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Systematic Analysis of Electrical and Climatic Environment and their Impact on Power Quality in Public LV Networks

公共低压电网电力和气候环境及其对电能质量影响的系统分析

基本信息

批准号：
115465649
负责人：
Professor Dr.-Ing. Peter Schegner
金额：
--
依托单位：
Institut für Elektrische Energieversorgung und Hochspannungstechnik (IEEH)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2009
资助国家：
德国
起止时间：
2008-12-31 至 2015-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/115465649?language=en
关键词：
Systematic Analysis Electrical Climatic Environment

项目摘要

Power Quality is divided in voltage and current quality. Both are time- and site-dependent and can be characterized by different parameters and indices. The different factors with impact on Power Quality can be assigned either to the electrical or the non-electrical environment. On one hand the electrical environment is described by the type and number of the connected consuming and generating equipment (consumer topology and generation topology) and on the other hand by the topology and technical parameters of the low voltage distribution grid (network topology). The non-electrical environment includes i.a. the impact of climatic parameters, like temperature or solar radiation. Goal of the project is the systematic identification and classification of correlations between the environmental impact factors and Power Quality based on suitable parameters. An essential requirement for the work is a comprehensive database that is created by a coordinated measurement campaign. Finally the feasibility of a Power Quality estimator based on the above mentioned impact factors of electrical and climatic environment is assessed.In the previous research a site-specific characterization of current quality based on topology and weather indices was successfully realized. Therefore a new method for the determination of topology- and weather-dependent quality profiles was introduced. Initial studies had shown that most significant relationships are expected for consumer topologies consisting of only one type of consumers (e.g. only residential) and days with distinctively different weather conditions (e.g. only sun). Therefore the research activities up to now were limited to these conditions. In the further work analyses are extended to sites that consist of a mixture of different consumer categories (e.g. residential and office or shops) as well as to days with less distinctive weather conditions. Furthermore consumer topology-specific quality profiles shall be developed by comparing the site-specific quality profiles for measurement sites with similar consumer topology. A continuation of the measurement campaign enables in-detailed analyses of methods for assessing long-term trends. In addition this allows the research on scalability effects. This effect describes the relation between the number of consumers and the level of a particular power quality parameter (e.g. current harmonics). Main focus is put on residential topologies, because the variance of number of customers (households) between different sites is most significant (some ten up to several hundred). Altogether the results provide a substantial basis for a feasibility study on methods to infer from indices characterizing electrical and climatic environment to power quality with an adequate accuracy. This so called Power Quality estimator can e.g. be based on expert systems, artificial neural networks.

电能质量分为电压质量和电流质量。两者都依赖于时间和地点，并且可以通过不同的参数和指数来表征。影响电能质量的不同因素可以分配给电气或非电气环境。电气环境一方面由所连接的用电设备和发电设备的类型和数量（用电拓扑和发电拓扑）来描述，另一方面由低压配电网的拓扑和技术参数（网络拓扑）来描述。非电气环境包括：气候参数的影响，如温度或太阳辐射。该项目的目标是根据合适的参数对环境影响因素与电能质量之间的相关性进行系统识别和分类。这项工作的一个基本要求是通过协调测量活动创建一个综合数据库。最后评估了基于上述电力和气候环境影响因素的电能质量估计器的可行性。在先前的研究中，成功实现了基于拓扑和天气指数的特定地点的电流质量表征。因此，引入了一种确定拓扑和天气相关质量剖面的新方法。初步研究表明，最重要的关系预计适用于仅由一种类型的消费者（例如仅住宅）和天气条件明显不同的日子（例如仅阳光）组成的消费者拓扑。因此，迄今为止的研究活动仅限于这些条件。在进一步的工作中，分析扩展到由不同消费者类别混合组成的场所（例如住宅和办公室或商店）以及天气条件不太明显的日子。此外，应通过比较具有类似消费者拓扑的测量站点的站点特定质量配置文件来开发消费者拓扑特定质量配置文件。测量活动的继续可以对评估长期趋势的方法进行详细分析。此外，这还可以研究可扩展性效应。这种效应描述了用户数量与特定电能质量参数（例如电流谐波）水平之间的关系。主要关注点是住宅拓扑，因为不同站点之间的客户（家庭）数量差异最为显着（大约十到数百）。总而言之，这些结果为从电力和气候环境特征指标以足够的精度推断电能质量的方法的可行性研究提供了坚实的基础。这个所谓的电能质量估计器可以例如基于专家系统、人工神经网络。

项目成果

期刊论文数量（3）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Assessment of Power Quality performance in distribution networks part II - Performance Indices and ranking of network buses

配电网电能质量绩效评估第二部分 - 绩效指数和网络母线排名

DOI：
10.1109/ichqp.2016.7783326
发表时间：
2016
期刊：
2016 17th International Conference on Harmonics and Quality of Power (ICHQP)
影响因子：
0
作者：
E. Gasch;M. Domagk;J. Meyer;S. Abdelrahman;H. Liao;J. V. Milanovic
通讯作者：
J. V. Milanovic

Seasonal variations in long-term measurements of power quality parameters

电能质量参数长期测量的季节性变化