With the deregulation of the electric power industry, electricity price forecasting plays an increasingly important role in electricity markets, especially for retailors and investment decision making. Month ahead ave...With the deregulation of the electric power industry, electricity price forecasting plays an increasingly important role in electricity markets, especially for retailors and investment decision making. Month ahead average daily electricity price profile forecasting is proposed for the first time in this paper. A hybrid nonlinear regression and support vector machine(SVM) model is proposed. Offpeak hours, peak hours in peak months and peak hours in off-peak months are distinguished and different methods are designed to improve the forecast accuracy. A nonlinear regression model with deviation compensation is proposed to forecast the prices of off-peak hours and peak hours in off-peak months. SVM is adopted to forecast the prices of peak hours in peak months. Case studies based on data from ERCOT validate the effectiveness of the proposed hybrid method.展开更多
近年来,美国得克萨斯州电力可靠性委员会(electricreliability council of Texas,ERCOT)在风电调度运行管理方面积累了丰富经验。该地区电网风电发展迅猛,风电装机容量位居美国各州首位。主要介绍了在ERCOT地区电网电力市场模式下风电...近年来,美国得克萨斯州电力可靠性委员会(electricreliability council of Texas,ERCOT)在风电调度运行管理方面积累了丰富经验。该地区电网风电发展迅猛,风电装机容量位居美国各州首位。主要介绍了在ERCOT地区电网电力市场模式下风电的功率预测、日前和实时调度运行以及ERCOT地区电网应对风电紧急事件的实例,并对我国可借鉴的ERCOT地区电网调度运行风电经验进行了总结。展开更多
基金supported by National Natural Science Foundation of China(No.51537005)State Grid Corporation of China ‘‘Research on the model and application of power supply and demand technology under the market trading environment’’
文摘With the deregulation of the electric power industry, electricity price forecasting plays an increasingly important role in electricity markets, especially for retailors and investment decision making. Month ahead average daily electricity price profile forecasting is proposed for the first time in this paper. A hybrid nonlinear regression and support vector machine(SVM) model is proposed. Offpeak hours, peak hours in peak months and peak hours in off-peak months are distinguished and different methods are designed to improve the forecast accuracy. A nonlinear regression model with deviation compensation is proposed to forecast the prices of off-peak hours and peak hours in off-peak months. SVM is adopted to forecast the prices of peak hours in peak months. Case studies based on data from ERCOT validate the effectiveness of the proposed hybrid method.
文摘近年来,美国得克萨斯州电力可靠性委员会(electricreliability council of Texas,ERCOT)在风电调度运行管理方面积累了丰富经验。该地区电网风电发展迅猛,风电装机容量位居美国各州首位。主要介绍了在ERCOT地区电网电力市场模式下风电的功率预测、日前和实时调度运行以及ERCOT地区电网应对风电紧急事件的实例,并对我国可借鉴的ERCOT地区电网调度运行风电经验进行了总结。