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Distribution system planning of medium voltage considering distributed generation and uncertainties

Grant number: 13/23124-7
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): March 01, 2014
Effective date (End): February 28, 2018
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Geraldo Roberto Martins da Costa
Grantee:Benvindo Rodrigues Pereira Junior
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):15/15605-0 - Distribution system planning taking into account distributed generation (DG), energy storage systems (ESS) and demand response (DR), BE.EP.PD

Abstract

Distribution system planning problem of long-term are complex combinatorial problem presenting combinatorial explosion phenomenon and multimodal structure with a higher number of local optima. In addition to its complexity this problem presents multi-objective nature, which must be properly handled to prevent that decision making elements are implicitly incorporated into the model. Traditional models presented to planning problem, include expansion of existing circuits and substations and construction of new ones, subject to a set of technical and economic constraints. This research project in addition to traditional planning actions intends to include allocation of distributed generation in the planning model, considering the nature of generation source and its stochastic characteristic and different generation owners with their power purchase contracts, established by market conditions. Another uncertainty source to be studied and evaluated during the planning stage is the demand forecasts at buses system load. Considering the stochastic characteristic of the problem objective functions considered in the model will be: investment and operation costs; and reliability costs, evaluated through non-supplied energy costs. To solve the model we propose a multiobjective tabu search algorithm, which has proved very effective in solving complex combinatorial problems. The model and solution technique which must be developed will be tested and validate in known study cases in the literature. (AU)

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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)
PEREIRA, JR., BENVINDO R.; MARTINS DA COSTA, GERALDO R.; CONTRERAS, JAVIER; SANCHES MANTOVANI, JOSE R.. Optimal Distributed Generation and Reactive Power Allocation in Electrical Distribution Systems. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, v. 7, n. 3, p. 975-984, . (15/15605-0, 13/23124-7)
PEREIRA, KATIANI; PEREIRA JR, BENVINDO R.; CONTRERAS, JAVIER; MANTOVANI, JOSE R. S.. A Multiobjective Optimization Technique to Develop Protection Systems of Distribution Networks With Distributed Generation. IEEE Transactions on Power Systems, v. 33, n. 6, p. 7064-7075, . (13/23124-7, 15/21972-6)

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