A systematic approach to service restoration in distribution networks

Rodríguez-Montañés, Manuel; Macías, José Luis Salcini; Gómez-Expósito, Antonio

doi:10.1016/j.epsr.2020.106539

Cited by 9 publications

(3 citation statements)

References 22 publications

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“…turns the affected switches back on) following a fault on a single component or a very small number of components by scheduling the dispatch of repair crews to fix the problems. The operation sequence and the schedule of these switches have been formulated as an NP-complete optimization problem for a long time [7][8][9][10][11][12][13][14]. The statuses of the switches are the decision variables when the downstream components return to normal.…”

Section: Problem Reformulationmentioning

confidence: 99%

“…Firstly, mixed integer linear programming (MILP) models have been investigated to find optimal reconfiguration network in order to achieve minimal power loss and maximal economic benefit [4][5][6][7][8][9][10]. Furthermore, in order to address MILP problems, researchers have explored more efficient and time-saving algorithms, including heuristic [11,12], dynamic [13], and agent-based [14,15] approaches.…”

Section: Introductionmentioning

confidence: 99%

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Incorporating public feedback in service restoration for electric distribution networks

Zhong

Wang

Xie

et al. 2023

IET Generation Trans & Dist

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Power outages in urban area carry heavy social and economic costs. Although social cost, especially public sentiment, is concerned by engineers and managers, it has been only qualitatively investigated without a rigorous model in the state-of-the-art research and practice of service restoration (SR) for a long time. To fill this gap, this paper investigates a hybrid model which takes public sentiment into consideration by quantifying public sentiment triggered by power outage. Furthermore, conventional SR method focused on the optimization model with ideal conditions, which leaves a large room for improvement in complex environment. To improve the robustness of the model, the authors propose a reinforcement learning framework to analyze emergency management process without prior rules. At each time step, the optimal decision can be made automatically by a learned model. The numerical simulations with modified IEEE 33-bus and IEEE 123-bus systems demonstrate the effectiveness of the proposed method.

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Section: Problem Reformulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Incorporating public feedback in service restoration for electric distribution networks

Zhong

Wang

Xie

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

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“…Dimitrijevic et al [143] reduced the restoration costs by supplying loads with a low switching cost and by applying the minimum spanning trees algorithm to address the proposed objective function. Rodríguez et al [144] applied systematic measures to integrate algebraic calculations and heuristic rules that help distribution management systems find the optimal switching selection operation for the rapid isolation and restarting of DERs. Wang et al [145] proposed the stochastic response method for reducing load loss within a minimum switching time, while allowing for a standard design of the network reconfiguration and islanding section.…”

Section: Restorationmentioning

confidence: 99%

Energy Management System in Microgrids: A Comprehensive Review

et al. 2021

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As promising solutions to various social and environmental issues, the generation and integration of renewable energy (RE) into microgrids (MGs) has recently increased due to the rapidly growing consumption of electric power. However, such integration can affect the stability and security of power systems due to its complexity and intermittency. Therefore, an optimal control approach is essential to ensure the efficiency, reliability, and quality of the delivered power. In addition, effective planning of policies for integrating MGs can help promote MG operations. However, outages may render these strategies inefficient and place the power system at risk. MGs are considered an ideal candidate for distributed power systems, given their capability to restore these systems rapidly after a physical or cyber-attack and create reliable protection systems. The energy management system (EMS) in an MG can operate controllable distributed energy resources and loads in real-time to generate a suitable short-term schedule for achieving some objectives. This paper presents a comprehensive review of MG elements, the different RE resources that comprise a hybrid system, and the various types of control, operating strategies, and goals in an EMS. A detailed explanation of the primary, secondary, and tertiary levels of MGs is also presented. This paper aims to contribute to the policies and regulations adopted by certain countries, their protection schemes, transactive markets, and load restoration in MGs.

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