Embedded generation planning in presence of renewable resources using a probabilistic multi-objective optimization approach

So far, Distributed Generations (DGs) have been vast put in practice due to their evident roles in both technical and economical performance of power distribution systems. This paper investigates the presence of renewable energies once DG integration to the network has to be planned. A multiobjective optimization approach has been presented where the risk costs, the share of private investments, and imposed costs are considered as the main objectives. Performance-based regulation is also incorporated as an incentive mechanism in the DG planning process in presence of renewable energy sources (RES). The proposed scheme is adapted to the 37-Bus IEEE standard test system and the anticipated efficiency of the proposed method is well verified by then.