A Cyber-Secured Operation for Water-Energy Nexus

Pengfei Zhao; Chenghong Gu; Zhidong Cao; Da Xie; Fei Teng

doi:10.1109/TPWRS.2020.3043757

A Cyber-Secured Operation for Water-Energy Nexus

Pengfei Zhao, Chenghong Gu, Zhidong Cao, Da Xie, Fei Teng

Research output: Contribution to journal › Article › peer-review

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Abstract

The wide implementation of information and communication technologies (ICT) cause power system operations exposed to cyber-attacks. Meanwhile, the tendency of integrated multi energy vectors has worsened this issue with multiple energy coupled. This paper proposes a two-stage risk-averse mitigation strategy for water-energy systems (WESs), incorporating power, natural gas and water systems against false data injection attacks (FDIA) under water-energy nexus. The FDIA on individual sub-systems is modelled through hampering false data integrity to the systems. An innovative two-stage risk-averse distributionally robust optimization (RA-DRO) is proposed to mitigate uneconomic operation and provides a coordinated optimal load shedding scheme for the nexus system security. A coherent risk measure, Conditional Value-at-Risk is incorporated into the RA-DRO to model risk. A Benders decomposition method is used to solve the original NP-hard RA-DRO problem. Case studies are demonstrated on a WES under water-energy nexus and results show that the effectiveness of the method to mitigate risks from potential FDIA and renewable uncertainties. This research provides WES operators an economic system operation tool by optimally coordinating energy infrastructures and implementing reasonable load shedding to enhance cybersecurity.

Original language	English
Article number	9290107
Pages (from-to)	3105 - 3117
Number of pages	13
Journal	IEEE Transactions on Power Systems
Volume	36
Issue number	4
Early online date	10 Dec 2020
DOIs	https://doi.org/10.1109/TPWRS.2020.3043757
Publication status	Published - 31 Jul 2021

Bibliographical note

Funding Information:
Manuscript received April 11, 2020; revised August 20, 2020 and November 30, 2020; accepted December 5, 2020. Date of publication December 10, 2020; date of current version June 18, 2021. This work was supported by the National Science Fund for Distinguished Young Scholars, 72025404. This work was supported by the National Natural Science Foundation of China under Grants 72042018 and 71621002. Paper no. TPWRS-00599-2020. (Corresponding author: Zhidong Cao.) Pengfei Zhao and Zhidong Cao are with the Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China, and also with the School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China (e-mail: [email protected]; [email protected]).

Publisher Copyright:
© 1969-2012 IEEE.

Keywords

Distributionally robust optimization
False data injection attacks
Integrated energy system
Mitigation strategy
Risk aversion
Water-energy nexus

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/TPWRS.2020.3043757

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Cite this

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A Cyber-Secured Operation for Water-Energy Nexus

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response

High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits

Cite this

A Cyber-Secured Operation for Water-Energy Nexus

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response

High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits

Cite this