Open AccessFlexible Load Scheduling Methods for Load Aggregators
Author(s) -
Chenggang Zhang,
Zeyu Du,
Peng Wu,
Qianhao Sun,
Yunhao Li,
Yao Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1920/1/012024
Subject(s) - computer science , load balancing (electrical power) , scheduling (production processes) , peak load , load shifting , grid , renewable energy , distributed computing , demand response , energy storage , automotive engineering , electricity , engineering , electrical engineering , operations management , power (physics) , physics , geometry , mathematics , quantum mechanics
Four typical flexible load resources in the customer side, i.e., industrial users, central air-conditioning load, electric vehicles, and energy storage stations, are first considered and modelled in this paper. Then, we present the combined dispatching model for load aggregators involving four flexible load resources mentioned above. Our results of numerical experiments demonstrate that on one hand, four typical flexible load resources on the user side can be dispatched to decrease peak-load as well as increase valley-load. On the other hand, scheduling the load resources with energy storage properties operates in accordance with pre-instructions. Compared with independent scheduling, the combined scheduling of various flexible loads can achieve significant advantages of various load characteristics and strengthen the dispatching ability of load aggregators. The methodology proposed in this paper can effectively promote renewable energy integrations, improve grid stability, and then reduce operating costs of load aggregators.