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作 者:孙杨 Yang Sun(CNOOC(China)Limited Shenzhen Branch,Shenzhen,Guangdong 518000,China)
机构地区:[1]中海石油(中国)有限公司深圳分公司,广东深圳518000
出 处:《产业科技创新》2024年第6期97-101,共5页Industrial Technology Innovation
摘 要:随着光伏和风电等新能源技术的广泛应用,电力系统的谐波问题日益严峻。本文系统分析了谐波的产生机理及其对电力系统的负面影响,深入探讨了谐波的叠加和放大效应,并重点评估了现有谐波治理技术的优缺点。为应对复杂多变的谐波问题,提出了结合传统与现代谐波治理方法的优化策略。本文还基于大数据分析和智能算法,构建了谐波治理与电能质量改善的优化模型,并通过改进遗传算法和粒子群优化算法,制定了最优的谐波抑制方案。研究结果表明,合理配置和动态调整治理设备可以显著提升电能质量,确保电网的安全、稳定运行。With the widespread application of renewable energy technologies such as photovoltaics and wind power,the harmonic issues in power systems have become increasingly severe.This paper systematically analyzes the generation mechanisms of harmonics and their negative impacts on power systems,delving into the superposition and amplification effects of harmonics,while also assessing the advantages and disadvantages of existing harmonic control technologies.To address the complex and variable harmonic problems,an optimization strategy that combines traditional and modern harmonic control methods is proposed.Furthermore,based on big data analysis and intelligent algorithms,an optimization model for harmonic control and power quality improvement is constructed,and optimal harmonic suppression schemes are developed through improved genetic algorithms and particle swarm optimization algorithms.The research results indicate that reasonable configuration and dynamic adjustment of control devices can significantly enhance power quality and ensure the safe and stable operation of the power grid.
分 类 号:TM727[电气工程—电力系统及自动化]
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