Summary
Recent changes in electric network infrastructure and government policies have created opportunities for the employment of distributed generation to achieve a variety of benefits. In this paper we propose a decisions support system to assess some of the technical benefits, namely: (1) voltage profile improvement; (2) power losses reduction; and (3) network capacity investment deferral, brought through branches congestion reduction. The simulation platform incorporates the classical Newton—Raphson algorithm to solve the power flow equations. Simulation results are given for a real Semiurban medium voltage network, considering different load scenarios (Summer, Winter, Valley, Peak and In Between Hours), different levels of microgeneration penetration, and different location distributions for the microgeneration units.
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Fidalgo, J.N., Fontes, D.B.M.M., Silva, S. (2009). A Decision Support System to Analyze the Influence of Distributed Generation in Energy Distribution Networks. In: Kallrath, J., Pardalos, P.M., Rebennack, S., Scheidt, M. (eds) Optimization in the Energy Industry. Energy Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88965-6_4
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DOI: https://doi.org/10.1007/978-3-540-88965-6_4
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