电力信息物理系统的频率态势预测及负荷紧急控制技术

With the development of smart grid technology, large number of sensing devices, communication, computing and electrical power equipment are connected through the power grid and communication network to form a multi-dimensional heterogeneous complex system with the integration capabilities of real-time sensing, dynamic control and information services, which is electric power cyber physical systems (CPS). The high-speed communication network and wide-area measurement system support the global information based analysis and control methods, while also make higher requirement of information’s reliability. Focused on the transient frequency stability of large scale receiving end power grid, this project is to research two key problems of electric power CPS, i.e., mining the potential benefits of multi-source information and reducing the risk introduced by the communication network. To deal with the contradiction between the real-time characteristic and precision in frequency trajectory online analysis, based on the modeling idea of “physical model in core region & data based model in non-core region”, the new method for frequency prediction is proposed, which combines the physical relation and data model. In order to improve the stability of the transient frequency, a coordination control technology of CPS load is put forward with consideration of the multi-dimensional response ability. Aiming at the core problem of electrical power CPS mirror simulation, i.e., data interaction and time synchronization, an effective solution is proposed to establish the simulation platform to verify the theoretical analysis and control method.

随着智能电网建设的推进，大量传感、通信、计算设备和电气设备通过通信网和电力网互连，组成一个具备实时感知、动态控制和信息服务融合能力的多维异构复杂系统，即电力信息物理系统（CPS）。电力CPS的高速通信网络和广域量测系统为基于全局信息的分析与控制手段奠定了基础，同时也对信息的可靠性提出更高要求。本项目针对大受端电网暂态频率稳定问题，围绕挖掘多源信息潜在的优势和降低通信网络引入的风险两个电力CPS的核心问题展开研究。针对频率轨迹在线分析的实时性与精度之间的矛盾，基于“核心区域物理模型-非核心区域数据模型”的建模思想，提出物理关联与数据模型融合的电网频率态势预测方法；为提高电网受扰后暂态频率稳定性，提出考虑负荷多维响应能力的电力CPS负荷协调控制技术；针对电力CPS镜像仿真核心的数据交互和时间同步问题提出高效解决方案，并建立仿真平台对所提理论分析与控制方法进行实验验证。

随着智能电网建设的推进，大量传感、通信、计算设备和电气设备通过通信网和电力网互连，组成一个具备实时感知、动态控制和信息服务融合能力的多维异构复杂系统，即电力信息物理系统（CPS）。电力CPS的高速通信网络和广域量测系统为基于全局信息的分析与控制手段奠定了基础，同时也对信息的可靠性提出更高要求。本项目针对大受端电网暂态频率稳定问题，围绕挖掘多源信息潜在的优势和降低通信网络引入的风险两个电力CPS的核心问题展开研究。针对频率轨迹在线分析的实时性与精度之间的矛盾，基于“核心区域物理模型-非核心区域数据模型”的建模思想，提出物理关联与数据模型融合的电网频率态势预测方法；为提高电网受扰后暂态频率稳定性，提出考虑负荷多维响应能力的电力CPS负荷协调控制技术；针对电力CPS镜像仿真核心的数据交互和时间同步问题提出高效解决方案，并建立仿真平台对所提理论分析与控制方法进行实验验证。