This paper focuses on the coordinated operation (CO) of a gas network and electricity network and proposed a novel framework for coordinated operation between them. In this paper, credit ranking (CR) indicator for coupling units was established, and gas consumption constraints information of natural gas-fired units (NGFUs) is generated, natural gas network operator (GNO) will deliver this information to electricity network operator (ENO). The greatest advantage of this operation framework is that no frequent information interaction between GNO and ENO is needed. The entire framework contains two participants and three optimization problems, which are GNO optimization sub-problem-A, GNO optimization sub-problem-B and ENO optimization sub-problem. Decision sequence changed from traditional ENO-GNO-ENO to GNO-ENO-GNO. For ENO optimization sub-problem, a Second-order Cone (SOC) relaxation was utilized and reformulated the original problem as Mixed-Integer Second-Order Cone Programming (MISOCP) problem. For GNO optimization sub-problem, an improve Sequential Cone Programming (SCP) method is applied based on SOC relaxation and converts the original sub-problem to MISOCP problem. Simulations demonstrate the effectiveness of the proposed framework.
Keywords Coordinated operation, convex relaxation, gas network, mixed-integer second-order cone programming