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Design and Simulation of Improved Particle Swarm Optimization Based Capacitor Placement in Distributed Generation System
Abstract
A major investigation was carried out to arrange the optimal condenser arrangement for the power
factor adaptation, improvement of the voltage profile and the decrease of losses within the
appropriation frameworks. In particular, a mechanical plant has large inductive loads with
unpredictable load conditions and an incredibly low power factor. In most situations, the key reason
why a customer sends a condenser bank is to keep the power bank free from punishment. Power factor
is a share of genuine power, which demonstrates how the electric equipment uses a great deal of
authentic power. An inductive or capacitive reaction and harmonics in the circuit contribute to a power
factor of some importance other than solidarity. The increase in electricity consumption and high load
thickness in the urban areas confuses the operation of power frames. The framework is expected to
extend the substation limit and the number of feeders to satisfy load requirements. However, due to
various criteria this might not be handy achieved with those services. The mechanism will guarantee a
longer life expectancy and greater reliability by reducing power misfortunes. Various techniques were
used to minimize financially power misfortunes by choosing the scale, region, and costs of the condenser
bank. The problem of condenser allocation in electrical distribution systems involves increasing
misfortune of energy and pinnacle power through methods for condenser facilities. A new approach to
determining framework competitive hub hubs in a conveyance framework for condenser arrangements
is discussed in this dissertation. The arranging technology has two components: the first is used to
recognize the mismatch factors of the up-and-coming areas of the condenser situation and, two is used
to recognize the dimensions of the condenser in order to reduce energy losses and the improvement of
voltage by positioning the condensers. The third is the genetic algorithm technique. The strategy
suggested is applied to the IEEE-34 bus test and the improved particle swarm optimization is applied
to 34-bus system and for optimization of objective function. The introduced methodology was able to
effectively minimize loss and boost the objective voltage profile feature for the test case.
References
Bhat M. Vittal, and N. Manjappa. Flower pollination algorithm-based sizing and placement of DG and D-STATCOM simultaneously in radial distribution systems 20th National Power Syst Conference (NPSC). IEEE Publications; 2018.
Amrane Y, et al. Optimal Capacitor Placement and Sizing in Radial Distribution Feeders using evolutionary Algorithm: a case study of the Algerian-Djanet distribution system International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM). IEEE Publications; 2018.
Asl T. Samimi, and S. Jamali. Optimal capacitor placement size and location of shunt capacitor for reduction of losses on distribution feeders International Conference on Clean Electrical Power. IEEE Publications; 2009.
Basyarach Niken Adriaty, Penangsang Ontoseno, Soeprijanto Adi. Optimal capacitor placement and sizing in radial distribution system using accelerated particle swarm optimization International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE Publications; 2017.
Baysal Yeşim Aysel, Altaş İsmail Hakkı. Power quality improvement via optimal capacitor placement in electrical distribution systems using symbiotic organisms search algorithm. Muğla J Sci Technol. 2017;3(1):64–8.
Bhimarasetti Ravi Teja, Kumar Ashwani. Capacitor placement in unbalanced radial distribution system for loss reduction 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS). IEEE Publications; 2015.
Ceylan Ogguzhan, Paudyal Sumit. Optimal capacitor placement and sizing considering load profile variations using moth-flame optimization algorithm International Conference on Modern Power Systems (MPS). IEEE Publications; 2017.
Deese Anthony S, Cecchi Valentina, Miu Karen. Capacitor placement and control experiment for Reconfigurable Distribution Automation and Control laboratory 2013. IEEE power & Energy Society Genera l meeting. IEEE Publications.
Soria, G. Estrada, JH Tovar Hernandez, and G. Gutierre Alcaraz. Methodology for Capacitor Placement in Distribution Systems using Linear Sensitivity Factors." IEEE Latin America Transactions 3.2. 2005:185–92.
Filho Costa D. Optimal capacitor placement in radial distribution system using QPSO. Simposio Brasileiro de sistemas Eletricos (SBSE). IEEE Publications; 2018.
Ramadan Husam A, Wahab Mohamed AA, El-Sayed AM, Hamada MM. A fuzzy-based approach for optimal allocation and sizing of capacitor banks. Electr Power Syst Res. 2014;106:232–40. doi: 10.1016/j.epsr.2013.08.019.
Isac S, Joyal K Suresh. Kumar, and P. Vijaya Kumar. Optimal capacitor placement in radial distribution system to minimize the loss using fuzzy logic control International Conference on Smart Structures and Systems. ICSSS. IEEE Publications; ’13. p. 2013.
Mohamed Amal Amin, Kamel Salah, Aly Mohamed M. A simple analytical technique for optimal capacitor placement in radial distribution systems Nineteenth International Middle East Power Syst Conference (MEPCON). IEEE Publications; 2017.
Mohapatra A, et al. A study on DG and capacitor placement in radial distribution system IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE Publications; 2012.
Ramalinga Raju M, Ramachandra Murthy KVS, Ravindra K. Direct search algorithm for capacitive compensation in radial distribution systems. Int J Electr Power Energy Syst. 2012;42(1):24–30. doi: 10.1016/j.ijepes.2012.03.006.
Kannan SM, Renuga P, Kalyani S, Muthukumaran E. Optimal capacitor placement in radial distribution feeders using fuzzy-differential evolution for dynamic load condition. J Inst Eng (India) S B. 2015;96(4):363–70. doi: 10.1007/s40031–014–0157–1.
Rai Ankur, Babu D Suresh, Venkataramu PS, Nagaraja MS. Artificial neural network application for prediction of reactive power compensation under line outage contingency. In: International Conference on Power, Energy and Control (ICPEC). IEEE Publications; 2013. p. 355–9.
Pranitha MP, Chandrakala KRM Vijaya. Optimal capacitor placement based improved reliability assessment of a distribution system International Conference on Intelligent Computing and Control (I2C2). IEEE Publications; 2017.
Rojas Luis, Garcia Rodolfo, Roa Luis. Optimal capacitor location for radial systems using genetic algorithms. IEEE Publications; 2006/PES Transmission & Distribution Conference and Exposition. Latin America, IEEE, 2006.
Sattianadan D, et al. Power loss minimization by the placement of DG in distribution system using PSO. Proceedings of the international conference on frontiers of intelligent computing: theory and applications (FICTA). Berlin, Heidelberg: Springer; 2013.
Reddy V Usha, Manoj A. Optimal capacitor placement for loss reduction in distribution systems using bat algorithm. IOSR J Eng. 2012;2(10):23–7.
Baghipour Reza, Hosseini S Mehdi, Boor Zahra. A water cycle algorithm for optimal allocation of DGs in distribution systems considering environmental profits. Int J Mechatron Electr Comput Technol. 2014;4(11):430–54.
Hung Duong. Quoc, Nadarajah Mithulananthan, RC Bansal. Analytical expressions for DG allocation in primary distribution networks. IEEE transactions on energy conversion 25, no. 3; 2010. p. 814–20.
Siripuram Ramakanth, Kumar DM Vinod. Optimal sizing and location of distributed generation using improved teaching learning-based optimization algorithm. Int J Adv Technol Eng Research. 2014:116–23.
Prabha D Rama, Jayabarathi T. Determining the optimal location and sizing of distributed generation unit using plant Growth simulation algorithm in a radial distribution network. WSEAS Trans Syst. 2014;13.
Sultana Sneha, Roy Provas Kumar. Optimal capacitor placement in radial distribution systems using teaching learning-based optimization. Int J Electr Power Energy Syst. 2014;54:387–98. doi: 10.1016/j.ijepes.2013.07.011.
Kim SH, Chaitanya TVK, Le-Ngoc T, Kim J. Rate maximization-based power allocation and relay selection with IRI consideration for two-path AF relaying. IEEE Trans Wirel Commun. 2015;14(11):6012–27. doi: 10.1109/TWC.2015.2446979.
Mishra A, Bhandakkar A. Selection of optimal location and size of distributed generation in distribution system using particle swarm optimization. Int J Eng Res Technol (IJERT). 2014;3(1):2008–13.
Divya K, Srinivasan S. Placing and sizing of dg in radial distribution system and identifying fault location in distribution system integrated with distributed generation 2015.
Das T, Ravi K, Devabalaji KR. Optimal allocation of DG and DSTATCOM in radial distribution system using cuckoo search optimization algorithm. Modell Simul Eng. 2015;2017.
Karthigeyan V, Navaneetha K, Singam B, Arikara Murali, Jindam Sreenivas. The study and review of energy efficient cooling techniques for telecom tower shelters. In: 3rd International Conference on Electrical Energy Systems (ICEES). IEEE Publications; 2016. p. 122–7.
Rao K. Srinivasa, and M. Nageswara Rao. "Multiple distributed generator allocation by Harmony search algorithm for loss reduction." In International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM). IEEE Publications; 2016. p. 59–64.
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