基于分布式预定时间算法的环境经济调度

The Environmental Economic Dispatch Based on Distributed Predefined-Time Algorithm

摘要: 随着全球能源需求的不断增长和环境问题日益严重，如何在确保电力系统满足供给需求的同时，最大限度地减少环境污染和发电成本，成为电力系统发展中的重要研究课题。本文基于分布式架构，提出了一种预定时间算法，并将其与动态权重相结合，从而实现能源分配。通过该方法，能够将多目标优化问题转化为单目标优化问题，而转化后的单目标优化问题可在预定步长内解决，同时为权重的动态调整提供了时间尺度。实验结果表明，所提出的分布式算法在解决环境经济调度问题时，可以有效降低燃料成本和污染排放，获得整个帕累托前沿。

Abstract: With the continuous growth of global energy demand and the increasing severity of environmental issues, how to ensure that the power system meets supply demands while minimizing environmental pollution and generation cost has become a significant research topic in the development of power systems. This paper proposes a predefined-time algorithm based on distributed architecture and combines it with dynamic weights to achieve energy allocation. Through this method, the multi-objective optimization problem can be transformed into a single-objective optimization problem, which can be solved within a predetermined step size, and provide a timescale for the dynamic adjustment of weights. The experimental results show that the proposed distributed algorithm can effectively reduce fuel costs and pollution emissions when solving the environmental economic dispatch problem, and achieving the entire Pareto front.