Developing Effective Strategies for Enhancing Power System Resiliency in the Presence of Cyber-Physical Attacks
Developing Effective Strategies for Enhancing Power System Resiliency in the Presence of Cyber-Physical Attacks
批准号:
1711617
负责人:
Lingfeng Wang
金额:
$26.4万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2021-07-31
中文摘要
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英文摘要
As compared with the traditional power system, one of the major characteristics of the evolving smart grid is the widespread deployment of more cyber technologies for achieving various measurement, communication, and control functionalities. However, the implementation of myriad information and communication technologies will inevitably increase the cyber vulnerability of the power grid. Besides cyber intrusions, the power grid is also under emerging threats from physical attacks. For example, attackers could physically attack deliberately selected equipment to disrupt the power supply. Man-made sabotage in the form of potential terrorist activities are also receiving more attention recently. This project will lead to transformative results by addressing several pressing smart grid cyber-physical security problems. It will significantly advance the state of the art by developing a comprehensive framework for cyber-physical risk assessment and mitigation scheme development. The developed cyber-physical security analysis models will be able to cover a wide range of uncertainties in physical components, cyber vulnerability, physical vulnerability, human factors, etc. This is expected to lead to significant advancement in the field of power system cyber-physical security, resiliency, and trustworthiness by considering a comprehensive set of uncertain factors. The quantitative study in the project will enable more informed decision-making for power system operators and planners. The project outcomes will allow utilities, regulators, and government agencies to evaluate and improve cyber-physical security and resiliency of modern electric power systems. In addition, the research outcomes will be integrated into a wide variety of educational and outreach activities for equipping the next-generation workforce with the awareness on the emerging cyber-physical vulnerabilities in national critical infrastructures. Implementation of myriad advanced sensing, communication, and control technologies in smart grid deployment also increases concerns on cyber-physical vulnerability, and research in this field will be critical to the success of the smart grid in the long term. The major goal of this project is to enhance power system resiliency in the presence of emerging cyber-physical attacks. Three novel strategies are proposed for this purpose which can be deployed in either the system planning or operation stage, including the efficient identification of comprehensive critical contingencies relating to cyber-physical attacks, resiliency-oriented security-constrained optimal power flow, and robust optimization based power system protection accounting for uncertainties. The major research tasks of this project are: 1) developing an efficient procedure for comprehensively identifying the critical components in a power system based on an integrated state space pruning and intelligent search methodology; 2) developing a novel resiliency-oriented optimal power flow framework and an associated hybrid parallel computing solution; and 3) developing a novel scheme for allocating defensive resources to minimize damage considering the uncertainties in offensive resources based on a multiple-attack-scenario defender-attacker-defender model. These proposed defense strategies could result in major enhancement of the resiliency of contemporary power grids in the presence of adverse, significant cyber-physical events.
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DOI:
10.1109/tifs.2021.3065504
发表时间:
2021
期刊:
IEEE Transactions on Information Forensics and Security
影响因子:
6.8
作者:
[Zhaoxi Liu;Lingfeng Wang]
通讯作者:
Zhaoxi Liu;Lingfeng Wang
DOI:
10.1109/tsg.2020.3028123
发表时间:
2021-03-01
期刊:
IEEE TRANSACTIONS ON SMART GRID
影响因子:
9.6
作者:
[Liu, Zhaoxi, Wang, Lingfeng]
通讯作者:
Wang, Lingfeng
Topology Identification of Distribution Networks Using A Split-EM based Data-Driven Approach
使用基于 Split-EM 的数据驱动方法进行配电网拓扑识别
DOI:
10.1109/tpwrs.2021.3119649
发表时间:
2022
期刊:
IEEE Transactions on Power Systems
影响因子:
6.6
作者:
[Ma, Li, Wang, Lingfeng, Liu, Zhaoxi]
通讯作者:
Liu, Zhaoxi
Reinforcement-learning-based dynamic defense strategy of multistage game against dynamic load altering attack
基于强化学习的多阶段博弈动态负载改变攻击动态防御策略
DOI:
10.1016/j.ijepes.2021.107113
发表时间:
2021
期刊:
International Journal of Electrical Power & Energy Systems
影响因子:
5.2
作者:
[Guo, Youqi, Wang, Lingfeng, Liu, Zhaoxi, Shen, Yitong]
通讯作者:
Shen, Yitong
DOI:
10.1109/tsg.2020.3023426
发表时间:
2021-03-01
期刊:
IEEE TRANSACTIONS ON SMART GRID
影响因子:
9.6
作者:
[Liu, Zhaoxi, Wang, Lingfeng]
通讯作者:
Wang, Lingfeng
CPS: Medium: Collaborative Research: An Actuarial Framework of Cyber Risk Management for Power Grids
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批准号:1739485
-
项目类别:Standard Grant
-
资助金额:$35.21万
-
财政年份:2017
-
负责人:Lingfeng Wang
-
依托单位:
Collaborative Research: Integrated Vulnerability-Reliability Modeling and Analysis of Cyber-Physical Power Systems
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批准号:1128594
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2012
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负责人:Lingfeng Wang
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依托单位:
海外基金