Optimal Restoration Strategy to Enhance the Resilience of Transmission System under Windstorms

Gao, Xue; Chen, Zhi

doi:10.1109/tpec48276.2020.9042554

Cited by 5 publications

(12 citation statements)

References 17 publications

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“…Additionally, wind speed forecast has been incorporated in the system survivability network splitting in Ref. [49] to model storm‐related cascading failures accurately [50].…”

Section: Coherency Identification and Islanding: Analysis Methodsmentioning

confidence: 99%

Power system coherency recognition and islanding: Practical limits and future perspectives

Chamorro

Gomez‐Diaz

Paternina

et al. 2022

IET Energy Syst Integration

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Electrical power systems are continuously upgrading into networks with a higher degree of automation capable of identifying and reacting to different events that may trigger undesirable situations. In power systems with decreasing inertia and damping levels, poorly damped oscillations with sustained or growing amplitudes following a disturbance may eventually lead to instability and provoke a major event such as a blackout. Additionally, with the increasing and considerable share of renewable power generation, unprecedented operational challenges shall be considered when proposing protection schemes against unstable electro-mechanical (e.g. ringdown) oscillations. In an emergency situation, islanding operations enable splitting a power network into separate smaller networks to prevent a total blackout. Due to such changes, identifying the underlying types of oscillatory coherency and the islanding protocols are necessary for a continuously updating process to be incorporated into the existing power system monitoring and control tasks. This paper examines the existing evaluation methods and the islanding protocols as well as proposes an updated operational guideline based on the latest dataanalytic technologies.

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“…Additionally, wind speed forecast has been incorporated in the system survivability network splitting in Ref. [49] to model storm‐related cascading failures accurately [50].…”

Section: Coherency Identification and Islanding: Analysis Methodsmentioning

confidence: 99%

Power system coherency recognition and islanding: Practical limits and future perspectives

Chamorro

Gomez‐Diaz

Paternina

et al. 2022

IET Energy Syst Integration

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“…This plan involves cutting loads 646, 692, 675a, 611, and 670c, resulting in a total loss of 1172 kW. Assuming that load shedding is initiated at 11 s, the bus voltages subsequently return to the normal range, as illustrated in the figure . In this paper, we assume P c = 0.166$/kWh and T r is 24 h [38]. In this case, the risk of node 3 (DER client2) is…”

Section: Nodes Linksmentioning

confidence: 99%

A Risk Assessment Framework for Cyber-Physical Security in Distribution Grids with Grid-Edge DERs

Gao,

Ali,

Sun

2024

Energies

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Integration of inverter-based distributed energy resources (DERs) is reshaping the landscape of distribution grids to fulfill the socioeconomic, environmental, and sustainability goals. Addressing the technological challenges of DER grid integration requires an adaptive communication layer for efficient DER management and control. This transition has given rise to a cyberphysical system (CPS) architecture within the distribution system, causing new vulnerabilities for cyberphysical attacks. To better address potential threats, this paper presents a comprehensive risk assessment framework for cyberphysical security in distribution grids with grid-edge DERs. The framework incorporates a detailed CPS model accounting for dynamic DER characteristics within the distribution grid. It identifies vulnerabilities in DER communication systems, models attack scenarios, and addresses communication latency crucial for inverter control timescales. Subsequently, the quantification of attack impacts employs an attack probability model including both the vulnerability and criticality of cyber components. The proposed risk assessment framework was validated through testing on the modified IEEE 13-node and 123-node test feeders.

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“…Optimization models for operational transmission resilience may be deterministic [28][29][30][31][32][33][34][35][36][37][38] or stochastic [39,40]. The TRP-MSR is a stochastic program.…”

Section: B Comparison To Prior Workmentioning

confidence: 99%

Optimal Application of Mobile Substation Resources for Transmission System Restoration Under Flood Events

Yip,

Cunha,

Austgen

et al. 2024

IEEE Access

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This article studies the Transmission Restoration Problem with Mobile Substation Resources, a novel mixed-integer linear programming model that prescribes the most effective usage of mobile-substation resources to enhance the resilience of a power transmission system against a particular, widespread flood event. The model is a two-stage stochastic program in which each scenario captures a different potential progression of flood heights at substations over the event horizon. The first stage concerns the pre-event selection and positioning of mobile-substation resources. The second stage concerns the coordination of mobile-substation resource deployment and permanent-substation restoration to maintain and recover service within the horizon. Experiments in the IEEE 24-Bus System and a synthetic Houston grid confirm the efficacy of the model. Even when isolated from effects related to restoration of permanent substations, the effect of four mobile transformers and eight mobile breakers for a realistic set of flood scenarios in the synthetic Houston grid was found to be an average total-cost reduction of approximately $35MM (i.e., approximately 8% of a default optimal objective value). Additionally, a novel, parallel heuristic is designed that can efficiently solve the problem as well as, with minor modifications, similar stochastic problems on pre-selection of mobile resources or placement of static ones. For a 40-scenario model instance in the IEEE 24-Bus System, the extensive form was not able to find an integer-feasible solution in six hours, yet the This article has been accepted for publication in IEEE Access.

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Optimal Restoration Strategy to Enhance the Resilience of Transmission System under Windstorms

Cited by 5 publications

References 17 publications

Power system coherency recognition and islanding: Practical limits and future perspectives

Power system coherency recognition and islanding: Practical limits and future perspectives

A Risk Assessment Framework for Cyber-Physical Security in Distribution Grids with Grid-Edge DERs

Optimal Application of Mobile Substation Resources for Transmission System Restoration Under Flood Events

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