Reliability evaluation of integrated electricity–gas system utilizing network equivalent and integrated optimal power flow techniques

• Main Authors: Sheng Wang, Yi Ding, Chengjin Ye, Can Wan, Yuchang Mo
• Format: Article
• Language: English
• Published: IEEE 2019-01-01
• Series: Journal of Modern Power Systems and Clean Energy
• Subjects: Integrated electricity–gas system; Integrated electricity and gas optimal power flow; Reliability network equivalent; Time-sequential Monte Carlo simulation
• Online Access: https://ieeexplore.ieee.org/document/8964533/

The wide utilization of gas-fired generation and the rapid development of power-to-gas technologies have led to the intensified integration of electricity and gas systems. The random failures of components in either electricity or gas system may have a considerable impact on the reliabilities of both systems. Therefore, it is necessary to evaluate the reliabilities of electricity and gas systems considering their integration. In this paper, a novel reliability evaluation method for integrated electricity–gas systems (IEGSs) is proposed. First, reliability network equivalents are utilized to represent reliability models of gas-fired generating units, gas sources (GSs), power-to-gas facilities, and other conventional generating units in IEGS. A contingency management schema is then developed considering the coupling between electricity and gas systems based on an optimal power flow technique. Finally, the time-sequential Monte Carlo simulation approach is used to model the chronological characteristics of the corresponding reliability network equivalents. The proposed method is capable to evaluate customers' reliabilities in IEGS, which is illustrated on an integrated IEEE Reliability Test System and Belgium gas transmission system.