A multi-objective approach for solving transmission expansion planning problem considering wind power uncertainty

被引：0
作者：
Basir Rashedi
Alireza Askarzadeh
机构：
[1] Graduate University of Advanced Technology,Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences
来源：
Evolutionary Intelligence | 2022年 / 15卷
关键词：
Transmission expansion planning; Multi-objective optimization; Wind energy; Expected energy not supplied;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Security-constrained transmission expansion planning (SCTEP) is a vital power system problem. In last years, to attain energy sustainability, wind power has received significant attention as one of the popular renewable energy resources. This paper solves multi-objective optimization of TEP considering uncertainty of wind power. The uncertainty is modelled by Weibull probability distribution function and Monte-Carlo simulation is employed to consider the uncertainty into the problem. In the problem, the objectives are investment cost of new lines and expected energy not supplied obtained by N-1 security constraint criterion. Since SCTEP is a complex, large-scale, mixed-integer and non-linear combinatorial optimization problem, multi-objective crow search algorithm and multi-objective particle swarm optimization are utilized to find Pareto front. On modified 24-bus IEEE system, the optimization framework is investigated and the results are discussed.
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页码：497 / 511
页数：14
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