Intelligent Control Concepts for Automatic Generation Control of Electric Power Systems

本研究的目的是开发一种设计 智能自动发电控制 (AGC)用于电力系统。 电动 公用事业使用自动发电控制来平衡 他们每时每刻的发电量， 在给定的控制区域内加载。 南部 电气系统采用性能指标进行分级 其发电厂的自动发电控制。 48年迄今的平均业绩指数 燃煤机组为57.9。 换句话说， 在古典音乐中的表现不如预期 自动增益控制 这种差的AGC性能反映在 系统资源管理不善， 成本 经典控制的问题在于 方法是它没有能力 智能地评估系统内的变化， 试图控制。 这项研究将探索 两个主要领域， AGC -负荷预测和电厂条件。 可以实现AGC的显著改进 通过将智能系统集成到 控制系统可以推理 负荷和发电量的动态变化 设施

The objective of this research is to develop a design for an intelligent automatic generation control (AGC) for use on electric power systems. Electric utilities use automatic generation control to balance their moment-to-moment electrical generation to load within a given control area. The Southern Electric System uses a performance index to grade its power plants on automatic generation control. The average year-to-date performance index for 48 coal-fired units is 57.9. In-other-words, the units are not performing as well as desired on classical AGC. This poor AGC performance is reflected in poor management of system resources and higher costs. The problem with the classical control approach is that it does not have the ability to intelligently assess changes within the system it is attempting to control. This research will explore two major areas in which to add intelligence to AGC - load forecasting and plant conditions. Significant improvements in AGC can be achieved through the integration of intelligent systems into the control system that can reason about the dynamic changes in the load and the generation facilities.