Wind power generation planning by utilizing the reactive power capabilities of generators

Nand K. Meena*, Anil Swarnkar, Nikhil Gupta, K. R. Niazi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

The paper presents a new wind power generation planning framework by considering the reactive power capabilities of generators. The motivation is to maximize the utilization of renewable power hosting capacity without violating the security constraints of distribution networks. The objective is to maximize the net present value of the investment considering the cost of grid energy transaction, initial investment of wind turbines, operation and maintenance etc. The problem is developed as the mixed-integer, non-linear and non-convex optimization problem; therefore, an improved variant of genetic algorithm has been adopted. The proposed generation planning model is implemented on a benchmark test distribution system of 33 buses and the simulation results are compared with the same obtained from the traditional planning models. The comparison shows that the proposed approach effectively maximize the net present value of the investment as compared to tradition planning models.

Original languageEnglish
Title of host publication2017 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2017
PublisherIEEE
Pages1-6
Number of pages6
Volume2017-December
ISBN (Electronic)9781538609712
DOIs
Publication statusPublished - 5 Dec 2017
Event2017 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2017 - Singapore, Singapore
Duration: 24 Oct 201726 Oct 2017

Conference

Conference2017 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2017
CountrySingapore
CitySingapore
Period24/10/1726/10/17

Keywords

  • Distributed generation
  • distribution systems
  • genetic algorithm
  • mixed-integer
  • wind power

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