Optimum operation planning of wind farm using forecasted power data of wind turbine generators considering forecasted error

Autor: Endusa Billy Muhando, Tomonobu Senjyu, Toshihisa Funabashi, Kazuki Ogimi, Chul-Hwan Kim, Atsushi Yona
Rok vydání: 2011
Předmět:
Zdroj: 8th International Conference on Power Electronics - ECCE Asia.
DOI: 10.1109/icpe.2011.5944396
Popis: In order to solve problems of global warming and depletion of energy resource, renewable energy systems such as wind generation is getting attention. In this optimal operation method, we introduce forecasted output power data of wind turbine generator which is calculated from Grid Point Value (GPV) data of wind speed. And we are considering forecasted error in GPV data. The optimization target is smoothed the output power fluctuation of a wind farm (WF) and is aimed to obtain more benefit for electric power selling. The optimization method uses tabu search (TS).
Databáze: OpenAIRE