考虑多影响因素的全厂机组间热电负荷动态优化分配方法研究  

Study on Dynamic Optimum Distribution Method of Thermal and Electrical Load of Whole Power Plant Units Considering Multiple factors

作　　者：叶青 万杰[2,3] 居国腾 赵佳骏 沈伟军 姚坤 YE Qing;WAN Jie;JU Guo-teng;ZHAO Jia-jun;SHEN Wei-jun;YAO Kun(Zhejiang Zheneng Shaoxing Binhai Thermal Power Co.,Ltd.,Shaoxing 312073,China;Postdoctoral Research Station of Electrical Engineering,Harbin Institute of Technology,Harbin 150001,China;Department of Electrical and Electronic Engineering,HKU,Hong Kong 999077,China;Zhejiang Zheneng technology institute Co.,Ltd.,Hangzhou 310052,China)

机构地区：[1]浙江浙能绍兴滨海热电有限责任公司,浙江绍兴312073 [2]哈尔滨工业大学电气工程博士后流动站,黑龙江哈尔滨150001 [3]香港大学电机与电子工程系,香港999077 [4]浙江浙能技术研究院有限公司,浙江杭州310052

出　　处：《节能技术》2018年第6期489-493,共5页Energy Conservation Technology

基　　金：浙江省能源集团有限公司科技项目(ZNKJ2017003);黑龙江省博士后基金项目(LBH-Z17067);国家重点研发计划项目(2016YFB0901903)

摘　　要：大功率抽汽机组鉴于其高效性而被广泛应用,机组间的热电负荷分配优化对全厂运行经济性影响很大。针对拥有多台50 MW背压机组和两台330 MW亚临界机组的特有热电联产配置及运行方式,提出并研究了一种考虑多影响因素的热电负荷动态优化分配方法。首先,在出厂设计耗差修正曲线基础上,利用实际运行大数据及先验知识获取了机组实际耗差曲线函数集;并且,利用各工况下的耗差曲线和热耗曲线,获取机组全工况下的耗差曲线函数集;然后,在选取传统热耗率作为优化指标的基础上,通过改进遗传算法实现了热电负荷分配的动态优化计算。最终,利用厂内PI数据库,建立了可用于全厂机组实时经济运行的在线监测及决策支持系统。机组实际运行数据进行计算对比结果显示,优化后的全厂平均可降低1 g/k Wh的煤耗。所以,相对机组原有平均分配的粗略运行人工指导策略,可以进一步改善全厂机组的安全高效环保变负荷运行性能。High power extraction units is widely used for its high efficiency.The distribution optimization of thermal and electrical loads among units has great influence on the whole plant’s operation economy.A dynamic optimization distribution method of thermal and electrical loads considering multiple influencing factors is proposed and studied for the special cogeneration configuration and operation mode with several 50 MW back-pressure units and two 330 MW sub-critical units.Firstly,on the basis of the factory designed consumption correction curves,the actual unit consumption curve function sets are obtained by big data of units’actual operation and priori knowledge.Moreover,the units’thermal curve function sets for whole working condition was obtained by the consumption curve and the thermal curve for every working condition.Then,selecting the traditional heat consumption rate as the optimization index,the dynamic optimization calculation for thermal and electrical load distribution is realized by using the improved genetic algorithm.Finally,an on-line monitoring and decision support system for real-time economic operation of the whole plant was established by using PI database existing in plant.The calculation results of actual operation data of the unit show that the average coal consumption of 1 g/kWh can be reduced after optimization.Therefore,compared with the crude operation manual guidance strategy of the original average allocation of units,the safe,efficient and environmentally friendly operation performance of the entire unit can be further improved.

关 键 词：抽汽机组 热电负荷 多影响因素 动态分配 综合优化 决策支持系统 

分 类 号：TM621[电气工程—电力系统及自动化]