Multiple-distributed generation planning under load uncertainty and different penetration levels

International Journal of Electrical Power & Energy Systems, Volume 46, 2013, Pages 132-144.
Faruk Ugranlı, Engin Karatepe.

Department of Electrical and Electronics Engineering, Engineering Faculty, Ege University, 35100 Bornova, Izmir, Turkey


The penetration of distributed generation (DG) in power system is continually increasing. Hence, there is a need to investigate the potential benefits and drawbacks of distributed generation when integrating distributed generation units in existing networks. The challenge of identifying the optimal locations and sizes has triggered research interest and many studies have been presented in this purpose. Different analytical techniques have been developed to minimize power losses for single-distributed generation unit integration. If distributed generation units are integrated at nonoptimal locations, the power losses increase, resulting in increased cost of energy. The novelty of this paper lies in studying the optimal placement of multiple-distributed generation units in order to minimize power losses. In this study, an optimality criterion is investigated to minimize losses by including load uncertainty, different distributed generation penetration levels and reactive power of multiple-distributed generation concept. The simulation results show that it is not possible to form an analytical equation for optimum planning of distributed generation in terms of load distribution, penetration level and reactive power. Due to the complexity of the multiple-distributed generation concept, artificial neural network based optimal distributed generation placement and size method is developed. The proposed method is implemented to the IEEE-30 bus test network and the results are presented and discussed. The results show that the proposed method can be applied to a power network for all possible scenarios.


Go To Journal


Multiple-distributed generation planning under load uncertainty and different penetration levels



Check Also


Bio-Inspired Modeling for H2 Production