A New Approach to Real Time Line Outage Contingency Analysis for Voltage Secure Operation of Power Systems

B. Suthar, R. Balasubramanian
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引用次数: 6

Abstract

A new approach to ANN-based real time line outage contingency analysis for voltage security assessment in a power system has been proposed in this paper. In this approach a separate ANN has been trained for each of the vulnerable load buses in the system from the voltage stability point of view. The vulnerable load buses of the system are identified by modal analysis of the system reduced Jacobian (of Q-V coupling) matrix. The output obtained from each of these ANN's is the "distance to voltage collapse" in terms of the MVAR margin available at the specific vulnerable load bus corresponding to the current operating point (loading condition) of the system. The novel inputs proposed for these ANN's consist of the complex power contributions of each of the generators and other controllable reactive power sources provided in the system in meeting the load at the particular load bus at the current loading condition and the electrical distances between these sources and the load bus, in addition to the conventionally used inputs of reactive power margins at the sources and the complex power drawn by and the voltage magnitude at the particular load bus. These special inputs have been proposed essentially to take care of two types of evolving voltage instability processes in a system viz. the reactive power sources gradually exhausting their limits as well as the transmission system approaching its maximum power transfer capabilities.
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电力系统电压安全运行的实时停电事故分析新方法
本文提出了一种基于人工神经网络的电力系统电压安全实时停电事故分析方法。在这种方法中,从电压稳定性的角度出发,对系统中每个脆弱负载母线分别训练一个人工神经网络。通过对系统约简雅可比矩阵(Q-V耦合)的模态分析,确定了系统的脆弱负载母线。从这些人工神经网络中得到的输出是“到电压崩溃的距离”,根据系统当前工作点(负载条件)对应的特定脆弱负载母线上可用的MVAR裕度。为这些人工神经网络提出的新输入包括在当前负载条件下,每个发电机和系统中提供的其他可控无功电源在满足特定负载母线上的负载时的复杂功率贡献以及这些电源与负载母线之间的电距离。除了传统使用的源端无功裕度输入和特定负载母线上的复杂功率和电压幅值之外。这些特殊输入主要是为了照顾系统中两种类型的电压不稳定过程,即无功电源逐渐耗尽其极限以及输电系统接近其最大功率传输能力。
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