DOI : https://doi.org/10.18517/ijaseit.7.4.2286

A Strategic Approach Using Representative LV Networks in the Assessment of Technical Losses on LV Network with Solar Photovoltaic

Jun Huat Tang (1), Mau Teng Au (2), Hussain Shareef (3), A.M. Busrah (4)
(1) Distribution Research Group, TNB Research Sdn Bhd, No. 1, Lorong Ayer Itam, Selangor, 43000, Malaysia
(2) Institute of Power Engineering, Univeriti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia
(3) Department of Electrical Engineering, U.A.E University, Al-Ain, United Arab Emirates
(4) Distribution Research Group, TNB Research Sdn Bhd, No. 1, Lorong Ayer Itam, Selangor, 43000, Malaysia
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How to cite (IJASEIT) :
Tang, Jun Huat, et al. “A Strategic Approach Using Representative LV Networks in the Assessment of Technical Losses on LV Network With Solar Photovoltaic”. International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 4, Aug. 2017, pp. 1220-6, doi:10.18517/ijaseit.7.4.2286.
Citation Format :
Low voltage network (LVN) forms an extensive part of the distribution network as it is used to connect electricity supply from utility substations to diverse segments of loads in different geographic locations. With the increasingly high penetration of solar PV in LVN, utility companies are finding it necessary to establish the contribution of these solar PV to the overall technical losses in the distribution network. This paper presents a strategic approach using representative LVN to determine the impact of solar PV on technical losses on the LVN. Five types of representative LVN characterized by different customer load segments (domestic, commercial and industrial) and peak load demand were developed. The impact on technical losses of solar PV connected to these representatives LVN were assessed on a statistical basis for a supply zone. The results obtained are consistent and could be applied to establish investment strategies on distribution network, tariff revision exercise and optimization of distribution network planning/design.

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