Scenario-Based Stochastic Framework for Optimal Planning of Distribution Systems Including Renewable-Based DG Units

Renewable energy-based distributed generators are widely embedded into distribution systems for several economical, technical, and environmental tasks. The main concern related to the renewable-based generators, especially photovoltaic wind turbine is continuous variations in their output powers due solar irradiance speed, which leads uncertainties power system. Therefore, of these resources should be considered feasible planning. innovation this paper that it proposes an efficient stochastic framework optimal planning with inclusion considering load demands generators. proposed depends upon scenario-based method modeling systems. In framework, a multi-objective function planning, including minimization expected total loss, system voltage deviation, cost, emissions, addition enhancing stability. A novel technique known as Equilibrium Optimizer (EO) actualized appoint ratings locations effectiveness strategy applied on IEEE 69-bus network 94-bus practical situated Portugal. simulations verify feasibility Additionally, results show integration using reduction losses, deviations, emission rate enhances stability by 60.95%, 37.09%, 2.91%, 70.66%, 48.73%, respectively, system, while values enhanced 48.38%, 39.73%, 57.06%, 76.42%, 11.99%, respectively.