摘要：电力系统的运行是一个庞大而又复杂的系统工程。电力系统的运行会产生大量包含电力系统运行重要信息的数据，对这些数据进行有效的分析处理已成为一个重要的研究方向。在此背景下，利用智能技术在数据处理中的优势，将相关智能技术应用于电力决策支持系统（Electric Power Decision Support System）并建立智能电力决策支持系统（Intelligent Electric Power Decision Support System）是一种新的策略。本文概述了应用于电力决策支持系统中的3种智能技术，专家系统、神经网络和遗传算法，对各种方法的特点进行了总结，重点探讨和分析了各自的优缺点，为从事相关领域研究的技术人员提供了一定的技术指导和理论支持。
关键词：决策支持系统；专家系统；神经网络；遗传算法
Abstract: The operation of the power system is huge and complex system engineering. The operation of the power system will generate a large amount of data containing important information about the operation of the power system. Effective analysis and processing of these data has also become an important research direction. Under this background, using the advantages of intelligent technologies in data processing, it is a new strategy to apply the related intelligent technology to the electric power decision support system and to establish an intelligent power decision support system (Intelligent electric power decision support system). This paper outlined three kinds of intelligent technologies applied to the electric power decision support system, the expert system (Expert system, ES), neural network (Artificial neural networks, ANNs), genetic algorithm (Genetic algorithm, GA). The characteristics of various methods were summarized, and their advantages and disadvantages were discussed and analyzed. This paper also provided technical guidance and theoretical support for technical personnel engaged in related fields.
Key words: decision support system; expert system; artificial neural network; genetic algorithm