蔡颖凯, 张冶, 曹世龙, 付瀚臣, 刘鑫, 赵莎莎. 面向综合需求响应的综合能源系统优化调度[J]. 电网与清洁能源, 2022, 38(9): 65-72.
引用本文: 蔡颖凯, 张冶, 曹世龙, 付瀚臣, 刘鑫, 赵莎莎. 面向综合需求响应的综合能源系统优化调度[J]. 电网与清洁能源, 2022, 38(9): 65-72.
CAI Yingkai, ZHANG Ye, CAO Shilong, FU Hanchen, LIU Xin, ZHAO Shasha. Optimal Scheduling of the Integrated Electricity and Natural Gas System Considering the Integrated Demand Response[J]. Power system and Clean Energy, 2022, 38(9): 65-72.
Citation: CAI Yingkai, ZHANG Ye, CAO Shilong, FU Hanchen, LIU Xin, ZHAO Shasha. Optimal Scheduling of the Integrated Electricity and Natural Gas System Considering the Integrated Demand Response[J]. Power system and Clean Energy, 2022, 38(9): 65-72.

面向综合需求响应的综合能源系统优化调度

Optimal Scheduling of the Integrated Electricity and Natural Gas System Considering the Integrated Demand Response

  • 摘要: 电能和天然气的强耦合使得电气综合能源系统调度问题复杂化,特别是该类系统需求侧的灵活性显著强于电力系统或天然气系统,基于此,该文旨在解决考虑综合需求侧灵活性的电气综合能源系统优化调度问题。为了充分利用需求侧的灵活性,该文建立了详细能量路由器的综合需求响应模型,与传统需求响应方案不同,综合需求侧响应方案须考虑电力需求和天然气需求的灵活性和可控性。此外,该文建立的综合需求响应模型属于一个优化问题,而不是价格响应问题。基于两级优化框架,实现了能量路由器综合需求响应模型与电气综合能源系统的调度模型的能量交互。然后,将上述优化调度问题建模为一个复杂的双层混合整数非线性规划问题,并提出了一种有效解决上述复杂问题的方法。最后,案例研究验证了所提方法的优越性。

     

    Abstract: The interdependency of electricity and natural gas may limit the operational fi exibility of the integrated electricity and natural gas system(IENGS)and consequently prevent wind power from being integrated. This article aims to solve the problem by incorporating the demand-side fiexibility of energy hubs into the scheduling issue of the IENGS. To fully exploit the demand-side fi exibility,the detailed integrated demand response(IDR)model is developed for the EHs. Unlike the traditional demand response programs in which only elastic electricity demand is considered,both electricity demand and natural gas demand are considered fi exible and controllable in the IDR. Moreover,the IDR is modeled as an optimization issue rather than a price-responsive load bid. The interactions between the ERs’ IDR model and the IENGS’scheduling model are achieved based on the two-level optimization framework.Furthermore,the IDR-embedded scheduling of the IENGS is formulated as a complicated two-level mixed integer nonlinear programming(TL-MINLP) problem. An effective method is proposed to solve the TL-MINLP problem efficiently to enable the IDR-embedded scheduling model to be used in the engineering practice. The case study has verified the benefits of the proposed IDR-embedded scheduling method.

     

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