Stochastic Bi-level Trading Model for an Active Distribution Company with DGs and Interruptible Loads

被引:21
作者
Cai, Yu [1 ]
Lin, Jin [1 ]
Wan, Can [1 ,2 ]
Song, Yonghua [1 ,2 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Control & Simulat Power Syst & Gene, Beijing 100084, Peoples R China
[2] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
DISTRIBUTION NETWORKS; GENERATION; DEMAND;
D O I
10.1049/iet-rpg.2016.0364
中图分类号
X [环境科学、安全科学];
学科分类号
083001 [环境科学];
摘要
With the rapid development of distributed generations (DGs) and interruptible loads (ILs), distribution network company can actively purchase electricity in market instead of playing as a traditional passive purchaser. This study proposes a stochastic bi-level model-based strategic trading model for an active distribution company (ADisCo) which operates the active distribution network (ADN) to maximise its profit in electricity market. Uncertainties pertaining to bidding and offering prices of other market rivals', the imbalance prices in the balance market and the productions of DGs are considered via stochastic programming. Besides, a linear ADN operation model is proposed to ensure ADN operation security within the stochastic programming model. The proposed model is initially formulated as a stochastic bi-level model, where the upper-level problem represents the maximisation of the profit of ADN operator, whereas the lower-level model represents the maximisation of the social welfare in clearing of market from the perspective of independent system operator. On the basis of the complementarity theory, the proposed model can be transformed into a mixed integer linear programming model. Case studies demonstrate the efficiency and effectiveness of the proposed strategic trading model for an ADisCo with DGs and ILs.
引用
收藏
页码:277 / 287
页数:11
相关论文
共 28 条
[1]
[Anonymous], 2009, Microgrids and Active Distribution Networks
[2]
[Anonymous], 2012, Complementarity Modeling in Energy Markets
[3]
A Bilevel Stochastic Programming Approach for Retailer Futures Market Trading [J].
Carrion, Miguel ;
Arroyo, Jose M. ;
Conejo, Antonio J. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (03) :1446-1456
[4]
Conejo AJ, 2010, INT SER OPER RES MAN, V153, P1, DOI 10.1007/978-1-4419-7421-1
[5]
D'Adamo C., 2009, CIRED 2009 20 INT C, P1
[6]
Strategic Demand-Side Response to Wind Power Integration [J].
Daraeepour, Ali ;
Kazempour, S. Jalal ;
Patino-Echeverri, Dalia ;
Conejo, Antonio J. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (05) :3495-3505
[7]
Ding C., 2004, P 21 INT C MACH LEAR, P29, DOI DOI 10.1145/1015330.1015408
[8]
Demand response in electrical energy supply: An optimal real time pricing approach [J].
Faria, P. ;
Vale, Z. .
ENERGY, 2011, 36 (08) :5374-5384
[9]
A Flexible Mixed-Integer Linear Programming Approach to the AC Optimal Power Flow in Distribution Systems [J].
Ferreira, Rafael S. ;
Borges, Carmen L. T. ;
Pereira, Mario V. F. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (05) :2447-2459
[10]
Optimal Demand-Side Bidding Strategies in Electricity Spot Markets [J].
Herranz, Rocio ;
Munoz San Roque, Antonio ;
Villar, Jose ;
Alberto Campos, Fco. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (03) :1204-1213