Abstract
The fact that electrical energy is not a public service, but a commercial commodity that can be traded in a competitive market is very crucial towards the process of deregulating the market. The restructuring of the generation plants will assist in creating a perfect and fair competition between different companies and thus boosting the economy of the country by attracting new investors. The energy sector in Saudi Arabia is currently on the verge of a pivotal alterations and reforms in regulatory and investment policies. The kingdom is planning to shift the electricity market from a total monopoly where the generation, transmission and distribution sectors are almost owned by one entity to a more deregulated market especially on the generation side. This paper will provide a novel method to assess Saudi Arabia in evaluating the pricing structure of the existing power plants. Real data from the current installed plants will be used, ensuring more pricing accuracy. The paucity of research in the field and the reliance on forecast data of contemporary literature would enhance the value of the outcome of this article and ultimately help Saudi Arabia and other developing countries to successfully embark on the new phase of the electric grid.
| Original language | English |
|---|---|
| Title of host publication | 2018 6th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 171-175 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538664100 |
| DOIs | |
| State | Published - 18 Oct 2018 |
Publication series
| Name | 2018 6th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2018 |
|---|
Bibliographical note
Publisher Copyright:© 2018 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 17 Partnerships for the Goals
Keywords
- Capacity factor
- Centralized market
- Deregulation
- Grid restructuring
- Power wheeling
- Pricing structures
- Privatization
- Unit commitment
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Control and Optimization
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