基于用电信息采集的负荷特性分析方法及其应用研究

发布时间：2018-02-22 13:25

本文关键词： 用电信息采集系统负荷特性情景感知需求响应负荷调度　出处：《华北电力大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着当今社会的快速发展,能源短缺问题是人们不得不面对的严峻问题,以传统能源发电的电网模式将面临新的挑战。平衡调度电源与负荷可使电网变得互动化、智能化。高级量测体系(Advanced Metering Infrastructure,AMI)是智能电网的核心基础。用电信息采集系统是高级量测体系在我国发展的雏形。智能用电信息采集系统通过对用户数据进行实时采集,便于供电企业更好地掌握用户的负荷情况和用电规律,提高负荷预测准确性,服务于在我国能源战略中有着举足轻重作用的需求侧管理,以此解决我国用电高峰的现象。情境感知(Context Awareness)技术在智能家庭中的应用将不断提高我们的生活质量,为我们的做出行为决策提供强有力支持。本文在此背景下,提出了一种基于用电信息采集的负荷特性分析方法,并将其应用在负荷调度中。本文在用电信息采集系统的基础上,从居民用电负荷角度出发,根据用电信息采集所得数据,通过情景感知系统分析居民用电行为,从而可知居民在每个时间段内居民使用用电设备的情况。将用电设备分为四类,在此分类的基础上使用考虑基于分时电价的用电设备的负荷调度模型和算法进行实际算例的需求响应分析,并做了本算法与未经调度情况下在节省电费方面的比较。验证了本调度模型和算法在节省电费花销上具有明显优点。
[Abstract]:With the rapid development of today's society, the problem of energy shortage is a severe problem that people have to face. The power grid mode of traditional energy generation will face new challenges. Balancing the power supply and load can make the power grid become interactive and intelligent. Advanced Metering Infrastructure Amis (Advanced Metering Infrastructure Amis) is the core of smart grid. It is convenient for power supply enterprises to better grasp the load situation and the law of power consumption, improve the accuracy of load forecasting, and serve the demand-side management, which plays an important role in the energy strategy of our country. The application of situational context Awareness (situational Awareness) technology in intelligent homes will improve our quality of life and provide strong support for us to make behavioral decisions. Under this background, this paper presents a load characteristic analysis method based on power information collection, and applies it to load dispatching. On the basis of power information acquisition system, this paper starts from the point of view of household electric load. According to the data collected from the electric information, the behavior of the residents using electricity is analyzed through the situational perception system, and the situation of the residents using the electric equipment in each time period is thus known. The electric equipment is divided into four categories. On the basis of this classification, a load dispatching model and algorithm based on time-sharing price are used to analyze the demand response of practical examples. The comparison between this algorithm and the unscheduled one is made, and it is verified that the scheduling model and the algorithm have obvious advantages in saving the cost of electricity.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM714

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