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电力系统无功优化与电压控制技术研究

摘  要

电力系统无功优化与电压控制是保障电网安全稳定运行的关键技术,随着新能源大规模接入及负荷特性变化,传统控制方法面临诸多挑战。为此,本文聚焦于构建适应现代电网特征的无功优化与电压控制体系,旨在提高系统运行效率和稳定性。研究基于多目标优化理论,提出了一种融合静态与动态特性的综合评估模型,通过引入智能算法实现对无功补偿设备的最优配置。同时,针对分布式电源接入场景,建立了含高比例新能源的配电网电压控制策略。仿真结果表明,所提方法能够有效降低网损、提升电压合格率,在保证系统经济性的同时兼顾了安全性。该研究为解决复杂电力系统中的无功与电压控制问题提供了新思路,特别是在应对新能源不确定性方面展现了良好的适应性和鲁棒性,为智能电网建设提供了理论支持和技术参考。

关键词:无功优化;电压控制;多目标优化

Abstract

Reactive power optimization and voltage control of the power system are the key technologies to ensure the safe and stable operation of the power grid. With the large-scale access of new energy and the change of load characteristics, the traditional control methods face many challenges. Therefore, this paper focuses on the construction of reactive power optimization and voltage control system adapted to the characteristics of modern power grid, aiming to improve the operation efficiency and stability of the system. Based on the multi-ob jective optimization theory, a comprehensive evaluation model integrating static and dynamic characteristics is proposed to realize the optimal configuration of reactive power compensation equipment by introducing intelligent algorithm. At the same time, a voltage control strategy is established with a high proportion of new energy. The simulation results show that the proposed method can effectively reduce the network loss, improve the voltage pass rate, and ensure the economy of the system. This research provides a new idea for solving the problem of reactive power and voltage control in complex power system, especially showing good adaptability and robustness in dealing with the uncertainty of new energy, and provides theoretical support and technical reference for the construction of smart grid.

Keywords: Reactive power optimization; voltage control; multi-ob jective optimization


目  录
1 引言 1
2 电力系统无功优化基础理论 1
2.1 无功功率基本概念 1
2.2 无功优化数学模型 1
2.3 传统优化方法分析 2
3 电压控制技术原理与应用 2
3.1 电压稳定机制研究 2
3.2 控制设备特性分析 3
3.3 实时电压调控策略 3
4 现代无功优化算法研究 4
4.1 智能优化算法综述 4
4.2 启发式算法应用 4
4.3 算法性能对比分析 5
5 综合优化与工程实践 5
5.1 分布式电源接入影响 5
5.2 多目标优化方案设计 6
5.3 工程案例分析总结 6
6 结论 7
致  谢 8
参考文献 9
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