Skip to main navigation Skip to search Skip to main content

Market-Based Wind Power Generation Expansion Planning Based on Cost Minimization

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

Abstract

Variable renewable generation has been added to the generation mix of the modern power grid to meet the ever-increasing load demand while also adhering to environmental preservation requirements. However, given that these renewable energy sources are intermittent and dependent on unpredictable environmental conditions, the dynamics and priorities of generation expansion planning require thorough adjustments and refinements. The primary aim of this research paper is to develop a Generation Expansion Planning (GEP) model that minimizes the installation and operation costs of vertically integrated utilities connected to the electric market considering the wind power resources. Also, the reliability index is included so that the system keeps the loss of load expectation (LOLE) at an acceptable level during operation. This is achieved by considering the reliability data of conventional generators, such as the force outage rate (FORs) for each generator so that a Capacity Outage Probability Table (COPT) for each area will be calculated to control the market trading by keeping LOLE within a certain acceptable level.The proposed methodology is assessed and confirmed using a multi-area power system, where each area is equipped with conventional power generation systems and characterized by its load profile. These regions are interconnected via a tie-line. This research paper contributes to sustainable energy planning by offering a comprehensive framework considering cost reduction, Loss of Load Expectation (LOLE), and optimal wind power allocation. This study concluded that the optimal allocation of wind power has a significant impact on the reliability of electric power systems. Additionally, the study showed that market mechanisms influence decisions regarding capacity addition, pricing, and the overall economics of power generation.

Original languageEnglish
Title of host publication2024 Saudi Arabia Smart Grid, SASG 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331576301
DOIs
StatePublished - 2024
Event2024 Saudi Arabia Smart Grid, SASG 2024 - Riyadh, Saudi Arabia
Duration: 16 Dec 202418 Dec 2024

Publication series

Name2024 Saudi Arabia Smart Grid, SASG 2024

Conference

Conference2024 Saudi Arabia Smart Grid, SASG 2024
Country/TerritorySaudi Arabia
CityRiyadh
Period16/12/2418/12/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • GEP
  • Power system
  • Reliability
  • Sustainability
  • wind Allocations Renewable generation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Market-Based Wind Power Generation Expansion Planning Based on Cost Minimization'. Together they form a unique fingerprint.

Cite this