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A Fire-Storage Joint Planning Method to Deal with the Uncertainty of Renewable Energy Sources
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  • xiuyu yang,
  • Cheng Yang,
  • Gangui Yan,
  • Hongda Dong,
  • Chenggang Li
xiuyu yang
Northeast Electric Power University

Corresponding Author:yangxiuyu2011@163.com

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Cheng Yang
Northeast Electric Power University
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Gangui Yan
Northeast Electric Power University
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Hongda Dong
Electric Power Research Institute, State Grid Jilin Electric Power Company Limited
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Chenggang Li
Electric Power Research Institute, State Grid Jilin Electric Power Company Limited
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Abstract

The grid connection of renewable energy leads to the increase of uncertainty in daily operation scenarios. The traditional deterministic daily start-up planning method is difficult to adapt, which is easy to cause problems such as poor economy and high abandonment rate of planning schemes. Therefore, this paper proposes a fire-storage joint planning method to deal with the uncertainty of renewable energy. Firstly, the operation effect of daily start-up plan in uncertain renewable energy scenarios is analyzed, and the impact of different start-up plans on supply and demand balance and economy in uncertain scenarios is quantitatively analyzed. Then, by evaluating the flexibility of a typical day with a variety of renewable energy output, a method for determining the daily start-up plan based on the entropy weight method is proposed. The effect of the daily start-up plan on dealing with multiple uncertain scenarios is scored by each flexibility index, so as to obtain a better start-up plan to deal with uncertainty. Finally, based on the daily start-up plan formulation method based on entropy weight method, a fire-storage joint planning model with the minimum expected cost of each scenario is constructed to realize the joint planning of thermal power and energy storage.
08 Nov 2024Submitted to IET Generation, Transmission & Distribution
13 Nov 2024Submission Checks Completed
13 Nov 2024Assigned to Editor
13 Nov 2024Review(s) Completed, Editorial Evaluation Pending
09 Dec 2024Reviewer(s) Assigned