Optimal Sizing and Location of Shunt Capacitors in Medium Voltage Underground Power Cables: A Case of Minimum Cost
AbstractThis paper introduces a method to determine optimal sizing and location of shunt capacitors in medium voltage Underground Power Cables or in distribution system. To execute this method, two models of standard branch and the Newton-Raphson method are also mentioned to analyze and determine values of bus voltage and currents going through lines in whole system. The EN 50160 standard is introduced to evaluate all operational parameters and propose solutions to reduce risks. In additionally, the cost function method is introduced basing on cost of purchasing compensative device, power loss in own compensators and whole system after compensating. By considering partial derivative of cost function with respect to variables, optimal sizing and location of shunt capacitors can be determined for all buses in the system. Analyzing the system by using the Newton-Raphson method in stable mode, all operational parameters are evaluated to see the benefit of placing capacitors in some criterions: reduce the current going through all lines and increase value of bus voltage in whole system. Theory research are verified by simulation results carried out in Matlab 2016 software.
 Steven C. Chapra, Raymond P. Canale (2010), “Numerical Methods for Engineers”, McGraw-Hill Publisher, Sixth edition, ISBN: 978-0-07-340106-5.
 Sunny Katyara, Sunny Kumar, Saran Memon (2016), “Voltage Characteristics: An Overlooked Contributor to Power Quality Assessment”, International Journal of Emerging Engineering Research and Technology, ISSN: 2349-4409.
 Voltage Characteristics of electricity supplied by Public Distribution Systems, Standard CENELEC EN50160.
 Priyanka Das, S Banerjee, (2014), “Optimal Sizing and Placement of Capacitor in A Radial Distribution System Using Loss Sensitivity”, International Journal of Engineering and Computer Science, Vol. 3, Issue 4, ISSN: 2319-7242.
 P. Vijay Babu, S. P. Singh (2016), “Capacitor Allocation in Radial Distribution System for maximal Energy Savings”, Power Systems Conference, ISBN: 978-1-4673-9968-5, IEEE Xplore.
 Sarfaraz Nawaz, Ajay Kumar Bansal, Mahaveer Prasad Sharma (2017), A Novel Analytical Technique for Optimal Allocation of Capacitors in Radial Distribution Systems, Journal of Engineering Technological Sciences, ISSN: 2337-5779.
 Mohammadhosein Dideban, Noradin Ghadimi, Mohammad Bagher Ahmadi, Mohammmad Karimi, (2013), “Optimal Location and Sizing of Shunt Capacitors in Distribution Systems by Considering Different Load Scenarios”, Journal of Electrical Engineering and Technology, ISSN: 2093-7423.
 John J.Grainger, William D.Stevenson (1994), “Power System Analysis”, MaCraw-Hill, ISBN: 0-07-061293-5.
 Fadi AlAlamat (2015), “Increasing the hosting Capacity of Radial Distribution Grids in Jordan”, https://uu.diva-portal.org/smash/get/diva2:833570/FULLTEXT01.pdf
 S. Neelima, P.S. Subramanyam (2011), “Efficient Optimal Sizing and Allocation of Capacitors in Radial Distribution Systems Using DRDLF and Differential Evolution”, International Journal on Electrical and Power Engineering, Vol.02, No.03, ISSN 2158-7574.
 Vladimir Goryunov, Stanislav Girshin, Evgenii Kuznetsov, Aleksandr Bigun, Elena Petrova and Alexey Lyashkov (2017), “Optimal Sizing of Capacitor Banks to Reduce Power Losses - With Accounting of Temperature Dependence of Bare Overhead Conductors”, Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems, ISBN: 978-989-758-241-7.
 N. Gnanasekaran, S.Chandramohan, T.D. Sudhahar, P. Sathish Kurmar (2015), “Maximum Cost Saving Approach for Optimal Capacitor Placement in Radial Distribution Systems Using Modified ABC Algorithm”, International Journal on Electrical Engineering and Informatics, Vol. 7, No. 4, ISSN 2087-5886.
 Oscar D. Montoya Giraldo, Luis F. Grisales Norena, Victor M. Garrido Arevalo (2017), “Optimal Location and Sizing of Capacitors in Radial Distribution Networks Using an Exact MINLP Model for Operating Costs Minimization”, WSEAS TRANSACTIONS on BUSINESS and ECONOMICS, ISSN: 2224-2899.
This work is licensed under a Creative Commons Attribution 4.0 International License.