摘 要
电力系统稳定控制是确保电网安全可靠运行的关键技术，随着可再生能源接入比例的增加和电力市场改革的推进，传统基于确定性模型的控制方法难以适应日益复杂的运行环境。为此，本文提出一种基于模糊逻辑的电力系统稳定控制策略，旨在通过引入模糊逻辑处理不确定性和非线性问题，提高系统的鲁棒性和自适应能力。该方法首先构建了适用于电力系统的模糊推理模型，定义了输入输出变量及其隶属度函数，采用多规则库实现对不同工况的有效覆盖。通过对实际电网数据进行仿真分析，结果表明所提方法能够有效抑制低频振荡，改善暂态稳定性，在多种故障场景下均表现出良好的动态性能。与传统PSS（电力系统稳定器）相比，该策略无需精确数学建模，降低了参数整定难度，增强了对复杂工况的适应性。此外，该方法还具有较强的扩展性，可方便地与其他控制手段集成，为未来智能电网的发展提供了新的思路和技术支持。研究表明，基于模糊逻辑的控制策略不仅提高了电力系统的稳定性，也为解决新能源接入带来的挑战提供了有效途径，具有重要的理论意义和实用价值。
关键词：电力系统稳定控制 模糊逻辑 低频振荡抑制
Abstract
Power system stability control is a critical technology for ensuring the safe and reliable operation of power grids. With the increasing proportion of renewable energy integration and the advancement of power market reforms, traditional control methods based on deterministic models struggle to adapt to the increasingly complex operating environment. To address this challenge, this paper proposes a power system stability control strategy based on fuzzy logic, aiming to enhance system robustness and adaptability by introducing fuzzy logic to handle uncertainties and nonlinearities. The method first constructs a fuzzy inference model suitable for power systems, defining input and output variables along with their membership functions, and employs multiple rule bases to effectively cover different operating conditions. Simulation analysis using actual power grid data demonstrates that the proposed method can effectively suppress low-frequency oscillations and improve transient stability, exhibiting good dynamic performance across various fault scenarios. Compared with traditional Power System Stabilizers (PSS), this strategy does not require precise mathematical modeling, reducing the complexity of parameter tuning and enhancing adaptability to complex operating conditions. Additionally, the method possesses strong scalability, facilitating easy integration with other control techniques, thereby providing new insights and technical support for the development of future smart grids. Research findings indicate that the fuzzy logic-based control strategy not only enhances power system stability but also offers an effective approach to addressing challenges brought by renewable energy integration, holding significant theoretical and practical value.
Keyword:Power System Stability Control Fuzzy Logic Low-Frequency Oscillation Suppression
目 录
引言 1
1模糊逻辑基础与应用 1
1.1模糊逻辑基本原理 1
1.2模糊逻辑在电力系统的应用现状 2
1.3模糊逻辑控制的优势与挑战 2
2电力系统稳定性分析 3
2.1电力系统稳定性的定义与分类 3
2.2影响电力系统稳定性的因素 3
2.3现有稳定控制策略的局限性 4
3基于模糊逻辑的控制策略设计 4
3.1模糊控制器的设计原则 4
3.2输入输出变量的选择与确定 5
3.3规则库的构建与优化 5
4策略实施与效果评估 6
4.1控制策略的仿真测试 6
4.2实际应用中的性能表现 7
4.3稳定性提升的效果评估 7
结论 7
参考文献 9
致谢 10
