基于大数据的用户用电行为分析研究在新能源电网中的应用

发布时间：2019-05-07 23:03

【摘要】：在能源危机、环境污染以及供电可靠的背景下,智能电网应运而生,分布式发电技术得到了迅猛的发展,尤其是以风光、燃料电池、微型燃气轮机以及储能电池等为代表的发电和存储技术。国内外研究表明,将分布式发电供能系统以微电网的形式接入大电网,是其功能发挥的有效方式。为促使微电网成功并入现有系统,并得以推广,其运行的经济性将是关键所在。微电网系统的经济运行不仅取决于它的电源结构,还与它所处的市场环境息息相关,如电价形式、天然气价格、上网政策等。本文研究了在微电网系统中,考虑用户用电行为响应对微电网系统经济性的影响。文章首先对分布式电源发电及储能系统进行了深入的研究,重点研究了太阳能光伏发电的原理及其输出特性,研究了蓄电池储能系统和电动汽车储能系统,对两者的现状进行了较为全面的论述。其次,搭建了大数据分析平台,对分布式存储和计算进行了研究,利用该平台对用电数据进行了分布式存储和规约,将用电信息数据分为重要负荷、可控负荷和可转移负荷,构建了基于用电行为响应的微电网系统模型,并进行了算例分析。最后,基于HOMER软件仿真模拟了一个微电网系统,对该系统进行了最优容量配置,在该配置下微电网系统的经济性最高。
[Abstract]:Under the background of energy crisis, environmental pollution and reliable power supply, smart grid emerges as the times require, and distributed power generation technology has been developed rapidly, especially with scenery and fuel cell. Power generation and storage technologies represented by micro gas turbines and energy storage batteries. The research at home and abroad shows that it is an effective way to connect the distributed generation and energy supply system to the large power grid in the form of microgrid. In order to successfully integrate the microgrid into the existing system and popularize it, the economy of its operation will be the key. The economic operation of microgrid system depends not only on its power supply structure, but also on its market environment, such as electricity price form, natural gas price, network policy and so on. In this paper, the influence of user's response to power consumption on the economy of microgrid system is studied. Firstly, the distributed power generation and energy storage system is studied deeply, especially the principle and output characteristics of solar photovoltaic power generation, battery energy storage system and electric vehicle energy storage system. The current situation of the two has been discussed in a more comprehensive way. Secondly, the big data analysis platform is built, and the distributed storage and calculation are studied. The distributed storage and specification of the power consumption data is carried out by using the platform, and the electricity information data is divided into important load, controllable load and transferable load, and the power consumption information data is divided into important load, controllable load and transferable load. A micro-grid system model based on the response of electricity consumption is constructed, and an example is given to analyze the model. Finally, a micro-grid system is simulated based on HOMER software, and the optimal capacity allocation of the system is carried out. Under this configuration, the economy of the micro-grid system is the highest.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM73

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