Probabilistic analysis of the distributed power generation in weakly meshed distribution systems

• Autor(a) principal: Peñuela, César A. [UNESP]
• Data de Publicação: 2011
• Outros Autores: Mauricio, Granada E. [UNESP], Mantovani, J. R S [UNESP]
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1109/TDC-LA.2010.5762878; http://hdl.handle.net/11449/72447
• topic: distributed power generation; probabilistic three-phase power flow; weakly meshed distribution systems; Bus systems; Connection points; Distributed generators; Distribution systems; Efficient method; Field currents; Load demand; Monte Carlo Simulation; Operating condition; Power delivery; Power flows; Probabilistic analysis; Probabilistic approaches; Three-phase power flow; Two-point; Computational efficiency; Computer simulation; Distributed power generation; Electric power transmission; Monte Carlo methods; Uncertainty analysis; Probability distributions

This paper presents an approach for probabilistic analysis of unbalanced three-phase weakly meshed distribution systems considering uncertainty in load demand. In order to achieve high computational efficiency this approach uses both an efficient method for probabilistic analysis and a radial power flow. The probabilistic approach used is the well-known Two-Point Estimate Method. Meanwhile, the compensation-based radial power flow is used in order to extract benefits from the topological characteristics of the distribution systems. The generation model proposed allows modeling either PQ or PV bus on the connection point between the network and the distributed generator. In addition allows control of the generator operating conditions, such as the field current and the power delivery at terminals. Results on test with IEEE 37 bus system is given to illustrate the operation and effectiveness of the proposed approach. A Monte Carlo Simulations method is used to validate the results. © 2011 IEEE.