An innovative method for optimization of power system restoration path

Song, Kaidi; Jian-ming, Jiang; Zongbao, Gao; Gongyi, Song

doi:10.1109/ccdc.2019.8833265

Cited by 4 publications

(5 citation statements)

References 25 publications

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“…In this context, a power transfer distribution factor-based restoration path determination model for large-scale power systems which can enable the load to be taken by the lightly loaded lines or relieve stress on the heavily loaded lines was proposed. In [40], an efficient heuristic algorithm based on the minimum cost maximum flow modelling was proposed to solve the problem of optimizing the restoration paths, and it was performed on four IEEE standard test systems to verify its advantages over those traditional algorithms. Some papers consider both backbone network planning and restoration path optimization, which can overcome the incapability of backbone network planning and restoration path optimization strategies caused by only considering one of them.…”

Section: Restoration Path Optimization Of Backbone Network Reconfigur...mentioning

confidence: 99%

“…Therefore, further research is required on the power system restoration solution algorithm that considers the privacy problem of multi-energy systems. Weight coefficient [38] 2013 Group decision-making [17] Decision supporting system [19] Probability and timing [71] 2014 Extended black-start [15] Node importance [37] Security-constrained unit commitment [56] 2015 Group decision support system [29,30] Interpretative structural modelling [68] 2016 Network partitioning [13] Extended black-start [16] Uncertain factors [20] Battery energy storage systems [26] Disaster economics [50] 2017 Extended black-start [14] Distributed generations [23] Grid resiliency [53] 2018 Microgrids [22] Wind power plants with energy storage systems [27] Island partitioning [44] Distributed energy resources [47] Distributed energy resources [48] Stochastic approach [55] Graph theory [62] Islanded operation of distributed generations [63] Distributed generation scheduling [64] Outage duration uncertainty [73] General stochastic Petri net approach [74] 2019 Network reliability [12] Decision making [18] Photovoltaic-battery energy storage systems [25] Multi-objective optimization [32] Restoration path [40] Distributed energy resources [43] Renewable energy [45] Unbalanced active distribution systems [51] Distributed generations [54] Decentralized scheme…”

Section: Restoration Technologies and Distributed Solution Algorithms...mentioning

confidence: 99%

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Review of restoration technology for renewable‐dominated electric power systems

Chen

Liang

Zhai

et al. 2022

Energy Conversion and Econom

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With the rapid development of renewable energy generation and multi‐energy system technologies, reviewing and discussing the emerging power system restoration methods and key technologies suitable for renewable‐dominated electric power systems and the Energy Internet are important. Based on this, the backgrounds of renewable‐dominated electric power systems and the Energy Internet are first introduced here. Subsequently, the power system restoration process is divided into three phases: the black‐start, network reconfiguration, and the load restoration phases; relative restoration strategy research on these three phases is reviewed. Moreover, the boundaries between these three phases are occasionally not sufficiently apparent or even cross in most cases owing to the severity of blackouts and other various factors. Therefore, the key technologies for power system restoration considering multiple phases are analysed in detail. Moreover, the major gaps between existing research and real‐world applications and the outlooks on the restoration technologies under renewable‐dominated electric power systems are discussed.

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Section: Restoration Path Optimization Of Backbone Network Reconfigur...mentioning

confidence: 99%

Section: Restoration Technologies and Distributed Solution Algorithms...mentioning

confidence: 99%

Review of restoration technology for renewable‐dominated electric power systems

Chen

Liang

Zhai

et al. 2022

Energy Conversion and Econom

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“…In this respect, usually different objective functions and constraints are considered in the literature to obtain a feasible restoration procedure. For example, in [77], the minimum cold-start interval of NBSUs, the maximum hot-start interval of NBSUs, the reactive power absorption capability of generators (overvoltage constraint), and the network security constraints have been considered. Also, in [52], the objective function tries to minimize the amount of unrestored loads, while increasing the number of energized branches and the system inertia (by energizing more generation units) over the restoration horizon.…”

Section: Optimization Of Generators Start-up Sequence and Restoration...mentioning

confidence: 99%

Survey of Power System Restoration Documents Issued from 2016 to 2021

Khoshkhoo

Khalilifar

Shahrtash

2022

International Transactions on Electrical Energy Systems

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More than thirty-six partial or whole blackouts, from 2016 to 2021, prove that neither the probability of blackouts can be ignored nor the required plans and the readiness of the utilities for power system restoration can be forgotten. To properly deal with blackouts and minimize the social and economic costs, utilities should prepare a suitable restoration plan in advance to quickly restore the system to the normal state and minimize the restoration time and loss of energy. In this paper, after summarizing major blackouts occurred from 2016 to 2021, the progress in the research reports, industrial documents, and books in the context of power system restoration is reviewed to show and classify the different aspects of power system restoration plans and strategies presented during these years. This review indicates that although there are many published methods and techniques which have tried to give more autonomous solutions, there are still more complexities in power system restoration. However, this paper respects all efforts and attempts and tries to illustrate the achievements, up to now, in power system restoration, as well as research gaps.

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“…Although similar to simulation models in terms of iteratively estimating restoration time, optimization models determine the best process to minimize restoration time and maximize load capacity. Several optimization models have been developed to identify the energizing path, dispatch of repair crews and the use of distributed generators to reduce restoration time, and dispatching decisions [30][31][32].…”

Section: Restoration Processmentioning

confidence: 99%

RePOWERD: Restoration of Power Outage from Wide-area Severe Weather Disruptions

Kar¹,

Brewer

Omitaomu³

et al. 2022

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The purpose of the RePOWERD project is to develop a probabilistic and a simulation based power restoration forecasting model for tropical storms based on geographic utility service areas, impacts to energy infrastructures and transportation networks, time-varying customer outage number, crew information (i.e., crew size, crew staging requirements), and utility restoration plans. Energy infrastructure is a critical lifeline essential for the United States' national and economic security. Like other critical infrastructures, this infrastructure is aging and is at a high risk of damages from extreme weather events. Based on the number of reported outages in EAGLE-I during 2020 and 2021, it is evident that the current energy infrastructure is not equipped to handle extreme event impacts and will contribute to significant outages. From a resilience perspective, it is essential to forecast restoration time in the event of a severe weather induced power outage to assist the US Department of Energy, emergency managers, and first responders with resource planning. This project contributes to this crucial need. This report details the models, that were developed in this pilot study, to determine the rate of restoration and estimated time of restoration (ETR) during tropical storm events within counties and utility service areas based on damage to energy infrastructures and total number of customers experiencing outages.

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An innovative method for optimization of power system restoration path

Cited by 4 publications

References 25 publications

Review of restoration technology for renewable‐dominated electric power systems

Review of restoration technology for renewable‐dominated electric power systems

Survey of Power System Restoration Documents Issued from 2016 to 2021

RePOWERD: Restoration of Power Outage from Wide-area Severe Weather Disruptions

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