Probabilistic energy flow and risk assessment of Electricity–Gas systems considering the thermodynamic process

Shiyuan Bao, Zhifang Yang, Juan Yu, Wei Dai, Lin Guo and Hongxin Yu

Energy, 2019, vol. 189, issue C

Abstract: The existing analyses of the electricity–gas systems generally do not regard the nodal gas temperature as a state variable. However, the temperature variations caused by the thermodynamic process are important because of the following two reasons: 1) gas temperature influences the pressure and gas flow; 2) gas temperature is an important indicator for hydrate formation in gas networks, which greatly jeopardizes the gas transmission. We herein propose a probabilistic energy flow method considering the thermodynamic process in gas networks. To build the energy flow model, the algebraic pipeline flow model under the non-isothermal condition is derived according to a set of partial differential equations reflecting the thermodynamic process. The models of pressure-regulating stations and compression stations considering the thermodynamic processes are presented in an electricity–gas analysis for the first time. Risk indices are proposed to quantify the risks of hydrate formation and state variables that exceed the limits. The simulation results of two test cases demonstrate the effectiveness of the proposed method.

Keywords: Electricity–gas systems; Probabilistic energy flow; Thermodynamic process; Pressure-regulating stations; Hydrate formation (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319589

DOI: 10.1016/j.energy.2019.116263

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