Evaluating Resilience of Electricity Distribution Networks via a Modification of Generalized Benders Decomposition Method

Shelar, Devendra; Amin, Saurabh; Hiskens, Ian A.

doi:10.1109/tcns.2021.3061671

Cited by 10 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Stochastic mixed-integer non-linear programming [151,166] Stochastic mixed-integer linear programming [80,130,133,143,160] Heuristic methods [151] ratio of power deficiency after the occurrence of an event.…”

Section: Stochasticmentioning

confidence: 99%

Electrical energy systems resilience: A comprehensive review on definitions, challenges, enhancements and future proceedings

Amini

Zadeh

Rostami

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

Secure energy providing is a critical feature of sustainable societies, where this subject requires reliable operation of generation, transmission and distribution infrastructures. In order to achieve the mentioned goal, the influence of uncertainties should be analyzed using appropriate methods, criteria and tools. The high‐impact low‐probability (HILP) events are special uncertainties that can affect the safe operation and lead to irreparable damages. This paper presents a comprehensive review of resilience in electrical energy systems consisting of fundamental concepts and definitions, challenges, enhancements and future proceedings. In this regard, a resilience evaluation framework is designed first in which all the necessary actions for a resilience study are defined. In the next step, various HILP events are introduced and then the resilience concept is defined accurately and related curves are investigated. Afterwards, the resilience assessment indices and quantitative measures are described and their details and applications are precisely explained. As well, the resilience enhancement strategies are discussed from short‐term and long‐term perspectives and eventually, resilience‐based objective functions and optimization approaches are classified in the last part. It is noteworthy that the main research gaps are also clarified according to the reviewed papers and further suggestions are expressed to cope with the declared problems.

show abstract

Section: Stochasticmentioning

confidence: 99%

Electrical energy systems resilience: A comprehensive review on definitions, challenges, enhancements and future proceedings

Amini

Zadeh

Rostami

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…A World Bank study [10] demonstrates how some of these risks including flooding risks in Bangladesh can be integrated into a power system planning model to develop a more resilient mix of generation resources. The impact of extreme events that are increasingly becoming more frequent and more severe due to climate change may have serious implications for transmission [11][12] and distribution [13][14]. Kezunovic et al [11] foreshadowed many of the problems around transmission line conductor sag, transformer outages, etc.…”

Section: A An Overview Of the Literaturementioning

confidence: 99%

Planning for a Resilient Home Electricity Supply System

2021

View full text Add to dashboard Cite

Resilience of power systems is already a key issue that is getting frequent attention all over the world. It is useful to analyze resilience issues not only for bulk supply, but at all levels including at a customer level. This is because distributed energy resources can play a prominent role in enhancing resilience. Although the literature on planning models, tools and data for bulk supply and distribution systems have expanded in recent years, customer-centric planning, e.g., for an individual household, is yet to receive adequate attention. Although solar PV and battery storage at a household level have been analyzed, how these resources can be optimally combined, together with grid supply, from a resilience perspective is the focus of this study. The study demonstrates how a conceptual framework can be developed to show the trade-off between system costs and resilience including its dimensions such as duration, depth and frequency of service outages. A planning model is developed that incorporates multiple facets of resilience and individual customer preferences. The model considers power system resilience explicitly as a constraint. The model is implemented for a household level case study in Miami, Florida. The results show there are complex tradeoffs among different dimensions of resilience. The study demonstrates how combined resilience metrics can be formulated and evaluated using the proposed least-cost planning model at a household level to optimize grid supply together with solar, battery storage and diesel generators. The model allows a planner to directly embed a resilience standard to drive the optimal supply mix. These concepts and the modeling construct can also be applied at other levels of planning, including community level and bulk supply system planning.

show abstract

“…The grid edge will turn distribution power grids, traditionally not very automated, into complex distributed control systems. The many local control loops in the grid edge simultaneously present an increased attack surface, and will require resilient and systematic controller update/patching schemes to handle newly discovered vulnerabilities or to respond to contingencies [19]- [21], while accounting for possible adverse effects of failed control updates.…”

Section: Introductionmentioning

confidence: 99%

Resilient Scheduling of Control Software Updates in Power Distribution Systems

Sou

2022

2022 IEEE 61st Conference on Decision and Control (CDC)

View full text Add to dashboard Cite

In response to newly found security vulnerabilities, or as part of a moving target defense, a fast and safe control software update scheme for networked control systems is highly desirable. We here develop such a scheme for intelligent electronic devices (IEDs) in power distribution systems, which is a solution to the so-called software update rollout problem. This problem seeks to minimize the makespan of the software rollout, while guaranteeing safety in voltage and current at all buses and lines despite possible worst-case update failure where malfunctioning IEDs may inject harmful amounts of power into the system. Based on the nonlinear DistFlow equations, we derive linear relations relating software update decisions to the worst-case voltages and currents, leading to a decision model both tractable and more accurate than previous models based on the popular linearized DistFlow equations. Under reasonable protection assumptions, the rollout problem can be formulated as a vector bin packing problem and instances can be built and solved using scalable computations. Using realistic benchmarks including one with 10,476 buses, we demonstrate that the proposed method can generate safe and effective rollout schedules in real-time.

show abstract

Evaluating Resilience of Electricity Distribution Networks via a Modification of Generalized Benders Decomposition Method

Cited by 10 publications

References 20 publications

Electrical energy systems resilience: A comprehensive review on definitions, challenges, enhancements and future proceedings

Electrical energy systems resilience: A comprehensive review on definitions, challenges, enhancements and future proceedings

Planning for a Resilient Home Electricity Supply System

Resilient Scheduling of Control Software Updates in Power Distribution Systems

Contact Info

Product

Resources

About