Open AccessUnit commitment of wind integrated power system considering optimal scheduling of reserve capacity
Author(s) -
Wenxue Liu,
Liang Wang,
Bing Zhang,
Chengbin Ma,
Zhengtang Liang
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 - 10.1088/1755-1315/431/1/012054
Subject(s) - power system simulation , spinning , fuzzy logic , electric power system , wind power , reserve requirement , mathematical optimization , computer science , control theory (sociology) , scheduling (production processes) , unit (ring theory) , economic dispatch , power (physics) , operations research , engineering , economics , mathematics , electrical engineering , control (management) , mathematics education , mechanical engineering , monetary policy , physics , central bank , quantum mechanics , artificial intelligence , monetary economics
There are multiple uncertainties in the power system with wind farms, such as wind power output, load and forced outage of units, which lead to consider the spinning reserve capacity in unit commitment, which undoubtedly increases the difficulty of problem solving. In order to solve this problem, the fuzzy parameters of wind power output and load are obtained by using the error’s fuzzy characteristics, and the mathematical model of generating unit combination is established to optimize the generator output and spinning reserve simultaneously by using the chance constraint, and the model is solved by using intelligent algorithm. The model fully analyses the cost difference of different units providing spinning reserve and the economic benefit of spinning reserve, aiming at minimizing the difference between the cost of generating reserve and the economic benefit of reserve, so as to maximize the overall economic benefit of the system. The feasibility and validity of the proposed model are verified by a 10-unit system with wind farms. The analysis shows that the model can reasonably consider reserve decision-making in unit commitment to deal with uncertainties in power system.