Title :
Risk limiting dispatch of wind power
Author :
Rajagopal, Ram ; Bitar, Eilyan ; Wu, Feng ; Varaiya, Pravin
Author_Institution :
Dept. of Civil & Environ. Eng., Stanford Univ., Stanford, CA, USA
Abstract :
Integrating wind and solar power into the grid requires dispatching various types of reserve generation to compensate for the randomness of renewable power. The dispatch is usually determined by a system operator (SO) or an aggregator who `firms´ variable energy by bundling it with conventional power. The optimal dispatch is formulated as the solution to a stochastic control problem and shown to have a closed form that can be quickly computed. Different objectives and risk constraints can be included in the formulation and trade-offs can be evaluated. In particular one can quantify the influence of sequential forecasts on the total integration cost and the choice of dispatched generation. When the forecast error is Gaussian, the optimal dispatch policy can be precomputed.
Keywords :
distributed power generation; load forecasting; optimal control; power generation control; power generation dispatch; power grids; risk analysis; solar power stations; stochastic systems; wind power plants; dispatched generation choice; optimal dispatch policy; renewable power randomness compensation; reserve generation; risk constraints; risk limiting dispatch; sequential forecasts; solar power; stochastic control problem; system operator; total integration cost; variable energy; wind power; Contracts; Limiting; Marketing and sales; Real-time systems; Standards; Wind forecasting; Wind power generation;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315239