1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108; 2. State Grid Fujian Power-Dispatch & Control Center, Fuzhou 350003
Abstract：This paper uses two methods of holistic analysis and subnet-accumulation to analyze the temperature-lowering load of Fujian province, based on the historical load data of Fujian power network. Firstly, the typical temperature-lowering load curves are analyzed to reveal the characteristic of temperature-lowering load. Secondly, the author establishes sensitive regression models between the temperature-lowering load and the temperature, and obtains the law that the temperature-lowering load is influenced by temperature. Finally, the annual maximum high-temperature related load is calculated by the method of monadic regression analysis. Practical examples show that subnet-accumulation means has the high feasibility and accuracy in the research of temperature-lowering load.
2015, Vol. 16 
