A Multiple Time Scales Rolling Coordinative Dispatching Method for an Island Microgrid with High Proportion Tidal Current Energy Access and Demand Response Resources

Yani Ouyang, Wei Zhao (), Haifeng Wang and Wenyong Wang
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Yani Ouyang: Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
Wei Zhao: Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
Haifeng Wang: Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
Wenyong Wang: Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China

Energies, 2022, vol. 15, issue 19, 1-16

Abstract: Currently, the ocean energy strategy is rapidly developing, and a high proportionate tidal current energy grid connection presents significant obstacles to the planning and secure and stable operation of an island microgrid. For an island microgrid with high proportion tidal current energy access and demand response resources, this research suggests a multiple time scales rolling coordinative dispatching method. An MPPT control based on Q-Learning algorithm is first developed for real-time maximum power tracking of tidal current energy generation after the island microgrid’s topology has been examined. Following that, a multiple time scales rolling coordinative dispatching’s fundamental architecture and implementation method are provided, with equal time intervals coordinated in a step-by-step recursive way. In the example analysis of an island microgrid, we consider the rigid demand load that does not participate in the demand side response, and the ship load and controllable load that participate in the demand side response. On sea islands, ship loads on the long timeframe achieve traffic and energy interaction, and dispatchable loads on the short timescale participate in supply and demand balancing. This is due to the multiple time scales properties of demand response resources. In addition, a multiple time scales rolling coordinative dispatching model for an island microgrid is developed. It includes day-ahead, intraday, and real-time components. Finally, example analysis is used to confirm the dispatching method’s usefulness and advancement, and we conclude that the tidal current energy consumption rate of the island microgrid is increased by 17.08%.

Keywords: island microgrid; tidal current energy; multiple time scales; demand response; coordinative dispatching; rolling optimization; Q-Learning (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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