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

• Grant number: 12/05520-0
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: August 01, 2012
• End date: July 31, 2016
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Nelson Kagan
• Grantee: Juan Carlos Cebrian Amasifen
• Host 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

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

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. (12/05520-0)

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. (12/05520-0)