WEI Qi, LI Shi-nan, ZHU Ying-ying. Improved Particle Swarm Optimization Algorithm Optimize the Control Strategy of Family Energy Management System[J]. 2018, 23(2): 70-77.
DOI:
WEI Qi, LI Shi-nan, ZHU Ying-ying. Improved Particle Swarm Optimization Algorithm Optimize the Control Strategy of Family Energy Management System[J]. 2018, 23(2): 70-77.DOI: 10.15938/j.jhust.2018.02.013.
Improved Particle Swarm Optimization Algorithm Optimize the Control Strategy of Family Energy Management System
In order to better respond accding to the demand of TOU price control project management of family family load and energy,put forward the household electricity load control strategy,based on analysis of the existing household electricity load control strategies,using improved particle swarm optimization algorithm for the control strategy optimization target,the establishment of a single-user,multi-user household electricity control optimization model,In the MATLAB platform,the results of optimization algorithm are analyzed by simulation. The results show that use improved particle swarm optimization control strategy proposed can achieve the effect of saving electric power and cutting the peak and filling valley whether it is a single-user or multi-user average.
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