清洁能源消纳是当前我国电力市场改革加速推进的一项重要目标。在此背景下,文章构建了混合市场环境下计及电转气(power-to-gas,P2G)的园区燃气机组调峰优化模型。首先,设计了风光机组、燃气机组、电转气和储气罐参与的园区电力系统运行结构;其次,计及绿证交易市场和调峰辅助服务市场机制,分别构建了园区发电机组绿证交易模型和调峰补偿模型;然后,以清洁能源消纳最大化、燃气调峰意愿最大化、CO₂排放最小化和系统净收益最大化为目标,构建了清洁能源驱动下含P2G设备的园区供电系统经济调度数学模型;最后,采用混沌粒子群算法对模型求解。结果表明,此模型兼顾了P2G设备以及调峰补偿机制的园区电力系统,清洁能源消纳率提升了6.69%,CO₂排放量减少了14.66 t;燃气机组积极参与了调峰,系统净收益最高提升了18.706万元,验证了所提模型的有效性,并体现了求解算法较好的收敛效果。

Clean energy power accommodation is a key goal that China has been chasing currently since the power market reform was carried out. Under this background, this paper constructs a peak-regulation optimization model for gas-fired generators in parks with power-to-gas units employed under the mixed market environment. Firstly, the structure of a park power system with photovoltaic and wind power generators, gas-fired generators, a power-to-gas converter, and a gas storage tank is designed. Secondly, with consideration of the green certificate market and peak-regulation compensation mechanism, green certificate trading models for power units in the park and a peak-regulation compensation model are both built. Thirdly, a mathematical model of economic dispatch for park power supply systems with power-to-gas units and clean energy power generation is built, in the pursuit of the minimum CO₂ emission and the maximum clean energy power accommodation, peak-regulation willingness of gas-fired generators and system’s revenue. The model is solved by using the chaos particle swarm optimization algorithm. The following results are obtained: 1) the consumption rate of clean energy power has increased 6.69% and the CO₂ emission has reduced 14.66 tons, in the scenario with both power-to-gas and peak-regulation compensation mechanism involved; 2) the revenue of the system has increased up to 187,060 Yuan, after fully considering gas-fired generators’ participation in peak regulation, thus verifying the effectiveness of the proposed model and showing a better convergence effect of the algorithm.