Authors : V. Sharmila Deve, K. Geetha and K. Keerthivasan
Abstract: Depletion of fossil fuels and their impact on the environment had forced the central power authorities now a days to focus on renewable energy sources. Most of the countries practice ‘Feed in Tariff’ mechanism in the process of purchasing wind energy from Wind Power producers. The drawback of this Tariff method is the fixed rate per unit irrespective of the power demand and wind speed. To overcome this drawback and to promote the usage of wind energy, in this research, an optimal ‘Flexible Feed in Tariff’ model for wind energy purchase has been developed. This tariff is designed based on the variable nature of wind speed and daily power demand using fuzzy logic. This ‘Flexible Feed in Tariff’ will benefit both Central Authority and Wind Power Producers. Finally, the proposed tariff model is compared with current tariff, Independent Power producer Tariff and Private parties Tariff of Tamilnadu state of India, which depicts that the proposed tariff model is better than other compared tariff mechanism.
V. Sharmila Deve, K. Geetha and K. Keerthivasan, 2016. Flexible Cost Factor for Tariff Modeling Using Fuzzy Logic Approach in Wind Energy Applications. Asian Journal of Information Technology, 15: 1511-1521.