Abstract
Optimization of renewable distributed generation's (DGs) uncertainty can make the profit of electricity market more certain. Struggles are continuously in progress to develop the tools for accurate prediction of power output from renewable DGs. This paper presents an uncertainty analysis method for optimal day-ahead power dispatch of islanded microgrid (MG) based on net demand forecasting method. Firstly a multiobjective optimization algorithm has developed to optimally place and size the DGs. Then wind power uncertainty is handled and analyzed under the stochastic programming. Optimal power dispatch strategy has been performed for islanded microgrid. IEEE 33-bus standard test system has been converted into microgrid with the integration of wind power and conventional DGs.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
