Full Length Research Paper
Shirin Farhadi1 and Reza Dashti2*
1Azad University of Jasb, Iran.
2Iran University of Science and Technology, Iran.
Today, due to the development of distribution systems and increase of demand and load, the use of the source of scattered production has developed. The establishment of the installation place and the size of the source of scattered production decrease network loss, lead to best action of network as well as the recovery of the voltage profile. In this article, we use the genetic algorithm for relocating and finding the best sources of scattered production with active power production and reactive power production by arranging and using them. Also in this article, in addition to decreased loss, balanced voltage, stabilization and recovery of profile have purpose function. The results show that the system of 33 bass is the power and effectiveness of the method.
Key words: Scattered production, optimization, genetic logs.
|Abu-mouti FS (2010). A Priority-Ordered Constrained search technique for Optimal distributed generation Allocation In Radial Distribution Feeder systems.|
Acharya N, Mahat P, Mithulananthan N (2007). An analytical approach for DG allocation in primary distribution network. Int. J. Elect. Power Energy Syst. 28(10):669-678.
Chakravorty M, Das D (2001). Voltage stability analysis of radial distribution networks. Int. J. Elect. Power Energy Syst. 23(2):129-135.
|Elgerd OI (2007). Electric Energy Systems Theory: An Introduction McGraw-Hill Inc.|
|Golberg DE (1989). Genetic Algorithms in search, optimization and machine learning. Longman.|
Golshan MEH, Arefifar SA (2007). Optimal allocation of distributed generation and reactive sources considering tap positions of voltage regulators as control variables. European Transaction on Electrical Power, p. 17.
|Hedayati H, Nabaviniaki SA, Akbarmajid A (2006). A method for placement of DG units in distribution networks. IEEE Transactions on Power Delivery, p. 23.|
|Installation, operation, and maintenance costs for distributed generation technologies, EPRI, Palo Alto, CA, 2003.|
|Kashem MA, Le ADT, Negnevitsky M, Ledwich G (2008). Distributed generation generation for minimization of power losses in distribution systems. IEEE Power Engineering Society General Meeting, p. 8.|
|Kean A, Omalley M (2006). Optimal allocation of embedded generation on distribution networks. IEEE Transactions on Power Systems.|
Li Y, Yao D, Chen W (2005). Adaptive Particle Swarm Optimizer for Beam Angle Selection in Radiotherapy Planning. IEEE International Conference on Mechatronics & Automation, July2005, pp. 421-425.
|MIthulananthan N, Oo T, Phu LV (2006). Distributed generator placement in power distribution system using genetic algorithm to reduce losses. Thammasat Int. J. Sci. Technol. 9(3):55-62.|
|Nara K, Hayashi Y, Ikeda K, Ashizawa T (2001). Application of tabu search to optimal placement of distributed generators. IEEE Power Engineering Society Winter Meeting.|
|Rosehart W, Nowicki E (2007). Optimal placement of distributed generation. 14th Power System Computation Conference, Sevilla, Spain.|
|Vinothkumar K, Selvan MP (2009). Planning and Operation of Distributed Generations in Distribution Systems for Improved Voltage Profile. IEEE Power Engineering Society.|
Willis HL (2000). Analytical methods and rules of thumb for modeling DG-distribution interaction. IEEE Power Eng. Soc. Summer Meet. 3(3):143-1644.
Yanjun W, Yun Z (2008). Optimal Algorithm of Distribution Network Planning Including Distributed Generation. Nanjing China, DRPT, pp. 6-9.
|APA||Farhadi, S. & Dashti, R. (2014). Relocation of source of sporadic production using genetic algorithm in distribution network. Journal of Engineering and Technology Research, 6(8), 137-145.|
|Chicago||Shirin Farhadi and Reza Dashti. "Relocation of source of sporadic production using genetic algorithm in distribution network." Journal of Engineering and Technology Research 6, no. 8 (2014): 137-145.|
|MLA||Shirin Farhadi and Reza Dashti. "Relocation of source of sporadic production using genetic algorithm in distribution network." Journal of Engineering and Technology Research 6.8 (2014): 137-145.|