Multiobjective Short-Term Planning of Electric Power Distribution Systems Using NSGA-II

Author(s)

Pereira Junior, Benvindo R. ; Cossi, Antonio M. ; Mantovani, Jose R. S.

• Document type: Journal article
• Source: JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS; v. 24, n. 3, p. 14-pg., 2013-06-01.

Abstract

This paper presents a mixed integer nonlinear programming multiobjective model for short-term planning of distribution networks that considers in an integrated manner the following planning activities: allocation of capacitor banks; voltage regulators; the cable replacement of branches and feeders. The objective functions considered in the proposed model are: to minimize operational and investment costs and minimize the voltage deviations in the the network buses, subject to a set of technical and operational constraints. A multiobjective genetic algorithm based on a Non-Dominated Sorting Genetic Algorithm (NSGA-II) is proposed to solve this model. The proposed mathematical model and solution methodology is validated testing a medium voltage distribution system with 135 buses. (AU)

• FAPESP's process: 09/08428-4 - Distribution Electric Power System Planning with Distributed Generators (DGs) and Considering Reliability, Operation and Expansion Costs.
• Grantee: Benvindo Rodrigues Pereira Junior
• Support Opportunities: Scholarships in Brazil - Doctorate
• FAPESP's process: 09/53841-7 - Planning, analysis and reliability of electrical power systems
• Grantee: José Roberto Sanches Mantovani
• Support Opportunities: Multi-user Equipment Program