Reliability Based Min-Max Regret Stochastic Optimization Model for Capacity Market With Renewable Energy and Practice in China

被引:32
作者
Lu, Runzhao [1 ]
Ding, Tao [1 ]
Qin, Boyu [1 ]
Ma, Jin [2 ]
Bo, Rui [3 ]
Dong, Zhaoyang [4 ]
机构
[1] Xi An Jiao Tong Univ, Dept Elect Engn, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Shaanxi, Peoples R China
[2] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
[3] Missouri Univ Sci & Technol, Dept Elect Engn, Rolla, MO 65401 USA
[4] Univ New South Wales, Sch Elect Engn & Telecommun, Kensington, NSW 2033, Australia
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Capacity market; reliability evaluation; renewable energy; min-max regret; stochastic programming; ROBUST OPTIMIZATION; BIDDING STRATEGY; TRANSMISSION; SYSTEM; TERM;
D O I
10.1109/TSTE.2018.2878224
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Capacity market is a long-term clearing model to coordinate the traditional thermal generation and the renewable energy generation, which minimizes the total capacity cost of traditional generation, while satisfying the operational constraints and reliability requirement. Furthermore, to address the uncertainties in the long-term optimal decision, min-max regret is employed to find the optimal solution under the worst regret, generating several representable scenarios that can help generation companies to understand how these scenarios would impact on the future generation planning. Finally, a decomposition method is proposed to solve this reliability based min-max regret stochastic optimization model by bisection. The test results on one regional grid in China show the effectiveness of the proposed model.
引用
收藏
页码:2065 / 2074
页数:10
相关论文
共 22 条
[1]  
Abani A. O., 2016, 2016 13 INT C EUR EN, P1, DOI [10.1109/EEM.2016.7521264, DOI 10.1109/EEM.2016.7521264]
[2]  
[Anonymous], 2017, 2017 IEEE IND APPL S
[3]   Robust Optimization for Hydroelectric System Operation Under Uncertainty [J].
Apostolopoulou, Dimitra ;
De Greve, Zacharie ;
McCulloch, Malcolm .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (03) :3337-3348
[4]   Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem [J].
Bertsimas, Dimitris ;
Litvinov, Eugene ;
Sun, Xu Andy ;
Zhao, Jinye ;
Zheng, Tongxin .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (01) :52-63
[5]  
Bhavaraju M.P., 2012, P IEEE POW EN SOC GE, P1
[6]  
Billiton R., 1996, RELIABILITY EVALUATI, P182
[7]  
Chao H., 2009, 2009 IEEE POWER ENER, P1, DOI DOI 10.1109/PES.2009.5275173
[8]   Robust Optimization for Transmission Expansion Planning: Minimax Cost vs. Minimax Regret [J].
Chen, Bokan ;
Wang, Jianhui ;
Wang, Lizhi ;
He, Yanyi ;
Wang, Zhaoyu .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (06) :3069-3077
[9]   Robust Transmission and Energy Storage Expansion Planning in Wind Farm-Integrated Power Systems Considering Transmission Switching [J].
Dehghan, Shahab ;
Amjady, Nima .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2016, 7 (02) :765-774
[10]   Multi-Stage Stochastic Programming With Nonanticipativity Constraints for Expansion of Combined Power and Natural Gas Systems [J].
Ding, Tao ;
Hu, Yuan ;
Bie, Zhaohong .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (01) :317-328