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计及多重需求响应的电-热-氢综合能源系统多时间尺度低碳运行
引用本文:吴艳娟,张亦炫,王云亮. 计及多重需求响应的电-热-氢综合能源系统多时间尺度低碳运行[J]. 电力工程技术, 2024, 43(2): 21-32
作者姓名:吴艳娟  张亦炫  王云亮
作者单位:天津理工大学电气工程与自动化学院,天津理工大学电气工程与自动化学院,天津理工大学电气工程与自动化学院
基金项目:天津市科技计划项目 智能农机装备的研究应用 22ZYCGSN00190
摘    要:在双碳背景下,针对综合能源系统(integrated energy system, IES)中需求侧资源响应能力差异性以及不同能源管理时间尺度差异性,提出了一种计及多重需求响应的电-热-氢IES多时间尺度低碳调度策略。首先,考虑到需求侧资源在不同时间尺度下的响应特性不同,建立了日前-日内多重综合需求响应模型。其次,为减少源、荷预测误差对系统运行的影响,构建了IES多时间尺度低碳调度模型。其中,日前低碳调度以购能成本、阶梯型碳交易成本和运维成本之和最低为目标,制定一天24小时出力计划;日内调度则考虑到电-热能在不同时间尺度下的响应差异性,建立了双时间尺度的滚动优化调度模型,平抑功率波动。算例仿真结果表明,所提策略能够充分发挥需求侧资源的响应能力,通过协调各设备出力和需求响应资源来平抑系统功率波动,实现IES低碳、经济和稳定运行。

关 键 词:综合能源系统;综合需求响应;氢能;多时间尺度;低碳优化;响应差异性
收稿时间:2022-10-22
修稿时间:2023-04-14

Collaborative optimal scheduling of hydrogen energy coupled integrated energy system considering integrated demand response and carbon trading
Wu Yanjuan,Zhang Yixuan and Wang Yunliang. Collaborative optimal scheduling of hydrogen energy coupled integrated energy system considering integrated demand response and carbon trading[J]. Electric Power Engineering Technology, 2024, 43(2): 21-32
Authors:Wu Yanjuan  Zhang Yixuan  Wang Yunliang
Affiliation:College of Electrical Engineering and Automation,Tianjin University of Technology,College of Electrical Engineering and Automation,Tianjin University of Technology,College of Electrical Engineering and Automation,Tianjin University of Technology
Abstract:In the context of dual carbon, aiming at the difference of different energy management time scales and the uncertainty of renewable energy and load in the integrated energy system, this paper proposes a multi time scale low-carbon scheduling strategy for the electric-thermal-hydrogen integrated energy system taking into account the multiple incentive demand response. Firstly, considering the response difference of demand side resources under different time scales, a demand response model with day ahead–intra-day multiple incentives is established. Then, in the day-ahead scheduling, aiming at minimizing the sum of energy purchase cost, stepped carbon transaction cost and operation and maintenance cost, an electricity heat hydrogen IES day-ahead low-carbon scheduling model based on day-ahead demand response is constructed; Considering the response difference of electricity, heat, gas and hydrogen energy under different time scales, a two time scale rolling optimal scheduling model based on intra-day demand response is established to stabilize power fluctuations. The simulation results show that the proposed model can give full play to the response ability of demand side resources, stabilize the power fluctuation of the system by coordinating the output of each equipment and demand response resources, and realize the low-carbon, economic and stable operation of the system.
Keywords:hydrogen energy   integrated demand response   multi time scale   low carbon optimization   multiple incentives
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