Title :
Intermittency indexes for renewable energy resources
Author :
Lu Wang ; Hongming Zhang ; Dingguo Chen
Author_Institution :
Power Technol. Int., Siemens Energy Inc., Houston, TX, USA
Abstract :
With smart grids being developed world-wide in the power industry, more and more renewable energy resources are connected into power grids. Renewable energy resources are intermittent in nature. This paper proposes indexes that measure the intermittency of renewable energy resources. The indexes are defined based on the dynamic simulation results on the system where the renewable energy resources are connected. The indexes give system operators a sense that how intermittent a renewable energy resource is. They also can be used as the requirements regulating connection of renewable energy resources. Field wind farm and solar panel generation data are used to calculate the indexes. Results are discussed and conclusions are made.
Keywords :
electricity supply industry; renewable energy sources; smart power grids; solar power stations; wind power plants; dynamic simulation; field wind farm; intermittency indexes; power grids; power industry; renewable energy resources; smart grids; solar panel generation data; Automatic generation control; Educational institutions; Indexes; Load modeling; Power system dynamics; Renewable energy sources; Wind farms; Automatic Generation Control (AGC); Energy Management System (EMS); Intermittency; Renewable energy resources; dynamic models; extended term dynamic simulation; smart grids;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672651