华南理工大学学报(自然科学版) ›› 2006, Vol. 34 ›› Issue (6): 112-116.

• 电气工程 • 上一篇    下一篇

火电厂机组负荷优化调度软件系统的设计与实现

马晓茜 王毅 廖艳芬   

  1. 华南理工大学 电力学院,广东 广州 510640
  • 收稿日期:2005-06-16 出版日期:2006-06-25 发布日期:2006-06-25
  • 通信作者: 马晓茜(1964-),男,教授,博士生导师,主要从事电厂运行优化与控制、高效低污染燃烧方面的研究. E-mail:epxqma@scut.edu.cn
  • 作者简介:马晓茜(1964-),男,教授,博士生导师,主要从事电厂运行优化与控制、高效低污染燃烧方面的研究.

Design and Implementation of Optimized Dispatching Software System for Unit Load in Thermal Power Plant

Ma Xiao-qian  Wang Yi  Liao Yan-fe   

  1. College of Electric Power,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China
  • Received:2005-06-16 Online:2006-06-25 Published:2006-06-25
  • Contact: 马晓茜(1964-),男,教授,博士生导师,主要从事电厂运行优化与控制、高效低污染燃烧方面的研究. E-mail:epxqma@scut.edu.cn
  • About author:马晓茜(1964-),男,教授,博士生导师,主要从事电厂运行优化与控制、高效低污染燃烧方面的研究.

摘要: 为满足火电厂节能降耗的内在需要,提出了厂级监控信息系统(SIS)平台下的机组负荷实时优化调度软件系统框架,实现了SIS和管理信息系统(M1S)的无缝集成和发电负荷自动分配.通过在线采集运行数据进行经济计算,实时拟合出各机组煤耗特性曲线,建立机组负荷分配的数学模型,在此基础上采用分层模糊遗传算法。实现了机组负荷的最优化调度.基于微软.NET Framework解决方案和Browser/Server多层架构设计思想,设计和实现了该实时优化调度软件系统.采用该软件进行负荷优化调度。可使全厂供电煤耗率比原来的值长制分配模式降低0.5 g/(kW ·h)左右。有利于电厂的节能降耗.

关键词: 火电厂, 负荷, 优化调度, 厂级监控信息系统, 分层模糊遗传算法

Abstract:

In order to reduce the energy cost of thermal power plants,the architecture of a real.time optimized dispatching software system based on SIS(Supervisory Information System)platform is presented for unit load,in which the tight integration of SIS and MIS(Management Information System)and the auto-dispatching of the load are implemented.The real-time characteristic curves describing the energy cost of each unit are then simulated by the on-line collection and economic calculation of the operating data,with a mathematical model of load dispatching being set up.According to the proposed model,the optimized dispatching of the load is realized via the layered fuzzy genetic algorithm.Moreover,the corresponding dispatching software system is designed and implemented based on the Microsoft.NET Framework and the multi-layer Browser/Server concept.As compared with the traditional onduty dispatching mode,the proposed softwaFe helps decrease the power-supply coal cost rate by 0.5 g/(kW ·h), thus reducing the energy cost.

Key words: thermal power plant, load, optimized dispatching, supervisory information system , layered fuzzy ge-netic algorithm