Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods

Parsa Sedaghatmanesh; Mohammad Taghipour

doi:doi:10.11648/j.epes.20150406.12

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Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods

Parsa Sedaghatmanesh, Mohammad Taghipour

Published in American Journal of Electrical Power and Energy Systems (Volume 4, Issue 6)

Received: 15 October 2015 Accepted: 2 November 2015 Published: 24 November 2015

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Abstract

Formulation of long term program of optimization of energy sector has positive effect on economy of country and improving the role of Iran in global energy markets. One of the results of optimization of energy supply sector is improvement of efficiency and reduction of environmental pollutants of energy generation. There are various optimization solutions in energy supply as combined power and heat generation at proper location of distribution network. This thesis is aimed to locate combined generation source via integrated graph algorithm with sensitivity analysis to reduce electric power loss and release capacity and increase economic productivity. The capacity is determined based on applying restrictions of voltage and available levels of candidate locations in the studied networks. The results of simulation are presented in standard 30-bus IEEE network to evaluate efficiency of the above method.

Published in	American Journal of Electrical Power and Energy Systems (Volume 4, Issue 6)
DOI	10.11648/j.epes.20150406.12
Page(s)	84-99
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Combined Generation System, Distribution Networks, Placement, Graph Algorithm, Sensitivity Analysis

References

[1]	Philipson L., Willis H. L., 1999. Understanding Electric Utilities and De-Regulation, Marcel Dekker, New York.
[2]	Puttgen H. B., MacGregor P. R., Lambert F.C., 2003. Distributed Generation: Semantic Hype or The Dawn of a New Era, IEEE Trans. On Power and Energy, 1(1): 22-29.
[3]	Brown R. E., 1996. Reliability Assessment and Design Optimization in Electric Power Distribution Systems, Ph.D. Dissertation, University of Washington, WA.
[4]	Lamarre L., 1993, The Vision of Distributed Generation, EPRI Journal.
[5]	Ackermann T., Knyazkin V., 2002, Interaction Between Distributed Generation and the Distribution Network: Operation Aspects In: Proc.Of the IEEE/PES T&D Conference and Exhibition, vol. 2, Asia Pacific.
[6]	Griffin T., Tomsovic K., Secrest D., Law A., 2000. Placement of Dispersed Generation Systems for Reduced Losses. In: Proc. of the 3^rd Annu. Hawaii Int. Conf. Systems Sciences, Maui, HI.
[7]	Hegazy Y. G, Salama M. A., Chikhani A. Y., 2003. Adequacy Assessment of Distributed Generation Systems Using Monte Carlo Simulation, IEEE Trans. On Power Systems.
[8]	Brown R., Pan I., Feng X., Koudev K., 2001 Siting Distributed Generation to Defer T& D Expansion. of the IEEE T&D Conference.
[9]	L. R. Mattison, "Technical Analysis of the Potential for Combined Heat and Power in Massachusett," University of Massachusetts Amhers, Massachusetts, May 2006.
[10]	Devender Singh, R. K. Misra, and Deependra Singh, "Effect of load models in Distributed Generation planing," IEEE Transaction on Power system, vol. 22 no 4, Nov. 2007.
[11]	Dugan, R.C., and McDermott, T.E., "Distributed generatio," IEEE Industry Applications Magazin, vol. 8. No 2, pp. 19-25, 2002.
[12]	Ramakumar R., Chiradeja P., 2002, Distributed Generation and Renewable Energy Systems, of the Intersociety Energy Conversion Engineering Conference.
[13]	U.D.o. Energy. Modeling Distributed Generation in the Buildings Sectors. Washington DC. 2013.
[14]	R. R. Chiradeja P, An Approach to Quantify the Technical Benefits of Distributed Generation," IEEE Trans. on energy Conversion, vol. (4)19, 2004.
[15]	Fraser P., 2002, the Economics of Distributed Generation, International Energy Agency, Energy Prices and Taxes.
[16]	Complete guidance of heat and power combined generation. Ministry of energy. 2009. Productivity improvement and power and energy economy.
[17]	Seyed Mehrdad Hosseini, Mohammad HOssein Javidi. 2011. Placement and sizing combined generation of heat and power by PSO algorithm.
[18]	B. Zhao, C. X. Guo, B. R. Bai, and Y. J. Cao, An improved particle swarm optimization algorithm for unit commitment, Int. J. Elect. Power Energy Syst., 28, (September (7)), 2006, 482-490.
[19]	C. C. Kuo. “A Novel Coding Scheme for Practical Economic Dispatch by Modified Particle Swarm Approach”. IEEE Trans. Power Syst., vol. 23, no. 4, pp. 1825-1835, Nov. 2008.
[20]	Holland J.H., 1975, Adaptation in Natural and Artificial Systems, Ann Arbor, the University of Michigan Press, Michigan.
[21]	Caire R., Retikre N., Morin N., Fontela M., Hadjsaid N., 2003, Voltage Management of Distributed Generation in Distribution Networks, IEEE.
[22]	Celli G., Pilo F., 2001, Optimal Distributed Generation Allocation in MV Distribution Networks, pp. 81-86in Proc. of IEEE PICA Conf., Sydney, NSW, Australia.
[23]	Willis H. L., Scott W. G., 2000, Distributed Power Generation, Marcel Dekker, New York.
[24]	Willis H. L., 1997, Power Distribution Planning Reference Book, Marcel Dekker, New York.
[25]	Carpinelli G., Celli G., Pilo F., Russo A., 2001, Distributed Generation Siting and Sizing Under Uncertainty, pp. 376-401in Proc. IEEE Powertech Conf., vol. 4, Porto, Portugal.
[26]	B, Defino, Modeling of the Integration of Distributed Generation into the Electrical System,”IEEE Power Engineering Society Summer Meeting, vol 10, pp. 17.
[27]	El-Khattam W., Hegazy Y., Salama M. M. A., 2005, An Integrated Distributed Generation Optimization Model for Distribution System Planning, IEEE Trans. On Power Systems, 20(2).
[28]	El-Khattam W., Bhattacharya K., Hegazy Y., Salama M. M. A., 2004, Optimal Investment Planning for Distributed Generation in a Competitive Electricity Market, IEEE Trans. On Power Systems, 19(3).
[29]	Derek W. A., Fletcher W., Fellhoelter K., 2003, Securing Critical Information and Communication Infrastructures through Electric Power Grid Independence, IEICE/IEEE INTELEC’03, pp: 19-23.
[30]	Caisheng W., Nehrir, M.H., 2004, Analytical Approaches For Optimal Placement of Distributed Generation Sources in Power Systems, IEEE Trans. On Power Systems, 19(4): 2068 – 2076.
[31]	Chang SK, Marks GE, Kato K (1990) optimal real-time voltage control. IEEE Trans. on Power Systems, vol 5, no 3, pp 750-756.
[32]	Hollenstein W, Glavitch H (1990) Linear programming as a tool for treating constraints in a Newton OPF. Proceedings of the 10th Power Systems Computation Conference (PSCC), Graz, Austria, August 19-24.
[33]	Karmarkar N (1984,) a new polynomial time algorithm for linear programming, Combinatorica 4, pp 373-395.
[34]	Lu N, Unum MR (1993) Network constrained security control using an interior point algorithm. IEEE Transactions on Power Systems, vol 8, no 3, pp 1068-1076.
[35]	Irisarri GD, Wang X, Tong J, Mokhtari S (1997) Maximum loadability of power systems using interior point nonlinear optimisation method. IEEE Trans. on Power Systems, vol 12, no 1, pp 167-172.
[36]	Wei H, Sasaki H, Yokoyama R (1998) an interior point nonlinear programming for optimal power flow problems within a novel data structure. IEEE Trans. on Power Systems, vol 13, no 3, pp 870-877.
[37]	Torres GL, Quintana VH (1998) an interior point method for non-linear optimal power flow using voltage rectangular coordinates. IEEE Transactions on Power Systems, vol 13, no 4, pp 1211-1218.
[38]	Zhang XP, Petoussis SG, Godfrey KR (2005) Novel nonlinear interior point optimal power flow (OPF) method based on current mismatch formulation. IEE Proceedings Generation, Transmission & Distribution, to appear.
[39]	El-Bakry S, Tapia RA, Tsuchiya T, Zhang Y (1996) On the formulation and theory of the Newton interior-point method for nonlinear programming. Journal of Optimisation Theory and Applications, vol 89, no 3, pp 507-541.
[40]	Dashti R., Haghi, Qam. R., 2004. Re-configuraiton of distribution networks to reduce losses by graph theory. MA thesis. Tarbiat Modarres University. Tehran.
[41]	Greatbanks J. A., PopoviC D. H., BegoviC M., Pregelj A., Green T. C., 2003, On Optimization for Security and Reliability of Power Systems with Distributed Generation, in Proc. Of IEEE Bologna PowerTech Conference, Bologna, Italy.
[42]	Bayegan M., 2001, A Vision of The Future Grid, IEEE Power Eng. Review. 21:10-12.

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APA Style

Parsa Sedaghatmanesh, Mohammad Taghipour. (2015). Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods. American Journal of Electrical Power and Energy Systems, 4(6), 84-99. https://doi.org/10.11648/j.epes.20150406.12

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ACS Style

Parsa Sedaghatmanesh; Mohammad Taghipour. Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods. Am. J. Electr. Power Energy Syst. 2015, 4(6), 84-99. doi: 10.11648/j.epes.20150406.12

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AMA Style

Parsa Sedaghatmanesh, Mohammad Taghipour. Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods. Am J Electr Power Energy Syst. 2015;4(6):84-99. doi: 10.11648/j.epes.20150406.12

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@article{10.11648/j.epes.20150406.12,
  author = {Parsa Sedaghatmanesh and Mohammad Taghipour},
  title = {Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {4},
  number = {6},
  pages = {84-99},
  doi = {10.11648/j.epes.20150406.12},
  url = {https://doi.org/10.11648/j.epes.20150406.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20150406.12},
  abstract = {Formulation of long term program of optimization of energy sector has positive effect on economy of country and improving the role of Iran in global energy markets. One of the results of optimization of energy supply sector is improvement of efficiency and reduction of environmental pollutants of energy generation. There are various optimization solutions in energy supply as combined power and heat generation at proper location of distribution network. This thesis is aimed to locate combined generation source via integrated graph algorithm with sensitivity analysis to reduce electric power loss and release capacity and increase economic productivity. The capacity is determined based on applying restrictions of voltage and available levels of candidate locations in the studied networks. The results of simulation are presented in standard 30-bus IEEE network to evaluate efficiency of the above method.},
 year = {2015}
}

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TY  - JOUR
T1  - Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods
AU  - Parsa Sedaghatmanesh
AU  - Mohammad Taghipour
Y1  - 2015/11/24
PY  - 2015
N1  - https://doi.org/10.11648/j.epes.20150406.12
DO  - 10.11648/j.epes.20150406.12
T2  - American Journal of Electrical Power and Energy Systems
JF  - American Journal of Electrical Power and Energy Systems
JO  - American Journal of Electrical Power and Energy Systems
SP  - 84
EP  - 99
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20150406.12
AB  - Formulation of long term program of optimization of energy sector has positive effect on economy of country and improving the role of Iran in global energy markets. One of the results of optimization of energy supply sector is improvement of efficiency and reduction of environmental pollutants of energy generation. There are various optimization solutions in energy supply as combined power and heat generation at proper location of distribution network. This thesis is aimed to locate combined generation source via integrated graph algorithm with sensitivity analysis to reduce electric power loss and release capacity and increase economic productivity. The capacity is determined based on applying restrictions of voltage and available levels of candidate locations in the studied networks. The results of simulation are presented in standard 30-bus IEEE network to evaluate efficiency of the above method.
VL  - 4
IS  - 6
ER  -

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Author Information

Parsa Sedaghatmanesh

Electrical Power Engineering, Islamic Azad University of Saveh, Markazi, Iran
Mohammad Taghipour

Department of Industrial Engineering, Science & Research Branch of Islamic Azad University, Tehran, Iran

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APA Style

Parsa Sedaghatmanesh, Mohammad Taghipour. (2015). Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods. American Journal of Electrical Power and Energy Systems, 4(6), 84-99. https://doi.org/10.11648/j.epes.20150406.12

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ACS Style

Parsa Sedaghatmanesh; Mohammad Taghipour. Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods. Am. J. Electr. Power Energy Syst. 2015, 4(6), 84-99. doi: 10.11648/j.epes.20150406.12

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AMA Style

Parsa Sedaghatmanesh, Mohammad Taghipour. Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods. Am J Electr Power Energy Syst. 2015;4(6):84-99. doi: 10.11648/j.epes.20150406.12

Copy | Download

@article{10.11648/j.epes.20150406.12,
  author = {Parsa Sedaghatmanesh and Mohammad Taghipour},
  title = {Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {4},
  number = {6},
  pages = {84-99},
  doi = {10.11648/j.epes.20150406.12},
  url = {https://doi.org/10.11648/j.epes.20150406.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20150406.12},
  abstract = {Formulation of long term program of optimization of energy sector has positive effect on economy of country and improving the role of Iran in global energy markets. One of the results of optimization of energy supply sector is improvement of efficiency and reduction of environmental pollutants of energy generation. There are various optimization solutions in energy supply as combined power and heat generation at proper location of distribution network. This thesis is aimed to locate combined generation source via integrated graph algorithm with sensitivity analysis to reduce electric power loss and release capacity and increase economic productivity. The capacity is determined based on applying restrictions of voltage and available levels of candidate locations in the studied networks. The results of simulation are presented in standard 30-bus IEEE network to evaluate efficiency of the above method.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Reduction of Losses and Capacity Release of Distribution System by Distributed Production Systems of Combined Heat and Power by Graph Methods
AU  - Parsa Sedaghatmanesh
AU  - Mohammad Taghipour
Y1  - 2015/11/24
PY  - 2015
N1  - https://doi.org/10.11648/j.epes.20150406.12
DO  - 10.11648/j.epes.20150406.12
T2  - American Journal of Electrical Power and Energy Systems
JF  - American Journal of Electrical Power and Energy Systems
JO  - American Journal of Electrical Power and Energy Systems
SP  - 84
EP  - 99
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20150406.12
AB  - Formulation of long term program of optimization of energy sector has positive effect on economy of country and improving the role of Iran in global energy markets. One of the results of optimization of energy supply sector is improvement of efficiency and reduction of environmental pollutants of energy generation. There are various optimization solutions in energy supply as combined power and heat generation at proper location of distribution network. This thesis is aimed to locate combined generation source via integrated graph algorithm with sensitivity analysis to reduce electric power loss and release capacity and increase economic productivity. The capacity is determined based on applying restrictions of voltage and available levels of candidate locations in the studied networks. The results of simulation are presented in standard 30-bus IEEE network to evaluate efficiency of the above method.
VL  - 4
IS  - 6
ER  -

Copy | Download