Optimal DG Location and Sizing in Semnan Power Distribution Networks in Iran

Distributed Generation (DG) sources are becoming more prominent in distribution systems due to increased demand for the electrical energy. The locations and capacities of DG sources will have an impact on system losses of distribution network. In this paper, Genetic Algorithm (GA) for solving the problem of optimal location and sizing of DG on distributed systems is presented. The objective is to minimize network power loss and better voltage regulation with in frame-work of system operational and security constraints in the radial distribution systems. A detailed performance analysis is carried out on 65 buses Semnan distribution network to demonstrate the effectiveness of the proposed methodology. KEYWORDS—Distributed generation, Genetic algorithm, Losses, Voltage profile.

[1]  Ashish P. Agalgaonkar,et al.  Placement and Penetration of Distributed Generation under Standard Market Design , 2004 .

[2]  P. A. Daly,et al.  Understanding the potential benefits of distributed generation on power delivery systems , 2001, 2001 Rural Electric Power Conference. Papers Presented at the 45th Annual Conference (Cat. No.01CH37214).

[3]  J.W. Bialek,et al.  Direct incorporation of fault level constraints in optimal power flow as a tool for network capacity analysis , 2005, IEEE Transactions on Power Systems.

[4]  Eleonora Riva Sanseverino,et al.  Risk based optimization for strategical planning of electrical distribution systems with dispersed generation , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[5]  M. Gandomkar,et al.  A Genetic–Based Tabu Search Algorithm for Optimal DG Allocation in Distribution Networks , 2005 .

[6]  Lennart Söder,et al.  Distributed generation : a definition , 2001 .

[7]  B. Venkatesh,et al.  Distribtuion System with Distributed Generation Load Flow , 2006, 2006 Large Engineering Systems Conference on Power Engineering.

[8]  Fernando L. Alvarado,et al.  Contingency ranking for voltage collapse via sensitivities from a single nose curve , 1999 .

[9]  Magdy M. A. Salama,et al.  Distributed generation technologies, definitions and benefits , 2004 .

[10]  M. F. AlHajri,et al.  Hybrid Particle Swarm Optimization Approach for Optimal Distribution Generation Sizing and Allocation in Distribution Systems , 2007, 2007 Canadian Conference on Electrical and Computer Engineering.

[11]  C. L. Masters Voltage rise: the big issue when connecting embedded generation to long 11 kV overhead lines , 2002 .

[12]  Johan Driesen,et al.  Optimal placement and sizing of distributed generator units using genetic optimization algorithms , 2005 .