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作 者:陈建华[1] 周浩[1] 韩祯祥[1] 王冬明[2] 孙维真[2] 高国宁[2]
机构地区:[1]浙江大学电气工程学院,浙江杭州310027 [2]浙江省电力调度通信中心,浙江杭州310007
出 处:《浙江大学学报(工学版)》2005年第6期915-920,共6页Journal of Zhejiang University:Engineering Science
摘 要:为了分析和监控电力市场中发电商的报价行为,提出了基于报价数据的量价指数(CPI)方法.该方法结合系统平均发电成本和容量价格对,定义CPI为段容量标么值的加权和.基于国内某省电力市场的实际报价数据,分析了机组的时段、日和月的报价行为,并比较了市场中所有竞价机组和系统平均量价指数值的大小.考虑机组典型的报价数据,给出了正常报价时量价指数的阈值.分析结果表明,CPI方法能够灵敏地反映发电商异常高报价、有效地发现发电商的经济持留行为,还可以准确反映发电商短期报价行为和长期报价策略的变化.For analyzing and monitoring bidding behavior of power suppliers in wholesale electricity markets, a capacity and price index (CPI) method on generators' bid data was proposed. By combining with average system generation costs and bid pairs of quantity and price, CPI was defined as the price-weighted sum of normalized value of all blocks capacity. On the basis of actual operating bid data from a certain provincial electricity market in China, the bidding behavior of some generators in a trading period, day and month was analyzed, and CPI values of all bidding generators were compared with average system CPI comprehensively. Considering the bid formats of some typical units, the CPI threshold was derived from the ideal condition where power suppliers submit general bid curves. The calculation results show that CPI method can sensitively reflect abnormally high bidding periods of generator and detect generators' economic suspicious behavior effectively. CPI method indicates the short-term changes of generators' bidding behavior accurately and changes of long-term bidding strategies.
分 类 号:TM732[电气工程—电力系统及自动化] F407.61[经济管理—产业经济]
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