Open AccessOptimization scheduling model and method for Wind-PV-Pumped joint operation in high proportion renewable energy base
Author(s) -
Lu Zhang,
Guo Hai-long,
Da Chaozong,
Mao Liguo
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/512/1/012017
Subject(s) - renewable energy , grid connection , computer science , wind power , mathematical optimization , scheduling (production processes) , photovoltaic system , grid , energy storage , pareto principle , environmental science , automotive engineering , power (physics) , engineering , electrical engineering , mathematics , physics , geometry , quantum mechanics
Aiming at the uncertainty of wind and PV output and the fluctuation of wind and PV grid connection output, an optimized scheduling model and method for wind-PV-pumped storage combined operation in high proportion renewable energy base is proposed. Firstly, the optimal scheduling model for 96 periods of the whole day was established with the objective of optimal comprehensive benefit, minimum power fluctuation and optimal power demand matching of the wind-PV-pumped storage co-generation system.Then, an NSGA-III algorithm more suitable for high-dimensional multi-objective optimization is introduced to obtain Pareto optimal solution set of co-generation system. Finally, the simulation of jiuquan new energy base was carried out to verify the effectiveness of the proposed model.