Title :
Hierarchical Demand Response using Dantzig-Wolfe decomposition
Author :
McNamara, Paul ; McLoone, S.
Author_Institution :
Dept. of Electron. Eng., Dynamics & Control Res. Group, Nat. Univ. of Ireland Maynooth, Maynooth, Ireland
Abstract :
Demand Side Management (DSM) programmes are designed to shift electrical loads from peak times. Demand Response (DR) algorithms automate this process for controllable loads. DR can be implemented explicitly in terms of Peak to Average Ratio Reduction (PARR), in which case the maximum peak load is minimised over a prediction horizon by manipulating the amount of energy given to controllable loads at different times. A hierarchical predictive PARR algorithm is presented here based on Dantzig-Wolfe decomposition.
Keywords :
demand side management; DR algorithms; DSM programmes; Dantzig-Wolfe decomposition; controllable loads; demand side management programmes; electrical loads; hierarchical demand response; hierarchical predictive PARR algorithm; peak to average ratio reduction; prediction horizon; Home appliances; Load modeling; Optimization; Peak to average power ratio; Privacy; Smart grids; Vectors;
Conference_Titel :
Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
Conference_Location :
Lyngby
DOI :
10.1109/ISGTEurope.2013.6695269
