潘婷, 许彦斌, 王雨晴, 蔡瑞宁, 曾鸣. 考虑广义综合需求响应的综合能源系统调度优化[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2023.0173
引用本文: 潘婷, 许彦斌, 王雨晴, 蔡瑞宁, 曾鸣. 考虑广义综合需求响应的综合能源系统调度优化[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2023.0173
PAN Ting, XU Yanbin, WANG Yuqing, CAI Ruining, ZENG Ming. Integrated Energy System Dispatch Optimization Considering Generalized Integrated Demand Response[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0173
Citation: PAN Ting, XU Yanbin, WANG Yuqing, CAI Ruining, ZENG Ming. Integrated Energy System Dispatch Optimization Considering Generalized Integrated Demand Response[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0173

考虑广义综合需求响应的综合能源系统调度优化

Integrated Energy System Dispatch Optimization Considering Generalized Integrated Demand Response

  • 摘要: 在“碳达峰、碳中和”目标背景下,进一步提升综合能源系统(integrated energy system,IES)运行的经济性和低碳性是助力能源电力系统清洁转型的关键问题之一。首先,提出一种广义综合需求响应机制(integrated demand response,IDR),在源侧引入有机朗肯循环(organic rankine cycle,ORC)–余热锅炉(waste heat boiler,WHB)设备,在负荷侧利用用户电热IDR,以实现IES中供需双侧的互动响应。在此基础上,提出一种更为灵活的碳捕集运行模式,以实现系统碳排放量的降低。最后,以系统总成本最小为目标,构建热电耦合IES经济低碳优化调度模型,并基于序列运算的机会约束规划处理风光出力不确定性问题。通过算例仿真表明:相比传统的IES调度模型,所提模型可以显著降低IES的总运行成本及碳排放量,促进系统新能源的消纳。

     

    Abstract: Under the background of the goal of "carbon peaking and carbon neutrality", further improvement in the economy and low carbon of the operation of the integrated energy system (IES) is a crucial factor in facilitating the clean energy transformation and upgrading. Firstly, an integrated demand response (IDR) generalized demand response (IDR) is proposed. The organic Rankine Cycle (ORC)-waste heat boiler (WHB) equipment is introduced on the source side, while to achieve the interactive response of both supply and demand in IES, the user electric heat IDR is used on the load side. On this basis, a more flexible carbon capture operation mode is proposed, wherein the remaining power after the system coordination and dispatch is utilized for systematic carbon capture. Finally, with the objective of minimizing the overall cost of the system, a thermoelectric coupling IES economic low-carbon optimal scheduling model is constructed. Additionally, the issue of uncertainty in wind and solar output is addressed based on the opportunity constraint planning of sequence operations. The simulation demonstrates that compared with the traditional thermoelectric coupling IES model, the proposed model can significantly reduce the total operating cost and carbon emission of IES. Moreover, it can promote the consumption of new energy within the system.

     

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