Intelligent Control Concepts for Automatic Generation Control of Electric Power Systems

本研究的目的是开发一种用于电力系统的智能自动发电控制（AGC）的设计。电力公司使用自动发电控制来平衡给定控制区域内的瞬时发电负荷。南方电力系统使用一种性能指标对其发电厂的自动发电控制进行分级。48台燃煤机组年初至今的平均性能指数为57.9。换句话说，这些单元在经典AGC上的表现不如预期。这种较差的AGC性能反映在系统资源管理不善和较高的成本上。经典控制方法的问题在于，它没有能力智能地评估它试图控制的系统中的变化。本研究将探讨在AGC中加入智能的两个主要领域——负荷预测和工厂条件。通过将智能系统集成到能够对负荷和发电设施的动态变化进行推理的控制系统中，可以实现AGC的显著改进。

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.