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author:

Peng, W. (Peng, W..) [1] | Shao, Z. (Shao, Z..) [2] (Scholars:邵振国) | Chen, F. (Chen, F..) [3] (Scholars:陈飞雄) | Zhang, S. (Zhang, S..) [4] | Gao, T. (Gao, T..) [5] | Chen, D. (Chen, D..) [6]

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Scopus

Abstract:

The new mode of“wind farm+energy storage”has gradually become the mainstream. Facing the new power system with high proportion of wind storage system connected to grid,a multi-timescale optimal scheduling strategy of wind-storage cluster power system with demand response is proposed. Firstly,in the day-ahead long time scale stage,the user load power is adjusted by price based demand response,and the day-ahead scheduling plan and optimized load curve are obtained with the goal of minimizing the net load power fluctuation and operating cost. Secondly,in the intra-day short time scale stage,the incentive demand response and wind-storage systems are scheduled on the basis of the optimized load power. With the goal of minimizing the total dispatching cost of the power system,the daily scheduling plan of the power system is formulated considering the maximum limit of the active power change of the wind-storage cluster system. Finally,the improved IEEE39-node system is taken as an example to verify the proposed strategy. As the results,the proposed strategy can reduce the curtailment power and grid-connected power fluctuation of wind-storage cluster system. © 2025 Science Press. All rights reserved.

Keyword:

battery energy storage system demand response multi-time scale scheduling wind power fluctuation flattening wind power integration

Community:

  • [ 1 ] [Peng W.]Key Laboratory of Energy Digitalization, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Shao Z.]Key Laboratory of Energy Digitalization, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Chen F.]Key Laboratory of Energy Digitalization, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Zhang S.]State Grid Fujian Electric Power Research Institute, Fuzhou, 350007, China
  • [ 5 ] [Gao T.]State Grid Fujian Electric Power Research Institute, Fuzhou, 350007, China
  • [ 6 ] [Chen D.]State Grid Fujian Electric Power Research Institute, Fuzhou, 350007, China

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Source :

Acta Energiae Solaris Sinica

ISSN: 0254-0096

Year: 2025

Issue: 2

Volume: 46

Page: 282-292

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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