Impact of distributed generation modes in optimal coordination between dG and capacitor simultaneously.

This paper describes the impact of the mode selection in Distributed Generation (DG) has in order to reduce the total power losses in the distribution system when coordination between the DG and capacitor is done simultaneously There are two modes available for the DG to operate which are the Power-Reactive Power (PQ) and Power-Voltage (PV) modes. The coordination between the DG and capacitor is a crucial task that needs to be done during the initial planning stage. Any error in identifying the power output and the location of the DG as well as the size and the location of the capacitor can increase the losses in distribution system. In this paper, some modifications were made on Artificial Bee Colony (ABC) by combining several steps on Artificial Immune System (AIS) will be used. Several cases studies are carried out to see the impact of mode selection on 33-bus distribution system by using MATLAB programming.

[1]  Dervis Karaboga,et al.  AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .

[2]  D.M. Falcao,et al.  Impact of distributed generation allocation and sizing on reliability, losses and voltage profile , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[3]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[4]  P. Paliwal,et al.  A comprehensive survey of optimization techniques used for Distributed Generator siting and sizing , 2012, 2012 Proceedings of IEEE Southeastcon.

[5]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[6]  A. Elmitwally,et al.  An approach for placement and sizing of capacitor banks in distribution networks with distributed wind generation , 2013 .

[7]  Ahad Kazemi,et al.  Placement of distributed generation unit and capacitor allocation in distribution systems using genetic algorithm , 2011, 2011 10th International Conference on Environment and Electrical Engineering.

[8]  M. M. Aman,et al.  Optimum Simultaneous DG and Capacitor Placement on the Basis of Minimization of Power Losses , 2013 .

[9]  M. Anitha,et al.  PLACEMENT OF DG AND CAPACITOR FOR LOSS REDUCTION AND RELIABILITY IMPROVEMENT IN RADIAL DISTRIBUTION SYSTEMS USING BFA , 2015 .

[10]  Christoph Haederli,et al.  Network integration of distributed power generation , 2002 .

[11]  M. E. El-Hawary,et al.  Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm , 2011, IEEE Transactions on Power Delivery.

[12]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[13]  Arne Hejde,et al.  Analysis of distribution systems with a high penetration of distributed generation , 2016 .

[14]  K. Tomsovic,et al.  Placement of dispersed generation systems for reduced losses , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[15]  Dipti Srinivasan,et al.  Impact of Distributed Generation on Power Distribution Systems , 2012 .

[16]  G. B. Jasmon,et al.  A novel method for loss minimization in distribution networks , 2000, DRPT2000. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. Proceedings (Cat. No.00EX382).

[17]  Goro Fujita,et al.  Distribution Network Loss Minimization via Simultaneous Distributed Generation Coordination with Network Reconfiguration , 2014 .