基于ADWOA算法的风光水互补系统优化调度研究

Research on Optimal Scheduling of Wind-solar-water Complementary System Based on ADWOA Algorithm

为了有效应对大规模风能和光伏并网带来的波动问题,保障电网的安全稳定运行,本研究通过深入分析风力发电、光伏发电、水利发电以及抽水蓄能之间的互补特性,构建了一个综合的互补发电系统。在此基础上,针对系统中存在的多种功率约束,本文提出了两种优化调度模型:一种旨在最小化互补系统的波动,另一种则是最小化火电机组等效负荷波动。为求解这两个优化模型,采用了改进的自适应权重优化算法(adaptive weight optimization algorithm,ADWOA)。通过仿真实验验证了该算法在两种模型中的有效性,结果表明这两种最优调度模型均能有效追踪优化目标,并显著减小由于风力和光伏发电并网引起的影响,从而增强电网的运行稳定性。

In order to effectively address the fluctuations caused by large-scale wind and photovoltaic power integration,and to ensure the safe and stable operation of the power grid,this study constructs a comprehensive complementary power generation system.This is achieved through an in-depth analysis of the complementary characteristics of wind power generation,photovoltaic power generation,hydraulic power generation,and pumped storage.On this basis,two optimal scheduling models are proposed for various power constraints within the system:one aims to minimize the fluctuations of the complementary system;the other seeks to minimize the equivalent load fluctuations of thermal power units.To solve these two optimization models,an improved Adaptive Weight Optimization Algorithm(ADWOA)is utilized.The effectiveness of this algorithm in both models is verified through simulation experiments.The results indicate that the two optimal scheduling models can effectively track the desired optimization targets and significantly reduce the impacts caused by wind and photovoltaic power generation.This enhances the operational stability of the power grid.