Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification

Abdali, Ali; Mazlumi, Kazem; Guerrero, Josep M.

doi:10.3390/app10248847

Cited by 19 publications

(3 citation statements)

References 19 publications

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“…Most of the earlier research in the control and stability analysis of DC MG considers single or two DC/DC converters in their analysis and ignores the rest of the DC MG. Moreover, the PV source is generally modelled by a constant voltage source [31]. On the contrary, in this paper, the PV source is modelled by a well-known and practical model [8,10].…”

Section: Literature Reviewmentioning

confidence: 99%

On the modelling, analysis, and design of a suboptimal controller for a class of wind/PV/battery based DC microgrid

Arabshahi

Torkaman

Bagheri

et al. 2021

IET Renewable Power Gen

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This study deals with the comprehensive modelling, analysis, and control of a DC microgrid (MG) in islanded mode. The proposed DC MG comprises a wind turbine, a photovoltaic (PV) source, battery storage, DC/DC source, and load side converters with DC loads. To this aim, a circuit‐oriented modelling of the whole system is developed. The PV source is modelled with a single‐diode electrical circuit. Afterward, a mathematical model of the system with state‐space representation was derived. A detailed analysis of PV system design is performed because the parameters of PV are appearing in the dynamic model of DC MG. For the purpose of controller development, the dynamic model of the DC MG, which is modelled by a non‐linear‐non‐affine eight‐order system, is linearized around an equilibrium point using the Jacobian matrix framework, while stability using eigenvalue is carried out showing that the stability is guaranteed under operating condition. Finally, for the first time, the state‐dependent Riccati equation (SDRE) technique is proposed to find the optimal regulation problem for the DC MG with non‐linear‐non‐affine dynamics. The numerical simulation studies first confirm the validity of the performed mathematical, then the effectiveness of the proposed non‐linear controller is evaluated under illumination and load change.

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Section: Literature Reviewmentioning

confidence: 99%

On the modelling, analysis, and design of a suboptimal controller for a class of wind/PV/battery based DC microgrid

Arabshahi

Torkaman

Bagheri

et al. 2021

IET Renewable Power Gen

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“…To alleviate this concern, governments have announced strict deadlines to replace ICEVs with electric vehicles (EVs). For instance, the European Union (EU) has introduced a plan to ban the sale of ICEVs by 2035 [4][5][6][7]. Tese policies have encouraged the automotive industry to invest in EVs, as it is reported that it will spend at least $ 300 billion over the next ten years to develop EVs [8].…”

Section: Introductionmentioning

confidence: 99%

Resilience-Oriented Scheduling of Shared Autonomous Electric Vehicles: A Cooperation Framework for Electrical Distribution Networks and Transportation Sector

Amirioun

Jafarpour

Abdali

et al. 2023

Journal of Advanced Transportation

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As autonomous electric vehicles and car-sharing services are becoming more popular, the contribution of shared autonomous electric vehicles (SAEVs) to the future of urban transportation is getting more achievable. Like conventional electric vehicles, SAEVs can provide power grids with ancillary services. This article proposes a new scheduling scheme for SAEV fleets within a cooperative plan to let power distribution networks benefit from the energy storage of vehicle batteries in recovering critical loads after a predictable extreme event. According to a long-term contract, the detailed request of the distribution system operator (DSO), together with desired constraints and perquisites, is sent to the SAEVs aggregator (SA) prior to the landfall of a predictable extreme event. Afterward, SA runs a targeted algorithm to schedule trip assignments and charging cycles of SAEVs so that the required constraints of DSO are satisfied. The SAEV participants will continue carrying passengers within the scheduled time horizon in addition to delivering energy to the distribution network at the scheduling deadline declared by DSO. This deadline is the time instant when the capacity of the SAEV fleet may be no more applicable to enhance the system preparedness against the approaching event. Numerical results illustrated that the proposed scheme helps improve the power grid resilience by delivering 2396.1 kWh of energy to the distribution network in addition to increasing the total income of each participant SAEV by about 130%. Thus, it is implied that the proposed method offers a win-win situation for both entities.

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“…The protection of an MG is a complex and challenging task, because of different factors such as the MG operation modes and its bidirectional power flow, varying fault current contribution, limited and low level of fault current in power electronics-based power converter DGUs, high impedance faults (HIF), variable configuration of MG due to plug and play characteristics of DGUs [11,12], and low-voltage ride through (LVRT) requirements during a fault to prevent from system collapse [13]. In addition, the capacity and location of DGUs are important to define the setting of directional over current relays (DOCR) [14], which may influence the setting of protection devices (PD), such as pickup current (Ip), and time multiplier setting (TMS).…”

Section: Introductionmentioning

confidence: 99%

AC Microgrids Protection: A Digital Coordinated Adaptive Scheme

et al. 2021

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A significant challenge for designing a coordinated and effective protection architecture of a microgrid (MG) is the aim of an efficient, reliable, and fast protection scheme for both the grid-connected and islanded modes of operation. To this end, bidirectional power flow, varying short-circuit power, low voltage ride-through (LVRT) capability, and the plug-and-play characteristics of distributed generation units (DGUs), which are key issues in a MG system must be considered; otherwise, a mal-operation of protection devices (PDs) may occur. In this sense, a conventional protection system with a single threshold/setting may not be able to fully protect an MG system. To tackle this challenge, this work presents a comprehensive coordinated adaptive protection scheme for AC MGs that can tune their protection setting according to the system states and the operation mode, and is able to switch the PDs’ setting. In the first step of the proposed adaptive algorithm, an offline setting will be adopted for selective and sensitive fault detection, isolation, and coordination among proposed protective modules. As any change in the system is detected by the proposed algorithm in the online step, a new set of setting for proposed modules will be performed to adapt the settings accordingly. In this way, a new set of settings are adapted to maintain a fast and reliable operation, which covers selective, sensitive, and adaptive requirements. The pickup current (Ip) and time multiple settings (TMS) of directional over-current relays (DOCR), as well as coordinated time delays for the proposed protection scheme for both of the grid-connected and islanded modes of operation, are calculated offline. Then, an online adaptive protection scheme is proposed to detect different fault types in different locations. The simulation results show that the proposed method provides a coordinated reliable solution, which can detect and isolate fault conditions in a fast, selective and coordinated adaptive pattern.

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Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification

Cited by 19 publications

References 19 publications

On the modelling, analysis, and design of a suboptimal controller for a class of wind/PV/battery based DC microgrid

On the modelling, analysis, and design of a suboptimal controller for a class of wind/PV/battery based DC microgrid

Resilience-Oriented Scheduling of Shared Autonomous Electric Vehicles: A Cooperation Framework for Electrical Distribution Networks and Transportation Sector

AC Microgrids Protection: A Digital Coordinated Adaptive Scheme

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