TY - GEN
T1 - A Novel Methodology to Determine the Maximum PV Penetration in Distribution Networks
AU - Ul Abideen, Mohammad Zain
AU - Ellabban, Omar
AU - Refaat, Shady S.
AU - Abu-Rub, Haitham
AU - Al-Fagih, Luluwah
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Recently, there has been an increase in the interest surrounding the integration of solar photovoltaic (PV) systems in the low voltage (LV) distribution network. This is due to many benefits, such as low generation costs, high efficiency, scalability, etc. However, large PV penetration at the distribution network can cause voltage levels to rise beyond the acceptable limits of the grid codes. Large amount of losses can also occur due to the reverse power flow resulting from the high penetration level of distributed PV generation units integrated into the distribution network. In this paper, a novel methodology based on a gradual increase in the PV penetration level is presented to determine the maximum PV penetration level in the LV distribution networks. PV penetration is defined as the ratio of the peak PV active generation to the peak active demand of the load. The IEEE European LV test feeder has been used as a test case to validate the proposed methodology. Real PV and load data, from residential customers in Ausgrid's electricity network, New South Wales (NSW), Australia, has been used to generate seasonal and worst-case PV generation and load profiles. The PV penetration in the network is increased to find the levels at which the voltage violations occur. PV penetration level with the minimum losses throughout the year is considered as the maximum acceptable level. Various analyses of real data have been used to find the optimal maximum level of PV penetration at the distribution network level.
AB - Recently, there has been an increase in the interest surrounding the integration of solar photovoltaic (PV) systems in the low voltage (LV) distribution network. This is due to many benefits, such as low generation costs, high efficiency, scalability, etc. However, large PV penetration at the distribution network can cause voltage levels to rise beyond the acceptable limits of the grid codes. Large amount of losses can also occur due to the reverse power flow resulting from the high penetration level of distributed PV generation units integrated into the distribution network. In this paper, a novel methodology based on a gradual increase in the PV penetration level is presented to determine the maximum PV penetration level in the LV distribution networks. PV penetration is defined as the ratio of the peak PV active generation to the peak active demand of the load. The IEEE European LV test feeder has been used as a test case to validate the proposed methodology. Real PV and load data, from residential customers in Ausgrid's electricity network, New South Wales (NSW), Australia, has been used to generate seasonal and worst-case PV generation and load profiles. The PV penetration in the network is increased to find the levels at which the voltage violations occur. PV penetration level with the minimum losses throughout the year is considered as the maximum acceptable level. Various analyses of real data have been used to find the optimal maximum level of PV penetration at the distribution network level.
KW - Case study
KW - Distribution network
KW - IEEE European LV test feeder
KW - Low Voltage (LV) level
KW - PV penetration limit
UR - http://www.scopus.com/inward/record.url?scp=85082302244&partnerID=8YFLogxK
U2 - 10.1109/SGRE46976.2019.9020948
DO - 10.1109/SGRE46976.2019.9020948
M3 - Conference contribution
AN - SCOPUS:85082302244
T3 - 2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 - Proceedings
BT - 2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019
Y2 - 19 November 2019 through 21 November 2019
ER -