Multi-objective Operation Optimization of Electric-gas-thermal Integrated Energy System for Improving Wind Power Accommodation Capacity

With the increase of wind power installed capacity, its accommodation capacity becomes a huge challenge because of its uncertainty and intermittency. The introduction of power to gas(P2G) equipment makes it possible to improve wind power accommodation capacity. In this paper, a multi-objective operation optimization problem of electric-gas-thermal integrated energy system (IES) for improving wind power accommodation capacity is considered. First, an electric-gas-thermal IES model with P2G equipment considering a set of operation constraints is established. Then, it is transformed into a multi-objective operation optimization problem to minimize the operation cost and wind curtailment. Furthermore, an artificial bee colony algorithm is proposed to solve the optimization problem. Finally, the effectiveness of the proposed algorithm is verified by various scenarios of 9 nodes simulation with IES test system.