A bi-level resilience-oriented islanding framework for an active distribution network incorporating electric vehicles parking lots

Alizadeh, Mohammad; Jafari‐Nokandi, Meysam

doi:10.1016/j.epsr.2023.109233

Cited by 9 publications

(5 citation statements)

References 33 publications

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“…In this paper, we write the radiality constraints so that they also work in the islanded case, i.e., they allow for the formation of radial islands in the grid. To the best of our knowledge, the other work considering the formation of dynamic islands is [21], which proposes different and more complex equations than the ones presented here.…”

Section: Literature Survey and Contributionsmentioning

confidence: 99%

A Model Predictive Control Algorithm for the Reconfiguration of Radially Operated Grids with Islands

Donsante,

Tortorelli,

Di Giorgio

et al. 2023

Electronics

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This paper proposes a reconfiguration algorithm for electricity grids, based on Model Predictive Control (MPC). Reconfiguration is dynamically performed to reduce losses, and in reaction to adverse events, such as faults or attacks. Most of the previous works in the literature (including a previous paper from the authors) focus on the reconfiguration of grids while ensuring they are always radially operated and connected (i.e., islands are not allowed to form). At present, including the possibility of performing a dynamic islanding of the network (i.e., where portions of the grid dynamically detach and reconnect to the main grid) is seen as a way to improve the flexibility and resiliency of the grid, especially in the present context, with the increased penetration of digital technologies and renewables. Therefore, by extending the previous work, the algorithm proposed in the present paper also allows for the formation of islands, while still constraining them to radial islands, in line with the operational practice adopted by most electric companies. The mathematical formulation of the grid reconfiguration problem is discussed, and simulation results are presented, showing the effectiveness of the proposed algorithm in dynamically managing the grid reconfiguration.

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Section: Literature Survey and Contributionsmentioning

confidence: 99%

A Model Predictive Control Algorithm for the Reconfiguration of Radially Operated Grids with Islands

Donsante,

Tortorelli,

Di Giorgio

et al. 2023

Electronics

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“…In this case, n ij refers to the status (open or closed) of the switch installed at branch ij. The constraints of the mathematical model include the power balance at the nodes, described by ( 2) and (3); the radiality of the feeder circuits, guaranteed with the simultaneous attendance of ( 2), (3), and (8) 17 ; voltage magnitude limits, according to (4); the carrying capacity of transmission lines and distribution networks, which are subject to (6); and, finally, the SS loading limit, according to (7). The necessary increase in the transmission line capacity between nodes i and j is modeled by the slack variable ξ ij .…”

Section: Problem Formulationmentioning

confidence: 99%

“…In general, it is noteworthy that the growing interest in the use of sustainable energy, involving wind and photovoltaic DG and EV, contributes to the growing number of publications on the DSR that address these new concepts. [5][6][7][8][9] In this sense, in Swaminathan and Rajagopalan, 10 a meta-heuristic population-based tangent golden flower pollination algorithm (TGFPA) is presented as an optimization technique for selecting the ideal site for DG. Furthermore, the proposed algorithm also finds the optimal routing configuration for the power flow, aiming at the minimal power loss.…”

Section: Introductionmentioning

confidence: 99%

“…A comprehensive review on the DSR can be found in Sivkumar Mishra and Paul, 1 and more recently, a categorization of solution methods, case studies, and novelties of the most relevant works regarding DSR are provided in Mahdavi et al 2 The majority are aimed especially at reducing electrical losses, improving the voltage profile, and/or the operational reliability of the distribution network, like in Wang et al 3 and Shaheen et al 4 Current trends on DSR have embraced new objectives, notably distributed generation (DG), electric vehicles (EVs), and energy storage systems. In general, it is noteworthy that the growing interest in the use of sustainable energy, involving wind and photovoltaic DG and EV, contributes to the growing number of publications on the DSR that address these new concepts 5–9 …”

Section: Introductionmentioning

confidence: 99%

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Distribution grid reconfiguration sensitive to transmission cost allocation

Nicoletti,

Sperandio,

Machado Santos

et al. 2023

Circuit Theory & Apps

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The reconfiguration of electrical distribution systems has been addressed in numerous scientific studies. Thus, several techniques and models are considered, especially to reduce electrical losses and improve the voltage profile. However, it is clear that even with the increase in research, which has been accentuated since the last decade, the locational pricing and the transmission costs allocation is little explored. In this regard, the proposed method is a distribution system reconfiguration (DSR) optimization problem focused on minimizing the use of the transmission system. In order to validate the meta‐heuristic employed for the DSR, the IEEE 33 and 69 node test systems are used as a proof of concept. In addition, case studies with four substations, three different transmission cost allocation techniques, and transmission system capacity scenarios are analyzed. Numerical results showed an important transmission expansion deferral with consequent decrease in overall costs compared to the classic DSR. The transmission network use of system (TNUoS) charges can play a crucial role in reducing the total cost of the electrical system, promoting distributors to change their feeder patterns so that a larger share of loads access substations with lower charges.

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“…The study in Ref. [ 30 ] looked at the use of EVs to facilitate microgrid restoration through the use of V2G [ 31 ]. focused on maximizing load recovery by charge and discharge management of EV parking lots using a bi-level model to determine the optimal islanding decision [ 32 ].…”

Section: Introductionmentioning

confidence: 99%

Using electric vehicles to enhance power outage resilience – An agent-based modeling approach

Churchill,

Monroe,

Bristow

et al. 2024

Heliyon

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A bi-level resilience-oriented islanding framework for an active distribution network incorporating electric vehicles parking lots

Cited by 9 publications

References 33 publications

A Model Predictive Control Algorithm for the Reconfiguration of Radially Operated Grids with Islands

A Model Predictive Control Algorithm for the Reconfiguration of Radially Operated Grids with Islands

Distribution grid reconfiguration sensitive to transmission cost allocation

Using electric vehicles to enhance power outage resilience – An agent-based modeling approach

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