2017 : Dynamic OPF considering different charging and discharging cost of energy storage using mixed-integer quadratic programming
Prof. Dr. Ontoseno Penangsang Ir. M.Sc.
Ir. Sri Pingit Wulandari M.Si.
Rony Seto Wibowo ST., MT.
This paper presents a study about optimization in microgrid with energy storage. The development of technology makes it possible for energy storage utilization as solution for energy management problem due to renewable integration. The ability of energy storage to store and supply power can be used to solve intermittency problem of renewable energy. Furthermore, the possibility of energy storage integration to make profit is researched deeper by considering charging and discharging cost. The DC Optimal Power Flow calculation is done to optimize the system with energy storage using Mixed-Integer Quadratic Programming. The output of this research are generation power and energy storage power in each period with minimum generation cost and the effect of different charging and discharging cost towards it.