TY - GEN
T1 - Optimal operation of smart grid in isolated island
AU - Asato, Bungo
AU - Goya, Tomonori
AU - Uchida, Kosuke
AU - Yona, Atsushi
AU - Senjyu, Tomonobu
AU - Funabashi, Toshihisa
AU - Kim, Chul Hwan
PY - 2010
Y1 - 2010
N2 - From the perspective of global warming suppression and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic facility (PV) are getting attention in distribution systems. On the other hand, the introduction of an all-electric house is increasing in the world. So the controllable load such as electric water heater, heat pump, and electric vehicles are introduced to the power system. In addition, controllable load such as electric water heater, heat pump, and electric vehicles could accomplish to shift the high demand in daytime to the low demand in nighttime and it is effective method for leveling the load and upgrading the load factor. The authors propose an optimization approach to determine operational planning of WG, PV facility, diesel generator (DG), and battery energy storage system (BESS). In this optimization approach, it is assumed that forecast data of wind speed, solar insolated, and load demand are available. The proposed method uses tabu search and genetic algorithm for optimization method. Optimizing procedure is divided by two patrs. Firstly, actual load is controlled by controllable load. Secandly, the schedule of diesel generator units commitment problem is decided in the revised load. The simulation results show the reduction of operational cost.
AB - From the perspective of global warming suppression and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic facility (PV) are getting attention in distribution systems. On the other hand, the introduction of an all-electric house is increasing in the world. So the controllable load such as electric water heater, heat pump, and electric vehicles are introduced to the power system. In addition, controllable load such as electric water heater, heat pump, and electric vehicles could accomplish to shift the high demand in daytime to the low demand in nighttime and it is effective method for leveling the load and upgrading the load factor. The authors propose an optimization approach to determine operational planning of WG, PV facility, diesel generator (DG), and battery energy storage system (BESS). In this optimization approach, it is assumed that forecast data of wind speed, solar insolated, and load demand are available. The proposed method uses tabu search and genetic algorithm for optimization method. Optimizing procedure is divided by two patrs. Firstly, actual load is controlled by controllable load. Secandly, the schedule of diesel generator units commitment problem is decided in the revised load. The simulation results show the reduction of operational cost.
KW - Controllable load
KW - Genetic algorithm
KW - Optimal operation
KW - Tabu search
UR - https://www.scopus.com/pages/publications/79951616182
U2 - 10.1109/IPECON.2010.5696987
DO - 10.1109/IPECON.2010.5696987
M3 - Conference contribution
AN - SCOPUS:79951616182
SN - 9781424473991
T3 - 2010 9th International Power and Energy Conference, IPEC 2010
SP - 1100
EP - 1105
BT - 2010 9th International Power and Energy Conference, IPEC 2010
T2 - 2010 9th International Power and Energy Conference, IPEC 2010
Y2 - 27 October 2010 through 29 October 2010
ER -
