Optimal Bidding of a Group of Wind Farms in Day-Ahead Markets Through an External Agent

被引:48
作者
Guerrero-Mestre, Victoria [1 ]
de la Nieta, Agustin A. Sanchez [2 ,3 ,4 ]
Contreras, Javier [1 ]
Catalao, Joao P. S. [2 ,3 ,4 ]
机构
[1] Univ Castilla La Mancha, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, Spain
[2] Univ Porto, Fac Engn, Rua Campo Alegre 823, P-4100 Porto, Portugal
[3] Univ Beira Interior, Covilha, Portugal
[4] Univ Lisbon, Inst Super Tecn, INESC ID, P-1699 Lisbon, Portugal
关键词
Conditional Value at Risk (CVaR); day-ahead market; energy trading; external agent; imbalances; stochastic mixed integer linear programming; wind power; SHORT-TERM ENERGY; POWER PRODUCER; GENERATION; STRATEGIES; OPTIMIZATION; STORAGE;
D O I
10.1109/TPWRS.2015.2477466
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In deregulated electricity markets, producers offer their energy to the day-ahead market. As the subsidies for renewable producers are becoming lower and lower, they have to adapt to market prices. This paper models the energy trading in the day-ahead market for wind power producers. Different strategies are proposed for this purpose: 1) several wind farms offering their energy separately to the day-ahead market; 2) the same strategy as in 1) but compensating the imbalance among different wind farms; and 3) a joint offer involving several wind farms through an external agent in order to minimize the imbalances between the offer and the final power generation. The strategies are modeled with stochastic mixed integer linear programming and Conditional Value at Risk is used to consider the risk assessment. The expected profit including risk aversion is maximized for each wind power producer and for the set of wind power producers in the case of a joint offer. A comparison of the different cases is described in detail in a case study and relevant conclusions are provided.
引用
收藏
页码:2688 / 2700
页数:13
相关论文
共 30 条
[1]   Evaluating risk-constrained bidding strategies in adjustment spot markets for wind power producers [J].
Angeles Moreno, M. ;
Bueno, Miriam ;
Usaola, Julio .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 43 (01) :703-711
[2]  
[Anonymous], GLOB WIND 2013 REP
[3]  
[Anonymous], OPTIMISATION COGENER
[4]  
[Anonymous], 2012, HDB NETWORKS POWER S
[5]  
Asociacion Empresarial Eolica, 2006, EJ PRED
[6]   Coalitional Aggregation of Wind Power [J].
Baeyens, Enrique ;
Bitar, Eilyan Y. ;
Khargonekar, Pramod P. ;
Poolla, Kameshwar .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (04) :3774-3784
[7]   Value of combining energy storage and wind in short-term energy and balancing markets [J].
Bathurst, GN ;
Strbac, G .
ELECTRIC POWER SYSTEMS RESEARCH, 2003, 67 (01) :1-8
[8]   Trading wind generation in short term energy markets [J].
Bathurst, GN ;
Weatherill, J ;
Strbac, G .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2002, 17 (03) :782-789
[9]  
Box G.E.P., 2013, TIME SERIES ANAL FOR, V4nd, DOI DOI 10.1002/9781118619193
[10]  
Brooke A., 2003, GAMS CPLEX USERS GUI