基于粒计算的电-气互联能源系统低碳经济调度

The bidirectional energy conversion of electricity and natural gas systems is achieved by gas-fired power plants and power-to-gas technology, which results in the research on the operation optimization of electricity and natural gas systems under the both operation constraints of power system and natural gas system. However, new challenges have also been presented for existing methods due to the complexity system structure and various influence factors. In the background of low-carbon economy, this project aims at studying the low-carbon economic dispatch issue for electricity and natural gas systems. First, the power supply side and power-to-gas facility are mainly focused on, and the low-carbon economic dispatch model of electricity and natural gas systems is established by considering the carbon capture system and power-to-gas facility simultaneously. Second, the demand response strategy of electricity and natural gas systems is proposed, and it is adopted to improve the low-carbon economic dispatch of electricity and natural gas systems. In addition, to form the solution framework for proposed models, the granulation method is given for the multi-objective optimal dispatch of electricity and natural gas systems. Finally, the multi-objective bacterial colony chemotaxis algorithm is improved by combining the presented solution framework, which is further applied for the fast optimization of proposed models. The research results will establish the theoretical basis for the research on low-carbon economic dispatch of electricity and natural gas systems, which has an important guiding significance for the low-carbon economic planning and operation of integrated energy systems in the future.

燃气电厂和电转气技术实现了电力系统和天然气系统之间的双向能量转换，催生了同时计及电力系统和天然气系统运行约束的电-气互联能源系统运行研究，但是系统的复杂结构和影响因素对现有研究方法提出了新的挑战。本项目以低碳经济发展为背景，拟针对电-气互联能源系统低碳经济调度问题展开研究。首先从电力系统电源侧和耦合元件电转气厂站入手，建立计及碳捕集系统和电转气厂站联合运行的电-气互联能源系统低碳经济调度模型；其次提出电-气互联能源系统需求侧响应策略，在此基础上建立考虑需求侧响应的电-气互联能源系统低碳经济调度模型；进一步研究电-气互联能源系统多目标优化调度问题的粒化方法，构建提出模型的快速求解框架；最后融合快速求解框架研究多目标细菌群体趋药性算法改进，实现提出模型的快速求解。研究结果将奠定电-气互联能源系统低碳经济调度理论基础，对未来综合能源系统的低碳经济规划和运行具有重要的指导意义。

本项目在考虑气候与环境污染相关政策下，融入电转气技术、需求响应和排放控制技术，挖掘电-气互联能源系统联合运行潜力，对电-气互联能源系统低碳经济调度建模和求解方法展开研究，具有重要的理论价值和实际意义。首先，提出了联合碳捕集系统、电转气设备和附加设备的灵活运行模式，建立了计及该灵活运行模式的电-气互联能源系统低碳经济调度模型，并通过仿真验证了该运行模式的经济和环境优势；其次，通过能量枢纽集成综合需求响应，提出了考虑空气污染控制技术和综合需求响应的电-气互联能源系统环境经济调度模型，并通过仿真验证了所提需求响应策略能够促进风电消纳和降低运行成本；然后，提出了电-气互联能源系统低碳经济调度模型的时段粒化和结构粒化策略，实现降低变量维数，加快模型求解速度；最后，提出了一种基于指标改进的多目标细菌群体趋药性算法和一种基于帕累托支配的多目标细菌群体趋药性改进算法，并通过仿真测试验证了两种改进算法在收敛性、解集多样性、时间效率和收敛速度上的优越性能。