Two-Stage Coordinate Optimal Scheduling of Seawater Pumped Storage in Active Distribution Networks

Ning Liang, Changhong Deng, Yahong Chen, Weiwei Yao, Dinglin Li, Man Chen and Peng Peng
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Ning Liang: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Changhong Deng: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Yahong Chen: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Weiwei Yao: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Dinglin Li: Power Generation Company of China Southern Power Grid, Guangzhou 510630, China
Man Chen: Power Generation Company of China Southern Power Grid, Guangzhou 510630, China
Peng Peng: Power Generation Company of China Southern Power Grid, Guangzhou 510630, China

Sustainability, 2018, vol. 10, issue 6, 1-15

Abstract: The percentage of penetration in renewable energy generation (REG) in distribution networks has dramatically increased. Variable speed seawater pumped storage, which has a large power controllable range and flexible modes of operation, is an important tool to be applied in distribution networks to realize peak shaving and valley filling, and to mitigate the negative effects of REG. This paper presents a two-stage coordinated optimal scheduling model for the day-ahead and real-time operation of active distribution networks containing seawater pumped storage, REG, and flexible loads. In the model, seawater pumped storage and flexible loads are dispatched in the first day-ahead stage based on short-term forecast information of REG and load demands to minimize total operational costs. Then in the second real-time stage, the operation schedule of seawater pumped storage is adjusted to mitigate the negative effects of forecast errors of REG on the operation of active distribution networks. Network nodes power quality is improved and power loss is reduced. Applying the model, disadvantages of low accuracy short-term forecast are minimized whereas advantages of high accuracy ultra-short term forecast are fully taken. This model is tested using a modified Institute of Electrical and Electronics Engineers 33-bus system. Numerical results demonstrate the effectiveness of the proposed approach.

Keywords: seawater pumped storage; renewable energy; active distribution networks; two-stage; scheduling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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