Title :
Solution quality analysis on predictive economic dispatch with time
Author :
Dingguo Chen ; Lu Wang ; Kumar, Sudhakar
Author_Institution :
Siemens Energy Inc., Minnetonka, MN, USA
Abstract :
As an important AGC function, Economic Dispatch (ED) dispatches generating units based on real-time snapshot conditions in the most economical manner, Predictive Economic Dispatch with Time (PED) issues dispatch instructions to move generating units to meet the current and future net load demands based on “predicted” conditions. The effectiveness of the dispatch instructions is entirely determined by the accuracy of the “predicted” conditions, which in turn largely depend on two things in the smart grid environment: the accuracy of projected load over the dispatch horizon; and the accuracy of the projected renewable generation. This paper proposes to make use of perturbation analysis on the solution obtained and makes recommendations as to how to best utilize the capability of PED to produce the dispatch instructions that consider economics, forecast inaccuracies, and practical usefulness.
Keywords :
load forecasting; perturbation techniques; power generation dispatch; power generation economics; power supply quality; smart power grids; AGC function; PED; dispatch horizon; dispatch instructions; generating units; net load demands; perturbation analysis; predicted conditions; predictive economic dispatch with time; projected load; projected renewable generation; real-time snapshot conditions; smart grid environment; Economics; Educational institutions; Market research; Sensitivity; Uncertainty; Wind forecasting; Wind power generation; Automatic Generation Control (AGC); Economic Dispatch (ED); Perturbation Analysis; Predictive Economic Dispatch (PED); Renewable Energy Resources; Smart Grid; Very Short Term Load Prediction (VSTLP);
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
DOI :
10.1109/PESGM.2014.6939353