Solving the security constrained unit commitment problem: Three novel approaches

被引:0
|
作者
Castelli, Alessandro Francesco [1 ]
Harjunkoski, Iiro [2 ]
Poland, Jan [3 ]
Giuntoli, Marco [2 ]
Martelli, Emanuele [1 ]
Grossmann, Ignacio E. [4 ]
机构
[1] Politecn Milan, DOE, Via Lambruschini 4, I-20154 Milan, Italy
[2] Hitachi Energy Res, Mannheim, Germany
[3] Hitachi Energy Res, Baden, Switzerland
[4] Carnegie Mellon Univ, Dept Chem Engn, 5000 Forbes Ave, Pittsburgh, PA 15213 USA
关键词
Unit Commitment; Optimization; Decomposition; N-1; Reliability; Grid Operation; STOCHASTIC OPTIMIZATION;
D O I
10.1016/j.ijepes.2024.110213
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This work proposes three novel approaches to speed up the solution of the Security Constrained Unit Commitment problem: an improvement of an active-set iterative approach taken from literature, an approach using solver callback functions for the evaluation of system and security constraints in the branch-and-bound tree, and one based on a shrinking horizon decomposition integrated with the use of callback functions. The three approaches were tested over five different case studies and compared against an approach taken from literature to assess scalability and performance. Results show that the modified iterative approach is always faster than the original one reported in the literature (between -58% and -93% run time), while the callback-based method does not reduce the computational time of large-scale instances. Finally, the shrinking-horizon-based approach was proved to be the fastest (up to -98% less time) despite not guaranteeing optimality (about 1% suboptimal).
引用
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页数:23
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