Control of microgrid — A review

Satish, B K; Bhuvaneswari, S.

doi:10.1109/icage.2014.7050138

Cited by 21 publications

(9 citation statements)

References 36 publications

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“…In addition to its low cost, the main advantage of this method is that it does not need any communication links between DG units. However, this method causes system instability when the slop of the droop characteristics is too small [44]. Also, the deviation in system voltage and frequency from their specified values and hence, it cannot perform a proper power‐sharing in MG. A secondary controller is required as it cannot make a zero change in system frequency and voltage [45].…”

Section: Droop Control Methodsmentioning

confidence: 99%

Robust adaptive H‐infinity based controller for islanded microgrid supplying non‐linear and unbalanced loads

et al. 2019

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This study introduces a proposed control method for microgrids (MGs) in islanded (off-grid) mode. The proposed control method is developed by modifying the droop control method using H-infinity controller. In this control method, the droop control loop, current and voltage control loops are adjusted to respond to system load variation. The proposed method is an adaptive control one as it regulates the system voltage and frequency to their nominal values after system load variations. Also, it is a repetitive control method as it depends on the internal model principle that provides good performance for voltage and current error tracking. To prove the applicability and effectiveness of the proposed method, it is applied to a test system using MATLAB/Simulink under three different loading conditions. The results are compared with those of droop control and they prove the effectiveness of the proposed method in adjusting MGs under the off-grid mode of operation. Also, a system stability analysis is performed based on root locus and system step response. Robustness analysis is performed to prove the ability of the proposed controller to restore the system performance after the fault clearance.

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Section: Droop Control Methodsmentioning

confidence: 99%

Robust adaptive H‐infinity based controller for islanded microgrid supplying non‐linear and unbalanced loads

et al. 2019

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“…For comparison, cooperate control laws without finite-time convergence demand are also studied. For systems (8) and (9), the following control laws will also synchronise the frequencies of DGs to their references and share the active power under switching topology Fig. 9 shows the dynamics of DG frequencies after applying the proposed secondary control.…”

Section: Case Studiesmentioning

confidence: 99%

“…The frequency and voltage of MG are dominated by the main grid in grid-connection mode. Once the MG is disconnected from the main grid, voltage and frequency will lose support from the main grid, and the active power between DGs and loads will be unbalanced [6][7][8]. To deal with the problems in islanded mode, hierarchical control has been used [5] which includes inner control loop, primary control, secondary control and tertiary control.…”

Section: Introductionmentioning

confidence: 99%

Distributed finite‐time cooperative control of droop‐controlled microgrids under switching topology

Wang

Zhang

2017

IET Renewable Power Generation

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As a small-scale power system, microgrid (MG) will lose support from the main grid if it switches to islanded mode because of the pre-planned scheduling or unplanned disturbances. To synchronise the frequency and voltage to their reference values, a secondary frequency and voltage cooperative control is proposed in this study. The proposed secondary control can synchronise the frequency and voltage to their reference values in finite time and achieve the active power sharing simultaneously. Moreover, it is suitable for switching communication architecture. The MG is considered as multi-agent systems and the system stability is proved by multi-agent theory and finite-time stability theory. A simulation system is established in Matlab/Simulink environment, and the results show the effectiveness of the proposed controller.

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“…Fossil fuel-based energy sources, such as gas, coal, and diesel, are the main energy resources of traditional generators in the power system, and by enhancing the load demands, fossil fuel energy production leads to air pollution [1][2][3]. Thus, developing a renewable energy sources (RES)-based system is essential to provide reliable, low pollution, and costless energy production [4][5][6]. A microgrid is an interface between RES (such as wind turbine (WT), fuel cells, and photovoltaics (PV)) and grid, which provides electricity for loads directly [7].…”

Section: Introductionmentioning

confidence: 99%

Distributed Control Methods and Impact of Communication Failure in AC Microgrids: A Comparative Review

et al. 2019

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The objectives of this paper are to review and compare the distributed control methods in AC microgrids and also to identify the impact of communication failure on this type of the controller. The current AC microgrids are distinguished from the traditional power system topologies because of the high penetration of advanced control methods, measurements, sensors, power electronic devices, and communication links. Also, because of the increasing integration of renewable energy sources, control strategy for congestion management, frequency control, and optimal dispatch of microgrids has become more complicated. This paper explains the characteristics and features of distributed control systems and discusses the challenges of these approaches. In addition, a comprehensive review of the advantages and disadvantages of these techniques are explained in detail. On the other hand, the possible challenges, related to communication failure, noise, delay, and packet dropout on the operation of the distributed controller are presented, and several techniques, which reduce the impact of communication failure of the distributed controller, are compared. This comprehensive study on distributed control systems reveals the challenges in and future possible studies on this issue.

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Control of microgrid — A review

Cited by 21 publications

References 36 publications

Robust adaptive H‐infinity based controller for islanded microgrid supplying non‐linear and unbalanced loads

Robust adaptive H‐infinity based controller for islanded microgrid supplying non‐linear and unbalanced loads

Distributed finite‐time cooperative control of droop‐controlled microgrids under switching topology

Distributed Control Methods and Impact of Communication Failure in AC Microgrids: A Comparative Review

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