TY - GEN
T1 - Optimal WT, PV and BES based Energy Systems for Standalone Households in South Australia
AU - Khezri, Rahmat
AU - Mahmoudi, Amin
AU - Haque, Mohammed H.
PY - 2019/11/28
Y1 - 2019/11/28
N2 - This paper investigates the capacity optimization of three different renewable-based systems for standalone households in South Australia. Solar photovoltaic (PV), wind turbine (WT) and battery energy storage (BES) are the main components for such systems. Three selected configurations of the system are: PV with battery, WT with battery, and PV-WT with battery. Optimal capacity of each component is determined through an optimization process by considering the system net present cost as an objective function. The optimization is based on the one-year hourly real data of load consumption, wind speed, solar insolation and air temperature of a remote area. Capacities of the system components are first optimized for a case of uninterruptible supply of the load consumption. It is demonstrated that such a system results in high cost and large capacity of energy storage. Two strategies are then proposed to reduce the components capacities and hence the total system cost. The first strategy is to reduce the peak demands manually. In the second strategy, loss of power supply probability is used as a reliability index to reduce the capacity of the components and the total cost substantially. Sensitivity analysis are also carried out based on the component's capital cost and daily average load consumption for the optimum configuration. Annual operational results are presented and discussed for the optimal configuration.
AB - This paper investigates the capacity optimization of three different renewable-based systems for standalone households in South Australia. Solar photovoltaic (PV), wind turbine (WT) and battery energy storage (BES) are the main components for such systems. Three selected configurations of the system are: PV with battery, WT with battery, and PV-WT with battery. Optimal capacity of each component is determined through an optimization process by considering the system net present cost as an objective function. The optimization is based on the one-year hourly real data of load consumption, wind speed, solar insolation and air temperature of a remote area. Capacities of the system components are first optimized for a case of uninterruptible supply of the load consumption. It is demonstrated that such a system results in high cost and large capacity of energy storage. Two strategies are then proposed to reduce the components capacities and hence the total system cost. The first strategy is to reduce the peak demands manually. In the second strategy, loss of power supply probability is used as a reliability index to reduce the capacity of the components and the total cost substantially. Sensitivity analysis are also carried out based on the component's capital cost and daily average load consumption for the optimum configuration. Annual operational results are presented and discussed for the optimal configuration.
KW - Battery energy storage
KW - Capacity optimization
KW - Levelised cost of electricity
KW - Net present cost
KW - Renewable energy
KW - Standalone households
UR - http://www.scopus.com/inward/record.url?scp=85076782257&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2019.8911902
DO - 10.1109/ECCE.2019.8911902
M3 - Conference contribution
T3 - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
SP - 3475
EP - 3482
BT - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
PB - Institute of Electrical and Electronics Engineers
T2 - 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Y2 - 29 September 2019 through 3 October 2019
ER -
