Optimum Fuel Cost in Load Flow Analysis of Smart Grid by Using Artificial Bee Colony Algorithm


Cinar M., KAYGUSUZ A.

International Conference on Artificial Intelligence and Data Processing (IDAP), Malatya, Turkey, 21 - 22 September 2019 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Malatya
  • Country: Turkey
  • Keywords: Smart grid, artificial bee colony algorithm, optimum fuel cost, load flow analysis
  • Inonu University Affiliated: Yes

Abstract

Smart grids have a structure that can feel overloads with real-time communication infrastructure, regulate energy flow directions, optimize the use of renewable energy sources and reduce user costs. The smart grid vision aims to develop the power system towards a network that is well integrated with advanced measurement technologies, wide area communication, and automatic controls. The benefits include fast decision making, high controllability, and system reliability. Various optimization methods are used to reduce the optimum fuel cost in the load flow analysis in smart grids. The classical optimization methods that have been used before have now been replaced by intuitive and herd based algorithms. One of the herd based algorithms is the artificial bee colony algorithm. The use of an artificial bee colony algorithm is often preferred in smart grids since it is flexible and the number of parameters is less than other algorithms and the online run time is low.