Optimal energy management for industrial microgrids with high-penetration renewables

Optimal energy management for industrial microgrids with high-penetration renewables

Abstract This paper presents a day-ahead optimal energy management strategy for economic operation of industrial microgrids with high-penetration renewables under both isolated and grid-connected operation modes. The approach is based on a regrouping particle swarm optimization (RegPSO) formulated o...

Full description

Bibliographic Details
Main Authors: Han Li, Abinet Tesfaye Eseye, Jianhua Zhang, Dehua Zheng
Format: Article
Language:English
Published: SpringerOpen 2017-04-01
Series:Protection and Control of Modern Power Systems
Subjects:
Energy management
Genetic algorithm
Microgrid
Regrouping particle swarm optimization
Renewable energy
Online Access:http://link.springer.com/article/10.1186/s41601-017-0040-6

Internet

http://link.springer.com/article/10.1186/s41601-017-0040-6

Similar Items