Grid operation-based outage maintenance planning

Crognier, Guillaume; Tournebise, Pascal; Ruiz, Manuel; Panciatici, Patrick

doi:10.1016/j.epsr.2020.106682

Cited by 19 publications

(5 citation statements)

References 17 publications

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“…We refer the reader to the challenge subject in ROADEF (2020) for a more thorough description of the maintenance of electricity transmission lines and the implications of the problem from business and environmental perspectives. Additional details of the global RTE strategy and risk management can be found at Crognier et al (2021). Next we propose a mathematical programming formulation of this problem.…”

Section: Stochastic Scheduling Problemmentioning

confidence: 99%

An efficient scenario penalization matheuristic for a stochastic scheduling problem

Vasquez¹,

Buljubasic²,

Hanafi

2023

J Heuristics

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We propose a new scenario penalization matheuristic for a stochastic scheduling prob-lem based on both mathematical programming models and local search methods. The application considered is an NP-hard problem expressed as a risk minimization model involving quantiles related to value at risk which is formulated as a non-linear binary optimization problem with linear constraints. The proposed matheuritic involves a parameterization of the objective function that is progressively modified to generate feasible solutions which are improved by local search procedure. This matheuristic is related to the ghost image process approach by Glover (Comput Oper Res 21(8):801-822, 1994) which is a highly general framework for heuristic search optimization. This approach won the first prize in the senior category of the EURO/ROADEF 2020 chal-lenge. Experimental results are presented which demonstrate the effectiveness of our approach on large instances provided by the French electricity transmission network RTE.

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Section: Stochastic Scheduling Problemmentioning

confidence: 99%

An efficient scenario penalization matheuristic for a stochastic scheduling problem

Vasquez¹,

Buljubasic²,

Hanafi

2023

J Heuristics

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“…The effect of network nodes on network resilience has long been debated in several fields. Particularly, one study [32] argued that the frequent occurrence of man-made and natural disasters might cause network disruption, which can alter the normal functioning of nodes and result in other unpredictable outcomes. The importance, number, and connectivity of nodes within a network also determine network resilience, according to a previous study [33].…”

Section: Construction Theory Theoretical Characteristics Referencementioning

confidence: 99%

Analysis on the Evolution and Resilience of Ecological Network Structure in Wuhan Metropolitan Area

Zhang

Tan

et al. 2022

Sustainability

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With the accelerated urbanization and frequent occurrence of climate extremes, the regional ecosystem service level has ushered in a great challenge, and the resilience of the ecological network has gradually weakened, leading to lower ecological benefits and production levels. As a core ecologically sensitive area in the middle reaches of the Yangtze River, Wuhan metropolitan area has been expanding outward with rapid urbanization, crowding out surrounding arable and ecological land, and facing serious challenges to the sustainable development of the national space, while current cross-regional ecological protection measures need to be strengthened urgently, and exploring the structural resilience of its ecological network is of great significance to promote regional stability. In this study, Wuhan metropolitan area is taken as an example, and we explore the evolution and laws of ecological network structure from the perspective of network analysis by constructing ecological networks in Wuhan metropolitan area in 2000, 2010, and 2020. Firstly, we select regions from the ecological control line developed in China as ecological source sites, and also select multivariate data to supplement them. Then, the ecological network was established using the MCR model. Finally, network analysis was applied to discuss the evolution of network structure under multiple times and propose corresponding conservation strategies. The results show that (1) the major ecological resistance of Wuhan urban area has increased by 5.24% in 20 years. (2) The centrality and connectivity of the network nodes have increased over the 20-year period, and the overall structure of the network has stabilized and the resilience of the network has increased. (3) There is a strong link between changes in the network as a whole and local resilience. The results of the study will help analyze the relationship between the network as a whole and the region, and provide reference for optimizing the ecological network and constructing the systematic management of ecological security pattern.

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“…The core contribution of the present paper is articulating a novel procedure that reveals the maximum line flows that each branch in a power system may be required to carry. Those branches with unusually high loadability may be seen as critical or central lines in the system, which may be especially important in terms of causing congestion, or may be prioritised for maintenance planning [17]. Conversely, branches with unusually low loadability may be identified as partially obsolete or marginalised assets.…”

Section: Contribution and Paper Organisationmentioning

confidence: 99%

“…Identifying the congestion-prone branches within a system should offer actionable insights for identifying and validating remedial measures, such as strategically removing [9], [10] or increasing the reactance [11]- [13] of particular lines to better balance power flows, or selectively uprating [14]- [16] particular branches. Other potential applications for the procedure are prioritising maintenance planning [17] and identifying anomalous lines (those with unusually high or low loabability) for further investigation.…”

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confidence: 99%

Maximizing Branch Power Flows as a Descriptive Structural Metric for Electrical Networks

Cuffe¹

2022

IEEE Systems Journal

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This paper describes an optimization-based procedure that identifies the maximum power flow that each branch in an electrical network could be exposed to. The procedure uses a linear optimal power flow formulation that determines the flow-maximising generator dispatch and loading conditions for each branch in turn. This theoretical upper bound on the power flow that a branch could be exposed to is termed its loadability. The paper proposes this loadability as a descriptive structural metric that helps reveal the fundamental origin of congestion in power system. For instance, it is insightful to compare a branch's loadability with its as-built thermal capacity, to identify those branches that are most congestion-prone, or alternatively, those lines which can never exploit their full available capacity. In the six test systems studied, it is found that there is wide variation in the loadability of the various branches, where some would be loaded well beyond their thermal limits by particular generating schedules, whereas other branches can never operate beyond even a fraction of their thermal capabilities. Low branch reactance is found to be a key driver of high loadability in power systems, and this suggests new approches to alleviating transmission system congestion.

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Grid operation-based outage maintenance planning

Cited by 19 publications

References 17 publications

An efficient scenario penalization matheuristic for a stochastic scheduling problem

An efficient scenario penalization matheuristic for a stochastic scheduling problem

Analysis on the Evolution and Resilience of Ecological Network Structure in Wuhan Metropolitan Area

Maximizing Branch Power Flows as a Descriptive Structural Metric for Electrical Networks

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