Multi-objective transmission expansion planning considering uncertainty in wind power and demand

DOI

https://doi.org/10.1109/TDC-LA.2016.7805681

Document Type

Conference Proceeding

Publication Date

1-4-2017

Publication Title

2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016

Abstract

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.

ISBN

9781509028757

Identifier

SCOPUS_ID:85016184768

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