关键词: 微电网, 能源优化调度, 最低发电成本, 时变负荷, 分布式固定时间时变算法

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