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ELECTRIC POWER DISTRIBUTION PLANNING IN THE CONTEXT OF SMART GRIDS CONSIDERING POWER QUALITY COSTS

Grant number: 12/05520-0
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): August 01, 2012
Effective date (End): July 31, 2016
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Nelson Kagan
Grantee:Juan Carlos Cebrian Amasifen
Home Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated scholarship(s):14/06568-1 - Minimization of financial losses related to sensitive process interruptions by optimal allocation of automatic switches in radial distribution systems, BE.EP.PD   12/18134-0 - Evaluation of power quality costs in sensitive processes and their impact on distribution network expansion planning, BE.EP.PD

Abstract

Power distribution companies nowadays face new challenges in modern societies. Amongst them, a major challenge concerns electricity customers who demand a high quality of service and high reliability in their supply of energy. In such a context, the concept of smart grids is a viable answer to such challenges. The new technologies associated with smart grids aim at improving the performance of power systems, by preventively identifying failures in the system as well as restoring the service in an automated way when facing contingencies, thus improving the operational efficiency of distribution companies. In such a new scenario, this project aims at broaden the classical concepts of multi-stage expansion planning in a way to consider relevant aspects related to smart grids, more specifically related to distributed generation and self healing. These two aspects will be dealt with under normal and emergency operating conditions in order to maintain the power quality criteria for the multiple planning stages. As for the evaluation of power quality, the methodology will take into account long and short duration interruption costs as well as cost related to voltage sags and swells, which are provoked by short circuits throughout the power networks. In order to minimize the proposed objective function, an efficient evolutionary algorithm (EA) will be devised so that different possible alternatives are exploited regardless the network size. Such algorithm will allow for comparative tests in real networks to existing results available in the technical literature.

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
CEBRIAN, JUAN CARLOS; KAGAN, NELSON; MILANOVIC, JOVICA V. Probabilistic Estimation of Distribution Network Performance With Respect to Voltage Sags and Interruptions Considering Network Protection Setting-Part I: The Methodology. IEEE Transactions on Power Delivery, v. 33, n. 1, p. 42-51, FEB 2018. Web of Science Citations: 9.
CEBRIAN, JUAN CARLOS; KAGAN, NELSON; MILANOVIC, JOVICA V. Probabilistic Estimation of Distribution Network Performance With Respect to Voltage Sags and Interruptions Considering Network Protection Setting-Part II: Economic Assessment. IEEE Transactions on Power Delivery, v. 33, n. 1, p. 52-61, FEB 2018. Web of Science Citations: 5.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.