The Optimal Allocation of Dispersed Generation Units in The Distribution Network While Simultaneously Taking into Account The Benefits of Dg's and Distribution Companies by Multi-Objective Multi-Objective Optimization (CLPSO)
Keywords:
Multi-objective algorithm of particle communities with comprehensive training, multi-objective optimization, spatially generated production location, bound epsilon method, fuzzy sets
Abstract
In this paper, the issue of locating and determining the capacity of dispersed production resources is considered by the owner of the source and the distribution company of the modelling and solved. The benefit / cost ratio of the project is considered as the owner's objective function and the difference in losses, the improvement of the voltage profile, the reduction of environmental pollutants, the delay of investment, reliability and the difference in the cost of supplying power from the network as the interests of the distribution company. Also, the multi-objective optimization problem, which is modeled by the particle pool method, has been solved with comprehensive training based on the epsilon approach. Finally, the parrot responses obtained by the fuzzy set are classified and the optimal final response is extracted.
References
[1] L. Zhang, W. Tang, Y. Liu, and T. Lv, “Multiobjective optimization and decision-making for DG planning considering benefits between distribution company and DGs owner,” Int. J. Electr. Power Energy Syst., vol. 73, pp. 465–474, 2015.
[2] S. Anbuchandran, R. Rengaraj, A. Bhuvanesh, and M. Karuppasamypandiyan, “A multi-objective optimum distributed generation placement using firefly algorithm,” J. Electr. Eng. Technol., vol. 17, no. 2, pp. 945–953, 2022.
[3] À. Alonso-Travesset, H. Martín, S. Coronas, and J. de la Hoz, “Optimization Models under Uncertainty in Distributed Generation Systems: A Review,” Energies, vol. 15, no. 5, p. 1932, 2022.
[4] W.-S. Tan, M. Y. Hassan, M. S. Majid, and H. A. Rahman, “Optimal distributed renewable generation planning: A review of different approaches,” Renew. Sustain. Energy Rev., vol. 18, pp. 626–645, 2013.
[5] A. R. Jordehi, “Allocation of distributed generation units in electric power systems: A review,” Renew. Sustain. Energy Rev., vol. 56, pp. 893–905, 2016.
[6] R. Viral and D. K. Khatod, “Optimal planning of distributed generation systems in distribution system: A review,” Renew. Sustain. Energy Rev., vol. 16, no. 7, pp. 5146–5165, 2012.
[7] A. K. Singh and S. K. Parida, “Novel sensitivity factors for DG placement based on loss reduction and voltage improvement,” Int. J. Electr. Power Energy Syst., vol. 74, pp. 453–456, 2016.
[8] B. Ahmadi, O. Ceylan, and A. Ozdemir, “A multi-objective optimization evaluation framework for integration of distributed energy resources,” J. Energy Storage, vol. 41, p. 103005, 2021.
[9] H. Doagou-Mojarrad, G. B. Gharehpetian, H. Rastegar, and J. Olamaei, “Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm,” Energy, vol. 54, pp. 129–138, 2013.
[10] N. R. Battu, A. R. Abhyankar, and N. Senroy, “DG planning with amalgamation of economic and reliability considerations,” Int. J. Electr. Power Energy Syst., vol. 73, pp. 273–282, 2015.
[11] V. V. Murty and A. Kumar, “Optimal placement of DG in radial distribution systems based on new voltage stability index under load growth,” Int. J. Electr. Power Energy Syst., vol. 69, pp. 246–256, 2015.
[12] E. Esfandiari, F. Mesrinejad, and N. B. Mariun, “Multi-Winding Transformer-Based Diode Clamping Multilevel Inverter, Experimental Results,” J. Circuits Syst. Comput., vol. 22, no. 08, p. 1350071, 2013.
[13] E. Esfandiari, N. B. Mariun, M. H. Marhaban, and A. Zakaria, “Fundamental of an efficient and reliable staircase multilevel inverter for photovoltaic application,” in 2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE), 2009, pp. 1–8.
[14] X. Yu and X. Zhang, “Unit commitment using Lagrangian relaxation and particle swarm optimization,” Int. J. Electr. Power Energy Syst., vol. 61, pp. 510–522, 2014.
[2] S. Anbuchandran, R. Rengaraj, A. Bhuvanesh, and M. Karuppasamypandiyan, “A multi-objective optimum distributed generation placement using firefly algorithm,” J. Electr. Eng. Technol., vol. 17, no. 2, pp. 945–953, 2022.
[3] À. Alonso-Travesset, H. Martín, S. Coronas, and J. de la Hoz, “Optimization Models under Uncertainty in Distributed Generation Systems: A Review,” Energies, vol. 15, no. 5, p. 1932, 2022.
[4] W.-S. Tan, M. Y. Hassan, M. S. Majid, and H. A. Rahman, “Optimal distributed renewable generation planning: A review of different approaches,” Renew. Sustain. Energy Rev., vol. 18, pp. 626–645, 2013.
[5] A. R. Jordehi, “Allocation of distributed generation units in electric power systems: A review,” Renew. Sustain. Energy Rev., vol. 56, pp. 893–905, 2016.
[6] R. Viral and D. K. Khatod, “Optimal planning of distributed generation systems in distribution system: A review,” Renew. Sustain. Energy Rev., vol. 16, no. 7, pp. 5146–5165, 2012.
[7] A. K. Singh and S. K. Parida, “Novel sensitivity factors for DG placement based on loss reduction and voltage improvement,” Int. J. Electr. Power Energy Syst., vol. 74, pp. 453–456, 2016.
[8] B. Ahmadi, O. Ceylan, and A. Ozdemir, “A multi-objective optimization evaluation framework for integration of distributed energy resources,” J. Energy Storage, vol. 41, p. 103005, 2021.
[9] H. Doagou-Mojarrad, G. B. Gharehpetian, H. Rastegar, and J. Olamaei, “Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm,” Energy, vol. 54, pp. 129–138, 2013.
[10] N. R. Battu, A. R. Abhyankar, and N. Senroy, “DG planning with amalgamation of economic and reliability considerations,” Int. J. Electr. Power Energy Syst., vol. 73, pp. 273–282, 2015.
[11] V. V. Murty and A. Kumar, “Optimal placement of DG in radial distribution systems based on new voltage stability index under load growth,” Int. J. Electr. Power Energy Syst., vol. 69, pp. 246–256, 2015.
[12] E. Esfandiari, F. Mesrinejad, and N. B. Mariun, “Multi-Winding Transformer-Based Diode Clamping Multilevel Inverter, Experimental Results,” J. Circuits Syst. Comput., vol. 22, no. 08, p. 1350071, 2013.
[13] E. Esfandiari, N. B. Mariun, M. H. Marhaban, and A. Zakaria, “Fundamental of an efficient and reliable staircase multilevel inverter for photovoltaic application,” in 2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE), 2009, pp. 1–8.
[14] X. Yu and X. Zhang, “Unit commitment using Lagrangian relaxation and particle swarm optimization,” Int. J. Electr. Power Energy Syst., vol. 61, pp. 510–522, 2014.
Published
2022-06-01
How to Cite
Esfandiari, E., & Sadeghi, D. (2022). The Optimal Allocation of Dispersed Generation Units in The Distribution Network While Simultaneously Taking into Account The Benefits of Dg’s and Distribution Companies by Multi-Objective Multi-Objective Optimization (CLPSO). Majlesi Journal of Mechatronic Systems, 11(2), 1-6. Retrieved from https://ms.majlesi.info/index.php/ms/article/view/521
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