Chance-constrained models for transactive energy management of interconnected microgrid clusters

JOURNAL OF CLEANER PRODUCTION

卷:271

Article

Daneshvar, Mohammadreza¹  Mohammadi-Ivatloo, Behnam^1,2  Asadi, Somayeh³  Anvari-Moghaddam, Amjad^1,4  Rasouli, Mohammad⁵  Abapour, Mehdi¹  Gharehpetian, Gevork B.⁶ 

[1] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran

[2] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam

[3] Penn State Univ, Dept Architectural Engn, State Coll, PA 16801 USA

[4] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark

[5] Behrend Coll, Penn State Erie, Erie, PA 16563 USA

[6] Amirkabir Univ Technol, Dept Elect Engn, Tehran, Iran

关键词: Transactive energy;    Chance-constrained programming;    Microgrid clusters;    Smart grid;    Energy management;    Uncertainty handling;   

DOI  :  10.1016/j.jclepro.2020.122177

来源: Elsevier

【 摘 要 】

Transactive energy as an emerging approach and sustainable technology can provide an exceptional opportunity for microgrids to exchange energy with each other for greater benefits in the cluster mode. In this mode of operation, some collective and individual interests can be realized for the microgrids based on transactive energy management. This paper proposes mathematical models for microgrid clusters using a transactive energy structure to manage energy exchange in the smart grid. In order to make an informed decision for the operation of microgrid clusters, chance-constrained programming is employed to consider the uncertainties in balancing collective and individual interests under the transactive energy management. In this research, sixteen commercial microgrids are considered in the process of evaluating the efficiency of the proposed models using the chance-constrained programming method. Simulation results prove the effectiveness of the transactive energy approach accompanying the implementation of chance-constrained programming in energy management of the microgrid clusters. (C) 2020 Elsevier Ltd. All rights reserved.

【 授权许可】

Free