@article{Chen_2017, title={Pumped-Storage Scheduling Using Glowworm Swarm Algorithm}, volume={5}, url={https://ojs.imeti.org/index.php/PETI/article/view/1074}, abstractNote={<p class="Abstract">This paper presents new solution methods and results based on a glowworm swarm algorithm for solving the 24-hour pumped-storage generation scheduling problem. Complete solution algorithms and encoding/decoding techniques are proposed in the paper. The optimal schedules of both pumped-storage and thermal units are concurrently obtained within the evolutionary process of evaluation functions. Significantly, no hydro-thermal iteration is needed. The proposed approach is applied with success to an actual utility system, which consists of four pumped-storage units and 34 thermal units. The results indicate the attractive properties of the glowworm swarm algorithm in practical application, namely, a highly optimal solution cost and more robust convergence behaviour.</p>}, journal={Proceedings of Engineering and Technology Innovation}, author={Chen, Po-Hung}, year={2017}, month={Aug.}, pages={19–24} }