Title

Multi-objective transmission expansion planning considering multiple generation scenarios

DOI

https://doi.org/10.1016/j.ijepes.2014.04.063

Document Type

Article

Publication Date

1-1-2014

Publication Title

International Journal of Electrical Power and Energy Systems

Abstract

This paper shows a methodology for solving the Transmission Expansion Planning (TEP) problem when Multiple Generation Scenarios (MGS) are considered. MGS are a result of the multiple load flow patterns caused by realistic operation of the network, such as market rules, availability of generators, weather conditions or fuel prices. The solution to this problem is carried out by using multiobjective evolutionary strategies for the optimization process, implementing a new hybrid modified NSGA-II/Chu-Beasley algorithm and taking into account variable demand and generation. The proposed methodology is validated using the 6-bus Garver system and the IEEE-24 bus system. The TEP is based on the DC model of the network and non-linear interior point method is used to initialize the population. A set of Pareto optimal expansion plans with different levels of cost and load shedding is found for each system, showing the robustness of the proposed approach. © 2014 Elsevier Ltd. All rights reserved.

Volume

62

First Page

398

Last Page

409

ISSN

01420615

Identifier

SCOPUS_ID:84901921588

Documento original

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