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，为实现高效、清洁和可持续的能源利用提供了关键支撑。在这一背景下，需求侧响应策略的研究成为优化电力资源配置、缓解供需矛盾的核心议题。本研究旨在探索智能电网环境下需求侧响应的优化机制，通过构建数学模型与算法设计，提出了一种基于多目标优化的需求侧响应策略。具体而言，研究结合电价激励与负荷调控手段，引入用户行为特征分析，以提高响应策略的适应性和有效性。方法上，采用混合整数线性规划（MILP）建立优化模型，并结合遗传算法与粒子群优化算法对模型进行求解，从而实现负荷曲线平滑化与系统运行成本最小化的目标。研究结果表明，所提出的策略能够显著降低高峰负荷，提升电网运行效率，同时兼顾用户满意度与经济效益。
关键词：智能电网 需求侧响应 多目标优化
Abstract
With the increasingly prominent energy crisis and environmental problems, smart grid, as an important development direction of modern power system, provides a key support for the realization of efficient, clean and sustainable energy utilization. In this context, the research of demand side response strategy has become the core topic of optimizing the allocation of power resources and alleviating the contradiction between supply and demand. This study aims to explore the optimization mechanism of demand-side response in the smart grid environment, and proposes a demand-side response strategy based on multi-ob jective optimization by constructing the mathematical model and algorithm design. Specifically, combining electricity price incentive and load regulation means, introducing user behavior characteristic analysis, to improve the adaptability and effectiveness of response strategies. Methods, mixed integer linear programming (MILP) is used to establish the optimization model, and solve the model combined with genetic algorithm and particle swarm optimization algorithm, so as to achieve the goal of load curve smoothing and minimum system operation cost. The results show that the proposed strategy can significantly reduce the peak load, improve the operation efficiency of the power grid, and consider both user satisfaction and economic benefits.
Keyword:Smart Grid Demand Side Response Multi-ob jective Optimization
目 录
1绪论 1
1.1智能电网与需求侧响应背景 1
1.2需求侧响应策略的研究意义 1
1.3国内外研究现状分析 1
1.4本文研究方法与技术路线 2
2智能电网环境下的需求侧响应机制分析 2
2.1需求侧响应的基本概念与分类 2
2.2智能电网中需求侧响应的关键技术 3
2.3用户行为对需求侧响应的影响 3
2.4需求侧响应的激励机制设计 3
2.5不同场景下的响应机制对比 4
3需求侧响应策略的优化模型构建 4
3.1优化模型的目标函数设定 4
3.2约束条件与变量定义 5
3.3数学建模方法的选择与应用 5
3.4基于智能算法的优化求解 6
3.5模型验证与结果分析 6
4需求侧响应策略的实际应用与案例研究 6
4.1实际应用场景的需求分析 7
4.2案例选择与数据采集 7
4.3响应策略在电力负荷管理中的应用 7
4.4经济效益与环境效益评估 8
4.5应用中存在的问题与改进建议 8
结论 9
参考文献 10
致谢 11
