The wide application of gas-fired units has enhanced the interdependency between electrical power system and natural gas system and raised the necessity on coordinated analysis on integrated energy systems. This paper focuses on the optimal electricity-gas flow (OEGF) analysis of an integrated electricity and natural gas system (IEGS) and proposes a linearized OEGF model considering electricity transmission losses (E TL). The modified direct current (DC) power flow model embedded ETL and a steady-state gas flow formulation are adopted to describe the IEGS. The E TL is modeled by a quadratic function of electrical phase angles. To address the nonlinear ETL model and nonconvex gas flow equations, the Taylor expansion is employed for linearization to reduce the computation burden. To obtain the high-quality initial points for Taylor expansion and then guarantee the accuracy of linearization, a two-stage linearized method is further developed to solve the proposed OEGF model. Numerical results on an IEGS with the IEEE 14-bus system and a 12-nodel gas system demonstrate the effectiveness of proposed OEGF method.

Decentralized regional multienergy system is one of the important development directions of energy and power systems, and researching on the optimization method of multienergy microgrid configuration could provide important support for the investment income guarantee and orderly development of regional multienergy systems. Based on a park-level multienergy microgrid, this paper proposed a multiobjective optimization model for a multienergy microgrid configuration based on the typical scenario set which was constructed by HMM. Besides, based on the actual historical data, the capacity configuration-oriented planning model and component configuration-oriented planning model were analysed and compared under different external environments. The results show that HMM has a good effect on the reduction and extraction of historical scenarios of the system. Compared with the traditional microgrid, the multienergy microgrid has better economic and emission reduction advantages. In addition, the capacity configuration-oriented planning model could reduce the investment cost by up to 62.4% compared with the component configuration-oriented planning model.