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Security assessment of electricity-gas-heat integrated energy systems based on the vulnerability index.

Authors :
Tian, Xingtao
Lin, Xiaojie
Zhong, Wei
Zhou, Yi
Source :
Energy. Jun2022, Vol. 249, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Integrated energy systems (IES) realize the coupling of different energy flows and help to improve energy efficiency and increase renewable energy consumption. However, due to the coupling effect, variation of operation parameters in one energy flow can be propagated to other ones through the coupling equipment, which results in complex security problems of IES. Here, we propose a security assessment method based on the vulnerability index (VI) for electricity-gas-heat IES. The vulnerability index combines the current values of state variables, operation limits, and sensitivity factors between state variables and control variables simultaneously. Current values are obtained by the solution of the steady-state IES model by the decomposed Newton-Raphson method. Sensitivity factors are derived based on the Jacobian matrix in the IES model. VI matrixes for IES with different control modes are formulated and deduced. The vulnerable state variables and the key control variables are identified based on the VI matrixes. A case study is conducted to validate the proposed method. Vulnerable state variables and key control variables are identified by the absolute value of vulnerability index with the upward and downward adjustment of control variables. These results are verified by energy flow calculations, which show that vulnerable state variables and key control variables derived by vulnerability index are more accurate than those identified by sensitivity factors. In the situations of determining electricity based on heat and determining heat based on electricity, the method proposed herein is 1.73 and 22.45 times faster than energy flow calculations respectively. [Display omitted] • Vulnerability index (VI) is proposed for the integrated energy systems assessment. • The VI combines the state variable value, operation limit, and sensitivity factor. • The VI matrixes under different control modes are derived. • Vulnerable state variables and key control variables are defined via the VI matrixes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03605442
Volume :
249
Database :
Academic Search Index
Journal :
Energy
Publication Type :
Academic Journal
Accession number :
156374088
Full Text :
https://doi.org/10.1016/j.energy.2022.123673