摘 要
随着能源危机和环境问题的日益突出，智能电网作为现代电力系统的重要发展方向，其调度策略的研究成为学术界和工业界的关注焦点。为应对传统调度方法在复杂性和灵活性方面的不足，本文提出了一种基于多代理系统的智能电网调度策略。研究旨在通过多代理技术实现对电网中分布式资源的高效协调与优化管理，从而提升系统的运行效率和可靠性。具体而言，本文设计了一种多层次代理架构，将发电侧、负荷侧及储能设备纳入统一框架，并引入强化学习算法以增强代理间的协作能力。通过构建模拟仿真平台，验证了所提策略在负荷平衡、需求响应以及故障恢复等关键场景中的有效性。实验结果表明，该策略能够显著降低系统运行成本，提高可再生能源利用率，并有效应对不确定性因素的影响。
关键词：智能电网调度 多代理系统 强化学习
Abstract
With the increasingly prominent energy crisis and environmental problems, smart grid as an important development direction of modern power system, the research of its dispatching strategy has become the focus of academia and industry. To cope with the shortcomings of complexity and flexibility of traditional dispatching methods, this paper proposes a smart grid dispatching strategy based on multi-agent system. The research aims to realize the efficient coordination and optimal management of distributed resources in the power grid through multi-agent technology, so as to improve the operation efficiency and reliability of the system. Specifically, this paper designs a multi-level agent architecture, which integrates the generation side, load side and energy storage equipment into the unified fr amework, and introduces reinforcement learning algorithm to enhance the collaboration ability among agents. By constructing the simulation platform, the effectiveness of the proposed strategy in key scenarios such as load balancing, demand response and fault recovery is verified. The experimental results show that this strategy can significantly reduce the system operation cost, improve the utilization rate of renewable energy, and effectively deal with the influence of uncertainty factors.
Keyword:Smart Grid Scheduling Multi-Agent System Reinforcement Learning
目 录
1绪论 1
1.1智能电网调度的研究背景与意义 1
1.2多代理系统在智能电网中的应用现状 1
1.3国内外研究进展与挑战 1
1.4本文研究方法与技术路线 2
2多代理系统理论基础与框架设计 2
2.1多代理系统的概念与特性分析 2
2.2智能电网中多代理系统的架构设计 3
2.3代理间通信机制与信息交互模型 3
2.4多代理系统的优化算法选择与实现 4
2.5理论框架在智能电网调度中的适配性 4
3基于多代理系统的调度策略设计 4
3.1智能电网调度需求分析与目标设定 5
3.2调度策略的多代理分解与任务分配 5
3.3动态负载均衡的代理协同机制 6
3.4不确定性环境下的调度策略优化 6
3.5调度策略的性能评估指标体系 6
4实验验证与结果分析 7
4.1实验平台搭建与数据采集方法 7
4.2多代理系统在实际调度中的应用案例 7
4.3调度策略的仿真测试与结果对比 8
4.4性能改进措施与优化方向探讨 8
4.5实验结果 9
结论 9
参考文献 11
致谢 12
