Distributed secondary voltage regulation for autonomous microgrid

Begum, Mahmuda; Abuhilaleh, Mohammad; Li, Li; Zhu, Jianguo

doi:10.1109/icems.2017.8056501

Cited by 10 publications

(13 citation statements)

References 32 publications

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“…These systems usually offer precise power-sharing among converters in microgrids [28,29]. In case of loss or outage of the master controller, local autonomous controllers (decentralized structure) are needed to fulfill the master controller failure [32][33][34][35]. In a distributed control system, each microgrid is allowed to only communicate with its nearby neighbors.…”

Section: Literature Survey and Contributionsmentioning

confidence: 99%

A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles

2019

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Plug-in Hybrid Electric Vehicles (PHEVs) have the potential of providing frequency regulation due to the adjustment of power charging. Based on the stochastic nature of the daily mileage and the arrival and departure time of Electric Vehicles (EVs), a precise bidirectional charging control strategy of plug-in hybrid electric vehicles by considering the State of Charge (SoC) of the batteries and simultaneous voltage and frequency regulation is presented in this paper. The proposed strategy can control the batteries charge which are connected to the grid, and simultaneously regulate the voltage and frequency of the power grid during the charging time based on the available power when different events occur over a 24-h period. The simulation results prove the validity of the proposed control strategy in coordinating plug-in hybrid electric vehicles aggregations and its significant contribution to the peak reduction, as well as power quality improvement. The case study in this paper consists of detailed models of Distributed Energy Resources (DERs), diesel generator and wind farm, a generic aggregation of EVs with various charging profiles, and different loads. The test system is simulated and analyzed in MATLAB/SIMULINK software.

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Section: Literature Survey and Contributionsmentioning

confidence: 99%

A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles

2019

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“…The secondary control level is thus introduced as a complement of primary control [2,5]. Limitations of centralized (single-point of failure) and decentralized (poor dynamic and steady-state response) control strategies have led to distributed control structures [3,6]. Recently, multiagent structures or consensus algorithms [7,8] have received increased attention for their simple control structure utilizing sparse communication systems, improved reliability and acceptable dynamic/steady-state performance [6,[8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…Limitations of centralized (single-point of failure) and decentralized (poor dynamic and steady-state response) control strategies have led to distributed control structures [3,6]. Recently, multiagent structures or consensus algorithms [7,8] have received increased attention for their simple control structure utilizing sparse communication systems, improved reliability and acceptable dynamic/steady-state performance [6,[8][9][10]. Nevertheless, the dynamic response of the MG considering distributed secondary control (DSC) could be unexpected in regard to the system oscillation, reaction time, stability margins [10] and steady-state behaviour.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids

et al. 2021

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This research suggests a novel distributed cooperative control methodology for a secondary controller in islanded microgrids (MGs). The proposed control technique not only brings back the frequency/voltage to its reference values, but also maintains precise active and reactive power-sharing among distributed generation (DG) units by means of a sparse communication system. Due to the dynamic behaviour of distributed secondary control (DSC), stability issues are a great concern for a networked MG. To address this issue, the stability analysis is undertaken systematically, utilizing the small-signal state-space linearized model of considering DSC loops and parameters. As the dynamic behaviour of DSC creates new oscillatory modes, an intelligent fuzzy logic-based parameter-tuner is proposed for enhancing the system stability. Accurate tuning of the DSC parameters can develop the functioning of the control system, which increases MG stability to a greater extent. Moreover, the performance of the offered control method is proved by conducting a widespread simulation considering several case scenarios in MATLAB/Simscape platform. The proposed control method addresses the dynamic nature of the MG by supporting the plug-and-play functionality, and working even in fault conditions. Finally, the convergence and comparison study of the offered control system is shown.

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“…Additionally, they tune a voltage controller to stabilize the trade between this variable and the reactive power. In this regard, additional works based on the consensus protocol focused on the improvement of voltage and frequency regulation having into account the load sharing are described in [2], [3], [4], and [5]. Besides the voltage, frequency and power regulation, the interaction reduction among voltage controllers is an important aspect taken into account in the study of microgrids.…”

Section: Introductionmentioning

confidence: 99%

A Distortion-Based Potential Game for Secondary Voltage Control in Micro-Grids

et al. 2020

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In this work, we present a multi-agent learning model based on the maximum entropy (MAXEnt) and the rate distortion function to define, respectively, the environment of the agents and their understanding about it. The avoidance of redundant information under distortion conditions is used to define a distortion-based potential function that is minimized in order to find an equilibrium point in a potential game setting, in which the Lagrange multiplier β, used as input in the Blahut-Arimoto algorithm, determines the rationality in the learning process. The model performance is evaluated in a secondary voltage controller in order to achieve reactive power sharing between distributed generators (DGs) in a micro-grid. Simulation results demonstrate a good response in terms of reactive power distribution when the load is increased in a DG without considerable affectations in the voltage stability. INDEX TERMS Maximum entropy, micro-grids, potential games, rate distortion function.

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Distributed secondary voltage regulation for autonomous microgrid

Cited by 10 publications

References 32 publications

A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles

A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles

Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids

A Distortion-Based Potential Game for Secondary Voltage Control in Micro-Grids

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