Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (11A): 240200108-6.doi: 10.11896/jsjkx.240200108

• Interdiscipline & Application • Previous Articles     Next Articles

Research on Microgrid Energy Dispatch Based on Distributed Fixed-timeTime-varyingAlgorithm

YANG Shuai1, DAI Xiangguang2, XU Shuying3, ZHANG Liangliang1   

  1. 1 National Energy Baotou Energy Limited Liability Company,Ordos,Inner Mongolia 017000,China
    2 Key Laboratory of Intelligent Information Processing and Control,Chongqing Three Gorges University,Chongqing 404100,China
    3 College of Electronic and Information Engineering,Southwest University,Chongqing 400700,China
  • Online:2024-11-16 Published:2024-11-13
  • About author:YANG Shuai,born in 1989,assistant engineer.His main research interest is the automation of coal mine power supply systems.
    DAI Xiangguang,born in 1986,Ph.D,associate professor.His main research interests include optimization algorithms,neural networks,clustering and pattern recognition.
  • Supported by:
    Science and Technology Research Project of Chongqing Municipal Education Commission(KJZD-M202201204,KJZD-K202201205),Natural Science Foundation of Chongqing,China(CSTB2023NSCQ-LZX0135) and Science and Technology Innovation Smart Agriculture Project of Science and Technology Department, Wanzhou District of Chongqing(2022-17).

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Abstract: Energy optimization dispatch within microgrid aims to minimize generation costs by formulating the objective of achieving the optimal device generation strategy.This paper establishes a microgrid model based on multiple intelligent agents,fully considering the dynamic nature of the total load in the microgrid as it varies over time.To address the minimization of generation costs while accounting for time-varying loads,a distributed fixed-time time-varying algorithm is further designed.The objective function of the optimization problem is defined as the summation of all local convex objective functions,subject to constraints imposed by equations.The theoretical foundation of this study involves proving the stability and convergence of the algorithm through the construction of a Lyapunov function.This theoretical underpinning ensures the reliability of the algorithm in practical applications.Numerical simulation experiments demonstrate that the proposed algorithm effectively resolves the energy optimization dispatch problem within microgrid.This not only furnishes a potent tool for microgrid management,but also lends robust support to the sustainable development of energy systems.By minimizing generation costs,microgrid can efficiently meet the constantly evolving demands of loads,thereby enhancing the economic efficiency and sustainability of the system.The research provides valuable insights for the intelligent management of microgrids and the design of future energy systems.

Key words: Microgrid, Energy optimization dispatch, Minimizing generation costs, Time-varying loads, Distributed fixed-time time-varying algorithm

CLC Number: 

  • TM734
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