基于分层经济模型预测控制框架的可持续光伏储氢微电网能源管理

Q2 Energy
Xinyu Guo, Faying Gu, Hongxu Liu, Yongcheng Yu, Runjie Li, Juan Wang
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引用次数: 0

摘要

氢基可再生微电网被认为是一种有前景的发电技术,可以减少碳足迹,应对气候变化,促进可再生能源的整合。光伏储氢(PHS)微电网系统巧妙地整合了可再生清洁能源和储氢,提供了一个可持续的解决方案,最大限度地利用太阳能。然而,多变的天气条件和多变的市场给系统的能量平衡管理带来了挑战。此外,针对现有能源管理系统往往忽视微电网动态协同的问题,提出了一种层次经济模型预测控制(HEMPC)框架,实现小PHS微电网的最优运行。首先,建立了小灵通微电网的精确非线性模型,并引入了逻辑变量来捕捉氢装置的短期特性,即电解槽和燃料电池的启动/关闭。然后,在提出的两级HEMPC框架中考虑了综合经济成本函数,包括内部电力需求跟踪成本、系统运行成本和合同偏差成本,以应对波动的天气条件、动态的市场环境以及经常被忽视的微网组件的动态协同等挑战。在该框架下,上层长期EMPC解决混合整数非线性优化问题,调节氢装置的启动/关闭和电池的充电状态,下层短期EMPC在跟踪长期EMPC的最优参考信号的同时,对电力需求跟踪成本进行再优化,从而提高控制系统的整体效率。仿真结果以及定性和定量分析表明,与基于规则的控制相比,所提出的HEMPC能够有效地管理设备输出功率,实现动态协同,提高经济效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainable PV-hydrogen-storage microgrid energy management using a hierarchical economic model predictive control framework

Hydrogen-based renewable microgrid is considered as a prospective technique in power generation to reduce the carbon footprint, combat climate change and promote renewable energy sources integration. The photovoltaic-hydrogen-storage (PHS) microgrid system cleverly integrates renewable clean energy and hydrogen storage, providing a sustainable solution that maximizes the solar energy utilization. However, the changeable weather conditions and fluid market make it challenging to manage energy balance of the system. Moreover, in view of the fact that the existing energy management systems often ignore the dynamic synergy of microgrids, a hierarchical economic model predictive control (HEMPC) framework is proposed to realize the optimal operation of PHS microgrid. First, a precise nonlinear model of the PHS microgrid is established and the logic variables are introduced to capture the hydrogen devices’ short-term properties, i.e., the start-up/shut-down of electrolyzers and fuel cells. Then a comprehensive economic cost function, including internal power demand tracking cost, system operation cost and contract deviation cost, is considered in the proposed two-level HEMPC framework in order to address challenges such as fluctuating weather conditions, dynamic market environments, and the often-overlooked dynamic synergy of microgrid components. Under the proposed framework, a mixed-integer nonlinear optimization problem is solved by the long-term EMPC in the upper level to regulate the start-up/shut-down of hydrogen devices and the state of charge in the battery, and the short-term EMPC in the lower level reoptimizes the power demand tracking cost while tracking the optimal reference signal from the long-term EMPC, thereby improving overall control system efficiency. The simulation results along with qualitative and quantitative analysis show that compared with rule-based control, the proposed HEMPC is effective in managing the equipment power output, realizing dynamic synergy and enhancing the economic performance.

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来源期刊
Energy Informatics
Energy Informatics Computer Science-Computer Networks and Communications
CiteScore
5.50
自引率
0.00%
发文量
34
审稿时长
5 weeks
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