Optimal contracts of energy mix in a retail market under asymmetric information

被引:11
|
作者
Chen, Yue [1 ]
Wei, Wei [1 ]
Liu, Feng [1 ]
Shafie-khah, Miadreza [2 ]
Mei, Shengwei [1 ]
Catalao, Joao P. S. [2 ,3 ,4 ,5 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
[2] Univ Beira Interior, C MAST, P-6201001 Covilha, Portugal
[3] Univ Porto, INESC TEC, P-4200465 Porto, Portugal
[4] Univ Porto, Fac Engn, P-4200465 Porto, Portugal
[5] Univ Lisbon, Inst Super Tecn, INESC ID, P-1049001 Lisbon, Portugal
基金
中国国家自然科学基金;
关键词
Asymmetric information game; Energy mix; Package contract; Retail market; ADVERSE SELECTION; DEMAND RESPONSE; BILEVEL MODEL; COMBINED HEAT; OPERATION; HUB; PARTICIPATION; ALGORITHM; SYSTEMS; POLICY;
D O I
10.1016/j.energy.2018.09.139
中图分类号
O414.1 [热力学];
学科分类号
摘要
Co-generation plants have become mainstream energy production facilities at the demand side owing to their high efficiency and flexibility in operation. During the transition to more integrated energy supply, trading of energy mix will become an important issue, where a retailer is expected to play a more active role. This paper discusses the design of retailer's optimal contract with asymmetric information. Bilateral relationship between retailer and consumers can be described as an information game and is characterized by package contracts based on publicly observable information only. First, a mathematical model for the optimal contract design problem involving two coupled energy markets is established. Then, an equivalent reduced model is obtained by several certified lemmas and theorems. Consumer behaviors behind each reduction step are revealed. Thereafter, the market equilibrium is characterized with a proof of existence, revealing the impact of asymmetric information on the retailer's strategy. An illustrative example with locational marginal price based heat-power market is presented. Case studies confirm the theoretical analysis and show that our model can promote retailer's profit. The impact of several factors, such as the probability and reservation utility level, has been tested, providing fundamental insights into strategic behavior in multi-energy market under asymmetric information. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:634 / 650
页数:17
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