Optimal Active Energy Loss with Feeder Routing and Renewable Energy for Smart Grid Distribution


  • Phatcharasak Phawanaphinyo College of Innovative Technology and Engineering, Dhurakij Pundit University, Bangkok, Thailand
  • Narongdech Keeratipranon College of Innovative Technology and Engineering, Dhurakij Pundit University, Bangkok, Thailand
  • Chaiyaporn Khemapatapan College of Innovative Technology and Engineering, Dhurakij Pundit University, Bangkok, Thailand




Minimal active power loss, Backward / Forward Sweep Method, Harmony Search, Artificial Bee Colony, Particle Swarm Optimization


Electric power is the main energy source for a modern society. Good management of electric power cycle is essential for a sustainable society. The electric power cycle is composed of Generation, Transmission, Distribution, and Consumption. Smart Grid (SG) is a system that integrated traditional grids with Information and Communication Technology (ICT). In addition, SG has the ability to integrate electrical power supply from both to main power substation and Distributed Generation (DG), which compensates for the power demand during peak times. However, SG still has a similar problem to the original grid in terms of active power loss, from electric current injecting through the transmission line. This paper solves the active power loss problem by feeder routing using the Adjusting Dijkstra's Cost Method, follow by deciding the allocation position and sizing of DG by the use of Evolutionary Computing, namely Harmony Search (HS), Artificial Bee Colony (ABC), and Particle Swarm Optimization (PSO). The experiments evaluate the performance of the algorithm using power flow analysis, Backward / Forward Sweep Method, on the IEEE 33 bus system. From the experimental results, PSO provides the best performance. The overall active power loss in the cases of 3 DGs was reduced from 202.67 to 52.29 kW, representing a reduction of 74.20%.


Abdel-Akher M. (2013), Voltage Stability Analysis of Unbalanced Distribution Systems Using Backward / Forward Sweep Load-Flow Analysis Method with Secant Predictor, IET Generation, Transmission & Distribution, 7, 309-317.
Alafnan H., Zhao J., Ma W. 2016. Prevention of overvoltage induced by large penetration of photovoltaics in distribution networks by electric vehicles, IEEE Transportation Electrification Conference and Expo, Asia-Pacific, 2016, pp. 525-530.
Aswini E., Seshu M. (2016), Placement of Renewable Distributed Generation Using Harmony Search Optimization Technique,
International Journal of Innovative Research in Science Engineering and Technology, 5, 1914-1924.
Baran M. E., Wu F. F. (1989), Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing, IEEE Transactions on Power Delivery, 4(2), 1401-1407.
Esmaeilian H. R., Fadaeinedjad R. (2015), Energy Loss Minimization in Distribution Systems Utilizing an Enhanced Reconfiguration Method Integrating Distributed Generation, IEEE Systems Journal, 9, 1430-1439.
Fahad A., Mohamed E. (2009), Modified Artificial Bee Colony Algorithm for Optimal Distributed Generation Sizing and Allocation in Distribution Systems, Electrical Power and Energy Conference, 2009, pp. 1-9.
Farhadi P., Ghadimi N., Sojoudi T. (2013), Distributed Generation Allocation in Radial Distribution Systems Using Various Particle Swarm Optimization Techniques, Przegl?d Elektrotechniczny, 89, 261-265.
Guerriche K. R., Bouktir T. (2015), Optimal Allocation and Sizing of Distributed Generation with Particle Swarm, Revue des Sciences et de la Technologie, 6, 59-69.
Huang X., Zhang Y., Huang H. (2014), Automatic Reactive Power Control in Distribution Network Based on Feeder Power Factor Assessment, IEEE Region 10 Symposium, Indonesia, pp. 1-4.
Jena S., Chauhan S. (2016), Solving Distribution Feeder Reconfiguration and Concurrent DG Installation Problems for Power Loss Minimization by Multi Swarm Cooperative PSO Algorithm, Proceeding of the IEEE/PES Transmission and Distribution Conference and Exposition, July 2016, pp. 1-9.
Jha, P., Vidyasagar, S. (2013), Dijkstra Algorithm for Feeder Routing of Radial Distribution System, IOSR Journal of Engineering, January 2013, 1-6.
Priya P. S., Reddy C. K. (2013), Optimal Placement of the DG in Radial Distribution System to Improve the Voltage Profile, International Journal of Science and Research (IJSR), 4, 2310-2315.
Rao R. S., Ravindra K., Satish K., Narasimham S.V.L. (2013), Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation, IEEE Transactions on Power Systems, 28, 317-325.
Tolabi H, B., Ali M. H., Rizwan M. (2015), Simultaneous Reconfiguration, Optimal Placement f DSTATCOM, and Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach, IEEE Transactions on Sustainable Energy, 6, 210-218.




How to Cite

Phawanaphinyo, P., Keeratipranon, N., & Khemapatapan, C. (2017). Optimal Active Energy Loss with Feeder Routing and Renewable Energy for Smart Grid Distribution. Journal of Reviews on Global Economics, 6, 269–278. https://doi.org/10.6000/1929-7092.2017.06.26



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