期刊文献+

电价波动的二阶矩和三阶矩特性研究 被引量:1

Second and Third Moment Volatility Characteristics of Electricity Price
原文传递
导出
摘要 电价的分布特性是电力市场风险管理和电力金融产品定价的重要依据。在对电力市场现货电价的变动规律综合分析的基础上,使用时变方差、时变偏度和正弦函数来刻画电价序列的二阶矩、三阶矩和多重周期性,建立了一个基于正态分布概率密度函数的Gram-Charlier展开的多周期GARCH-M模型,可同时计及电价序列的趋势变化、多重周期、二阶矩、三阶矩及其与负荷之间的相关性。对PJM电力市场历史数据的分析表明:时变方差和系统负荷平方对电价均值具有显著影响。 The distribution properties of electricity prices are the important information for the risk management of electricity markets and the pricing of electricity financial derivatives. With the comprehensive consideration of the changing rules of the electricity spot price, a multicycle GARCH-M model based on Gram-Charlier series expansion of the normal density function is proposed, in which the second moment, third moment and muhicycle of electricity price series are described by time-varying variance, time-varying skewness and sine function. The changing trend, volatility of second and third moments, multicycle and the relationship among load and spot price can be fully taken into account. The numerical example based on the historical data of the PJM market shows that time-varying variance and the system load square have a significant effect on the mean electricity prices.
出处 《华东电力》 北大核心 2011年第11期1853-1857,共5页 East China Electric Power
基金 国家自然科学基金项目(70871074) 河南省教育厅自然科学研究计划项目(2010B120002)~~
关键词 Gram-Charlier展开 二阶矩 三阶矩 GARCH-M模型 Gram-Charlier expansion second moment third moment GARCH-M model
  • 相关文献

参考文献18

  • 1陈思杰,周浩.电力市场电价预测方法综述[J].继电器,2006,34(11):54-60. 被引量:30
  • 2SZKUTA B R, SANABRA L A, DILLON T S. Electricity price short-term forecasting using artificial neural networks [J]. IEEE Trans on Power Systems, 1999, 14(3): 851- 857.
  • 3CATALAO J P S, MARIANO S J P S, MENDES V M F, et al. Short-term electricity prices forecasting in a competitive market : a neural network approach [ J ]. Electric Power Sys- tem Research, 2007, 77(10) : 1297-1304.
  • 4GUO J J, PETER B L. Selecting input factors for clusters of Gaussian radial basis function networks to improve market clearing price prediction[J]. IEEE Trans on Power Systems, 2003, 18(2) : 665-672.
  • 5张显,王锡凡,陈芳华,叶斌,陈皓勇.分时段短期电价预测[J].中国电机工程学报,2005,25(15):1-6. 被引量:60
  • 6HONG Y Y, HSIAO C Y. Locational marginal price forecas- ting in deregulated electricity markets using artificial intelli- gence[ J]. lEE Proc. on Gener. Transm. Distrib., 2002, 149(5): 621-626.
  • 7CLAUDIA P R, GEORGE J A. Energy price forecasting in the Ontario competitive power system market[ J ]. IEEE Trans on Power Systems, 2004, 19(1 ): 366-374.
  • 8ZHANG Li, PETER B L. Neural network-based market cleating price prediction and confidence interval estimation with an improved extended Kalman filter method [ J ]. IEEE Trans on Power Systems, 2005, 20(1 ) : 59-66.
  • 9AMJADY N. Day-ahead price forecasting of electricity mar- kets by a new fuzzy neural network[ J]. IEEE Trans on Power Systems, 2006, 21 (2): 887-986.
  • 10FAN S, MAO C, CHEN L. Next-day electricity price fore- casting using a hybrid network [ J ]. IEE Proc. On Gener.Transm. Distrib. , 2007, 1 (1) : 176-182.

二级参考文献67

共引文献148

同被引文献22

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部