asymptotic controller based on neighbourhood tracking error.

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Distributed, Bounded and Finite-Time Convergence Secondary Frequency Control in an Autonomous Microgrid

Cited by 55 publications

References 34 publications

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

Distributed Control Strategies for Microgrids: An Overview

Distributed finite‐time information discovery‐based secondary restoration for islanded microgrids

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