Analysis of Constraint-Handling in Metaheuristic Approaches for the Generation and Transmission Expansion Planning Problem with Renewable Energy

Martinez-Villaseñor, Lourdes; Ponce, Hiram; Ramírez, Juan Manuel; Marmolejo Saucedo, José Antonio; Hernández, Agustina

doi:10.1155/2018/1438196

Analysis of Constraint-Handling in Metaheuristic Approaches for the Generation and Transmission Expansion Planning Problem with Renewable Energy

Journal

Complexity

ISSN

1076-2787

1099-0526

Date Issued

2018

Author(s)

Ramírez, Juan Manuel

Marmolejo Saucedo, José Antonio

Hernández, Agustina

Type

Resource Types::text::journal::journal article

DOI

10.1155/2018/1438196

URL

https://scripta.up.edu.mx/handle/20.500.12552/4288

Abstract

A multiperiod generation and transmission expansion planning (G&TEP) problem is considered. This model integrates conventional generation with renewable energy sources, assuming a stochastic approach. The proposed approach is based on a centralized planned transmission expansion. Due to the worldwide recent energy guidelines, it is necessary to generate expansion plans adequate to the forecast demand over the next years. Nowadays, in most energy systems, a public entity develops both the short and long of electricity-grid expansion planning. Due to the complexity of the problem, there are different strategies to find expansion plans that satisfy the uncertainty conditions addressed. We proposed to address the G&TEP problem with a pure genetic algorithm approach. Different constraint-handling techniques were applied to deal with two complex case studies presented. Numerical results are shown to compare the strategies used in the test systems, and key factors such as a prior initialization of population and the estimated minimum number of generations are discussed. ©2018, Wiley/Hindawi.