Frontiers in Energy Research (Oct 2021)

Robust Optimal Dispatching of Wind Fire Energy Storage System Based on Equilibrium Optimization Algorithm

  • Xiaojiao Chen,
  • Liansheng Huang,
  • Liansheng Huang,
  • Xiuqing Zhang,
  • Shiying He,
  • Zhicai Sheng,
  • Zhenshang Wang,
  • Zhenshang Wang,
  • Tao Chen,
  • Tao Chen,
  • Sheng Dou,
  • Sheng Dou

DOI
https://doi.org/10.3389/fenrg.2021.754908
Journal volume & issue
Vol. 9

Abstract

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The uncertainty of wind resources is one of the main reasons for wind abandonment. Considering the uncertainty of wind power prediction, a robust optimal dispatching model is proposed for the wind fire energy storage system with advanced adiabatic compressed air energy storage (AA-CAES) technology. Herein, the operation constraints of the power plant and constraints of the reserved capacity are defined according to the operation characteristics of AA-CAES. Based on the limited scenario method, a solution framework is proposed to achieve the optimal robustness and economical operation of the system, which provides a new way for the application of the intelligent algorithm in the robust optimal dispatching. Specifically, a novel equilibrium optimization algorithm is employed to solve the optimal dispatching problem, which has good global search performance. The proposed solution is validated through simulations based on the IEEE-39 node system. The simulation results verify the effectiveness of the proposed dispatching model and the intelligent solver.

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