考虑热电联产机组灵活性的日前调度策略  

Day-ahead Scheduling Strategy Considering Flexibility of CHP Units

作　　者：焦晓峰[1] 魏超[1] 胡宏彬[1] 樊泽国[1] 张利慧 JIAO Xiaofeng;WEI Chao;HU Hongbin;FAN Zeguo;ZHANG Lihui(Inner Mongolia Electric Power Research Institute,Hohhot 010020,Nei Monggol,China)

机构地区：[1]内蒙古电力科学研究院,内蒙古呼和浩特010020

出　　处：《电气传动》2023年第2期67-72,共6页Electric Drive

摘　　要：随着我国电力现货市场建设进程的加快,为了解决北方地区热-电不匹配问题,以热电联产机组参与日前市场竞价为背景,讨论了某灵活的热电联产电厂的两种不同的日前竞价策略。该电厂的组合包括多个热电联产机组、一个储热装置、燃气锅炉和一个电锅炉。第一种策略依赖于两阶段的随机优化,它使用电价和热负荷的方案作为输入。第二种“平价”策略采用电价和热负荷的确定性预测。通过连续模拟日前竞价参与和后续电厂运行情况,对两种策略在北方某城市2019年4个月的数据进行了评估。两种策略均以标准参数优化为基准。与平均竞价方案相比,随机优化降低了成本,但却需要过多的计算时间。With the acceleration of my country’ s power spot market construction process,in order to solve the problem of heat-electricity mismatch in the northern region,two different day-ahead scheduling strategies of a flexible co-generation plant based on the participation of cogeneration units in the day-ahead market bidding were discussed. The combination of the power plant included multiple combined heat and power units,a heat storage device,a gas boiler and an electric boiler. The first strategy relied on a two-stage stochastic optimization,which used a scheme of electricity price and heat load as input. The second "parity" strategy used deterministic forecasts of electricity prices and heat load. The four-month data of the two strategies in a northern city in 2019 was evaluated by continuously simulating the participation in the bidding before the day and the operation of the subsequent power plants. Both strategies were based on standard parameter optimization. Compared with the average bidding scheme,stochastic optimization reduces the cost,but it requires much more calculation time.

关 键 词：概率预测 竞价策略 热电联产 不确定模型 随机优化 

分 类 号：TM46[电气工程—电器] TM28[一般工业技术—材料科学与工程]