Probabilistic Algorithms for Power Load Flow and Short-Circuit Analysis in Distribution Networks with Dispersed Generation

Autor(es)

Penuela Meneses, Cesar Augusto ; Granada Echeverri, Mauricio ; Mantovani, Jose R. Sanches

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS; v. 24, n. 3, p. 15-pg., 2013-06-01.

Resumo

In this paper, an approach for probabilistic analysis of unbalanced three-phase weakly meshed distribution systems with dispersed generation is presented. The approach considers uncertainty in both load demand and the injected power of dispersed generators. In order to achieve high computational efficiency, the approach makes use of both an efficient method for probabilistic analysis and a radial power flow. The probabilistic strategy used is the well-known Three-Point Estimate Method. In the other hand, classical models based on the sequence impedance are implemented for modeling synchronous machines, asynchronous machines, and electronically interfaced sources. These models aim to consider the impact on the power flows from the installation of dispersed generators. Asmall-size test system, as well as the modified IEEE 123 bus system, is used to show the operation and effectiveness of the proposed approach. A Monte Carlo Simulations method is used to validate the results. (AU)

• Processo FAPESP: 09/53841-7 - Planejamento, análise e confiabilidade de sistemas de energia elétrica
• Beneficiário: José Roberto Sanches Mantovani
• Modalidade de apoio: Auxílio à Pesquisa - Programa Equipamentos Multiusuários
• Processo FAPESP: 09/00296-1 - Desenvolvimento técnicas e modelos matemáticos para solução do problema de planejamento da expansão e operação de sistemas de distribuição de energia elétrica com geradores
• Beneficiário: César Augusto Peñuela Meneses
• Modalidade de apoio: Bolsas no Brasil - Doutorado