Research Article
BibTex RIS Cite

Loss Calculation Technique With Randomize Load Curves

Year 2017, Volume: 20 Issue: 1, 197 - 203, 01.03.2017

Abstract

Calculating feeder losses accurately is an important part of evaluating designs for electric power distribution systems. Historically,
these losses have been calculated one of three ways: (1) using a peak load calculation and the load factor method, (2) using customer
class statistics normalized for a month, season, or year, or (3) using customer class statistics together with feeder measurements to
reflect the variation in load every hour of the year. The first two methods require far less data but provide far less accuracy than
the third method. In this paper, the authors present a method of calculating losses that achieves better accuracy than the first two
methods without the large data requirements of the third method.

References

  • [1] Y. Liang, K. S. Tam, R. Broadwater, “Load Calibration and Model Validation Methodologies for Power Distribution Systems”, IEEE Transactions on Power Systems, 25(3): 1393-1401, (2010).
  • [2] L.R. Feinauer, K.J.Russell, R. Broadwater, “Graph Trace Analysis and Generic Algorithms for Interdependent Reconfigurable System Design and Control“, Naval Engineers Journal, 120(1): (2008).
  • [3] D.L. Kleppinger, K.J. Russell, and R. Broadwater, “Graph trace analysis based shipboard HM&E system priority management and recovery analysis,’’ IEEE Electric Ship Technologies Symposium, 109–114, (2007).
  • [4] R. Broadwater, A. Sargent, A. Yarali, H. Shaalan, Jo Nazarko “Estimating Substation Peaks From Load Research Data” IEEE Transactions on Power Delivery, 12(1): 451-456, (1997).
  • [5] A. Sargent, R. P. Broadwater, J. Thompson, J. Nazarko, “Estimation of Diversity and KWHR-to-Peak-KW Factors from Load Research Data,” IEEE Transactions on Power Systems, 9(3): 1450-1456, (1994).
  • [6] D. Han ; J. Ma, H. Ren-mu, Z. Dong, “A Real Application of Measurement-Based Load Modeling in Large-Scale Power Grids and its Validation” IEEE Transactions on Power Systems, 24(4): 1756-1764, (2009).
  • [7] M. Dilek, Francisco de Leon, R. Broadwater, “A Robust Multi-phase Power Flow for General Distribution Networks,” IEEE Transactions on Power Systems, 99: 1-9, (2009) .
  • [8] J.A Jardini, C.M.V. Tahan, S.U Ahn, E.L. Ferrari, “Distribution transformer loading evaluation based on load profiles measurements, IEEE Transactions on Power Systems, 12(4): 1766-1770, (1997).
  • [9] M.W Gustafson, J.S. Baylor, “Operational losses savings attributable to load management” IEEE Transactions on Power Systems, 4(1): 229-235, (1989).
  • [10] A. Onen “Model- Based Grid Modernization Economic Evaluation Framework”, Ph.D. Dissertation, Chapter 5, page 72-73, Virginia Polytechnic Institute and State University, March 2014.
  • [11] A.Onen, J. Woyak, R. Broadwater, “Time-varying cost of loss evaluation in distribution networks using market marginal price” International Journal of Electrical Power & Energy Systems, 62: 712-717, (2014).
  • [12] P.Kulkarni, S. Gormus, F. Zhong, F. Ramos, “AMI Mesh Networks—A Practical Solution and Its Performance Evaluation”, IEEE Transactions on Smart Grid, 3(3): 1469-1481, (2012).
  • [13] D. Apetrei, D. Federenciuc, D. Stanescu, “Interoperability of AMI systems”, 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), 1-4, 10-13 June 213, Stockholm.
  • [14] T.A. Short, “Advanced Metering for Phase Identification, Transformer Identification, and Secondary Modeling”, IEEE Transactions on Smart Grid, 4(2): 651-658, (2013).
  • [15] M.A. Rahman, E. Al-Shaer, P. Bera, “A Noninvasive Threat Analyzer for Advanced Metering Infrastructure in Smart Grid” , IEEE Transactions on Smart Grid, 4(1): 273-287, (2013).
  • [16] Z. Luhua, Y. Zhonglin, W. Sitong, Y. Ruiming, Z. Hui, Y. Qingduo, “Effects of Advanced Metering Infrastructure (AMI) on relations of Power Supply and Application in smart grid”, 2010 China International Conference on Electricity Distribution (CICED), 13-16 Sept. 2010, pp.1-5, Nanjing.
  • [17] H. L. Willis, Power distribution planning reference book, 2nd ed. New York: M. Dekker, 2004W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123–135.

Loss Calculation Technique With Randomize Load Curves

Year 2017, Volume: 20 Issue: 1, 197 - 203, 01.03.2017

Abstract

Calculating feeder losses accurately is an important part of evaluating designs for electric power distribution systems. Historically,

these losses have been calculated one of three ways: (1) using a peak load calculation and the load factor method, (2) using customer

class statistics normalized for a month, season, or year, or (3) using customer class statistics together with feeder measurements to

reflect the variation in load every hour of the year. The first two methods require far less data but provide far less accuracy than

the third method. In this paper, the authors present a method of calculating losses that achieves better accuracy than the first two

methods without the large data requirements of the third method.

References

  • [1] Y. Liang, K. S. Tam, R. Broadwater, “Load Calibration and Model Validation Methodologies for Power Distribution Systems”, IEEE Transactions on Power Systems, 25(3): 1393-1401, (2010).
  • [2] L.R. Feinauer, K.J.Russell, R. Broadwater, “Graph Trace Analysis and Generic Algorithms for Interdependent Reconfigurable System Design and Control“, Naval Engineers Journal, 120(1): (2008).
  • [3] D.L. Kleppinger, K.J. Russell, and R. Broadwater, “Graph trace analysis based shipboard HM&E system priority management and recovery analysis,’’ IEEE Electric Ship Technologies Symposium, 109–114, (2007).
  • [4] R. Broadwater, A. Sargent, A. Yarali, H. Shaalan, Jo Nazarko “Estimating Substation Peaks From Load Research Data” IEEE Transactions on Power Delivery, 12(1): 451-456, (1997).
  • [5] A. Sargent, R. P. Broadwater, J. Thompson, J. Nazarko, “Estimation of Diversity and KWHR-to-Peak-KW Factors from Load Research Data,” IEEE Transactions on Power Systems, 9(3): 1450-1456, (1994).
  • [6] D. Han ; J. Ma, H. Ren-mu, Z. Dong, “A Real Application of Measurement-Based Load Modeling in Large-Scale Power Grids and its Validation” IEEE Transactions on Power Systems, 24(4): 1756-1764, (2009).
  • [7] M. Dilek, Francisco de Leon, R. Broadwater, “A Robust Multi-phase Power Flow for General Distribution Networks,” IEEE Transactions on Power Systems, 99: 1-9, (2009) .
  • [8] J.A Jardini, C.M.V. Tahan, S.U Ahn, E.L. Ferrari, “Distribution transformer loading evaluation based on load profiles measurements, IEEE Transactions on Power Systems, 12(4): 1766-1770, (1997).
  • [9] M.W Gustafson, J.S. Baylor, “Operational losses savings attributable to load management” IEEE Transactions on Power Systems, 4(1): 229-235, (1989).
  • [10] A. Onen “Model- Based Grid Modernization Economic Evaluation Framework”, Ph.D. Dissertation, Chapter 5, page 72-73, Virginia Polytechnic Institute and State University, March 2014.
  • [11] A.Onen, J. Woyak, R. Broadwater, “Time-varying cost of loss evaluation in distribution networks using market marginal price” International Journal of Electrical Power & Energy Systems, 62: 712-717, (2014).
  • [12] P.Kulkarni, S. Gormus, F. Zhong, F. Ramos, “AMI Mesh Networks—A Practical Solution and Its Performance Evaluation”, IEEE Transactions on Smart Grid, 3(3): 1469-1481, (2012).
  • [13] D. Apetrei, D. Federenciuc, D. Stanescu, “Interoperability of AMI systems”, 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), 1-4, 10-13 June 213, Stockholm.
  • [14] T.A. Short, “Advanced Metering for Phase Identification, Transformer Identification, and Secondary Modeling”, IEEE Transactions on Smart Grid, 4(2): 651-658, (2013).
  • [15] M.A. Rahman, E. Al-Shaer, P. Bera, “A Noninvasive Threat Analyzer for Advanced Metering Infrastructure in Smart Grid” , IEEE Transactions on Smart Grid, 4(1): 273-287, (2013).
  • [16] Z. Luhua, Y. Zhonglin, W. Sitong, Y. Ruiming, Z. Hui, Y. Qingduo, “Effects of Advanced Metering Infrastructure (AMI) on relations of Power Supply and Application in smart grid”, 2010 China International Conference on Electricity Distribution (CICED), 13-16 Sept. 2010, pp.1-5, Nanjing.
  • [17] H. L. Willis, Power distribution planning reference book, 2nd ed. New York: M. Dekker, 2004W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123–135.
There are 17 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Ahmet Önen

Publication Date March 1, 2017
Submission Date July 24, 2016
Published in Issue Year 2017 Volume: 20 Issue: 1

Cite

APA Önen, A. (2017). Loss Calculation Technique With Randomize Load Curves. Politeknik Dergisi, 20(1), 197-203.
AMA Önen A. Loss Calculation Technique With Randomize Load Curves. Politeknik Dergisi. March 2017;20(1):197-203.
Chicago Önen, Ahmet. “Loss Calculation Technique With Randomize Load Curves”. Politeknik Dergisi 20, no. 1 (March 2017): 197-203.
EndNote Önen A (March 1, 2017) Loss Calculation Technique With Randomize Load Curves. Politeknik Dergisi 20 1 197–203.
IEEE A. Önen, “Loss Calculation Technique With Randomize Load Curves”, Politeknik Dergisi, vol. 20, no. 1, pp. 197–203, 2017.
ISNAD Önen, Ahmet. “Loss Calculation Technique With Randomize Load Curves”. Politeknik Dergisi 20/1 (March 2017), 197-203.
JAMA Önen A. Loss Calculation Technique With Randomize Load Curves. Politeknik Dergisi. 2017;20:197–203.
MLA Önen, Ahmet. “Loss Calculation Technique With Randomize Load Curves”. Politeknik Dergisi, vol. 20, no. 1, 2017, pp. 197-03.
Vancouver Önen A. Loss Calculation Technique With Randomize Load Curves. Politeknik Dergisi. 2017;20(1):197-203.