Open AccessOptimal Operation Of Integrated Energy System Considering Demand Response
Author(s) -
Yan Liang,
Yao Wang,
Hongli Liu,
Peng Wang,
Yongming Jing,
Jia Li
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 - 10.1088/1742-6596/2087/1/012017
Subject(s) - demand response , operating cost , matching (statistics) , response time , computer science , energy (signal processing) , genetic algorithm , energy storage , carbon fibers , process engineering , engineering , waste management , electrical engineering , mathematics , power (physics) , electricity , statistics , physics , algorithm , quantum mechanics , machine learning , composite number , computer graphics (images)
Due to the high cost of energy storage part in traditional integrated energy systems, the demand response effect is poor. The paper proposes electrolytic water hydrogen production technology and applies it to the optimal operation of integrated energy system. By optimizing the operating cost of the system through adaptive genetic algorithm, we show that when the load matching degree was increased from 50% to 70%, the system operating cost was reduced by about 15.8%, and the carbon displacement was decreased by about 35%. System operating costs, carbon emissions, and the amount of electrolytic water systems involved in the demand response have all decreased.