Application of pattern recognition to security assessment and enhancement in power systems

A. El-Abiad
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Abstract

There has been a very rapid increase in the size of power systems, and it is still growing. This growth has made the present day systems very big and complex. The complexity is arising especially due to many Interconnections, different types of loads and larger generating units. Also there is uncertainty in load forecasting. With EHV interconnections the disturbances are felt even in geographically distant parts of the system, increasing the severity of the disturbances. These factors make the satisfactory operating of the system a more difficult task. Added to this, Society is becoming more dependent on electric power; and it is essential to make the power available to customers without any interruption and within certain limits of voltage and frequency variations. This means that there is a great need to ensure that a system is as economical, reliable and secure as possible [1]. High reliability of the system is usually obtained by following the principles of bulk power supply planning. However, due to delay in commissioning of new plants and equipment, equipment outages, unexpected load demands and disturbances, the system may be forced to operate in or close to critical and emergency conditions. Hence, in addition to sophisticated planning and designing of the system, an effective operation and control of power systems is essential. The maintenance of a system in a reliable and secure mode is becoming an Important part of the Job of the operators. In the past, more emphasis was given to economic operation; but in view of the consequences of power failures, reliable and secure operation of the system is being given more importance. Security assessment deals with the tracking of the system and deciding whether the present state is secure or not. If the system's state is found to be insecure, it forewarns the operator to take possible remedial action or to be ready for the disturbance if it takes place. This is done before any disturbance (which may lead to failure or deterioration in the quality of supply) occurS. Thus security evaluation is essentially an on-line procedure. The paper will discuss the different operating states of a power system, system security and different approaches for transient security assessment. Recent research results applying the pattern recognition approach will be summarized and presented.
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模式识别在电力系统安全评估与提升中的应用
电力系统的规模一直在快速增长,而且还在不断增长。这种增长使当今的系统变得非常庞大和复杂。特别是由于有许多互连、不同类型的负载和较大的发电机组,其复杂性日益增加。负荷预测也存在不确定性。通过超高压互连,即使在地理位置较远的系统部分也能感受到干扰,从而增加了干扰的严重程度。这些因素使得系统的良好运行变得更加困难。此外,社会越来越依赖电力;在一定的电压和频率变化范围内,使电力不间断地提供给客户是至关重要的。这意味着非常需要确保系统尽可能经济、可靠和安全[1]。系统的高可靠性通常通过遵循大容量供电规划的原则来实现。然而,由于新工厂和设备的调试延迟、设备中断、意外负载需求和干扰,系统可能被迫在或接近临界和紧急条件下运行。因此,除了对电力系统进行周密的规划和设计外,对电力系统进行有效的运行和控制也是必不可少的。以可靠和安全的方式维护系统已成为操作人员工作的重要组成部分。过去,更重视经济运行;但考虑到电力故障的后果,系统的可靠、安全运行越来越受到重视。安全评估处理对系统的跟踪,并决定当前状态是否安全。如果发现系统的状态是不安全的,它会预先警告操作员采取可能的补救措施,或者在发生干扰时做好准备。这是在任何干扰(可能导致供应质量的失败或恶化)发生之前完成的。因此,安全评估本质上是一个在线过程。本文将讨论电力系统的不同运行状态、系统安全性以及暂态安全评估的不同方法。总结和介绍了近年来应用模式识别方法的研究成果。
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