Trading strategies for distribution company with stochastic distributed energy resources

被引:43
作者
Zhang, Chunyu [1 ]
Wang, Qi [2 ]
Wang, Jianhui [3 ]
Korpas, Magnus [1 ]
Pinson, Pierre [2 ]
Ostergaard, Jacob [2 ]
Khodayar, Mohammad E. [4 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Elect Power Engn, Trondheim, Norway
[2] Tech Univ Denmark, Ctr Elect Power & Energy, Lyngby, Denmark
[3] Argonne Natl Lab, Energy Syst Div, Argonne, IL USA
[4] So Methodist Univ, Dept Elect Engn, Dallas, TX USA
关键词
Distributed energy resources (DERs); Proactive distribution company (PDISCO); Electricity markets; Bilevel game-theoretic model; Multi-period AC power flow; Mathematical program with equilibrium constraints (MPEC); Mathematical program with primal and dual constraints (MPPDC); DISTRIBUTION-SYSTEM; GENERATION; OPERATION; MODEL; MICROGRIDS; DEVICES; MARKET; WIND;
D O I
10.1016/j.apenergy.2016.05.143
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
This paper proposes a methodology to address the trading strategies of a proactive distribution company (PDISCO) engaged in the transmission-level (TL) markets. A one-leader multi-follower bilevel model is presented to formulate the gaming framework between the PDISCO and markets. The lower-level (LL) problems include the TL day-ahead market and scenario-based real-time markets, respectively with the objectives of maximizing social welfare and minimizing operation cost. The upper-level (UL) problem is to maximize the PDISCO's profit across these markets. The PDISCO's strategic offers/bids interactively influence the outcomes of each market. Since the LL problems are linear and convex, while the UL problem is non-linear and non-convex, an equivalent primal-dual approach is used to reformulate this bilevel model to a solvable mathematical program with equilibrium constraints (MPEC). The effectiveness of the proposed model is verified by case studies. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:625 / 635
页数:11
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