Coupon-Based Demand Response Considering Wind Power Uncertainty: A Strategic Bidding Model for Load Serving Entities

被引:164
作者
Fang, Xin [1 ]
Hu, Qinran [1 ]
Li, Fangxing [1 ]
Wang, Beibei [2 ]
Li, Yang [2 ]
机构
[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
[2] Southeast Univ, Sch Elect Engn, Inst Demand Side Management, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Coupon-based demand response (C-DR); electricity market; load serving entity (LSE); mathematic program with equilibrium constraints (MPEC); mixed-integer linear programming (MILP); strategic bidding; wind power; ELECTRICITY; ALGORITHM; DESIGN; PRICES; MARKET;
D O I
10.1109/TPWRS.2015.2431271
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
With the growing development in demand response, load serving entities (LSEs) may participate in electricity market as strategic bidders by offering coupon-based demand response (C-DR) programs to customers. However, due to customers' versatile electricity consumption patterns under C-DR programs as well as the increasing penetration of wind power generation, obtaining the deterministic bidding decision becomes unprecedented complex for LSEs. To address this challenge, a new strategic bidding model for an LSE is proposed in which the primary objective is to maximize the LSE's profit by providing optimal C-DR considering high wind power penetration. The proposed strategic bidding is a bi-level optimization problem with the LSE's net revenue maximization as the upper level problem and the ISO's economic dispatch (ED) for generation cost minimization as the lower level problem. This bi-level model is converted to a stochastic mathematic program with equilibrium constraints (MPEC) by recasting the lower level problem as its Karush-Kuhn-Tucher (KKT) optimality conditions. Then, the stochastic MPEC is transformed to a mixed-integer linear programming (MILP) problem, which is solvable using available optimization software, based on strong duality theory. In addition, the effectiveness of the proposed method has been verified with simulation studies of two sample systems.
引用
收藏
页码:1025 / 1037
页数:13
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