Risk-averse stochastic scheduling of hydrogen-based flexible loads under 100% renewable energy scenario

被引:0
|
作者
Chen, Mengxiao [1 ]
Cao, Xiaoyu [1 ,2 ]
Zhang, Zitong [1 ]
Yang, Lun [1 ]
Ma, Donglai [1 ]
Li, Miaomiao [2 ]
机构
[1] Xi An Jiao Tong Univ, Sch Automat Sci & Engn, Xian 710049, Peoples R China
[2] Xi An Jiao Tong Univ, Natl Innovat Platform Ctr Ind Educ Integrat Energy, Xian 710049, Peoples R China
基金
中国国家自然科学基金;
关键词
Renewable energy system; Flexible loads; Hydrogen-electrical microgrid; Stochastic receding-horizon scheduling; Conditional Value-at-Risk; DEMAND RESPONSE; SYSTEMS; STORAGE; POWER; FLEXIBILITY; MICROGRIDS; OPERATION; MARKET;
D O I
10.1016/j.apenergy.2024.123569
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The development of 100% renewable energy (RE) systems provides a viable solution for achieving the global target of carbon neutrality. To support the reliable and economical operation of RE -based local energy networks, this paper presents a joint scheduling model for grid -scale RE generation and hydrogen -based flexible loads. The direct load control (DLC) through hydrogen -electrical microgrids is analytically modeled for leveraging the intrinsic flexibility of demand -side multi -energy synergy. To handle the uncertainty and volatility of RE generation, a risk -averse stochastic programming method with the receding -horizon mechanism is developed. Also, the power balancing cost in scheduling objectives is represented as a conditional value -atrisk (CVaR) measure to control the risks of fully RE supply. Case studies on an exemplary RE system confirm the effectiveness and economic benefits of the proposed method. The hydrogen -enabled DLC can largely mitigate the supply-demand mismatches, which shows a great potential to facilitate 100% RE scenarios.
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页数:11
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