Research on Low Carbon Dispatching of Hybrid Power Generation System with Wind Power and Pumped Storage Station

2018 2nd International Workshop on Renewable Energy and Development

能源学;经济学

Wu, Yichun^1 ; Li, Yonghui^2 ; Xu, Xiaotong^2 ; Huang, Jie^1 ; Li, Caifang^1

Anhui Electrical Engineering Professional Technique College, Hefei

230022, China^1

School of Electrical Engineering, Wuhan University, Wuhan

430072, China^2

关键词: Hybrid power generation systems;    Improved differential evolutions;    Large-scale wind power integrations;    Mixed integer programming;    Modeling and optimization;    Pumped storage station;    Two-stage stochastic programming;    Wind power predictions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/153/3/032047/pdf
DOI  :  10.1088/1755-1315/153/3/032047

来源: IOP

【 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 -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.