【作者】 高翔；

【导师】 李扬；

【作者基本信息】 东南大学 ， 电气工程， 2016， 硕士

【摘要】 随着我国智能电网和全球能源互联网建设的不断推进,需求响应作为其中的一项关键技术,在维持电力系统经济、可靠和高效运行中所发挥的作用与日俱增。对需求响应领域更加深入和多元化的研究是当前经济和环保形势下的迫切需求。本文在分析当前对于稳态需求响应研究的基础上,对仍在起步状态的动态需求响应进行研究,并针对其用户电力特性和潜力规律进行研究。本文的研究侧重于动态需求响应的特性与潜力研究及方法优化。研究重点内容如下：(1)给出了动态需求响应的定义,明确了其发生条件和作用方式,并对其适用的调节尖峰负荷与降低故障时段负荷场景进行分析研究。同时从响应的快速性和实时性入手,论证了在传统需求响应研究之外继续进行动态需求响应研究的必要性。(2)针对动态需求响应的负荷模型定义了最大负荷削减量、效果持续时间与再平衡调节峰值等一系列有价值的负荷特性参数指标,实现了动态需求响应实施效果的定量分析。(3)研究了参与动态需求响应的可能负荷设备类型,并对其中的空调负荷、电动汽车负荷和电池储能系统进行深入的用电特性研究和负荷模型建模分析,对他们各自参与动态需求响应负荷控制的作用角色进行研究,确立了以空调负荷为主,电动汽车和电池储能系统为辅的工作模式,并进行了优化运算。(4)运用基于遗传算法的多目标最小二乘支持向量机算法,提出了基于分组控制和分段温控的优化控制潜力模型,并研究了空调集群负荷参与动态需求响应的特性分析。同时对用户动态需求响应潜力相对于不同的室外温度、设定温度等外部因素的变化规律进行研究,建立了不同外部环境下的潜力变化规律。更多还原

【Abstract】 With the constant propulsion of China’s smart grid and global energy Internet, demand response, which is one of the key technologies, is playing a progressively important role to ensure the economy, reliability and efficiency in power system. It is imperious to research this topic in an in-depth and diversified way.Based on current researches on traditional demand response, inchoate dynamic demand response is focused on. At the same time, specific user characteristics and rule in potency are also analyzed in this paper.User characteristics and method optimization are presented in this paper places. The research contents are as follows:(1) The definition of dynamic demand response is pinpointed. Based on the conditions and actions of dynamic demand response, researches on some of the scenes applying to the model, such as cutting down the peak load and the malfunction load. The necessity of dynamic demand response is researched based on its rapidity and instantaneity.(2) A series of valuable parameters, such as the maximum load reductions, effect duration and rebalance vibration are also defined under the construction of dynamic demand response, the quantitative analysis of dynamic demand response are insured.(3) The possible load categories in dynamic demand response are researched, the characteristics and building the construction based on air condition, electric vehicle and battery energy storage system is clarified. The role and interface of this facilities are also optimized in this paper.(4) Multiple facilities’ participation in dynamic demand response using the method is researched based on Genetic Algorithm and least square support vector machine. The user characteristics and potency of dynamic demand response are also proposed according to the changes in external factors.更多还原