电力转天然气
可再生能源
电力系统
稳健优化
网格
补偿(心理学)
调度(生产过程)
汽车工程
计算机科学
工程类
功率(物理)
数学优化
电气工程
运营管理
数学
心理学
化学
物理
电解
几何学
电极
物理化学
量子力学
精神分析
电解质
作者
Suyang Zhou,Kaiyu Sun,Zhi Wu,Wei Gu,Gaoxiang Wu,Zhe Li,Junjie Li
出处
期刊:Energy
[Elsevier]
日期:2020-03-18
卷期号:199: 117269-117269
被引量:105
标识
DOI:10.1016/j.energy.2020.117269
摘要
This paper studies an Integrated Energy System (IES) and the application of Hydrogen Compressed Natural Gas (HCNG) and Power to Gas (P2G) equipment in IES. Based on the C&CG algorithm, this paper establishes a two-stage robust optimization(TRO) model of the system operating in uncertain environments. Introducing HCNG and P2G equipment into IES can improve the system’s ability to accommodate renewable energy, reduce system operation cost and reduce interaction fluctuation between the system and the main grid. Robust optimization can effectively reduce the risk of system operation in uncertain environments and improve the stability of system operation. Under the compensation of the real-time market, the financial performance of the robust optimization model is better than the deterministic optimization model according to the numerical simulation. This study is helpful to the study of the operation and scheduling of IES in remote areas with weak power system infrastructure and abundant renewable energy resources.
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