Abstract
The placement of flexible AC transmission system (FACTS) devices in modern power systems requires analytical tools that enable the detailed modelling of demand. In this regard, the different methods found in the literature that have been proposed for demand modelling do not consider demand patterns. In this paper, a methodology for FACTS device placement considering demand variations is proposed. The mean relative improvement of different performance indices is used to evaluate the candidate solutions considering several demand scenarios. Pareto optimality is used for decision making. A one-year test, comprising 8760 demand scenarios, was carried out. The results concur with those in the published literature, and the methodology is shown to be successful in accounting for demand variations. Additionally, two tests were used to evaluate the worst case scenario approach by analysing the peak demand and least loading margin scenarios. It was found that, when demand scenarios with variable load share are used, the peak demand scenario may not coincide with the least loading margin scenario. The results show significant discrepancies between the mean annual and the worst case scenario approach, whether this is the peak demand or the least loading margin scenario.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
