分布式发电系统中的人工智能技术  

Artificial intelligence technique applied in distributed generation system

作　　者：张有兵[1] 翁国庆[1] 

机构地区：[1]浙江工业大学信息工程学院,浙江杭州310014

出　　处：《电力科学与技术学报》2009年第1期19-24,共6页Journal of Electric Power Science And Technology

基　　金：国家自然科学基金(50777057)

摘　　要：总结分布式发电系统运行于孤立模式和并网模式时需要考虑的主要问题,全面综述多代理系统(MAS)、人工神经网络(ANN)、遗传算法(GA)和模糊逻辑(FL)等典型人工智能技术在分布式发电系统中应用情况及国内外的研究现状,分析并指出各种方法在应用中存在的问题和解决思路.提出一种基于高速配电网通信技术(PLC)和Mu lti-agent技术的网络化分布式发电系统协调控制系统方案.This paper gives a brief description of the key problems which need to be cautiously considered existing in both the isolated operation mode and the grid-connected operation mode for distributed generation （DG）. Some advanced artificial intelligence techniques are adopted to solve those problems as effecfive tools. The application situation and research status of multi-agent system, artificial neural network, genetic algorithm and fuzzy logic in distributed generation system home and abroad are summarized detailedly. The existing problems and solving thoughts of each artificial intelligence technique are analyzed. Finally, a networked coordinated control system scheme for distribution systems with DGs is developed, which is based on the power line carrier communication （PLC） technique and multi-agent technique.

关 键 词：人工智能技术 分布式发电系统 多代理系统(MAS) 电力线载波通信(PLC) 

分 类 号：TM61[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]