Authors:
Mogaligunta Sankaraiah,S.Suresh Reddy,M.Vijaya Kumar,DOI NO:
https://doi.org/10.26782/jmcms.spl.5/2020.01.00024Keywords:
Dispatchable distributed generation (DDG),,Voltage controlled devices (VCDs),switching operations (SOs),Grey wolf optimizer (GWO),Dynamic programming (DP),Abstract
A novel method proposed for the reduction of switching operations (SOs) of voltage controlled devices (VCDs) and system power loss in the presence of dispatchable distributed generation (DDG). In this method reactive power of DDG coordinated with voltage controlled devices (VCDs) like under load tap changers (ULTCs) and shunt capacitors (SCs) in order to curtail switching operations (SOs) of VCDs together with power loss. Reactive power coordination and power loss is formulated as a multi objective function (MOF), Grey wolf optimizer (GWO) algorithm is proposed for optimizing MOF with the aid of forecasted load one day in advance. Proposed method was tested on 10kv 16 nodes system in Matlab environment at different locations of DDG with different output profiles. The efficacy of proposed scheme is compared with conventional (CO) and particle swarm optimization (PSO) methods.Refference:
I. A. Askarzadeh, A. Rezazadeh, “A new heuristic optimization algorithm
for modelling of proton exchange membrane fuel cell: Bird mating
optimizer”, International Journal of Energy Research, Vol. 37, No. 10,
pp. 1196-1204, 2013.
II. A. H. Gandomi, A. H. Alavi, “Krill herd: a new bio inspired
optimization algorithm”, Communications in Nonlinear Simulations,
Vol. 17, No. 12, pp. 4831-4845, 2012.
III. A. R. Ahmadi, T. C. Green, “Optimal power flow for autonomous
regional active network management system”, IEEE Power & Energy
Society General Meeting, pp. 1-7, 2009.
IV. C. J. Dent, L. F. Ochoa, G. P. Harrison, “Network distributed generation
capacity analysis using OPF with voltage step constraints”, IEEE
Transactions on Power Systems, Vol. 25, No. 1, pp. 296-304, 2010.
V. E. Bonabeau, M. Doriga, G. Theraulaz, “Swarm intelligence: from
natural to artificial systems”, IEEE Transactions on Evolutionary
Computation, Vol. 4, No. 2, pp. 192-193, 2000.
VI. F. A. Vivan, D. Karlsson, “Combined local and remote voltage and
reactive power control in the presence of induction machine distributed
generation”, IEEE Transactions on Power Systems, Vol. 22, No. 4, pp.
2003-2012, 2007.
VII. F. A. Vivan, D. Karlsson, “Voltage and reactive power control in
systems with synchronous machine based distributed generation”, IEEE
Transactions on Power Delivery, Vol. 23, No. 2, pp. 1079-1087, 2008.
VIII. F. A. Vivan: “Voltage control and voltage stability of power distribution
systems in the presence of distributed generation”, Doctoral Dissertation,
U.T. Sweden, 2008.
IX. F. C. Lu, Y. Y. Hsu, “Reactive power/voltage control in a distribution
substation using dynamic programming”, Proc. Inst. Elect. Eng., Gen.,
Trans., Dist., Vol. 142, No. 6, pp. 639-645, 1995.
X. H. Jiayi, J. Chuanwen, X. Rong, “A review on distributed energy
resources and micro grid”, Renew. Sustain. Energy Rev.,Vol. 12, No. 1,
pp. 2472-2483, 2008.
XI. H. Li, F. Li, Y. Xu, D. T. Riyaz, J. D. Kueck, “Adaptive voltage control
with distributed energy sources: Algorithm, theoretical analysis,
simulation, and field test verification”, IEEE Transactions on Power
Systems, Vol. 25, No. 3, pp. 1638-1647, 2010.
XII. J. Kennedy, R. Eberhart, “Particle swarm optimization in neural
networks”, IEEE International Conference on Neural Networks, Perth,
Australia, December 1995.
XIII. J. O. Donnel: “Voltage management of networks with distributed
generation”, Doctoral Dissertation, U.K. Edinburgh, 2007.
XIV. L. Li, F. F. Zhang, C. Liu, B. Niu, “A hybrid artificial bee colony
algorithm with bacterial foraging optimization”, IEEE International
Conference on Cyber Technology in Automation, Control, and
Intelligent Systems, Shenyang, China, June 2015.
XV. M. Dorigo, M. Birattari, T. Stutzle, “Ant colony optimization”, IEEE
Computational Intelligence Magazine, Vol. 1, No. 1, pp. 28-39, 2006.
XVI. M. Sankaraiah, S. Suresh Reddy, M. Vijaya Kumar, “DFIG and voltage
controlled devices reactive power coordination using particle swarm
optimization”, IEEE International Conference for Convergence in
Technology, Manglore, India, Oct 2018.
XVII. M. Sankaraiah, S. Suresh Reddy, M. Vijaya Kumar, “Particle Swarm
Optimization based reactive power coordinated Control of distributed
generation and voltage controlled devices”, The Journal of CPRI, Vol.
13, No. 3, pp. 447-454, 2017.
XVIII. M. Sankaraiah, S. Suresh Reddy, M. Vijaya Kumar, “PSO based reactive
power coordination of PV system and voltage controlled devices”, Third
International Conference on Emerging Trends in Electrical,
Communications and Information Technology (Springer conference),
Ananthapuramu, India, Dec 2018.
XIX. R. H. Liang, C. K. Cheng, “Dispatch of main transformer ULTC and
capacitors in a distribution system”, IEEE Transactions on Power
Delivery, Vol. 16, No. 4, pp. 625-630, 2001.
XX. R. Storn, K. Price, “Differential evolution- a simple and efficient
heuristic for global optimization over continuous spaces”, Journal of
global optimization, Vol. 11, No. 4, pp. 341-359, 1997.
XXI. Ruey. H. sun, L. Chen Kuo, “Dispatch of main transformer ULTC and
capacitors in a distribution system”, IEEE Transactions on Power
Delivery, Vol. 16, No. 4, pp. 625-630, 2001.
XXII. S. Mirjalili, S. M. Mirjalili, A. Lewis, “Grey Wolf Optimizer”, Advances
in Engineering Software, Vol. 69, pp. 46-61, 2014.
XXIII. W. Sheng, K. Y. Liu, Y. S. Cheng, “A trust region SQP method for
coordinated voltage control in smart distribution system”, IEEE
Transactions on Smart Grid, Vol. 7, No. 1, pp. 381-391, 2015.
XXIV. W. Sheng, K. Y. Liu, Y. Liu, X. Ye, H. Kaiyuan, “A reactive power
coordination optimization method with renewable distributed generation
based on Improved harmony search”, IET Generation, Transmission &
Distribution, Vol. 10, No. 13, pp. 3152-3162, 2016.
XXV. W. T. Pan, “A new fruit fly optimization algorithm: taking the financial
distress model as an example”, Knowledge Based systems, Vol. 26, No.
8, pp. 69-74, 2012.
XXVI. X. S. Yang, “Firefly algorithm, stochastic test functions and design
optimization”, International Journal on Bio Inspired Computation, Vol.
2, No.2, pp. 78-84, 2010.
XXVII. X. S. Wang, S. Deb, “Cuckoo search via Levy flights in nature
&Biologically inspired Computing”, World Congress on Nature and
Biologically Inspired Computing, Coimbatore, India, December 2009.
XXVIII. X. Yao, Y. Liu, G. Lin, “Evolutionary programming made faster”,
IEEE transactions on Evolutionary Computation, Vol. 3, No. 2, pp. 82-
102, 1999.
XXIX. Y. J. Kim, S. J. Ahn, P. I. Hwang, P. G. Chan, S. I. Moon, “Coordinated
control of a DG and voltage controlled devices using a dynamic
programming algorithm”, IEEE Transactions on Power Systems, Vol.
28, No. 1, pp. 42-51, 2013.
XXX. Y. Shiqin, J. Jianjun, Y. Guangxing, “A Dolphin Partner
Optimization”;World Congress on Nature and Biologically Inspired
Computing, Coimbatore, India, December 2009.