DocumentCode :
3580007
Title :
Optimal schedule of photovoltaic-battery hybrid system at demand side
Author :
Zhou Wu ; Tazvinga, Henerica ; Xiaohua Xia
Author_Institution :
Dept. of Electr., Univ. of Pretoria, Hatfield, UK
fYear :
2014
Firstpage :
553
Lastpage :
558
Abstract :
Renewable hybrid systems, which can generate power from solar or wind with low cost, is commonly installed in remote areas. When some areas get grid connection, customers installed the hybrid system can earn cost savings if taking part in demand response programs. In this paper an optimal energy management for a grid connected photovoltaic-battery hybrid system is proposed to sufficiently utilize the solar energy and to optimally dispatch the power flow under into the time-of-use program. The management of power flow aims to minimize electricity bills subject to a number of constraints, such as demand balance, solar energy, and battery capacity. An optimal control method (open-loop) is developed to schedule the power flows of the hybrid system over 24 hours. As shown in results, optimal solution of scheduling the hybrid system can be obtained with great bill savings.
Keywords :
battery management systems; demand side management; hybrid power systems; load flow; open loop systems; optimal control; power generation control; power generation dispatch; power generation economics; power grids; solar cells; wind power; cost saving; demand response program; demand side photovoltaic-battery hybrid system optimal scheduling; electricity bill minimization; open-loop control; optimal control method; optimal energy management; power flow optimal dispatch; power flow scheduling; power grid connection; renewable hybrid system; solar power generation; time-of-use program; wind power generation; Batteries; Electricity; Hybrid power systems; Optimal scheduling; Power generation; Radiation effects; System-on-chip; demand response; distributed generation; energy management; optimal control; renewable energy; solar energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
Type :
conf
DOI :
10.1109/ICARCV.2014.7064364
Filename :
7064364
Link To Document :
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