Multi-objective Transmission Expansion Planning Considering Uncertainty in Wind Power and Demand

被引：0

作者：

Correa-Horez, Carlos Adrian ^{[1
]}

Sanchez Salcedo, Alejandro ^{[2
]}

Felipe Panesso, Andres ^{[2
]}

机构：

[1] MINES ParisTech, Ctr PERSEE, Sophia Antipolis, France

[2] La Salle Univ, Dept Elect Engn, Bogota, Colombia

来源：

2016 IEEE PES TRANSMISSION & DISTRIBUTION CONFERENCE AND EXPOSITION-LATIN AMERICA (PES T&D-LA) | 2016年

关键词：

Transmission planning; multi-objective optimization; uncertainty; wind generation; robust expansion plans; SYSTEMS; MULTISTAGE;

D O I：

暂无

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 paper presents a multi-objective methodology for the Transmission Expansion Planning (TEP) problem when uncertainty in demand and large wind generation is considered. The proposed scheme is based on Reduced Scenario Methodology (RSM) to represent the uncertainty set. An enhanced NSGA-II multi-objective algorithm is used to minimize expansion costs and wind power curtailment, so that a set of Pareto optimal expansion plans are obtained. The performance of the expansion plans is evaluated and compared with previous work to demonstrate the robustness of the proposed approach. Test are carried out on Garver and the IEEE 24-bus RTS systems.

引用

页数：6

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