Multi-scale coordinated optimal dispatch method of electricity-thermal-hydrogen integrated energy systems

IF 1.6 Q4 ENERGY & FUELS IET Energy Systems Integration Pub Date : 2023-05-11 DOI:10.1049/esi2.12100
Wanting Zheng, Hao Xiao, Ziqi Liu, Wei Pei, Mohammed Beshir
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Abstract

To achieve carbon neutrality, renewable energy-based power systems and hydrogen are increasingly being promoted. A novel electricity-thermal-hydrogen integrated energy system that combines new energy generation, multi-source load, and multiple energy storage is proposed by the authors. To address uncertainties in new energy output, and issues of untimely unit regulation response and large planning tracking errors, a multi-scale scheduling method based on model predictive control (MPC) was proposed. In the day-ahead dispatching stage, an optimal economic dispatching model was established with the lowest system operation cost as the optimisation objective. The model considers equipment investment, operation, maintenance, and peak-to-valley differences in electricity prices. In the intraday dispatching stage, an MPC-based intraday rolling optimisation correction strategy was proposed to cope with contact line power fluctuations caused by prediction errors of new energy and multi-source load. This strategy combines time-domain rolling and feedback correction of the real-time system state to eliminate the influence of uncertainty factors in the microgrid. The MPC-based intraday rolling optimal scheduling model was established in the form of a discrete state space and transformed into a quadratic planning problem to improve the efficiency and accuracy of the model solution. Finally, a typical microgrid was used as an example to verify the effectiveness of the proposed method. Results show that the contact line tracking error can be within 0.025 kW, and the single scheduling time was within 0.14 s.

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电-热-氢一体化能源系统的多尺度协调优化调度方法
为了实现碳中和,以可再生能源为基础的电力系统和氢正在日益得到推广。提出了一种集新能源发电、多源负荷、多储能于一体的新型电-热-氢一体化能源系统。针对新能源输出的不确定性、机组调节响应不及时和规划跟踪误差大的问题,提出了一种基于模型预测控制(MPC)的多尺度调度方法。在日前调度阶段,建立了以系统运行成本最低为优化目标的最优经济调度模型。该模型考虑了设备投资、运行维护和电价峰谷差异等因素。在日内调度阶段,针对新能源和多源负荷预测误差引起的接触线功率波动,提出了一种基于mpc的日内滚动优化修正策略。该策略结合了时域滚动和系统实时状态的反馈校正,消除了微电网中不确定性因素的影响。以离散状态空间的形式建立基于mpc的日内滚动最优调度模型,并将其转化为二次规划问题,以提高模型求解的效率和精度。最后,以一个典型微电网为例,验证了所提方法的有效性。结果表明,接触线跟踪误差可控制在0.025 kW以内,单次调度时间在0.14 s以内。
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来源期刊
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
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