Cooperated Bidding of Aggregators to Meet Eligibility Requirements of Ancillary Service Market
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作者:
Wang, Ying
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机构:
Southeast Univ, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 211189, Jiangsu, Peoples R ChinaSoutheast Univ, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 211189, Jiangsu, Peoples R China
Wang, Ying
[1
]
Zhao, Jing
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机构:
Southeast Univ, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 211189, Jiangsu, Peoples R ChinaSoutheast Univ, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 211189, Jiangsu, Peoples R China
Zhao, Jing
[1
]
Xu, Lizhong
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h-index: 0
机构:
Zhejiang Elect Power Corp, Hangzhou 310007, Zhejiang, Peoples R ChinaSoutheast Univ, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 211189, Jiangsu, Peoples R China
Xu, Lizhong
[2
]
Zhou, Jing
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机构:
China Elect Power Res Inst, Nanjing 100192, Peoples R ChinaSoutheast Univ, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 211189, Jiangsu, Peoples R China
Zhou, Jing
[3
]
Zhang, Kaifeng
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机构:
Southeast Univ, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 211189, Jiangsu, Peoples R ChinaSoutheast Univ, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 211189, Jiangsu, Peoples R China
Zhang, Kaifeng
[1
]
机构:
[1] Southeast Univ, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 211189, Jiangsu, Peoples R China
[2] Zhejiang Elect Power Corp, Hangzhou 310007, Zhejiang, Peoples R China
[3] China Elect Power Res Inst, Nanjing 100192, Peoples R China
Optimization;
Spinning;
Reliability;
Power system reliability;
Uncertainty;
Regulation;
Distributed power generation;
Alternating direction method of multipliers;
ancillary service market;
cooperated bidding;
eligibility requirements;
optimal bidding;
VIRTUAL POWER-PLANT;
ELECTRIC VEHICLE AGGREGATOR;
DEMAND RESPONSE;
ROBUST OPTIMIZATION;
RESERVE MARKETS;
STRATEGY;
ENERGY;
CAPACITY;
DISPATCH;
D O I:
10.1109/TIA.2023.3284787
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
Aggregators, especially those with non-generating, energy-limited or uncertain resources, often have problems of not meeting the eligibility requirements of the electricity markets, which limits their opportunities to profit from the markets. To this end, this paper proposes a cooperated bidding model to help the unqualified aggregators to meet two main eligibility requirements, i.e., minimum power requirement and minimum duration time requirement. In specific, two cooperation models are built up in the pre-bidding process. An add-up power constraint is built to combine the small-power resources into a larger one, and a pack-up model is proposed to pack up the duration-unqualified resources into an equivalent qualified one. Then, the above models are embedded into the cooperated bidding optimization model. Two solving strategies, including a centralized optimization and a distributed optimization algorithm based on the alternating direction method of multipliers (ADMM), are developed. The latter one requires only the information of to-be-cooperated resources and interexchange power, which can better protect the private data of the cooperated aggregators. Case studies verify the feasibility and effectiveness of the proposed cooperation method.
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收藏
页码:5715 / 5727
页数:13
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Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
IIT, Galvin Ctr Elect Innovat, Chicago, IL 60616 USAShanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
Li, Bosong
Wang, Xu
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h-index: 0
机构:
Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
IIT, Galvin Ctr Elect Innovat, Chicago, IL 60616 USAShanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
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Shahidehpour, Mohammad
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h-index: 0
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IIT, Robert W Galvin Ctr Elect Innovat, Chicago, IL 60616 USA
King Abdulaziz Univ, Jeddah 21589, Saudi ArabiaShanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
Shahidehpour, Mohammad
Jiang, Chuanwen
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Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R ChinaShanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
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IIT, Galvin Ctr Elect Innovat, Chicago, IL 60616 USAShanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China