Open Access Open Access  Restricted Access Subscription or Fee Access

A Study On Power Losses And Reduction of Power Losses In Power System

Sonu Poonia, Sandeep .

Abstract


Now the world's power supply system is a large unit, large grid, high voltage as the main characteristics of the centralized single system. Although the power load of the world's number is powered by such a single large power grid, the demand for quality and safety reliability of energy and power supply is increasing in today's society, and the large power grid cannot meet this requirement because of its own shortcomings. . In the examination, we proposed a calculation for decreasing dynamic and receptive power misfortunes of 34 Bus System. The decrease of misfortunes done utilizing Wind source DG. Power misfortune mirrors the compelling use pace of energy and the administration level of influence matrices.  In this paper, we propose a joined force misfortune decrease technique enhancement structure to further develop the influence misfortune decrease impact in a dispersion organization. &e flimsy parts of the dissemination network are broke down dependent on power stream computation & relating power misfortune decrease techniques are created thinking about the accompanying three viewpoints: supplanting appropriation lines, conveyance transformers, and responsive influence pay. A joined power misfortune decrease technique enhancement model considering the thorough advantages of influence misfortune decrease is set up. A technique for tackling the enhancement model dependent on the money saving advantage proportion is likewise proposed. Examinations dependent on the dataset from Tianjin show that the proposed misfortune decrease advancement technique can viably diminish influence misfortune and form a sensible misfortune decrease adjustment plot in the dispersion organization.

 


Keywords


Power Loss, Active Power, Reactive Power, Distribution System, Grid System

Full Text:

PDF

References


J.B. Leite and J.R.S. Mantovani, “Detecting and locating nontechnical losses in modern distribution networks,” IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 1023–1032, 2018.

J. Jun Wang, Z. Jiangping Yu, and J. Yu, “Practical calculation method of theoretical line loss in 10 kV power distribution network based on Dscada,” in Proceedings of the 2008 China International Conference on Electricity Distribution, Guangzhou, China, December 2008.

C.M.P. Dos Santos, “Determination of electric power losses in distribution systems,” in Proceedings of the 2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America, Caracas, Venezuela, August 2006.

S. Zhang, X. Dong, Y. Xing, and Y. Wang, “Analysis of influencing factors of transmission line loss based on GBDT algorithm,” in Proceedings of the 2019 International Conference on Communications, Information System and Computer Engineering (CISCE), Haikou, China, July 2019.

J.F. Manirakiza and A.O. Ekwue, “Technical losses reduction strategies in a transmission network,” in Proceedings of the 2019 IEEE Africon, Accra, Ghana, September 2019.

M. Kundu, S. Jadhav, and K. Bagdia, “Technical loss reduction through active repair of distribution transformers: results from the field,” in Proceedings of the 2017 7th International Conference on Power Systems (ICPS), Pune, India, December 2017.

D.-S. He, W. Lin, and Z.-Q. Liang, “&e Energy efficiency diagnosis research of regional power grid loss reduction,” in Proceedings of the 2014 China International Conference on Electricity Distribution (CICED), Shenzhen, Chinadoi, September 2014.

M.T. Au, T.M. Anthony, and M. Mohamad, “Strategies in technical loss reduction and it’s impact on harmonic performance of distribution network,” in in Proceedings of the 2009 IEEE Bucharest PowerTech, Bucharest, Romania, June 2009.

L. Ying, M. Liu, L. Deng et al., “A comprehensive review of the loss reduction in distribution network,” Power System Protection and Control, vol. 45, no. 19, pp. 162–169, 2017.

D.K. Khatod, V. Pant, and J. Sharma, “Evolutionary programming based optimal placement of renewable distributed generators,” IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 683–695, 2013.

B.R. Pereira, G.R.M. Martins da Costa, J. Contreras, and J.R.S. Mantovani, “Optimal distributed generation and reactive power allocation in electrical distribution systems,” IEEE Transactions on Sustainable Energy, vol. 7, no. 3, pp. 975–984, 2016.

L. Xie, Z. Tang, X. Huang et al., “Bi-layer dynamic reconfiguration of a distribution network considering the uncertainty of distributed generation and electric vehicles,” Power System Protection and Control, vol. 48, no. 10, pp. 1–11, 2020.

X. Wang, Z. Wei, G. Sun et al., “Multi-objective distribution network reconfiguration considering uncertainties of distributed generation and load,” Electric Power Automation Equipment, vol. 36, no. 6, pp. 116–121, 2016.

Y.J. Zhang, X.T. Zhang, Q.H. Li, L. Ran, and Z.X. Cai, “Gray theory based energy saving potential evaluation and planning for distribution networks,” International Journal of Electrical Power & Energy Systems, vol. 57, pp. 298–303, 2014.

B.C. Neagu, O. Ivanov, and G. Georgescu, “Reactive power compensation in distribution networks using the bat algorithm,” in Prceedings of the 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), Iasi, Romania, October 2016.

A.R. Gupta and A. Kumar, “Energy saving using D-STATCOM placement in radial distribution system under reconfigured network,” Energy Procedia, vol. 90, pp. 124–136, 2016.

S.A. Nowdeh, I.F. Davoudkhani, M.J.H. Moghaddam et al., “Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method,” Applied Soft Computing, vol. 77, pp. 761–779, 2019.

W. Huang, J. Jiang, W. Chen et al., “Study on differentiated energy saving and loss reduction countermeasures for medium-voltage and low-voltage distribution network,” Power Capacitor & Reactive Power Compensation, vol. 41, no. 5, pp. 0164–0170, 2020.

L. Ding, “Research on the influence of aging and high resistance grounding fault on 10 kV line,” Jiangxi Electric Power, vol. 44, no. 8, pp. 35–38, 2020.

S. Ledgerwood and J. Pfeifenberger, “Using virtual bids to manipulate value of financial transmission rights,” Electricity J., vol. 26, no. 9, pp. 9–25, 2013.

J. Parsons, C. Colbert, J. Larrieu, T. Martin, and E. Mastrangelo, “Financial arbitrage and efficient dispatch in wholesale electricity markets,” MIT Center for Energy and Environmental Policy Research, 2015. 2015 annual report on market issues and performance, Available online at:

J. Kambhu, “Trading risk, market liquidity, and Convergnce trading in interest rate swap spread,” Economic Policy Review, vol. 12, no. 1,2006.

P. Kondor, “Risk in dynamic arbitrage: price effects of Convergnce trading,” The Journal of Finance, vol. 64, no. 2, pp. 631–655, 2009.

J. Liu and A. Timmermann, “Optimal Convergnce trade strategies,” Review of Financial Studies, vol. 26, no. 4, pp. 1048–1086, 2013.

A. Jha and F.A. Wolak, “Testing for market efficiency with transactions costs: application to Convergnce bidding in wholesale electricity markets,” in Industrial Org. Seminar, Yale University. Citeseer, 2013.

I. Mercadal, “Dynamic competition and arbitrage in electricity markets: role of financial players”, Available online at: http://home.uchicago. edu/∼ignaciamercadal/IgnaciaMercadalJMP.pdf.

C. Woo, J. Zarnikau, E. Cutter, S. Ho, and H. Leung, “Virtual bidding, wind generation and california‟s day-ahead electricity forward premium,” Electricity J., vol. 28, no. 1, pp. 29–48, 2015.

G.K.Y. Shan, C. Prete and D. Miller, “Modeling and detecting bidding anomalies in day-ahead electricity markets,” in 11th Workshop on Economics of Systems, Systems and Computation (NetEcon), 2016.

D. H. Choi and L. Xie, “Economic impact assessment of topology data attacks with virtual bids,” IEEE Transactions on Smart Grid, no. 99, pp. 1–9, 2016.

W. Tang, R. Rajagopal, K. Poolla, and P. Varaiya, “Model and data analysis of 2-settlement electricity market with virtual bidding,” in 55th IEEE Conference on Decision and Control, 2016.

M. Kohansal and H. Mohsenian-Rad, “A closer look at demand bids in california iso energy market,” IEEE Trans. on Power Systems, vol. 31, no. 4, pp. 3330–3331, July 2016.

S. Boyd and L. Vandenberghe, Convex optimization. Cambridge university press, 2004. P.M. Sotkiewicz and J.M. Vignolo, “Nodal pricing for DNs: efficient pricing for efficiency enhancing DG,” IEEE Transactions on Power Systems, vol. 21, no. 2, pp. 1013–1014, May. 2006.

A. Gabash and P. Li, “Active-reactive optimal PF in DNs with embedded generation and battery storage,” IEEE Transactions on Power Systems, vol. 27, no. 4, pp. 2026–2035, Mar. 2012.

Z. Yuan, M.R. Hesamzadeh and D. Biggar, “Distribution locational marginal pricing by convexified aco pf and hierarchical dispatch,” IEEE Transactions on Smart Grid, in press.

J.W.L. Marangon, “Allocation of transmission fixed charges: overview,” IEEE Transactions on Power Systems, vol. 11, no. 3, pp. 1409–1418, Aug. 1996.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Journal of Microelectronics and Solid State Devices