Multi-Attribute Based Optimal Location of Renewable Energy Sources in Deregulated Power Sector

著者

  • Digambar Singh Electrical Engineering Department, National Institute of Technology, Hamirpur, Himachal Pradesh, India
  • Yog Raj Sood Electrical Engineering Department, National Institute of Technology, Hamirpur, Himachal Pradesh, India

要旨

Integration of renewable energy into power grid has great importance for the electrical power system. Several methods have been developed to determine the optimal location of renewable energy sources in the power system based on technical and economical aspects. In the present paper, the optimum location of renewable energy sources has been determined by considering social benefit, power loss and pollutant emission. A prominent optimization technique, primal-dual interior point method (PDIPM) has been applied for maximizing the social benefit. A multi-attribute approach has been used for optimal location of renewable energy generators by considering various factors like minimizing power loss, and pollutant emission. Furthermore, the availability of renewal sources like solar and wind has also been considered in this paper for optimal location of renewable generators. This approach is validated on IEEE-5 and IEEE-30 bus systems.   Keywords: Social benefit, pollutant emission, power losses, optimal location of RESsCite this Article Digambar Singh, Yog Raj Sood. Multi-Attribute Based Optimal Location of Renewable Energy Sources in Deregulated Power Sector. Trends in Electrical Engineering. 2016; 6(3):    78–88p.

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発行日

2016-12-27

巻号

巻 6 号 3 (2016)

セクション

Research Articles

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