An Integrated State-Estimation Framework for Interdependent Water and Energy Systems

Recent studies have shown indisputable evidence indicating water and energy networks are two interdependent cyber-physical networks and should be operated cooperatively to maximize their efficiency and resiliency. However, current state-estimation models of water and energy infrastructures are implemented independently in their respective control centers. Such independent state-estimation in energy or water network might not be able to detect false data injections in the other network. In this paper, an integrated state-estimation framework is proposed to process the consistency of the data and estimate the parameters of a combined water and energy network. Compared to standalone state-estimation, an integrated framework proposed in this work makes it more difficult for the attackers to launch stealthy false data injections, as more parameters are involved in the state-estimation that need to be modified for a successful attack. The findings of this research confirm that by accounting for interlinks between hydrological and energy systems, the security of both systems will be improved. The interconnection between the state variables and measurements of the {\color{black}water-energy network is reflected in the energy consuming components of the water system, and is achieved through the measurements of pump's active power consumption in the proposed integrated estimation framework. The framework includes Newton's iterative method for an alternating current (AC) state-estimation procedure for the energy network. The state-estimation of the energy network includes the estimation of voltages using measured parameters of the energy network such as active/reactive power flow/injection or voltages. Moreover, a three-tier state-estimation process based on Newton's iterative method for the water network {\color{black}is contemplated to attain nodal heads, nodal demands, and the flow rate of the pipes without pumps.

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Work Title An Integrated State-Estimation Framework for Interdependent Water and Energy Systems
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Open Access
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  1. Javad Khazaei
License In Copyright (Rights Reserved)
Work Type Article
Publication Date 2020
Deposited February 26, 2021

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    Description
    • Recent studies have shown indisputable evidence indicating water and energy networks are two interdependent cyber-physical networks and should be operated cooperatively to maximize their efficiency and resiliency. However, current state-estimation models of water and energy infrastructures are implemented independently in their respective control centers. Such independent state-estimation in energy or water network might not be able to detect false data injections in the other network. In this paper, an integrated state-estimation framework is proposed to process the consistency of the data and estimate the parameters of a combined water and energy network. Compared to standalone state-estimation, an integrated framework proposed in this work makes it more difficult for the attackers to launch stealthy false data injections, as more parameters are involved in the state-estimation that need to be modified for a successful attack. The findings of this research confirm that by accounting for interlinks between hydrological and energy systems, the security of both systems will be improved. The interconnection between the state variables and measurements of the {\color{black}water-energy network is reflected in the energy consuming components of the water system, and is achieved through the measurements of pump's active power consumption in the proposed integrated estimation framework. The framework includes Newton's iterative method for an alternating current (AC) state-estimation procedure for the energy network. The state-estimation of the energy network includes the estimation of voltages using measured parameters of the energy network such as active/reactive power flow/injection or voltages. Moreover, a three-tier state-estimation process based on Newton's iterative method for the water network {\color{black}is contemplated to attain nodal heads, nodal demands, and the flow rate of the pipes without pumps.
    Publication Date
    • (2020-11-22)
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    • https://rightsstatements.org/page/InC/1.0/
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    Publication Date
    • (2020-11-22)
    • 2020
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