Optimal Scheduling of Integrated Electricity and Gas System Considering Gas-Fired Unit’s Peak-Regulation Loss

Under the background of dual-carbon goal, renewable energy-oriented power system and integrated energy are the trends of energy system. In order to cope with the uncertainty and volatility of renewable energy output, gas-fired unit can serve as a superior peak-regulation source to effectively solve the supply-demand mismatch problem. Nevertheless, rotor loss of gas-fired unit in the peak-regulation process weakens the operation performance and increases the practical cost of providing peak-regulation service. There is security risk of gas-fired unit in the peak-regulation process, especially during deep peak-regulation and startup/shutdown process, which leads to deficiency in the willingness to provide peak-regulation service. In this context, an optimal scheduling model of integrated electricity and gas system (IEGS) considering peak-regulation loss and renewable energy consumption is proposed in the paper. Firstly, peak-regulation loss and peak-regulation cost model is built under startup/shutdown regulation and variable-load regulation mode of gas-fired unit, respectively. On this basis, the optimal IEGS scheduling model taking gas-fired unit’s peak-regulation loss and renewable energy consumption into account is established, aiming at minimizing the total scheduling cost including operation cost considering peak-regulation loss, renewable energy abandoning penalty, load shedding cost and carbon emission cost under gas network constraints, peak-regulation constraints and other constraints. Finally, a case study on a modified IEGS with a high proportion of renewable energy from Guangdong province, China is conducted to verify the effectiveness of the proposed model, and the simulation results demonstrate that the proposed model could obtain the higher renewable energy consumption level and less carbon emission, and could relieve the rotor loss of gas-fired unit.