全球气候变化和能源转型的背景下，电力系统面临着包含经济性在内的多方面挑战。为保障新型电力系统良好的经济效益并贯彻落实低碳发展战略，提出了一种包含碳排放额度约束、碳排放强度约束与加入碳捕集碳封存技术约束的多种碳排放约束下的燃气发电系统优化调度方法。首先，将系统经济性和新能源消纳性作为优化目标在基础运行约束上引入所提出的碳排放约束。其次，确定相关参数，采用多目标粒子群优化算法求解模型。最后，在多种约束和多场景下对优化结果进行对比分析。实验结果表明，该方法在降低系统成本和提高新能源消纳能力方面效果显著，对于实现电力系统低碳转型具有重要实际意义。

Against the backdrop of global climate change and energy transition, the power system is facing multiple challenges, including economic viability. To ensure the good economic benefits of the new power system and implement the low-carbon development strategy, this paper proposes an optimal scheduling method for gas power generation system under various carbon emission constraints, including carbon emission quota constraints, carbon emission intensity constraints, and the addition of carbon capture and storage technology constraints. Firstly, system economy and new energy consumption are taken as optimization objectives, and the carbon emission constraint proposed in this paper is introduced on top of the basic operational constraints. Secondly, the relevant parameters are determined, and multi-objective particle swarm optimization algorithm is used to solve the model. Finally, the optimization results are compared and analyzed under multiple constraints and scenarios. The experimental results show that this method has significant effects on reducing system costs and improving the capacity of new energy consumption, which is of great practical significance to achieve low-carbon transformation of the power system.