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

Abstract

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.

Transmission Contingency Analysis Based on Data-Driven Equivalencing of Radial Distribution Networks Considering Uncertainties

“…Here, a two-point estimation is applied for online model training. Then, a3, a0, b2, b0 could be solved with (10). Note that there are two roots for a3, a0, b2, b0 since (10a) and (10b) are quadratic equations.…”

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A Reliability Model for Integrated Energy System Considering Multi-energy Correlation

“…They can depict the impact of stochastic failures and operation characteristics of the natural gas network on the electricity network. Reference [21] combines the above network equivalent method and the optimal power flow simulation method. A new analytical method is proposed to estimate the failure probability of an IES considering multiple correlated failure risks based on a reliability estimation theory [22].…”

Analytical Calculation Method of Reliability Sensitivity Indexes for Distribution Systems Based on Fault Incidence Matrix

“…T HE reliability level of a distribution system has a significant impact on customers [1], [2]. With the development of electricity market, the continuity of service has be-come one of the most important competitive factors for power grid operators.…”