(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Technology and Engineering Exploration (IJATEE)

ISSN (Print):2394-5443    ISSN (Online):2394-7454
Volume-8 Issue-85 December-2021
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Paper Title : Minimization of losses in a distribution system with network reconfiguration, distributed generation and D-STATCOM
Author Name : Surender Reddy Salkuti
Abstract :

The increasing power demand in the distribution networks is the major driving force for the power industry to move towards the technological revolution, power industry deregulation, and privatization. This paper proposes an approach to reduce power losses in the Radial Distribution System (RDS) employing Network Reconfiguration (NR) and Distributed Generation (DG). This work proposes different combinations of NR, DG, and Distribution Static Compensator (D-STATCOM) integrations to handle the technical, economic, environmental, and reliability concerns of RDSs. Here, the Differential Evolution Algorithm (DEA) is used for solving the proposed problem. Simulations are performed on IEEE-69 bus RDS. The obtained results reveal that by simultaneous allocation of DG and D-STATCOM units along with NR has resulted in an 82.92% reduction in power losses when compared to the system with base case configuration. And also, by applying the proposed approach the minimum voltage in the system has been increased to 0.9805 p.u. from 0.9085 p.u.

Keywords : Network reconfiguration, Distributed generation, Power loss, D-STATCOM, Distribution system, Differential evolution.
Cite this article : Salkuti SR. Minimization of losses in a distribution system with network reconfiguration, distributed generation and D-STATCOM . International Journal of Advanced Technology and Engineering Exploration. 2021; 8(85):1557-1567. DOI:10.19101/IJATEE.2021.874693.
References :
[1]Peponis GJ, Papadopoulos MP, Hatziargyriou ND. Distribution network reconfiguration to minimize resistive line losses. IEEE Transactions on Power Delivery. 1995; 10(3):1338-42.
[Crossref] [Google Scholar]
[2]Pamshetti VB, Singh S, Singh SP. Combined impact of network reconfiguration and volt-var control devices on energy savings in the presence of distributed generation. IEEE Systems Journal. 2019; 14(1):995-1006.
[Crossref] [Google Scholar]
[3]Thiruvenkadam S, Kim HJ, Ra IH. Optimal sizing and location identification of suitable compensator in a radial distribution network through fuzzy-flower pollination optimization algorithm. In international conference on inventive computation technologies 2020 (pp. 576-83). IEEE.
[Crossref] [Google Scholar]
[4]Liu Y, Li J, Wu L. Coordinated optimal network reconfiguration and voltage regulator/DER control for unbalanced distribution systems. IEEE Transactions on Smart Grid. 2018; 10(3):2912-22.
[Crossref] [Google Scholar]
[5]Prasad K, Ranjan R, Sahoo NC, Chaturvedi A. Optimal reconfiguration of radial distribution systems using a fuzzy mutated genetic algorithm. IEEE Transactions on Power Delivery. 2005; 20(2):1211-3.
[Crossref] [Google Scholar]
[6]Thukaram DH, Banda HW, Jerome J. A robust three phase power flow algorithm for radial distribution systems. Electric Power Systems Research. 1999; 50(3):227-36.
[Crossref] [Google Scholar]
[7]Salkuti SR. Optimal location and sizing of shunt capacitors with distributed generation in distribution systems. ECTI Transactions on Electrical Engineering, Electronics, and Communications. 2021; 19(1):34-42.
[Crossref] [Google Scholar]
[8]Sambaiah KS, Jayabarathi T. Loss minimization techniques for optimal operation and planning of distribution systems: a review of different methodologies. International Transactions on Electrical Energy Systems. 2020; 30(2).
[Crossref] [Google Scholar]
[9]Leghari ZH, Hassan MY, Said DM, Memon ZA, Hussain S. An efficient framework for integrating distributed generation and capacitor units for simultaneous grid‐connected and islanded network operations. International Journal of Energy Research. 2021; 45(10):14920-58.
[Crossref] [Google Scholar]
[10]Kanwar N, Gupta N, Niazi KR, Swarnkar A. Impact of optimal scheduling of DRs and network reconfiguration on the performance of active distribution systems. In India international conference on power electronics 2018 (pp. 1-6). IEEE.
[Crossref] [Google Scholar]
[11]Al SM, Mokhlis H, Mansor NN, Mohamad H, Suyono H, Sapari NM. Fast optimal network reconfiguration with guided initialization based on a simplified network approach. IEEE Access. 2020; 8:11948-63.
[Crossref] [Google Scholar]
[12]Muhammad MA, Mokhlis H, Naidu K, Amin A, Franco JF, Othman M. Distribution network planning enhancement via network reconfiguration and DG integration using dataset approach and water cycle algorithm. Journal of Modern Power Systems and Clean Energy. 2019; 8(1):86-93.
[Crossref] [Google Scholar]
[13]Zhan J, Liu W, Chung CY, Yang J. Switch opening and exchange method for stochastic distribution network reconfiguration. IEEE Transactions on Smart Grid. 2020; 11(4):2995-3007.
[Crossref] [Google Scholar]
[14]Lee C, Liu C, Mehrotra S, Bie Z. Robust distribution network reconfiguration. IEEE Transactions on Smart Grid. 2014; 6(2):836-42.
[Crossref] [Google Scholar]
[15]Cui Z, Bai X, Li P, Li B, Cheng J, Su X, et al. Optimal strategies for distribution network reconfiguration considering uncertain wind power. CSEE Journal of Power and Energy Systems. 2020; 6(3):662-71.
[Crossref] [Google Scholar]
[16]Tolabi HB, Ali MH, Rizwan M. Simultaneous reconfiguration, optimal placement of DSTATCOM, and photovoltaic array in a distribution system based on fuzzy-ACO approach. IEEE Transactions on Sustainable Energy. 2014; 6(1):210-8.
[Crossref] [Google Scholar]
[17]Peng Q, Tang Y, Low SH. Feeder reconfiguration in distribution networks based on convex relaxation of OPF. IEEE Transactions on Power Systems. 2014; 30(4):1793-804.
[Crossref] [Google Scholar]
[18]Magadum RB, Kulkarni DB. Power loss minimization of RDNs with network reconfiguration and capacitor. In international conference on communication and signal processing 2020 (pp. 1506-10). IEEE.
[Crossref] [Google Scholar]
[19]Gallano RJ, Nerves AC. Multi-objective optimization of distribution network reconfiguration with capacitor and distributed generator placement. In TENCON 2014-2014 region 10 conference 2014 (pp. 1-6). IEEE.
[Crossref] [Google Scholar]
[20]Ajaja A, Galiana FD. Optimal reconfiguration of distribution networks using MILP and supporting hyperplanes (HYPER). In power & energy society general meeting 2013 (pp. 1-5). IEEE.
[Crossref] [Google Scholar]
[21]Gomes FV, Carneiro S, Pereira JL, Vinagre MP, Garcia PA, De ALR. A new distribution system reconfiguration approach using optimum power flow and sensitivity analysis for loss reduction. IEEE Transactions on Power Systems. 2006; 21(4):1616-23.
[Crossref] [Google Scholar]
[22]Salkuti SR. Optimal allocation of DG and D-STATCOM in a distribution system using evolutionary based bat algorithm. International Journal of Advanced Computer Science and Applications. 2021; 12(4):360-5.
[Crossref] [Google Scholar]
[23]Rao RS, Narasimham SV, Raju MR, Rao AS. Optimal network reconfiguration of large-scale distribution system using harmony search algorithm. IEEE Transactions on Power Systems. 2010; 26(3):1080-8.
[Crossref] [Google Scholar]
[24]Salkuti SR. Feeder reconfiguration in unbalanced distribution system with wind and solar generation using ant lion optimization. International Journal of Advanced Computer Science and Applications. 2021; 12(3):31-9.
[Google Scholar]
[25]Peponis GJ, Papadopulos MP, Hatziargyriou ND. Optimal operation of distribution networks. IEEE Transactions on Power Systems. 1996; 11(1):59-67.
[Crossref] [Google Scholar]
[26]Biswas PP, Suganthan PN, Amaratunga GA. Distribution network reconfiguration together with distributed generator and shunt capacitor allocation for loss minimization. In congress on evolutionary computation 2018 (pp. 1-7). IEEE.
[Crossref] [Google Scholar]
[27]Salkuti SR. Multi-objective based optimal network reconfiguration using crow search algorithm. International Journal of Advanced Computer Science and Applications. 2021; 12(3): 86-95.
[28]Swarnkar A, Gupta N, Niazi KR. Optimal placement of fixed and switched shunt capacitors for large-scale distribution systems using genetic algorithms. In PES innovative smart grid technologies conference Europe 2010 (pp. 1-8). IEEE.
[Crossref] [Google Scholar]
[29]Ding F, Loparo KA. Feeder reconfiguration for unbalanced distribution systems with distributed generation: a hierarchical decentralized approach. IEEE Transactions on Power Systems. 2015; 31(2):1633-42.
[Crossref] [Google Scholar]
[30]Raut U, Mishra S. Enhanced sine–cosine algorithm for optimal planning of distribution network by incorporating network reconfiguration and distributed generation. Arabian Journal for Science and Engineering. 2021; 46(2):1029-51.
[Crossref] [Google Scholar]
[31]Badran O, Mekhilef S, Mokhlis H, Dahalan W. Optimal reconfiguration of distribution system connected with distributed generations: a review of different methodologies. Renewable and Sustainable Energy Reviews. 2017; 73:854-67.
[Crossref] [Google Scholar]
[32]Buhari M, Levi V, Kapetanaki A. Cable replacement considering optimal wind integration and network reconfiguration. IEEE Transactions on Smart Grid. 2017; 9(6):5752-63.
[Crossref] [Google Scholar]
[33]Scenna F, Anaut D, Passoni LI, Meschino GJ. Reconfiguration of electrical networks by an ant colony optimization algorithm. IEEE Latin America Transactions. 2013; 11(1):538-44.
[Crossref] [Google Scholar]
[34]Esmaeilian HR, Fadaeinedjad R. Optimal reconfiguration and capacitor allocation in unbalanced distribution network considering power quality issues. In international conference and exhibition on electricity distribution. 2013 (pp. 1-4).
[Google Scholar]
[35]Fu YY, Chiang HD. Toward optimal multiperiod network reconfiguration for increasing the hosting capacity of distribution networks. IEEE Transactions on Power Delivery. 2018; 33(5):2294-304.
[Crossref] [Google Scholar]
[36]Kumawat M, Gupta N, Jain N, Bansal RC. Optimal planning of distributed energy resources in harmonics polluted distribution system. Swarm and Evolutionary Computation. 2018; 39:99-113.
[Crossref] [Google Scholar]
[37]Shaheen A, Elsayed A, Ginidi A, El-sehiemy R, Elattar E. Reconfiguration of electrical distribution network-based DG and capacitors allocations using artificial ecosystem optimizer: practical case study. Alexandria Engineering Journal. 2021.
[Crossref] [Google Scholar]
[38]Shaik MA, Mareddy PL, Visali N. Enhancement of voltage profile in the distribution system by reconfiguring with DG placement using equilibrium optimizer. Alexandria Engineering Journal. 2021; 61(5):4081-93.
[Crossref] [Google Scholar]
[39]Veerasamy V, Wahab NI, Ramachandran R, Othman ML, Hizam H, Devendran VS, et al. Recurrent network based power flow solution for voltage stability assessment and improvement with distributed energy sources. Applied Energy. 2021.
[Crossref] [Google Scholar]
[40]Kayal P, Chanda CK. Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement. International Journal of Electrical Power & Energy Systems. 2013; 53:795-809.
[Crossref] [Google Scholar]
[41]Sultana B, Mustafa MW, Sultana U, Bhatti AR. Review on reliability improvement and power loss reduction in distribution system via network reconfiguration. Renewable and Sustainable Energy Reviews. 2016; 66:297-310.
[Crossref] [Google Scholar]
[42]Raut U, Mishra S. An improved sine–cosine algorithm for simultaneous network reconfiguration and DG allocation in power distribution systems. Applied Soft Computing. 2020.
[Crossref] [Google Scholar]
[43]Altun T, Madani R, Yadav AP, Nasir A, Davoudi A. Optimal reconfiguration of DC networks. IEEE Transactions on Power Systems. 2020; 35(6):4272-84.
[Crossref] [Google Scholar]
[44]Savier JS, Das D. Impact of network reconfiguration on loss allocation of radial distribution systems. IEEE Transactions on Power Delivery. 2007; 22(4):2473-80.
[Crossref] [Google Scholar]