Open AccessThe wind-PV-hydro-thermal multi-source cleaning dispatch with the influence of super-power thermal storage boiler
Author(s) -
Wei Ge,
Debao Liu,
Hongzhou He,
Shunjiang Wang,
Zhen Jiao,
Xuanyuan Zhao
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/675/1/012049
Subject(s) - boiler (water heating) , thermal energy storage , thermal power station , electricity generation , wind power , automotive engineering , economic dispatch , operating cost , electric power system , electric power , process engineering , environmental science , engineering , waste management , power (physics) , electrical engineering , ecology , physics , quantum mechanics , biology
Aiming at the problem of serious waste of clean energy caused by the randomness and volatility of clean energy output during the winter heating period in Northeast China, this paper proposes a dispatching scheme of super-large power regenerative electric boiler, which fully combines the different physical characteristics and respective advantages of power systems and thermal systems. To maximize the economic and environmental benefits of wind-PV-hydro-thermal and other multi-energy joint dispatching, an optimal dispatch model is constructed with the lowest overall power generation cost as the dispatch target considering the power generation operating cost of the thermal power unit, the cost of abandoned light, the cost of abandoned water, the cost of abandoned wind, and the heating income of super-large power storage boilers combined together. The improved PSO algorithm based on multi-agent is used to solve the model. The results of the calculation example show that, after considering the absorption capacity of the super-large power regenerative electric boiler, the operating cost of the system is reduced by about 10%, and under the premise of ensuring the safe and stable operation of the system, the utilization rate of clean energy utilization and the system operation economy is improved.