An iterative linear DistFLow for dynamic optimization in distributed generation planning studies

• An iterative linear DistFlow (LDF), with its performances assessed in terms of voltage and losses error a reference AC OPF compared to references conventional LDF, Quadratic (QDF) Second Order Conic Programming (SOCP). improvement ratio from 5 40 the loss estimations LDF. A scalable method SOCP QDF up one month simulation (at 1 h time step) 30 distributed units (PV + storage) on 69-bus test system. successful integration typical generation planning problems with. operation, sizing siting PV storage units. This paper implements an for modelling radial distribution grids. The is intended dynamic optimizations under gird constraints, presence including coupled constraints. It demonstrated that traditional piecewise linearization estimation can lead significant errors. due particular setting static upper bounds active reactive branch flows process, which may differ greatly actual power. proposed approach addresses this shortcoming successive runs updates bounds, dynamically along simulated horizon. as well other relaxed formulations such Programming. All methods are discriminated regard power flow, voltages profiles different systems. procedure displays lowest line five forty times more accuracy than linearized formulations. also outperforms relaxation scalability run 7 min further validated uses cases sizing, assets consisting solar generators Especially, genetic algorithm order system configurations 90-bus solutions number assets, installed capacities, connection bus(es), installation costs, self-sufficiency.