Wind generation modelling in LDC based generation planning models – A case study of Omani power sector with WASP-IV

A. S. Malik, Aamir Al-Kharusi, Ahmed Al-Khathiri, Yousuf Al-Mahrouqi

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

Abstract

Most of the popular and widely used software tools for strategic planning of generation expansion are based on load duration curve technique, which disregards the chronology of the events; hence intermittent generation resources are not properly modelled. In addition, in such software the environmental costs of the power plants are not embedded within the optimization process but calculated after the “optimal” plan is made. This paper describes how to model the intermittent resources or non-dispatchable technologies such as wind in these kinds of tools that are based on load duration curve models. In addition, the paper describes how to model environmental costs within the fuel cost of each technology so that a truly optimal generation mix is found. As a case study, the paper concentrates on finding the optimum generation capacity expansion plans for the Main Interconnected System (MIS) of Oman using WASP-IV software, which is based on load duration curve technique.

Original languageEnglish
Title of host publicationIET Conference Publications
PublisherInstitution of Engineering and Technology
EditionCP750
ISBN (Electronic)9781785618161, 9781785618437, 9781785618468, 9781785618871, 9781785619427, 9781785619694, 9781785619915, 9781839530029, 9781839530036
ISBN (Print)9781785617911
Publication statusPublished - Jan 1 2018
Event7th Brunei International Conference on Engineering and Technology 2018, BICET 2018 - Bandar Seri Begawan, Brunei Darussalam
Duration: Nov 12 2018Nov 14 2018

Publication series

NameIET Conference Publications
NumberCP750
Volume2018

Conference

Conference7th Brunei International Conference on Engineering and Technology 2018, BICET 2018
CountryBrunei Darussalam
CityBandar Seri Begawan
Period11/12/1811/14/18

Keywords

  • Distributed power generation
  • Generation expansion planning
  • Integrated resource planning
  • Renewable energy sources
  • Wind energy planning

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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