Robust coordination of interdependent electricity and natural gas systems in day-ahead scheduling for facilitating volatile renewable generations via power-to-gas technology
被引:86
作者:
论文数: 引用数:
h-index:
机构:
He, Chuan
[1
]
论文数: 引用数:
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机构:
Liu, Tianqi
[1
]
论文数: 引用数:
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机构:
Wu, Lei
[2
]
Shahidehpour, Mohammad
论文数: 0引用数: 0
h-index: 0
机构:
IIT, Elect & Comp Engn Dept, Chicago, IL 60616 USASichuan Univ, Sch Elect Engn & Informat, Chengdu 610065, Peoples R China
Shahidehpour, Mohammad
[3
]
机构:
[1] Sichuan Univ, Sch Elect Engn & Informat, Chengdu 610065, Peoples R China
[2] Clarkson Univ, Elect & Comp Engn Dept, Potsdam, NY 13699 USA
[3] IIT, Elect & Comp Engn Dept, Chicago, IL 60616 USA
Robust day-ahead scheduling;
Electricity and natural gas coordination;
Renewable energy;
Power-to-gas;
Column-and-constraint generation;
CONSTRAINED UNIT COMMITMENT;
WIND ENERGY;
SECURITY;
CONGESTION;
OPERATION;
NETWORKS;
PROGRAMS;
PLANTS;
HYDRO;
D O I:
10.1007/s40565-017-0278-z
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
080906 [电磁信息功能材料与结构];
082806 [农业信息与电气工程];
摘要:
The increasing interdependency of electricity and natural gas systems promotes coordination of the two systems for ensuring operational security and economics. This paper proposes a robust day-ahead scheduling model for the optimal coordinated operation of integrated energy systems while considering key uncertainties of the power system and natural gas system operation cost. Energy hub, with collocated gas-fired units, power-to-gas (PtG) facilities, and natural gas storages, is considered to store or convert one type of energy (i.e., electricity or natural gas) into the other form, which could analogously function as large-scale electrical energy storages. The column-and-constraint generation (C& CG) is adopted to solve the proposed integrated robust model, in which nonlinear natural gas network constraints are reformulated via a set of linear constraints. Numerical experiments signify the effectiveness of the proposed model for handling volatile electrical loads and renewable generations via the coordinated scheduling of electricity and natural gas systems.
机构:
Johannes Kepler Univ Linz, Energy Inst, Dept Energy Technol, A-4040 Linz, AustriaJohannes Kepler Univ Linz, Energy Inst, Dept Energy Technol, A-4040 Linz, Austria
机构:
Johannes Kepler Univ Linz, Energy Inst, Dept Energy Technol, A-4040 Linz, AustriaJohannes Kepler Univ Linz, Energy Inst, Dept Energy Technol, A-4040 Linz, Austria