Year-end Sale % OFF 
Abstract
The paper develops a new algorithm known as advanced multi-pass dynamic programming (AMPDP), and it applies this algorithm to the solution of the optimal operation schedule of the battery energy storage (BES) system of time-of-use rates industrial customers. A suitable BES model is also presented. Two industrial customers with one year of recorded load curves are used as examples to test this algorithm. The results show that this algorithm can quickly converge to the optimal operation schedule while meeting all constraints. Therefore, the effect of BES on the time-of-use rates industrial customers can be studied.
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 callMore From: IEE Proceedings - Generation, Transmission and Distribution
Disclaimer: 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.
