TY - GEN
T1 - Optimal capacity of PV and BES for grid-connected 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 optimal capacities of solar photovoltaic (PV) and battery energy storage (BES) for grid-connected households in South Australia. The optimisation is based on the net present cost of the electricity in a 20-year lifespan. Real data of load pattern, solar insolation and temperature at hourly interval as well as the electricity rates (retail price and feed-in-tariff) of South Australia are used in this study. Three different configurations with appropriate rule-based home energy management are proposed. Optimal capacities of the PV and BES are found in each configuration based on four different scenarios of PV capacity limited by the availability of roof size. The maximum export power limitations for South Australian households is considered for the optimization. The cost of electricity (¢/kWh) is selected as an index for comparison between the proposed systems. It is found that the proposed optimal system can be more beneficial for the households with lower electricity consumption. The study examines the sensitivity of the results to the average load consumption and costs of PV and battery. Annual load, PV power, battery charging/discharging, dumped energy, state-of- charge of battery as well as the grid export/import power are shown and discussed. The optimal system is compared with a zero net energy home in South Australia. A general guideline is demonstrated for the customers to purchase the optimal capacities of PV and BES.
AB - This paper investigates the optimal capacities of solar photovoltaic (PV) and battery energy storage (BES) for grid-connected households in South Australia. The optimisation is based on the net present cost of the electricity in a 20-year lifespan. Real data of load pattern, solar insolation and temperature at hourly interval as well as the electricity rates (retail price and feed-in-tariff) of South Australia are used in this study. Three different configurations with appropriate rule-based home energy management are proposed. Optimal capacities of the PV and BES are found in each configuration based on four different scenarios of PV capacity limited by the availability of roof size. The maximum export power limitations for South Australian households is considered for the optimization. The cost of electricity (¢/kWh) is selected as an index for comparison between the proposed systems. It is found that the proposed optimal system can be more beneficial for the households with lower electricity consumption. The study examines the sensitivity of the results to the average load consumption and costs of PV and battery. Annual load, PV power, battery charging/discharging, dumped energy, state-of- charge of battery as well as the grid export/import power are shown and discussed. The optimal system is compared with a zero net energy home in South Australia. A general guideline is demonstrated for the customers to purchase the optimal capacities of PV and BES.
KW - Battery energy storage
KW - Capacity optimization
KW - Cost of electricity
KW - Grid-connected households
KW - Net present cost
KW - Rooftop PV
UR - http://www.scopus.com/inward/record.url?scp=85076767264&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2019.8913055
DO - 10.1109/ECCE.2019.8913055
M3 - Conference contribution
T3 - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
SP - 3483
EP - 3490
BT - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Y2 - 29 September 2019 through 3 October 2019
ER -