Improving Performance And Loss Minimization Of Distribution System With 33 Bus Dg System
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2021 by IJETT Journal|
|Year of Publication : 2021|
|Authors : Surbhi Gupta
|DOI : 10.14445/22315381/IJETT-V69I1P221|
MLA Style: Surbhi Gupta. "Improving Performance And Loss Minimization Of Distribution System With 33 Bus Dg System" International Journal of Engineering Trends and Technology 69.1(2021):132-138.
APA Style:Surbhi Gupta. Improving Performance And Loss Minimization Of Distribution System With 33 Bus Dg System International Journal of Engineering Trends and Technology, 69(1), 132-138.
Distributed generation sets produce electrical energy from a convenient fuel source, which is dependent on the categories such as wind speed and solar concentration etc., to diminish the effect on the main power supply. The increase in demand can be overcome by using natural resources like wind and solar energy. In this paper, DG as a Wind source is integrated with a 33 bus system to minimize the loss and see the improvement in overall system performance. Variation in wind speed is taken as input parameter and one of the Distributed Generation resources (DG).
 P. Kayal and C. K. Chanda.,Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement, Int. J. Electr. Power Energy Syst., 53(2013) 795–809.
 U. Singh, R. Salgotra, and M. Rattan.,A Novel Binary Spider Monkey Optimization Algorithm for Thinning of Concentric Circular Antenna Arrays.,IETE J. Res.,62(6)(2016) 736–744.
 S. Aggarwal, A. Jindal, R. Chaudhary, A. Dua, G. S. Aujla, and N. Kumar.,EnergyChain: Enabling energy trading for smart homes using blockchains in smart grid ecosystem.,in Proceedings of the 1st ACM MobiHoc Workshop on Networking and Cybersecurity for Smart Cities, SmartCitiesSecurity (2018).
 C. K. Das, O. Bass, G. Kothapalli, T. S. Mahmoud, and D. Habibi.,Optimal placement of distributed energy storage systems in distribution networks using artificial bee colony algorithm,” Appl. Energy, 232(2018) 212–228.
 S. Gopiya Naik, D. K. Khatod, and M. P. Sharma, “Optimal allocation of combined DG and capacitor for real power loss minimization in distribution networks.,Int. J. Electr. Power Energy Syst., 53(2013)967–973(2013).
 K. Mahmoud, N. Yorino, and A. Ahmed.,Optimal Distributed Generation Allocation in Distribution Systems for Loss Minimization., IEEE Trans. Power Syst., 31(2)(2016) 960–969.
 N. Mittal, U. Singh, and B. S. Sohi.,A novel energy efficient stable clustering approach for wireless sensor networks,” Wirel. Pers. Commun., 95(3)(2017) 2947–2971.
 M. K. Gupta et al., “Parametric optimization and process capability analysis for machining of nickel-based superalloy,” Int. J. Adv. Manuf. Technol., 102(2019) 9–12,3995–4009.
 K. R. Devabalaji and K. Ravi, “Optimal size and siting of multiple DG and DSTATCOM in radial distribution system using Bacterial Foraging Optimization Algorithm.,Ain Shams Eng. J., 7(3), 959–971, 2016.
 M. A. Kashem, G. B. Jasmon, and V. Ganapathy, New approach of distribution system reconfiguration for loss minimization, Int. J. Electr. Power Energy Syst., 22(4)(2000) 269–276.
 R. Sanjay, T. Jayabarathi, T. Raghunathan, V. Ramesh, and N. Mithulananthan, Optimal allocation of distributed generation using hybrid grey Wolf optimizer,IEEE Access, 5(2017) 14807–14818.
 C. Yammani, S. Maheswarapu, and S. K. Matam,A Multi-objective Shuffled Bat algorithm for optimal placement and sizing of multi distributed generations with different load models,Int. J. Electr. Power Energy Syst., 79(2016) 120–131.
 M. Vatani, D. S. Alkaran, M. J. Sanjari, and G. B. Gharehpetian, Multiple distributed generation units allocation in distribution network for loss reduction based on a combination of analytical and genetic algorithm methods,IET Gener. Transm. Distrib.,10(1)(2016) 66–72.
 M. M. Othman, W. El-Khattam, Y. G. Hegazy, and A. Y. Abdelaziz,Optimal placement and sizing of distributed generators in unbalanced distribution systems using supervised big bang-big crunch method,IEEE Trans. Power Syst., 30(2)(2015) 911–919.
 S. Saha and V. Mukherjee,Optimal placement and sizing of DGs in RDS using chaos embedded SOS algorithm,IET Gener. Transm. Distrib., 10(14)(2016) 3671–3680.
 A. Parizad, A. Khazali, and M. Kalantar,Optimal placement of distributed generation with sensitivity factors considering voltage stability and losses indices,in Proceedings - 2010 18th Iranian Conference on Electrical Engineering, ICEE, (2010),848–855.
 J. P. Singh and R. S. Bali, A hybrid backbone based clustering algorithm for vehicular ad-hoc networks, in Procedia Computer Science, 46(2015) 005–1013.
 H. R. Esmaeilian and R. Fadaeinedjad, Energy Loss Minimization in Distribution Systems Utilizing an Enhanced Reconfiguration Method Integrating Distributed Generation,IEEE Syst. J., 9(4)(2015) 1430–1439.
 S. A. ChithraDevi, L. Lakshminarasimman, and R. Balamurugan, Stud Krill herd Algorithm for multiple DG placement and sizing in a radial distribution system,Eng. Sci. Technol. an Int. J., 20(2)(2017) 748–759.
 S. Naveen, K. Sathish Kumar, and K. Rajalakshmi.,Distribution system reconfiguration for loss minimization using modified bacterial foraging optimization algorithm., Int. J. Electr. Power Energy Syst., 69(2015) 90–97.
 A. Mohamed Imran and M. Kowsalya,Optimal Distributed Generation and capacitor placement in power distribution networks for power loss minimization, in 2014 International Conference on Advances in Electrical Engineering, ICAEE 2014, (2014).
 M. Kaur, H. K. Gianey, D. Singh, and M. Sabharwal,Multi-objective differential evolution based random forest for e-health applications, Mod. Phys. Lett. B, 33(5)(2019).
 Lalita, A. P. Singh, and R. K. Sharma,Synthesis and characterization of graft copolymers of chitosan with NIPAM and binary monomers for removal of Cr(VI), Cu(II) and Fe(II) metal ions from aqueous solutions,” Int. J. Biol. Macromol., 99(2017) 409–426.
 A. Gupta, D. Singh, and M. Kaur, An efficient image encryption using non-dominated sorting genetic algorithm-III based 4-D chaotic maps Image encryption,J. Ambient Intell. Humaniz. Comput., 11(3)(2020) SI, 1309–1324.
 G. Sharma, S. Sharma, and S. Gujral,A Novel Way of Assessing Software Bug Severity Using Dictionary of Critical Terms, in Procedia Computer Science, 70(2015) 632–639.
Distributed Generation, Wind Energy, IEEE 33 Bus system, Optimization, Innovation