Publication

Static transmission expansion planning using Heuristic and metaheuristic techniques

Bibliographic Details
Summary:	This paper describes a hybrid tool to perform Static Transmission Expansion Planning, STEP, studies and its application to the Garver 6-Bus academic system and to the Southern Brazilian Transmission equivalent real system. The developed STEP tool integrates two phases as follows. The first one uses Constructive Heuristic Algorithms (CHA) to reduce the search space, and the second uses Particle Swarm Optimization (PSO) to identify the final solution. This hybridization between CHAs and PSO proved to be very effective and shows good performance to reduce the size of the STEP search space and to identify good quality solutions. These are relevant issues given the combinatorial nature of investment problems leading to the explosion of the number of alternative plans, one of the greatest difficulties faced in this planning problem.
Subject:	Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática Electrical engineering, Electrical engineering, Electronic engineering, Information engineering
Country:	Portugal
Document type:	book
Access type:	Open
Associated institution:	Repositório Aberto da Universidade do Porto
Language:	English
Origin:	Repositório Aberto da Universidade do Porto

Description
Summary:	This paper describes a hybrid tool to perform Static Transmission Expansion Planning, STEP, studies and its application to the Garver 6-Bus academic system and to the Southern Brazilian Transmission equivalent real system. The developed STEP tool integrates two phases as follows. The first one uses Constructive Heuristic Algorithms (CHA) to reduce the search space, and the second uses Particle Swarm Optimization (PSO) to identify the final solution. This hybridization between CHAs and PSO proved to be very effective and shows good performance to reduce the size of the STEP search space and to identify good quality solutions. These are relevant issues given the combinatorial nature of investment problems leading to the explosion of the number of alternative plans, one of the greatest difficulties faced in this planning problem.