Abstract
This paper describes a mathematical approach to the determination of the electrical load composition of a secondary network during cold-load re-energization. It is intended to answer two questions: What fraction of the normal steady-state demand must be restored at the time of re-energization in the most pessimistic case? What is the composition of this worse case restoration load? The answers were obtained by making use of the Simplex Algorithm, a mathematical, but physically based, optimization procedure. The input data consisted of a customer survey of connected-load; maximum demand for this customer sample; experiencebased power requirement limits as a function of the time-of-day. For comparison with the mathematically-based results, on-site visits were made to representative commercial enterprises. The results were used to construct, independently, a second cold-load restoration model. The two models were surprisingly close.
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.
