EconPapers    
Economics at your fingertips  
 

Power System Market Planning

Isa Salman Qamber and Mohamed Y Al-Hamad
Additional contact information
Isa Salman Qamber: Bahrain Society of Engineers, Former University of Bahrain, Kingdom of Bahrain
Mohamed Y Al-Hamad: Power Trade Senior Executive Market Operations, GCC Interconnection Authority, K .S. A

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 11, 17-21

Abstract: The loss of load expectation (LOLE) considered an acceptable security standard across most of the national electricity systems. In the present study, the LOLE is calculated. This means that the LOLE needs developing a model. The developed model serving to assesses the security of supply risks associated with the different electricity capacity margin levels, where the capacity margin is the level by which available electricity generation capacity exceeds the maximum expected level of demand. Then, the developed model updated on an annual basis. The annual update is helping to fulfill the Electricity Authority for planning, operation and control. The developed model will assess the system by calculating the capacity margin probability by combining both the generation and load models. The calculation of LOLE is an internationally accepted criterion in capacity adequacy. The results for the model of each region vary due to several factors, such as generation resource, load forecast, and forced outage rates (FOR). The estimation of the risk is economically optimal reserve margin to a number of case studies assumptions considered in the present study. The results help in future planning for the electric system operation and control. Furthermore, the study is helping to evaluate the implications of the obtained results for the electricity policy market to determine the best model for market design in the future.

Keywords: LOLE; Capacity Margin Probability; Exposure Factor (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/61602 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/61602/12278 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:11:id:61602

DOI: 10.24018/ejeng.2019.4.11.1602

Access Statistics for this article

More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().

 
Page updated 2026-06-22
Handle: RePEc:epw:ejeng0:v:4:y:2019:i:11:id:61602