摘 要
随着能源危机和环境问题的日益严峻，智能电网作为现代电力系统的重要发展方向，为可再生能源的高效利用提供了关键支撑。微电网作为智能电网的核心组成部分，在提升分布式能源接入能力、优化能源配置及提高供电可靠性方面具有重要意义。本研究旨在探索微电网在智能电网中的运行与控制策略，以实现其高效、稳定和经济运行。研究基于多源数据融合技术，提出了一种综合考虑负荷预测、电源调度及储能管理的优化控制方法，并通过引入人工智能算法改进了传统控制策略的动态响应性能。结果表明，所提出的控制策略能够显著降低微电网运行成本，同时提高系统对可再生能源的消纳能力和抗干扰能力。此外，该方法在不同工况下的适应性得到了验证，展现出良好的鲁棒性和灵活性。本研究的主要创新点在于将数据驱动与模型驱动相结合，构建了适用于复杂运行场景的微电网协同控制框架，为未来智能电网中微电网的大规模应用提供了理论支持和技术参考。
关键词：智能电网；微电网控制策略；多源数据融合；可再生能源消纳；人工智能算法
Abstract
With the increasing severity of energy crises and environmental issues, smart grids, as a critical direction for the development of modern power systems, provide essential support for the efficient utilization of renewable energy. Microgrids, as a core component of smart grids, play a significant role in enhancing the integration capability of distributed energy resources, optimizing energy allocation, and improving power supply reliability. This study focuses on exploring the operation and control strategies of microgrids within smart grids to achieve their efficient, stable, and economical operation. Based on multi-source data fusion technology, an optimized control method is proposed that comprehensively considers load forecasting, power source scheduling, and energy storage management. By incorporating artificial intelligence algorithms, the dynamic response performance of traditional control strategies is improved. The results demonstrate that the proposed control strategy can significantly reduce the operational costs of microgrids while enhancing the system's capacity to accommodate renewable energy and its resilience to disturbances. Additionally, the adaptability of this method under various operating conditions has been verified, showcasing excellent robustness and flexibility. A key innovation of this research lies in the combination of data-driven and model-driven approaches to construct a collaborative control fr amework for microgrids suitable for complex operational scenarios, providing theoretical support and technical references for the large-scale application of microgrids in future smart grids.
Keywords: Smart Grid；Microgrid Control Strategy；Multi-Source Data Fusion；Renewable Energy Accommodation；Artificial Intelligence Algorithm
目 录
摘 要 I
Abstract II
一、绪论 1
（一）智能电网与微电网概述 1
（二）微电网运行与控制的研究背景与意义 1
（三）国内外研究现状分析 1
二、微电网运行模式分析 2
（一）微电网运行的基本模式 2
（二）并网模式下的运行特性研究 2
（三）独立模式下的运行特性研究 3
（四）运行模式切换的关键技术 4
三、微电网控制策略设计 4
（一）控制策略的分类与选择 4
（二）基于分层架构的控制方法 5
（三）分布式控制策略的应用研究 5
（四）控制策略的优化与改进 6
四、微电网运行与控制的仿真与验证 6
（一）仿真平台的构建与参数设置 6
（二）不同运行模式的仿真分析 7
（三）控制策略的仿真验证与评估 7
（四）实验结果与性能分析 8
结 论 8
致 谢 10
参考文献 11
