A State Estimation Solution Method for Electricity-Gas Integrated Energy System Based on AWPSO

The electricity-gas integrated energy system (EGIES) can not only realize the energy conversion between electricity and natural gas, but also effectively improve the energy utilization rate and promote the low-carbon transformation of the energy system. State estimation technology can provide accurate operation state data for the system, and is the key cornerstone of safe and reliable operation of the system. However, the improper selection of the initial value of the gas grid in the EGIES will cause the convergence difficulty of the state estimation solution, and bring challenges to the stable operation of the EGIES. Therefore, a state estimation solution method of EGIES based on (adaptive weight particle swarm optimization) AWPSO is proposed in this paper. The EGIES measurement model was established; the EGIES state estimation model is constructed based on (weighted least square) WLS; the constraint is treated as a penalty function, and an unconstrained EGIES state estimation model is established and solved by AWPSO. The effectiveness and feasibility of the proposed method have been verified by a case study of an EGIES coupled with a14-node power grid and a 7-node gas grid.