LAPSE:2020.1012
Published Article
LAPSE:2020.1012
Optimal Scheduling of Island Microgrid with Seawater-Pumped Storage Station and Renewable Energy
Ning Liang, Pengcheng Li, Zhijian Liu, Qi Song, Linlin Luo
September 23, 2020
The rapid development of renewable energy, represented by wind and photovoltaic, provides a new solution for island power supplies. However, due to the intermittent and random nature of renewable energy, a microgrid needs energy-storage components to stabilize its power supply when coupled with them. The emergence of seawater-pumped storage stations provides a new method to offset the shortage of island power supply. In this study, an optimal scheduling of island microgrid is proposed, which uses seawater-pumped storage station as the energy storage equipment to cooperate with wind, photovoltaic and diesel generator. First, a mathematic formulation of seawater-pumped storage station with renewable energy is presented. Then, to reach the goal of economic dispatch, an optimal scheduling model of island microgrid is established with the consideration of both respective operation constraints and island load requirements. Finally, the effectiveness of the proposed model is verified by an island microgrid over two typical seasons. The simulation results show that the proposed framework not only increases the usage of renewable energy, but also improves the operational reliability and economy of island microgrids.
Keywords
island microgrid, optimal scheduling, renewable energy resources, seawater-pumped storage station
Suggested Citation
Liang N, Li P, Liu Z, Song Q, Luo L. Optimal Scheduling of Island Microgrid with Seawater-Pumped Storage Station and Renewable Energy. (2020). LAPSE:2020.1012
Author Affiliations
Liang N: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Li P: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China [ORCID]
Liu Z: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Song Q: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Luo L: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Journal Name
Processes
Volume
8
Issue
6
Article Number
E737
Year
2020
Publication Date
2020-06-24
Published Version
ISSN
2227-9717
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PII: pr8060737, Publication Type: Journal Article
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LAPSE:2020.1012
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doi:10.3390/pr8060737
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Sep 23, 2020
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Sep 23, 2020
 
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Calvin Tsay
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