期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：153
期号：3
页码：032047
DOI：10.1088/1755-1315/153/3/032047
语种：English
出版社：IOP Publishing
摘要：The joint operation of wind farms and pumped-storage plants is an effective solution to the challenge that large scale wind power integration brings to the economic operation of power grid. In the low carbon dispatching of the hybrid power system with wind power and pumped storage, the economic efficiency is met by considering the environmental benefits. In this paper, the modeling and optimization algorithm of low carbon scheduling problem for hybrid system with wind power, thermal power and pumped storage station is studied. Firstly, the wind power scenario model is built based on the probability distribution of wind power prediction error. Then a two-stage stochastic programming model is established based on day-ahead scheduling and hour-ahead scheduling. Secondly, the improved differential evolution based the ε-constraint method and Pareto non-dominance sorting is applied to solve the low carbon scheduling problem for multi-objective optimization with mixed integer programming. Finally, an example is provided to verify the feasibility of the proposed algorithm by the use of MATLAB software.
