@article{(Open Science Index):https://publications.waset.org/pdf/10009183, title = {Advanced Hybrid Particle Swarm Optimization for Congestion and Power Loss Reduction in Distribution Networks with High Distributed Generation Penetration through Network Reconfiguration}, author = {C. Iraklis and G. Evmiridis and A. Iraklis}, country = {}, institution = {}, abstract = {Renewable energy sources and distributed power generation units already have an important role in electrical power generation. A mixture of different technologies penetrating the electrical grid, adds complexity in the management of distribution networks. High penetration of distributed power generation units creates node over-voltages, huge power losses, unreliable power management, reverse power flow and congestion. This paper presents an optimization algorithm capable of reducing congestion and power losses, both described as a function of weighted sum. Two factors that describe congestion are being proposed. An upgraded selective particle swarm optimization algorithm (SPSO) is used as a solution tool focusing on the technique of network reconfiguration. The upgraded SPSO algorithm is achieved with the addition of a heuristic algorithm specializing in reduction of power losses, with several scenarios being tested. Results show significant improvement in minimization of losses and congestion while achieving very small calculation times. }, journal = {International Journal of Energy and Environmental Engineering}, volume = {12}, number = {6}, year = {2018}, pages = {442 - 449}, ee = {https://publications.waset.org/pdf/10009183}, url = {https://publications.waset.org/vol/138}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 138, 2018}, }