共 41 条
Day-Ahead Optimal Dispatch for Integrated Energy System Considering Power-to-Gas and Dynamic Pipeline Networks
被引:106
作者:
Zhang, Zhenwei
[1
]
Wang, Chengfu
[1
]
Lv, Huacan
[1
]
Liu, Fengquan
[1
]
Sheng, Hongzhang
[1
]
Yang, Ming
[1
]
机构:
[1] Shandong Univ, Sch Elect Engn, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China
关键词:
Pipelines;
Cogeneration;
Resistance heating;
Natural gas;
Dispatching;
Wind power generation;
Energy storage;
Dynamic pipeline networks;
energy hub (EH);
integrated energy system (IES);
optimal operation;
power to gas (P2G);
scenario method;
NATURAL-GAS;
WIND ENERGY;
ELECTRICITY;
OPTIMIZATION;
OPERATION;
MODEL;
FLOW;
UNCERTAINTY;
STORAGE;
IMPACT;
D O I:
10.1109/TIA.2021.3076020
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
A large number of renewable energy resources are integrated into the integrated energy system (IES), which complicates the IES dispatching, especially for accommodating anti-peak-regulation of wind power. To cope with that, a day-ahead IES optimal dispatching method considering power to gas (P2G) units and dynamic pipeline networks is proposed in this article. First, by introducing P2G, an IES structure based on energy hub is established to implement bidirectional flow between power and natural gas systems. Second, the dynamic characteristic of gas pipelines is modeled with energy storage capability, which can improve the flexibility of the natural gas system by regulating the pressure level of pipeline networks. Furthermore, a cooperative dispatching strategy for P2G and pipeline storage capability is presented to catch the flexibility of IES, in which the unbalanced wind power is converted into natural gas and stored in pipeline networks. Finally, case study is verified on the modified IEEE39-NGS20-HS20 and IEEE118-NGS40-HS20 IES systems with different typical wind power scenarios. The proposed cooperative dispatching strategy can effectively increase wind power consumption and reduce operating cost of the whole system without high computation burden.
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页码:3317 / 3328
页数:12
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