ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION

• Autor(a) principal: Penuela Meneses, Cesar Augusto [UNESP]
• Data de Publicação: 2011
• Outros Autores: Granada Echeverri, Mauricio, Sanches Mantovani, Jose Roberto [UNESP]
• Tipo de documento: Artigo
• Idioma: spa
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://revistas.unal.edu.co/index.php/dyna/article/view/20160; http://hdl.handle.net/11449/9886
• topic: Power flow; three-phase systems; distribution; probabilistic; weakly meshed systems; distributed generation

In this paper an efficient algorithm for probabilistic analysis of unbalanced three-phase weakly-meshed distribution systems is presented. This algorithm uses the technique of Two-Point Estimate Method for calculating the probabilistic behavior of the system random variables. Additionally, the deterministic analysis of the state variables is performed by means of a Compensation-Based Radial Load Flow (CBRLF). Such load flow efficiently exploits the topological characteristics of the network. To deal with distributed generation, a strategy to incorporate a simplified model of a generator in the CBRLF is proposed. Thus, depending on the type of control and generator operation conditions, the node with distributed generation can be modeled either as a PV or PQ node. To validate the efficiency of the proposed algorithm, the IEEE 37 bus test system is used. The probabilistic results are compared with those obtained using the Monte Carlo method.