Abstract
The main objective of this work is to propose High Voltage Distribution System (HVDS) method as an effective approach for improving the voltage profile and reducing the power loss in a power distribution system. Secondly to justify that the proposed method is both technically feasible and economically viable approach for reducing the distribution system losses and also to maintain the voltage profile in distribution system. A software application has been developed using JAVA for pre and post implementation analysis. The process of backward-forward iteration technique for power loss calculation, annual energy savings and pay-back period has been developed. The analysis indicates that, HVDS is an effective and economically feasible approach for distribution system loss reduction and voltage profile improvement for tail end consumers. The problem to supply electricity to the end users with minimum losses in developing countries like India is a big challenge, where about 72% of human resources are inhabited in rural areas. Though investment is made at distribution side, it has not gained much technical impact when compared to generation and transmission systems. The losses in distribution networks are considerably high as the power distribution is done using Low Voltage Distribution System (LVDS). The losses are high in rural areas when compared to urban areas because of the widely spread loads, specially the agricultural loads. To overcome all these problems HVDS method is proposed as a best move to enhance the overall efficiency of the Distribution System. A case study analysis of BESCOM’s HVDS scheme is presented in this paper using the developed JAVA based program.
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Sincere thanks to the various unit heads and officers of the KPTCL division for making this project
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Prakruthi, G.B., Veeramanju, K.T. (2018). Backward – Forward Algorithm Approach for Computation of Losses in LVDS and Proposed HVDS - Towards Loss Minimization and Voltage Improvement in Agricultural Sector. In: Nagabhushan, T., Aradhya, V.N.M., Jagadeesh, P., Shukla, S., M.L., C. (eds) Cognitive Computing and Information Processing. CCIP 2017. Communications in Computer and Information Science, vol 801. Springer, Singapore. https://doi.org/10.1007/978-981-10-9059-2_37
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