Title :
Electrical load schedule optimization for manufacturing plants
Author :
Fei Hu ; Jianrong Qin ; Jiacun Wang
Author_Institution :
Monmouth Univ., West Long Branch, NJ, USA
Abstract :
Energy usage is one of the inevitable operation costs in industrial production. In order to prevent large expense on energy, several approaches have been proposed for the manufacture plants in the past decades, one of which is through load management, that is, carefully scheduling operation hours of devices to minimize the electricity cost based on the volatile electricity price offered by the utility and their production process. With this approach, manufacturing plants do not reduce the electrical consumption, but reduce energy cost. In the paper, we apply evolutionary strategy to the electric load management to search for an optimal schedule of devices without adversely affecting production. A software application has been developed to compute optimal schedule for a given load.
Keywords :
cost reduction; load management; manufacturing industries; optimisation; electric load management; electrical consumption reduction; electrical load schedule optimization; electricity cost minimization; evolutionary strategy; industrial production; manufacturing plants; volatile electricity price; Matrix converters; Schedules; Sociology; Statistics; Power useage; hybrid genetic algorithm; load management; scheduling;
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2014 IEEE 11th International Conference on
Conference_Location :
Miami, FL
DOI :
10.1109/ICNSC.2014.6819591