高、低压电网动态行为耦合特征及解耦处理方法

The wide-area measurement plays an important role in the progress of power grid intelligentization. It is determined by the nature of AC power grid that state changes caused by large disturbance at high voltage level propagate to low voltage levels. The dynamic behavior detected at the low voltage level is the coupling between dynamic behaviors of major grid and local grid, which has been verified by the data recorded by the first wide-area measurement system deployed at demand side (WAMS Light) that is invented by the project group. Aiming to expand the theory of power system measurements, improve the availability of the data measured at low voltage level, this project involves researches of the noise characteristics of the measured data of power system, the coupling mechanism of dynamic behaviors of high and low voltage levels, and the decoupling method and its efficient realization. These mentioned above will be implemented at the host station system of WAMS Light in the future. Furthermore, this project also explores the big data processing technique of smart grid, designs the big data online processing platform based on the cloud computing, and implements the data processing system of the host station system of WAMS Light into the big data online processing platform. The related studies will contribute to deepening the cognition of dynamic behaviors of power grid, promoting the theory and technique of wide-area measurements, and providing references for the big data processing of smart grid. In addition, it will be of great significance at the level of theory and practice that the related studies can improve the practicality WAMS Light greatly, which makes it a direct open platform for universities and research institutes to obtain the measured dynamic response data of the interconnected power grid.

广域测量在电网智能化进程中发挥着重要作用。交流电网本质属性决定了高压主网大扰动引发的状态变化会反映在低压电网，项目组研发的国内首套轻型广域测量系统（WAMS Light）记录数据也证实，低压电网监测到的动态是高压主网动态与就地动态的耦合。本项目从拓展电网量测理论、提高低压量测数据可用性出发，研究低压电网量测数据噪声特征、高压和低压电网动态行为耦合机理、动态行为解耦处理方法及高效实现，并在WAMS Light主站系统中在线实施；探索智能电网大数据处理技术，设计基于云计算的大数据在线处理平台架构，并将WAMS Light主站数据处理系统在大数据处理平台中实施。相关研究不仅有助于深化对电网动态行为认知、推动广域测量理论和技术进步、为智能电网大数据处理实践提供借鉴，而且能大大提高WAMS Light实用化程度，使其成为高校等科研单位直接获取电网监测数据的开放式平台，在理论和实践层面均具有重要意义。

广域测量在电网智能化进程中发挥着重要作用。交流电网本质属性决定了高压主网大扰动引发的状态变化会反映在低压电网，项目组研发的国内首套轻型广域测量系统（WAMS Light）记录数据也证实，低压电网监测到的动态是高压主网动态与就地动态的耦合。本项目从拓展电网量测理论、提高低压量测数据可用性出发，研究低压电网量测数据噪声特征、高压和低压电网动态行为耦合机理、动态行为解耦处理方法及高效实现，并在WAMS Light主站系统中在线实施；探索智能电网大数据处理技术，设计基于云计算的大数据在线处理平台架构，并将WAMS Light主站数据处理系统在大数据处理平台中实施。相关研究不仅有助于深化对电网动态行为认知、推动广域测量理论和技术进步、为智能电网大数据处理实践提供借鉴，而且能大大提高WAMS Light实用化程度，使其成为高校等科研单位直接获取电网监测数据的开放式平台，在理论和实践层面均具有重要意义。项目研究成果主要包括：1）系统揭示了高、低压电网动态行为相关性机理，清晰阐述低压电网量测数据特征和适用场景，促进广域测量理论的发展；2）提出并实现高、低压电网动态行为解耦算法，提高了低压电网量测数据的成熟度和可用性；3）设计完成适用于智能电网全景式量测的大数据在线处理平台架构，并完善WAMS Light主站系统，使WAMS Light更好地服务于我国科技工作者的科研和教学；4）在国内外核心期刊发表SCI/EI论文12篇，申请发明专利3项，撰写《轻型广域测量系统-配电网同步测量技术及应用》专著初稿并签订了出版合同。