RUAN Bingjie, YANG Qiang, YAN Wenjun

 

(College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

 

 

Abstract: 

Aiming at addressing the challenge induced by the stochastic and intermittent feature of the distributed generation (DG) resources, which barely can meet the demand of all domestic equipment at any time, load control was studied to appropriately schedule the flexible loads′ working periods to meet with the DG power supply at the demand side, and storage control was proposed to allocate the battery′s charging/discharging behaviors to redistribute the DG resources at the supply side. Finally, an energy optimization control algorithm was implemented through adopting an improved genetic algorithm (GA), which establishes multiobjective integer programming problem aiming to decrease the purchase cost and seek the balance between power supply and demand, and demand response for domestic energy system was tested on the Matlab simulation platform. The result demonstrates that the energy optimization control algorithm can well manage the domestic energy to meet the demand requirement with significantly improved resource utilization efficiency and reduced purchase cost, and the system is with quick response and high reliability.

 

Key words: demand response; genetic algorithm; load control; storage control