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Multi-stage defender-attacker-defender model for Distribution System Resilience Enhancement in Ice Storms with Line Hardening,Mobile Device and Repair Crew Dispatching

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CSEE Journal of Power and Energy Systems 2023年第3期9卷 1103-1118页

作者： Ran Tao Dongmei Zhao Haoxiang Wang Xuan Xia School of Electrical and Electronic Engineering North China Electric Power UniversityBeijing 102206China State Grid Shaoxing Power Supply Company Shaoxing 312000China

This paper proposes a co-optimal strategy using line hardening,mobile devices(mobile ice-melting device,mobile emergency generator,mobile energy storage system),and repair crew dispatching to improve distribution system resilience during ice storms.A multi-stage defender-attacker-defender model is established to take into account interactions and coupling relationships between different *** our proposed model,ice storms will attack the distribution and transportation system in a worst-case scenario,affecting system performance from various *** to the different operating states in the distribution system affected by ice storms,aiming at minimizing the weighted load shedding value,this paper applies various measures to different stages to improve the response and defense capabilities to ice storms and realize restoration of the distribution system *** nested column-and-constraint generation algorithm is used to solve the model *** effectiveness of the proposed model and solution method for enhancing the distribution system resilience is verified on the modified IEEE 33-bus distribution system and modified realworld zone of Caracas 141-bus distribution system.

关键词： defender-attacker-defender model distribution system resilience ice storm line hardening mobile device repair crew

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A Distributionally Robust defender-attacker-defender model for Resilience Enhancement of Power Systems Against Malicious Cyberattacks

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IEEE TRANSACTIONS ON POWER SYSTEMS 2023年第6期38卷 4986-4997页

作者： Liu, Zhaoxi Wang, Lingfeng Univ Wisconsin Milwaukee Dept Elect Engn & Comp Sci Milwaukee WI 53211 USA

The cybersecurity of electric power grids is emerging as a critical challenge for the power industry in the transformation of modern power systems towards the future smart grid. It is of great importance to enhance the resilience of power systems against potential cyber threats. In this paper, a distributionally robust recovery resource allocation method based on the tri-level defender-attacker-defender (D-A-D) model is proposed to enhance the resilience of power systems in the face of malicious cyberattacks. The proposed recovery resource allocation method is able to optimally distribute the recovery resources among the substations in the grid to mitigate the impacts of successful cyberattacks during the recovery process, and improve the resilience performance of power systems against the attacks. In the proposed model, the recovery resource represents the available resource that can be expended to support the recovery efforts of the cyber-physical power system. It is expected to accelerate the recovery process of the system after successful attacks. The recovery resource may include necessary software, hardware, and labor force. Meanwhile, a distributionally robust optimization (DRO) model is proposed to address the uncertainty of the power system operation conditions, e.g., renewable energy resources (RESs). In order to verify the proposed system defense method, case studies were conducted on the IEEE Reliability Test System RTS-79. The results of the case studies show that the proposed method can provide a robust solution to recovery resource allocation for mitigating the risk of potential cyberattacks.

关键词： Cybersecurity defender-attacker-defender model distributionally robust optimization power system resilience tri-level optimization

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Optimal power grid protection through a defender-attacker-defender model

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RELIABILITY ENGINEERING & SYSTEM SAFETY 2014年第Jan.期121卷 83-89页

作者： Yuan, Wei Zhao, Long Zeng, Bo Univ S Florida Dept Ind & Management Syst Engn Tampa FL 33620 USA

Power grid vulnerability is a major concern of our society, and its protection problem is often formulated as a tri-level defender-attacker-defender model. However, this tri-level problem is computationally challenging. In this paper, we design and implement a Column-and-Constraint Generation algorithm to derive its optimal solutions. Numerical results on an IEEE system show that: (i) the developed algorithm identifies optimal solutions in a reasonable time, which significantly outperforms the existing exact algorithm;(ii) the attack solution obtained through solving the attacker-defender model does not lead to the optimal protection plan in general;and (iii) protection using the optimal solution from the defender-attacker-defender model always improves the grid survivability under contingencies. The proposed model and algorithm can be easily modified to accommodate for other critical infrastructure network protection problems. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Power grid protection defender-attacker-defender model Column-and-Constraint Generation method

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Cost-effective power grid protection through defender-attacker-defender model with corrective network topology control

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ENERGY SYSTEMS-OPTIMIZATION modelING SIMULATION AND ECONOMIC ASPECTS 2020年第4期11卷 811-837页

作者： Yuan, Wei Zeng, Bo Univ S Florida Dept Ind & Management Syst Engn Tampa FL 33620 USA Univ Pittsburgh Dept Ind Engn Pittsburgh PA USA Univ Pittsburgh Dept Elect & Comp Engn Pittsburgh PA USA

Power grid vulnerability is a critical issue in power industry. In order to understand and mitigate power grid vulnerability under threats, existing research often makes use of defender-attacker-defender (DAD) models to derive effective protection plans and evaluate grid performances under various contingencies. Corrective topology control (also known as corrective line switching) can be used as an operation to mitigate outages or attacks. In this paper, we propose to extend the traditional defender-attacker-defender model with the post-contingency corrective line switching operations as an effective post-contingency mitigation method. The proposed new model cannot be solved by existing algorithms used to solve the traditional defender-attacker-defender models because of the introduced binary transmission switching variables in the inner level problem. To solve this complicated DAD with transmission line switching (DAD-TLS) model, we customized and developed an exact algorithm based on the nested column-and-constraint generation (NCCG) algorithm, to compute global optimal solutions. A set of numerical studies on IEEE RTS one-area system demonstrate the significant improvements of power system resilience under malicious attacks due to line switching, and highlight that hardening plans derived from this new DAD model are much more cost-effective compared with those obtained from traditional DAD models.

关键词： Power grid protection Power grid resilience Transmission line switching defender-attacker-defender model Network topology control Computation algorithm

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Nash Bargaining-Based Pre-disaster Load Curtailment Contract Design for Distribution Grid Resilience Enhancement

Nash Bargaining-Based Pre-disaster Load Curtailment Contract...

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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： Yan, Yunqi Chen, Ying Tsinghua Univ Dept Elect Engn Beijing Peoples R China

ISBN: (纸本)9798350381849;9798350381832

When emergency resources are scarce in extreme weather scenarios, a distribution network (DN) with limited capacity requires load shedding, leading to unforeseen outages. The DN can actively reduce the in-event load level by pre-event load curtailment, but this may affect other users' electricity consumption. In this work, a resilience-oriented collaboration of the load aggregator and the distribution system operator is propsed and modeled as a Nash bargaining game. In this game, a compensation contract is desinged carefully for pre-disaster load curtailments, ensuring system-level resilience enhancement with acceptable costs for both sides. A defender-attacker-defender (DAD) game is proposed to deal with the uncertain branch outages, along with evaluating the resilience enhancement effect of the proposed contract. Case studies are carried out on a modified 16-bus case, which validates the efficacy of the proposed framework.

关键词： distribution network resilience enhancement Nash bargaining theory defender-attacker-defender model

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Optimizing the Resilience of Interdependent Infrastructure Systems against Intentional Attacks 2

Optimizing the Resilience of Interdependent Infrastructure S...

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2nd International Conference on System Reliability and Safety (ICSRS)

作者： Fang, Yiping Zio, Enrico Univ Paris Saclay Cent Supelec Lab Genie Ind Chaire Syst Sci & Energy Challenge 3 Rue Joliot Curie Gif Sur Yvette France Politecn Milan Energy Dept Via La Masa 34 Milan Italy

ISBN: (纸本)9781538633229

This paper develops a defender-attacker-defender (DAD) model for the resilience optimization of interdependent critical infrastructures (CIs) against intentional at-tacks. In the outer level, the system defender identifies the components to be hardened in order to reduce the damage associated with the worst case attack. In the middle level, the attacker disrupts the system to inflict maximum damage. In the inner level, the defender responds to the attack to minimize the consequence of the attack by optimal operation of the system. A recently developed decomposition-based two-layer cutting plane algorithm is adopted to solve the proposed model. A case of interdependent power and water systems is presented to show the proposed model

关键词： resilience intentional attacks interdependent critical infrastructures defender-attacker-defender model optimization

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Extensive-form Game-Based Pre-Disaster Resilience Planning Considering Post-Disaster Restoration Decisions

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FRONTIERS IN ENERGY RESEARCH 2022年 10卷

作者： Chen, Ying Yan, Yunqi Nie, Huanhuan Jiang, Zhe Zhou, Ning Tsinghua Univ Dept Elect Engn Beijing Peoples R China State Grid Henan Elect Power Co Zhengzhou Peoples R China

In recent years, extreme natural disasters have occurred frequently, causing a huge impact on the power grid. In this paper, the method of purchasing and deployment of resources of the distribution network is studied to improve the resilience of the system from the perspective of pre-disaster defense. Considering the sequential game relationship among resource providers, utilities, and extreme disasters, this paper establishes a multi-stage extensive-form game model. To realize collaborative pre- and post-disaster defense of the system, this model comprehensively considers pre-disaster resource deployment, post-disaster reconfiguration and repair crew dispatch. The efficient deriving method of non-inferior solution is designed stage by stage, and the backward induction method is adopted to solve the overall game model efficiently. The experimental results under multiple failure scenarios show the proposed method can give a near-optimal pre-disaster resources purchase and deployment plan that takes into account the characteristics of post-disaster recovery, effectively reducing the expected power loss of the distribution system.

关键词： resilience distribution network extensive-form game defender-attacker-defender model backward induction method

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Power economic dispatch against extreme weather conditions: The price of resilience

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RENEWABLE & SUSTAINABLE ENERGY REVIEWS 2022年第0期157卷 111994-111994页

作者： Lei, Shunbo Pozo, David Wang, Ming-Hao Li, Qifeng Li, Yupeng Peng, Chaoyi Chinese Univ Hong Kong Sch Sci & Engn Shenzhen 518172 Guangdong Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen 518129 Guangdong Peoples R China Skolkovo Inst Sci & Technol Ctr Energy Sci & Technol Moscow 143026 Russia Hong Kong Polytech Univ Dept Elect Engn Hung Hom Kowloon Hong Kong Peoples R China Univ Cent Florida Dept Elect & Comp Engn Orlando FL 32816 USA Hong Kong Baptist Univ Sch Commun Kowloon Tong Kowloon Hong Kong Peoples R China China Southern Power Grid Co Ltd Power Dispatch & Control Ctr Guangzhou 510670 Peoples R China

With climate change, we have been witnessing more frequent extreme weather events causing increasingly common large-scale power outages. It is essential and urgent to improve power system resilience, which also substantially impacts the resilience of dependent infrastructures, such as water and health systems. This work investigates the enhancement of power grid resilience using proactive network-constrained economic dispatch (NCED) strategies. An extreme weather event is modeled as an attacker interdicting a selected set of transmission lines to cause overloading of remaining lines, which potentially leads to cascading failures. We define a set of resilience metrics, with the first one being a weighted number of overloaded lines immediately after the attack to capture the potential cascading chain effect, the second one predicting the worst-case value of the first metric to provide a forward-looking evaluation, and the last one assessing whether each line can be overloaded in the worst case to supply more granular awareness. We also propose a defender-attacker-defender NCED model solved by a column-and-constraint generation algorithm to optimize the defined metrics. The model can generate strategies that (1) enhances resilience without additional NCED cost;(2) further enhances resilience with a budgeted extra NCED cost;and (3) achieves a moving target defense scheme shifting the grid's vulnerable part(s). The associated price of resilience is specifically evaluated. Results on standard test systems demonstrate the proposed methods' effectiveness. Overall, our methods and results provide insights on the establishment of social, economic and environmental resilience by contributing to the resolution of resilience-related power and energy issues.

关键词： Climate change defender-attacker-defender model Extreme weather condition Moving target defense Power economic dispatch Resilience

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