Journal article
Stochastic bi-level coordination of active distribution network and renewable-based microgrid considering eco-friendly Compressed Air Energy Storage system and Intelligent Parking Lot
Journal of Cleaner Production, Vol.278, Art. 122808
2021
Abstract
The optimal operation of active distribution systems in the presence of private renewable-based entities is one of the primary challenges of future power networks. In this regard, developing a practical framework to deal with this kind of issue is essential. Hence, in this paper, a novel bi-level stochastic programming approach is presented for optimal energy and reserve scheduling of the active distribution system in the presence of different eco-efficient autonomous players. In the proposed model, the distribution system operator, as a leader, attempts to minimize its total operating costs. At the same time, the renewable-based microgrid owner, as an independent follower, tends to maximize its profit from exchanging energy and reserve with the distribution system operator. The suggested scheme is a non-linear bi-level problem which is transformed into a non-linear single-level problem through Karush–Kuhn–Tucker conditions. In order to find the global optima, the non-linear single-level problem is linearized by utilizing the Big-M method. Finally, to investigate the effectiveness of the provided model, it is tested on the modified IEEE 15-Bus active distribution system under different cases and scenarios. Obtained results indicate that the operation cost of the distribution system operator can be reduced up to 134.09$, from 10710.11$ to 10576.02$, and the profit of the microgrid owner can be increased significantly 906.93$, from 659.455$ to 1566.39$, by considering both environmentally friendly units, IPL and CAES.
Details
- Title
- Stochastic bi-level coordination of active distribution network and renewable-based microgrid considering eco-friendly Compressed Air Energy Storage system and Intelligent Parking Lot
- Authors/Creators
- S. Haghifam (Author/Creator) - University of TabrizA. Najafi-Ghalelou (Author/Creator) - University of TabrizK. Zare (Author/Creator) - University of TabrizM. Shafie-khah (Author/Creator)A. Arefi (Author/Creator) - Murdoch University
- Publication Details
- Journal of Cleaner Production, Vol.278, Art. 122808
- Publisher
- Elsevier Limited
- Identifiers
- 991005543353207891
- Copyright
- © 2020 Elsevier Ltd.
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.204 Smart Grid Optimization
- Web Of Science research areas
- Engineering, Environmental
- Environmental Sciences
- Green & Sustainable Science & Technology
- ESI research areas
- Engineering