Integrating demand response market into energy/reserve market: A bilevel approach

被引:0
作者
Saebi, Javad [1 ]
Javidi, Mohammad Hossein [1 ]
Duy Thanh Nguyen [2 ,3 ]
机构
[1] Ferdowsi Univ Mashhad, Dept Elect Engn, Mashhad, Iran
[2] Univ Tasmania, Sch Engn, Hobart, Australia
[3] Univ Tasmania, ICT, Hobart, Australia
来源
2014 SMART GRID CONFERENCE (SGC) | 2014年
关键词
Demand response market; reserve markets; bilevel programming; mixed-integer linear programming; STOCHASTIC SECURITY; UNCERTAINTY; ENERGY; JOINT;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The concept of demand response (DR) market, which recently introduced, is a comprehensive approach to schedule DR. DR market is a separate market in which DR is treated as a virtual resource to be exchanged between DR buyers and sellers. The major advantage of the DR market in comparison to other DR proposals is that it allocates benefits and payments across all participants, fairly. However, there are still obstacles to its integration into the existing power markets. This paper tries to address technical and economical issues towards integrating DR market into energy/reserve markets. For this purpose, a bilevel approach is proposed for clearing joint energy/reserve and DR markets whose upper-level problem determines system requirements for reserve using N-1 contingency criteria, and whose lower-level problem clears the DR market. The resulting nonlinear bilevel programming problem is translated into an equivalent single-level mixed-integer linear programming problem by replacing the lower-level problem by its Karush-Kuhn-Tucker optimality conditions and converting a number of nonlinearities to linear equivalents using some well-known techniques. Finally, a simple case study is used to verify the efficiency of the proposed approach.
引用
收藏
页数:7
相关论文
共 29 条
[1]  
[Anonymous], POW EN SOC GEN M
[2]   Optimal response of a power generator to energy, AGC, and reserve pool-based markets [J].
Arroyo, JM ;
Conejo, AJ .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2002, 17 (02) :404-410
[3]   Probabilistic reserve schedule with demand-side participation [J].
Bai, J. ;
Gooi, H. B. ;
Xia, L. M. .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2008, 36 (02) :138-151
[4]  
Bazaraa M.S., 1990, LINEAR PROGRAMMING N, DOI DOI 10.1002/0471787779
[5]   Market-clearing with stochastic security - Part II: Case studies [J].
Bouffard, F ;
Galiana, FD ;
Conejo, AJ .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) :1827-1835
[6]   Market-clearing with stochastic security - Part I: Formulation [J].
Bouffard, F ;
Galiana, FD ;
Conejo, AJ .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) :1818-1826
[7]  
CHEN J, 1995, IEEE T POWER SYST, V10, P1994
[8]   Walrasian Market Clearing for Demand Response Exchange [J].
Duy Thanh Nguyen ;
Negnevitsky, Michael ;
de Groot, Martin .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (01) :535-544
[9]   Pool-Based Demand Response Exchange-Concept and Modeling [J].
Duy Thanh Nguyen ;
Negnevitsky, Michael ;
de Groot, Martin .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (03) :1677-1685
[10]   The role of demand response in single and multi-objective wind-thermal generation scheduling: A stochastic programming [J].
Falsafi, Hananeh ;
Zakariazadeh, Alireza ;
Jadid, Shahram .
ENERGY, 2014, 64 :853-867