Transmission Expansion Planning Considering Maximizing Penetration Level of Renewable Sources


Ugranli F., KARATEPE E.

IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), Bulgaria, 19 - 21 June 2013, (Full Text)

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/inista.2013.6577640
  • Country: Bulgaria
  • Keywords: Wind power, Genetic algorithm, Transmission investment, Wind energy spilled, Transmission adequacy, DC power flow, SYSTEMS, MODELS
  • Dokuz Eylül University Affiliated: No

Abstract

Recently, integration of intermittent sources into the power systems has gained most interest in distributed generation environment. Among the others, wind based generation is the most promising renewable based technology. The volatility of these sources requires the careful planning of power systems. This paper proposed a novel genetic algorithm based method to determine the optimal trade-off between wind energy spilled and transmission line investment by deciding the location of new transmission lines. By this way, power system planners can avoid overinvestment of transmission lines while providing maximum usage of wind turbines. The proposed method is illustrated using the IEEE 24 bus reliability test system.