智能电网大范围故障监测与自愈调控理论与技术

To meet the security and robustness of the large-scale complicated grid, this project investigates the theory and technology based on a wide range of fault monitoring and self-healing control theory. The main content consists of studying on multidimensional space and time and it's transfer characteristic, establishing the fault feature mining and jamming signal identification theory, proposing the latent faults and high resistance fault detection method and power grid failure accurate location technology, building a failure monitoring information platform framework.Based on the grid vulnerability degrees and self-organized criticality index of the power system, the prevention and coordinated control principle will be investigated. By means of making N-1 criterion standards and modifying the setting of control parameters, the theory and methods of intelligent power grid prevention and coordinated control, which has the ability to defense the cascading failure blackouts, will be proposed. Based on the thought of maintaining the stability proactively,the emergency self-healing control theory and technology in smart grid focusing on dynamic security early warning and real-time dynamical zone will be proposed. It also investigates the theory of the recovery of planning, management and implement in the power system, and the online real-time evaluation principle and index system which describes the recoverability of power grid are proposed, and self-restoration control theory and technology of smart grid which is based on the index of recoverability are established. Through this project, the smart grid early warning and defense theory and technological system which satisfy great strategic aims of smart grid construction in China are constructed.

为应对大规模复杂电网的安全与鲁棒性问题，系统地研究智能电网的大范围故障监测和自愈控制的理论与技术。内容包括：研究时空多维尺度故障信息及其传输特性，建立故障特征挖掘及干扰信号辨识理论，提出潜伏性故障和高阻故障检测方法及电网故障精确定位技术，构建故障监测信息平台结构；研究基于电网脆弱度和系统自组织临界态指标的预防和协调控制原理，通过在线制定N-1准则和修改控制设备定值，提出具有连锁故障整体防御能力的智能电网预防控制理论与方法；研究基于主动致稳思想的紧急控制原理，提出以动态安全预警和实时动态分区为核心的智能电网紧急自愈控制理论与方法；研究电网恢复规划、恢复管理及恢复实施原理，提出可恢复性的在线实时评估原理与指标体系，创建以可恢复度指标为基础的智能电网自恢复控制理论与技术体系。通过本项目的研究，构建满足我国智能电网建设重大战略需求的智能电网安全预警与防御的理论与技术体系。

本项目系统地研究智能电网的大范围故障监测和自愈控制的理论与技术。内容包括：研究时空多维尺度故障信息及其传输特性，建立包含电网多维实时信息的广域综合信息平台，并结合多元件的暂态信息传输模型，提出多种故障辨识和故障定位的方法与策略。不仅实现通信故障与物理故障的有效辨识，还能对智能大电网大范围的进行故障监测；研究SCADA 和WAMS 混合量测信息，建立一种基于广域测量系统的参数辨识模型，对智能电网的运行状态进行动态评估，并通过在线制定N-1准则和修改控制设备定值，降低电网脆弱度，提高电网稳定域；研究综合信息系统构建降阶模型，提出电网快速判断法与预警指标体系，对电网运行状态进行等级划分，并通过在线寻求大电网拟解列最佳割集，最终缩小故障区域；针对高可恢复度电网及电网构架大面积损毁的情况，充分考虑应急设备的配置、布局、调度的动态变化特点，分析紧急控制动作的时空信息对恢复控制的作用，建立时空协调的智能电网自适应恢复系统，构建了以可恢复度指标为基础的智能电网自恢复控制框架结构与自恢复控制理论与技术体系；研究电网恢复规划、恢复管理及恢复实施原理，提出可恢复性的在线实时评估原理与指标体系。通过本项目的研究，初步形成满足我国智能电网建设重大战略需求的智能电网安全预警与防御的理论与技术体系。

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