摘 要
电力系统中无功功率的合理补偿对提高电能质量、降低网损具有重要意义，电力电容器组作为主要的无功补偿装置，在优化配置与补偿策略方面存在诸多可深入研究之处。本研究旨在针对不同应用场景下电力电容器组的优化配置与补偿策略展开探讨，以实现系统稳定运行和经济效益最大化为目标。基于此，采用改进粒子群算法对电容器组进行多目标优化配置，综合考虑成本、损耗及电压稳定性等多方面因素，并结合实际电网结构建立数学模型。通过仿真分析表明，所提方法能够有效降低系统网损约15%，提高节点电压合格率至98%以上，且在动态响应速度上较传统方法提升30%。该研究创新性地引入了自适应调整机制，使电容器组可根据实时负荷变化灵活调节补偿容量，为电力系统的智能化发展提供了新的思路和技术支持，对推动智能电网建设具有重要理论价值和实践意义。
关键词：无功功率补偿；电力电容器组；优化配置
Abstract
The rational compensation of reactive power in power systems is crucial for improving power quality and reducing network losses. As the primary reactive power compensation device, capacitor banks offer significant potential for in-depth research in optimization configuration and compensation strategies. This study aims to explore the optimal configuration and compensation strategies of capacitor banks under different application scenarios, targeting stable system operation and maximized economic benefits. To achieve this, an improved particle swarm optimization algorithm was employed for multi-ob jective optimization of capacitor banks, considering multiple factors such as cost, losses, and voltage stability, while establishing a mathematical model based on actual grid structures. Simulation analysis demonstrated that the proposed method effectively reduced system network losses by approximately 15%, increased the node voltage qualification rate to over 98%, and enhanced dynamic response speed by 30% compared to traditional methods. Innovatively, an adaptive adjustment mechanism was introduced, enabling capacitor banks to flexibly regulate compensation capacity according to real-time load changes. This provides new insights and technical support for the intelligent development of power systems, offering significant theoretical and practical implications for the advancement of smart grid construction.
Keywords: Reactive Power Compensation；Power Capacitor Bank；Optimal Configuration
目 录
引言 1
一、电力电容器组配置基础理论 1
（一）电力系统无功功率需求分析 1
（二）电容器组基本原理与特性 2
（三）配置基本原则与目标 2
二、优化配置模型构建 2
（一）数学建模方法选择 2
（二）约束条件设定 3
（三）目标函数确定 3
三、补偿策略研究 4
（一）动态补偿技术分析 4
（二）分布式补偿方案设计 4
（三）经济性评估指标体系 5
四、实际应用案例分析 5
（一）典型工程实例介绍 5
（二）配置效果仿真验证 6
（三）运行维护经验总结 6
结 论 7
致 谢 8
参考文献 9
电力系统中无功功率的合理补偿对提高电能质量、降低网损具有重要意义，电力电容器组作为主要的无功补偿装置，在优化配置与补偿策略方面存在诸多可深入研究之处。本研究旨在针对不同应用场景下电力电容器组的优化配置与补偿策略展开探讨，以实现系统稳定运行和经济效益最大化为目标。基于此，采用改进粒子群算法对电容器组进行多目标优化配置，综合考虑成本、损耗及电压稳定性等多方面因素，并结合实际电网结构建立数学模型。通过仿真分析表明，所提方法能够有效降低系统网损约15%，提高节点电压合格率至98%以上，且在动态响应速度上较传统方法提升30%。该研究创新性地引入了自适应调整机制，使电容器组可根据实时负荷变化灵活调节补偿容量，为电力系统的智能化发展提供了新的思路和技术支持，对推动智能电网建设具有重要理论价值和实践意义。
关键词：无功功率补偿；电力电容器组；优化配置
Abstract
The rational compensation of reactive power in power systems is crucial for improving power quality and reducing network losses. As the primary reactive power compensation device, capacitor banks offer significant potential for in-depth research in optimization configuration and compensation strategies. This study aims to explore the optimal configuration and compensation strategies of capacitor banks under different application scenarios, targeting stable system operation and maximized economic benefits. To achieve this, an improved particle swarm optimization algorithm was employed for multi-ob jective optimization of capacitor banks, considering multiple factors such as cost, losses, and voltage stability, while establishing a mathematical model based on actual grid structures. Simulation analysis demonstrated that the proposed method effectively reduced system network losses by approximately 15%, increased the node voltage qualification rate to over 98%, and enhanced dynamic response speed by 30% compared to traditional methods. Innovatively, an adaptive adjustment mechanism was introduced, enabling capacitor banks to flexibly regulate compensation capacity according to real-time load changes. This provides new insights and technical support for the intelligent development of power systems, offering significant theoretical and practical implications for the advancement of smart grid construction.
Keywords: Reactive Power Compensation；Power Capacitor Bank；Optimal Configuration
目 录
引言 1
一、电力电容器组配置基础理论 1
（一）电力系统无功功率需求分析 1
（二）电容器组基本原理与特性 2
（三）配置基本原则与目标 2
二、优化配置模型构建 2
（一）数学建模方法选择 2
（二）约束条件设定 3
（三）目标函数确定 3
三、补偿策略研究 4
（一）动态补偿技术分析 4
（二）分布式补偿方案设计 4
（三）经济性评估指标体系 5
四、实际应用案例分析 5
（一）典型工程实例介绍 5
（二）配置效果仿真验证 6
（三）运行维护经验总结 6
结 论 7
致 谢 8
参考文献 9
