Power Distribution System Outage Management With Co-Optimization of Repairs, Reconfiguration, and DG Dispatch

Arif, Anmar; Wang, Zhaoyu; Wang, Jianhui; Chen, Chen

doi:10.1109/tsg.2017.2650917

Cited by 263 publications

(173 citation statements)

References 22 publications

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“…A MILP is solved in the first stage to find the priority of the damaged lines, and the routing problem is solved in the second stage using Constraint Programming. In [15], we developed a MILP that combines the distribution network operation and crew routing problems. The model was solved using a cluster-first route-second approach.…”

Section: Sets and Indices M/nmentioning

confidence: 99%

Repair and Resource Scheduling in Unbalanced Distribution Systems Using Neighborhood Search

Arif

Wang

Chen

et al. 2020

IEEE Trans. Smart Grid

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This paper proposes an optimization strategy to assist utility operators to recover power distribution systems after large outages. Specifically, a mixed-integer linear programming (MILP) model is developed for co-optimizing crews, resources, and network operations. The MILP model coordinates damage isolation, network reconfiguration, distributed generator redispatch, and crew/resource logistics. In addition, a framework for integrating different types of photovoltaic (PV) systems in the restoration process is developed. We consider two different types of crews, namely, line crews for damage repair and tree crews for obstacle removal. We also model the repair resource logistic constraints. Furthermore, a new algorithm is developed for solving the distribution system repair and restoration problem (DSRRP). The algorithm starts by solving DSRRP using an assignment-based method, then a neighborhood search method is designed to iteratively improve the solution. The proposed method is validated on modified IEEE 123-and 8500-bus distribution test systems.Active power charge/discharge of the BESS at bus i P/Q L i,ϕ,t Active/reactive load supplied at bus i, phase ϕ and time t P/Q P V i,ϕ,tThe active/reactive power output of the PV at bus i P/Q G i,ϕ,t Active/reactive power generated by DG at bus i, phase ϕ and time t P/Q K k,ϕ,t

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Section: Sets and Indices M/nmentioning

confidence: 99%

Repair and Resource Scheduling in Unbalanced Distribution Systems Using Neighborhood Search

Arif

Wang

Chen

et al. 2020

IEEE Trans. Smart Grid

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“…This work falls within the scope of power system resilience. Approaches have been proposed for scheduling the available repair crews in order to minimize the cumulative duration of customer interruptions, and applied to general critical infrastructure [6,7], distribution networks [1,8] and transmission networks [9,10,11,12,13]. To the best of our knowledge, all previous work implicitly consider the model of a power network where a switch is installed on each edge.…”

Section: Related Workmentioning

confidence: 99%

“…Although the aforementioned work may have different formulations under various assumptions and practical concerns, they were shown to be NP-hard in [1,12]. Many studies rely on mixed integer linear programming to solve the problem [9,10,7,11,13] and some develop heuristics to speed up the computation [10,8]. Due to computational concerns about solving such problems in real time, they are also modeled in the context of parallel machine scheduling and solved using approximation algorithms [1] and heuristics [12].…”

Section: Related Workmentioning

confidence: 99%

Scheduling Post-Disaster Repairs in Electricity Distribution Networks

Tan

Qiu

Das

et al. 2019

IEEE Trans. Power Syst.

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Natural disasters, such as hurricanes, large wind and ice storms, typically require the repair of a large number of components in electricity distribution networks. Since power cannot be restored before the completion of repairs, optimal scheduling of available repair crews to minimize the aggregate duration of customer interruptions reduces the harm done to the affected community. While incorporating a switch on every line of a distribution network would maximize the outage management capability and resilience, cost concerns typically prohibit such an approach. In this work, we consider the fact that the number of switches is much smaller than the number of edges in the distribution network. This generalizes the problem adopted in our previous work [1]. Our modeling framework is analogous to a job scheduling problem with group soft precedence constraints on parallel identical machines to minimize the total weighted energization time. We propose a linear programming (LP) based list scheduling algorithm and a conversion algorithm and analyze their theoretical performances.

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“…Although the advent of smart grids has conducted to increasing the level of automation [1], the need for human intervention is particularly necessary in cases of extreme weather events or even in the occurrence of collisions in overhead networks, which become exposed by itself and may cause the lack of power supply.…”

Section: Service Restoration By Repair Crewsmentioning

confidence: 99%

Resource Planning to Service Restoration in Power Distribution Systems

Schmitz¹,

Silva²,

Garcia³

et al. 2017

System Reliability

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Whenever there are extreme weather events, electric power distribution systems are generally affected largely because they are highly subject by their constructive nature: overhead networks. In this context, the management of maintenance actions is generally referred to as emergency service order, usually associated with a lack of supply and requiring human intervention. The key issue for the resource planning refers to an estimation of service time that allows for more assertive planning possible. This chapter proposes a predictive modelling of emergency services for resource planning when considering the geographic dispersion of such services and also the time windows that comprise the amount of service time demanded. After presenting the methodological procedures, a case study depicts the application of the proposed method in order to support proactive service routing.

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Power Distribution System Outage Management With Co-Optimization of Repairs, Reconfiguration, and DG Dispatch

Cited by 263 publications

References 22 publications

Repair and Resource Scheduling in Unbalanced Distribution Systems Using Neighborhood Search

Repair and Resource Scheduling in Unbalanced Distribution Systems Using Neighborhood Search

Scheduling Post-Disaster Repairs in Electricity Distribution Networks

Resource Planning to Service Restoration in Power Distribution Systems

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