Open AccessOperation Decision Model of Wind-Photovoltaic-Storage Hybrid Power System in the Day Ahead Market
Author(s) -
Wannian Qi,
Jingyuan Li,
Wei Peng,
Jin Xu,
Xuefeng Xu
Publication year - 2020
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 - 10.1088/1742-6596/1650/3/032030
Subject(s) - photovoltaic system , bidding , stand alone power system , wind power , electricity market , pumped storage hydroelectricity , energy storage , electric power system , computer science , turbine , electricity , electricity generation , automotive engineering , reliability engineering , environmental economics , renewable energy , power (physics) , electrical engineering , engineering , distributed generation , economics , microeconomics , mechanical engineering , physics , quantum mechanics
In this paper, considering the uncertainty of electricity price and the uncertainty of wind power generation and photovoltaic power generation in the day ahead electricity market, a bidding decision-making model of wind solar energy storage complementary power system composed of wind turbine, photovoltaic generator set and energy storage system is constructed by using two-stage stochastic programming method, so as to maximize the interests of system operators. Finally, the rationality of the model is proved by an example.