Multiple Installation of DG and DSTATCOM in Radial Distribution Network Using Lightning Search Algorithm

In this developed modern dynamic world the atmospheric pollution focus is now changing the power generation from conventional method into Non-conventional method. Distributed generations have been consecutively assimilated with distribution systems. Optimal size and site of Distributed generation (DG) and Distribution Static Compensator (DSTATCOM) have significant impacts on the system real power loss and also in addition improvement of voltage magnitude in distribution system. In this study, lightning search algorithm (LSA) is used to find out the optimum placement of DG and DSTATCOM in distribution system. Reduction of real power losses in the distribution system is taken as the main objective function. The proposed technique is examined by using IEEE-33 bus standard test system. The overall optimized results show the performance of the proposed technique.

[1]  N. Kumarappan,et al.  Sizing and siting of Distribution Generator for different loads using firefly algorithm , 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).

[2]  D. Das,et al.  Method for load-flow solution of radial distribution networks , 1999 .

[4]  D. Shirmohammadi,et al.  A compensation-based power flow method for weakly meshed distribution and transmission networks , 1988 .

[5]  Igor Papic,et al.  A new mathematical model and control of D-StatCom for operation under unbalanced conditions , 2004 .

[6]  Narayanan Kumarappan,et al.  Optimal installation of multiple DG units using competitive swarm optimizer (CSO) algorithm , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

[7]  S. Nilsson.  Special application considerations for custom power systems , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[8]  K. Ravi,et al.  Optimal size and siting of multiple DG and DSTATCOM in radial distribution system using Bacterial Foraging Optimization Algorithm , 2016 .

[9]  Narain G. Hingorani,et al.  Introducing custom power , 1995 .

[10]  Peng Li,et al.  An interactive operation strategy for microgrid cooperated with distribution system based on demand response , 2015, 2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT).

[11]  R. Srinivasas Rao,et al.  Optimal capacitor placement in a radial distribution system using Plant Growth Simulation Algorithm , 2008 .

[12]  T. Kulworawanichpong,et al.  Modeling, simulation and control of D-STATCOM using ATP/EMTP , 2008, 2008 13th International Conference on Harmonics and Quality of Power.

[13]  Nadarajah Mithulananthan,et al.  Multiple Distributed Generator Placement in Primary Distribution Networks for Loss Reduction , 2013, IEEE Transactions on Industrial Electronics.

[14]  M. Geethanjali,et al.  Application of Modified Bacterial Foraging Optimization algorithm for optimal placement and sizing of Distributed Generation , 2014, Expert Syst. Appl..

[15]  Arulraj Rajendran,et al.  Optimal Installation of Different DG Types in Radial Distribution System Considering Load Growth , 2017 .

[16]  Seyed Abbas Taher,et al.  Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm , 2014 .

[17]  Anwar Shahzad Siddiqui,et al.  Determination of optimal location of TCSC and STATCOM for congestion management in deregulated power system , 2017, Int. J. Syst. Assur. Eng. Manag..

[18]  Mohammad AlMuhaini,et al.  Reliability assessment of a microgrid distribution system with pv and storage , 2015, 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST).

[19]  Yun Zhang,et al.  Online Dynamic Security Assessment of Microgrid Interconnections in Smart Distribution Systems , 2015, IEEE Transactions on Power Systems.

[20]  Francisco Jurado,et al.  Optimization of distributed generation systems using a new discrete PSO and OPF , 2012 .

[21]  T. Jayabarathi,et al.  Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm , 2016 .

[22]  K. C. Divya,et al.  Models for wind turbine generating systems and their application in load flow studies , 2006 .

[23]  Antonio José Gil Mena,et al.  An efficient approach for the siting and sizing problem of distributed generation , 2015 .

[24]  A. A. Abou El-Ela,et al.  Maximal optimal benefits of distributed generation using genetic algorithms , 2010 .