Multi-scenario two-stage dispatch decision-making model for wind farm with integrated energy storage
被引:2
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作者:
Gao, Hongjun
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机构:
School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, ChinaSchool of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
Gao, Hongjun
[1
]
Liu, Junyong
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机构:
School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, ChinaSchool of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
Liu, Junyong
[1
]
Wei, Zhenbo
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机构:
School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, ChinaSchool of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
Wei, Zhenbo
[1
]
Liu, Youbo
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机构:
School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, ChinaSchool of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
Liu, Youbo
[1
]
Wang, Wei
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机构:
Gansu Provincial Electric Power Company, Lanzhou 730050, ChinaSchool of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
Wang, Wei
[2
]
Li, Xia
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机构:
School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, ChinaSchool of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
Li, Xia
[1
]
机构:
[1] School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
[2] Gansu Provincial Electric Power Company, Lanzhou 730050, China
Decision making models - Economic Dispatch - Energy storage systems - Forecast errors - Integrated energy storages - Modeling of power systems - Numerical results - Scenario set;
D O I:
10.3969/j.issn.1006-6047.2014.01.023
中图分类号:
学科分类号:
摘要:
With the consideration of its fluctuation and randomness, the uncertainty of wind power is introduced to the dispatch model of power system with wind farm and a two-stage decision-making model including day-ahead unit commitment and intra-day rolling economic dispatch is developed. The unit commitment model applies the scenario set to describe the uncertainty of wind power and considers the wind curtailment and load shedding to improve the stable and economic system operation, while the intra-day rolling economic dispatch model applies the wind curtailment and load shedding as the slack variables to enhance its convergence. The two-stage model includes the energy storage system to suppress the fluctuation of wind power. Numerical results show that the proposed model suppresses effectively the influence of wind power uncertainty and improves the robustness of dispatch decision-making.