Networked control of microgrid system of systems

Mahmoud, Magdi S.; Rahman, Mohamed Saif Ur; AL-Sunni, Fouad M.

doi:10.1080/00207721.2015.1005723

Cited by 11 publications

(3 citation statements)

References 41 publications

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“…irradiance and wind speed), which are difficult to predict [2, 3]. Therefore, these generators are usually integrated into microgrids (MGs), which include energy storage devices (ESDs) to balance generation and load [4]. An ESD is usually connected to a dc bus through a bidirectional dc/dc converter and a controller, which charges/discharges the ESD when there is an excess/lack of the generated power, to balance generation and load.…”

Section: Introductionmentioning

confidence: 99%

Charging/discharging system based on zeta/sepic converter and a sliding mode controller for dc bus voltage regulation

Henao‐Bravo¹,

Saavedra‐Montes

Ramos‐Paja

et al. 2020

IET Power Electronics

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This study proposes a charging/discharging system of energy storage devices (ESDs) to regulate the voltage of a dc bus. The proposed charging/discharging system is formed by a zeta/sepic converter and a sliding mode controller (SMC). The SMC uses a single sliding surface to regulate the dc bus voltage for the three operating modes of the charger/discharger converter (charging, discharging, and stand-by) and for ESD voltages lower, equal, or higher than the dc bus voltage. This study includes the stability analysis of the SMC and a design procedure of the SMC parameters. The charging/discharging system is simulated in PSIM, where the results confirm that the proposed SMC regulates the bus voltage in charging, discharging, and stand-by modes for different operating points of the system. Finally, the proposed charging/discharging system was constructed for demonstrating the feasibility of the solution for real applications. Moreover, the experimental results obtained in such a platform put into evidence the accuracy of the proposed SMC in regulating the bus voltage in all the possible conditions: bus voltage lower, equal or higher than ESD voltage, and during charge, discharge, and stand-by modes of the ESD.

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Section: Introductionmentioning

confidence: 99%

Charging/discharging system based on zeta/sepic converter and a sliding mode controller for dc bus voltage regulation

Henao‐Bravo¹,

Saavedra‐Montes

Ramos‐Paja

et al. 2020

IET Power Electronics

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show abstract

“…The generators of renewable sources and the li-ion battery must be coordinated in order to supply the energy required by the load and guarantee the balance of microgrid energy, which is the main objectif of the microgrids [9]. The microgrid is a low voltage distribution networks constitue by energetic resources, storage system, and control systems to supply the energy requirements of the selected application [10]. The microgrids concept can be applied to different application like smart homes [11] or smart village [12].…”

mentioning

confidence: 99%

Intelligent control of battery energy storage for microgrid energy management using ANN

Boujoudar

Azeroual

Elmoussaoui

et al. 2021

IJECE

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<span>In this paper, an intelligent control strategy for a microgrid system consisting of Photovoltaic panels, grid-connected, and li-ion battery energy storage systems proposed. The energy management based on the managing of battery charging and discharging by integration of a smart controller for DC/DC bidirectional converter. The main novelty of this solution are the integration of artificial neural network (ANN) for the estimation of the battery state of charge (SOC) and for the control of bidirectional converter. The simulation results obtained in the MATLAB/Simulink environment explain the performance and the robust of the proposed control technique.</span>

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“…A pseudo-decentralized control architecture is proposed in [19] that can be used for the optimization of Wireless Communication Networks (WCNs) with the help of a Global Supervisory Control (GSC) and local controllers. A networked control scheme based on a system of systems is proposed for microgrids in [20]. A MG with multiple DG units is treated as system of systems, and an output feedback control scheme is applied.…”

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confidence: 99%

A Novel Approach to Control of Autonomous Microgrid Systems

Abouheaf

Mahmoud

Hussain

2015

IJEE

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Abstract-In this paper, reinforcement learning techniques are proposed for the control of autonomous microgrids. A type of approximate dynamic programming method is used to solve the Bellman equation, namely heuristic dynamic programming. The proposed control strategy is based on actor-critic networks. The control strategy is designed using a dynamic model of islanded microgrids and makes use of an internal oscillator for frequency control. The proposed control technique is based on a value iterations algorithm which is implemented online. Using only partial knowledge of the microgrid dynamics, the simulation results showed that the proposed control technique stabilizes the system and is robust to the load disturbances.

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Networked control of microgrid system of systems

Cited by 11 publications

References 41 publications

Charging/discharging system based on zeta/sepic converter and a sliding mode controller for dc bus voltage regulation

Charging/discharging system based on zeta/sepic converter and a sliding mode controller for dc bus voltage regulation

Intelligent control of battery energy storage for microgrid energy management using ANN

A Novel Approach to Control of Autonomous Microgrid Systems

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