Dynamic optimal power flow with geothermal power plant under take or pay energy contract

Rony Seto Wibowo, Nani'Lathifatun Nada, Sjamsjul Anam, Adi Soeprijanto, Ontoseno Penangsang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper deals with dynamic optimal power flow (DOPF) considering geothermal power plant under take or pay (TOP) contract. As located in ring of fire, Indonesia has high potential of geothermal resources. Therefore, geothermal power plant becomes promising solution of power shortage in Indonesia. However, it takes high investment cost to develop geothermal power plant. In order to attract the investors to spend their money in developing geothermal power plant, the Indonesian government applies take or pay scheme in buying electric power from geothermal unit. This scheme is aimed to ensure cost recovery of the unit. When applying take or pay scheme, system operator may use DOPF formulation to make daily operation planning. The DOPF problem is solved using Matlab-based quadratic programming (QP). Then, IEEE 30 bus system is employed as tested system to show the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages187-191
Number of pages5
ISBN (Electronic)9781479977109
DOIs
Publication statusPublished - 24 Aug 2015
Event16th International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Surabaya, Indonesia
Duration: 20 May 201521 May 2015

Publication series

Name2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding

Conference

Conference16th International Seminar on Intelligent Technology and Its Applications, ISITIA 2015
Country/TerritoryIndonesia
CitySurabaya
Period20/05/1521/05/15

Keywords

  • Dynamic Optimal Power Flow
  • Geothermal
  • Take or Pay

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