| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4945719 | International Journal of Electrical Power & Energy Systems | 2017 | 7 Pages |
Abstract
We propose an efficient harmony search algorithm for charge scheduling of an energy storage system (ESS) with renewable power generators under time-of-use pricing and demand charge policy. We show the superiority of the proposed method by simulating experiments with load and generation profiles of typical residential customers. ESS scheduled by the proposed harmony search algorithm showed improved result over the system optimized using genetic algorithm.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zong Woo Geem, Yourim Yoon,