Optimal allocation of distributed generation and capacitor banks using probabilistic generation models with correlations

The allocation of distributed generation and capacitor banks is critical for success in the planning power grids. A methodology developed optimal placement renewable (wind photovoltaic powers) based on technical economic parameters. In order to preserve horoseasonal stochastic dependence nature wind solar power, uses a model that integrates sequential Monte Carlo method diagonal band Copula model, integrating historical data speed, radiation feeder load from region study. An efficient algorithm Genetic Algorithms proposed implement optimization. validation demonstrates reduction up 71.7% annual losses active Bandeira 73.4% Recife feeder, with adequate voltage levels return investment 6–7 years.