The Parallel Interior Point for Solving the Continuous Optimization Problem of Unit Commitment

被引:0
作者
Hu, Guili [1 ]
Yang, Linfeng [1 ,2 ]
机构
[1] Guangxi Univ, Sch Comp Elect & Informat, Nanning, Peoples R China
[2] Guangxi Univ, Guangxi Key Lab Power Syst Optimizat & Energy Tec, Nanning, Peoples R China
来源
2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016) | 2016年
关键词
interior point method; parallel computing; unit commitment; electric power system;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The main objective of safe and economical operation of electric power systems is to arrange the generator set to put into operation and finally minimize the total cost while meeting certain load demand. The objective of this paper is to minimize the sum of the cost of power generation and the cost of start-up. The primal dual interior point method (PD-IPM) can effectively solve the continuous optimization problem. However the unit commitment problem is a combinatorial optimization problem of large-scale, non-convex, complex and high dimension. Therefore, by processing the problem model, we can make full use of the PD-IPM to solve the model, and design an algorithm to solve the model in parallel, so as to improve the efficiency of the calculation. Using the PD-IPM, this paper tends to explore the solution of unit commitment optimization problem with continuous relaxation.
引用
收藏
页码:1333 / 1338
页数:6
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