Análise de Sensibilidade Aplicada no Planejamento da Operação de Sistemas Elétricos de Potência (Sensitivity Analysis Applied on the Electrical Power Systems Operation Planning)

Alessandra Macedo de Souza (amacedos@ene.unb.br)1, Edmárcio Antônio Belati (belati@cimatec.fieb.org.br)2, Ubiratan Holanda Bezerra (bira@ufpa.br)3, Geraldo Roberto Martins da Costa (geraldo@sel.eesc.sc.usp.br)4


1Departamento de Engenharia Elétrica da Universidade de Brasília. Campus Universitário Darcy Ribeiro, Caixa Postal 4386, CEP 70910-900. Brasília ‑ DF ‑ Brasil
2SENAI CIMATEC Automação Industrial Núcleo de Potência. Av Orlando Gomes 1845, Piatã, CEP 41650-010. Salvador ‑ BA ‑ Brasil
3Departamento de Engenharia Elétrica e Computação da Universidade Federal do Pará. Av Augusto Correa 1, Guamá, CEP 66075-900, Caixa Postal 8619. Belém ‑ PA ‑ Brasil
4Escola de Engenharia de São Carlos da Universidade de São Paulo. Av. Trabalhador Sãocarlense 400, Centro, CEP 13566-590. São Carlos ‑ SP ‑ Brasil

This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2006
Volume: 4,   Issue: 5 
ISSN: 1548-0992


Abstract:
This paper proposes a study of electrical power system operation planning by Sensitivity Analysis (SA). The SA implemented was oriented by Optimal Power Flow (OPF). An optimal operation point was obtained by OPF. If some perturbation occurs in the power system, a new operation point will have to be evaluated to keep the feasibility of the power grid. This new operation point will be evaluated by SA. The SA was methodologically based in the theorem proposed by Fiacco. The set of non-linear equations generated by SA was solved by Newton´s method. Sparsity techniques were used. The principals contributions of this paper are the inclusion of transmission line constrained in the SA model and the complete use of the Fiacco´s theorem. Studies of cases were carried out in the IEEE 14, 118 and 300 buses, where the efficiency of the SA was verified.

Index Terms:
Optimal power flow, Newton´s method, non-linear programming, power systems, sparsity techniques   


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