126
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Voltage Regulation Planning Based on Optimal Grid-Connected Renewable Energy Allocation Using Nature-Inspired Algorithms to Reduce Switching Cycles of On-Load Tap Changing Transformer

, ORCID Icon, &
Pages 146-171 | Received 26 Dec 2022, Accepted 14 May 2023, Published online: 27 May 2023

References

  • K. S. Sambaiah and T. Jayabarathi, “Optimal reconfiguration and renewable distributed generation allocation in electric distribution systems,” Int. J. Ambient Energy, vol. 42, no. 9, pp. 1018–1031, 2021. DOI: 10.1080/01430750.2019.1583604.
  • L. M. Cipcigan and P. C. Taylor, “Investigation of the reverse power flow requirements of high penetrations of small-scale embedded generation,” IET Renew. Power Gener, vol. 1, no. 3, pp. 160–166, 2007. DOI: 10.1049/iet-rpg:20070011.
  • S. H. H. Madni, M. S. A. Latiff, J. Ali and S. M. Abdulhamid, “Multi-objective-oriented cuckoo search optimization-based resource scheduling algorithm for clouds,” Arab J. Sci. Eng., vol. 44, no. 4, pp. 3585–3602, 2019. DOI: 10.1007/s13369-018-3602-7.
  • A. Balqis, Z. Khan, A. M. A. Haidar and A. K. B. H. Othman, “Contingency analysis of a power grid with the participation of utility-scale solar PV units: a case study from Sarawak, Malaysia,” 2018 IEEE 7th Int. Conf. Power Energy, PECon 2018, 2018. pp. 7–12. DOI: 10.1109/PECON.2018.8684063.
  • B. J. Rani and A. S. Reddy, Government Model Residential Polytechnic, “Optimal allocation and sizing of multiple DG in radial distribution system using binary particle swarm optimization,” IJIES, vol. 12, no. 1, pp. 290–299, 2019. DOI: 10.22266/ijies2019.0228.28.
  • M. R. Mozafar, M. H. Moradi and M. H. Amini, “A simultaneous approach for optimal allocation of renewable energy sources and electric vehicle charging stations in smart grids based on improved GA-PSO algorithm,” Sustain. Cities Soc, vol. 32, pp. 627–637, 2017. DOI: 10.1016/j.scs.2017.05.007.
  • S. B. F. I. H. Malik, A. Iqbal, P. Joshi, and Agrawal, “Metaheuristic and Evolutionary Computation : Algorithms and Applications,” 2021.
  • A. Slowik and H. Kwasnicka, “Nature inspired methods and their industry applications-swarm intelligence Algorithms,” IEEE Trans. Ind. Inf., vol. 14, no. 3, pp. 1004–1015, 2018. DOI: 10.1109/TII.2017.2786782.
  • S. Essallah, A. Khedher, and A. Bouallegue, “Integration of distributed generation in electrical grid: optimal placement and sizing under different load conditions,” Comput. Electr. Eng., vol. 79, pp. 106461, 2019. DOI: 10.1016/j.compeleceng.2019.106461.
  • B. S. Goud and B. L. Rao, “Power quality improvement in hybrid renewable energy source grid-connected system with grey wolf optimization,” Int. J. Renew. Energy Res., vol. 10, no. 3, pp. 1264–1276, 2020.
  • J. P. Sridhar and R. Prakash, “Multi-objective whale optimization based minimization of loss, maximization of voltage stability considering cost of DG for optimal sizing and placement of DG,” IJECE, vol. 9, no. 2, pp. 835, 2019. DOI: 10.11591/ijece.v9i2.pp835-839.
  • M. Abdelsattar, A. M. A. E. Hamed, A. A. Elbaset, S. Kamel, and M. Ebeed, “Optimal integration of photovoltaic and shunt compensator considering irradiance and load changes,” Comput. Electr. Eng, vol. 97, pp. 107658, 2020, p. 107658, 2022. DOI: 10.1016/j.compeleceng.2021.107658.
  • K. S and V. K. D.m, “Optimal planning of active distribution networks with hybrid distributed energy resources using grid-based multi-objective harmony search algorithm,” Appl. Soft Comput. J, vol. 67, pp. 387–398, 2018. DOI: 10.1016/j.asoc.2018.03.009.
  • M. M. Othman, W. El-Khattam, Y. G. Hegazy, and A. Y. Abdelaziz, “Optimal placement and sizing of voltage controlled distributed generators in unbalanced distribution networks using supervised firefly algorithm,” Int. J. Electr. Power Energy Syst., vol. 82, pp. 105–113, 2016. DOI: 10.1016/j.ijepes.2016.03.010.
  • T. F. Agajie, B. Khan, J. M. Guerrero and O. Prakash Mahela, “Reliability enhancement and voltage profile improvement of distribution network using optimal capacity allocation and placement of distributed energy resources,” Comput. Electr. Eng, vol. 93, pp. 107295, 2020, p. 107295, 2021. DOI: 10.1016/j.compeleceng.2021.107295.
  • A. Muqbel, A. H. Elsayed, M. A. Abido, A. A. Mantawy, A. T. Al-Awami, and M. El-Hawary, “Optimal sizing and location of solar capacity in an electrical network using lightning search algorithm,” Electr. Power Components Syst., vol. 47, no. 14–15, pp. 1247–1260, 2019. DOI: 10.1080/15325008.2019.1659456.
  • W. Zhang, S. Zhang, S. Guo, Y. Yang, and Y. Chen, “Concurrent optimal allocation of distributed manufacturing resources using extended Teaching-Learning-Based Optimization,” Int. J. Prod. Res., vol. 55, no. 3, pp. 718–735, 2017. DOI: 10.1080/00207543.2016.1203078.
  • T. Yuvaraj, K. Ravi, and K. R. Devabalaji, “Optimal allocation of DG and DSTATCOM in radial distribution system using Cuckoo Search Optimization Algorithm,” Model. Simul. Eng., vol. 2017, pp. 1–11, 2017. DOI: 10.1155/2017/2857926.
  • G. Deb, K. Chakraborty, and S. Deb, “Modified spider monkey optimization-based optimal placement of distributed generators in radial distribution system for voltage security improvement,” Electr. Power Components Syst., vol. 48, no. 9–10, pp. 1006–1020, 2020. DOI: 10.1080/15325008.2020.1829186.
  • S. K. Sudabattula and K. M, “Optimal allocation of solar based distributed generators in distribution system using Bat algorithm,” Perspect. Sci, vol. 8, pp. 270–272, 2016. DOI: 10.1016/j.pisc.2016.04.048.
  • M. Taleb, A. Salem, A. Ayman and M. A. Azma, “Optimal allocation of TCSC using adaptive cuckoo search algorithm,” 2016 18th Int. Middle-East Power Syst. Conf. MEPCON 2016 - Proc, 2017. pp. 387–391, DOI: 10.1109/MEPCON.2016.7836920.
  • H. Lotfi, A. Azizivahed, A. A. Shojaei, S. Seyedi and M. F. Bin Othman, “Multi-objective distribution feeder reconfiguration along with optimal sizing of capacitors and distributed generators regarding network voltage security,” Electr. Power Components Syst, vol. 49, no. 6–7, pp. 652–668, 2021. DOI: 10.1080/15325008.2021.2011486.
  • P. Mohandas and S. T. Devanathan, “Reconfiguration with DG location and capacity optimization using crossover mutation based Harris Hawk Optimization algorithm (CMBHHO),” Appl. Soft Comput., vol. 113, pp. 107982, 2021. DOI: 10.1016/j.asoc.2021.107982.
  • R. Sanjay, T. Jayabarathi, T. Raghunathan, V. Ramesh and N. Mithulananthan, “Optimal allocation of distributed generation using hybrid grey Wolf optimizer,” IEEE Access, vol. 5, no. c, pp. 14807–14818, 2017. DOI: 10.1109/ACCESS.2017.2726586.
  • A. Tah and D. Das, “Novel analytical method for the placement and sizing of distributed generation unit on distribution networks with and without considering P and PQV buses,” Int. J. Electr. Power Energy Syst., vol. 78, pp. 401–413, 2016. DOI: 10.1016/j.ijepes.2015.12.009.
  • L. Li, P. Liu, Z. Li and X. Wang, “A multi-objective optimization approach for selection of energy storage systems,” Comput. Chem. Eng, vol. 115, pp. 213–225, 2018. DOI: 10.1016/j.compchemeng.2018.04.014.
  • D. Yang, X. Wang, F. Liu, K. Xin, Y. Liu and F. Blaabjerg, “Adaptive reactive power control of PV power plants for improved power transfer capability under ultra-weak grid conditions,” IEEE Trans. Smart Grid, vol. 10, no. 2, pp. 1269–1279, 2019. DOI: 10.1109/TSG.2017.2762332.
  • S. Hashemi and J. Østergaard, “Methods and strategies for overvoltage prevention in low voltage distribution systems with PV,” IET Renew. Power Gener, vol. 11, no. 2, pp. 205–214, 2017. DOI: 10.1049/iet-rpg.2016.0277.
  • Q. Long, J. Wang, D. Lubkeman, N. Lu and P. Chen, “Volt-var optimization of distribution systems for coordinating utility voltage control with smart inverters,” 2019 IEEE Power Energy Soc. Innov. Smart Grid Technol. Conf. ISGT 2019, 2019. pp. 0–4. DOI: 10.1109/ISGT.2019.8791600.
  • M. H. K. Tushar and C. Assi, “Volt-VAR control through joint optimization of capacitor bank switching, renewable energy, and home appliances,” IEEE Trans. Smart Grid, vol. 9, no. 5, pp. 4077–4086, 2018. DOI: 10.1109/TSG.2017.2648509.
  • S. Ganguly and D. Samajpati, “Distributed generation allocation with on-load tap changer on radial distribution networks using adaptive genetic algorithm,” Appl. Soft Comput. J., vol. 59, pp. 45–67, 2017. DOI: 10.1016/j.asoc.2017.05.041.
  • M. L. Kloubert, “Probabilistic load flow approach considering dependencies of wind speed, solar irradiance, electrical load and energy exchange with a joint probability distribution model,” Energies, vol. 13, no. 7, pp. 1727, 2020. DOI: 10.3390/en13071727.
  • A. Y. P. Agalgaonkar, B. C. Pal and I. R. A. Jabr, “Distribution voltage control considering the impact of PV generation on tap changers and autonomous regulators,” IEEE Trans. Power Syst., vol. 29, no. 1, pp. 182–192, 2014. DOI: 10.1109/TPWRS.2013.2279721.
  • B. Ahmadi, O. Ceylan and A. Ozdemir, “Grey Wolf optimizer for allocation and sizing of distributed renewable generation,” 2019 54th Int. Univ. Power Eng. Conf. UPEC 2019 - Proc., 2019, pp. 1–6. DOI: 10.1109/UPEC.2019.8893584.
  • B. Ahmadi, O. Ceylan and A. Ozdemir, “Cuckoo search algorithm for optimal siting and sizing of multiple distributed generators in distribution grids,” Proc. - Int. Conf. Mod. Electr. Power Syst. MEPS 2019, 2019. DOI: 10.1109/MEPS46793.2019.9395018.
  • R. A. Swief, T. S. Abdel-Salam and N. H. El-Amary, “Photovoltaic and wind turbine integration applying Cuckoo Search for probabilistic reliable optimal placement,” Energies, vol. 11, no. 1, pp. 139, 2018. DOI: 10.3390/en11010139.
  • T. Yuvaraj and K. Ravi, “Multi-objective simultaneous DG and DSTATCOM allocation in radial distribution networks using cuckoo searching algorithm,” Alexandria Eng. J, vol. 57, no. 4, pp. 2729–2742, 2018. DOI: 10.1016/j.aej.2018.01.001.
  • A. A. El-Fergany and A. Y. Abdelaziz, “Cuckoo search-based algorithm for optimal shunt capacitors allocations in distribution networks,” Electr. Power Components Syst, vol. 41, no. 16, pp. 1567–1581, 2013. DOI: 10.1080/15325008.2013.834525.
  • T. T. Nguyen, A. V. Truong and T. A. Phung, “A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network,” Int. J. Electr. Power Energy Syst, vol. 78, pp. 801–815, 2016. DOI: 10.1016/j.ijepes.2015.12.030.
  • T. R. Ayodele, A. S. O. Ogunjuyigbe and O. O. Akinola, “Optimal location, sizing, and appropriate technology selection of distributed generators for minimizing power loss using Genetic Algorithm,” J. Renew. Energy, vol. 2015, pp. 1–9, 2015. DOI: 10.1155/2015/832917.
  • A. Petrović and Ž. Đurišić, “Genetic algorithm based optimized model for the selection of wind turbine for any site-specific wind conditions,” Energy, vol. 236, pp. 121476, 2021. DOI: 10.1016/j.energy.2021.121476.
  • O. D. Montoya, W. Gil-González and C. Orozco-Henao, “Vortex search and Chu-Beasley genetic algorithms for optimal location and sizing of distributed generators in distribution networks: A novel hybrid approach,” Eng. Sci. Technol. an Int. J, vol. 23, no. 6, pp. 1351–1363, 2020. DOI: 10.1016/j.jestch.2020.08.002.
  • J. Shi, W. Yang, F. Xue, W. Qiao, T. Yang and J. Wang, “Reactive power optimization of active distribution network under parallel condition of solid state transformer and on-load tap changer,” 2019 22nd Int. Conf. Electr. Mach. Syst. ICEMS 2019, 2019. DOI: 10.1109/ICEMS.2019.8922553.
  • K. Kotsalos, I. Miranda, J. L. Dominguez-Garcia, H. Leite, N. Silva and N. Hatziargyriou, “Exploiting OLTC and BESS operation coordinated with active network management in LV networks,” Sustain, vol. 12, no. 8, pp. 3332, 2020. DOI: 10.3390/su12083332.
  • H. E. Farag and M. M. A. Abdelaziz, “Incorporating voltage regulator and load models in unbalanced power flow studies of active distribution systems,” 2012 IEEE Power Energy Soc. Gen. Meet, 2012. pp. 1–7. DOI: 10.1109/PESGM.2012.6344972.
  • A. I. G. Adejumobi and I. A. Adepoju, “Power flow analysis using Load Tap-Changing Transformer (LTCT): A case study of Nigerian 330kv transmission grid system,” Int. J. Eng. Adv. Technol., no. 2, pp. 2249–8958, 2013.
  • S. Satsangi and G. B. Kumbhar, “Integrated Volt-VAr optimization with distributed energy sources to minimize substation energy in distribution system,” Electr. Power Components Syst., vol. 46, no. 14–15, pp. 1522–1539, 2018. DOI: 10.1080/15325008.2018.1511004.
  • M. Daneshvar, B. Mohammadi-Ivatloo, M. Abapour and S. Asadi, “Energy exchange control in multiple microgrids with transactive energy management,” J. Mod. Power Syst. Clean Energy, vol. 8, no. 4, pp. 719–726, 2020. DOI: 10.35833/MPCE.2018.000590.
  • S. Chatterjee and S. Mandal, “A novel comparison of gauss-seidel and Newton- raphson methods for load flow analysis,” Int. Conf. Power Embed. Drive Control. ICPEDC 2017, 2017. pp. 1–7, DOI: 10.1109/ICPEDC.2017.8081050.
  • Z. Moravej and A. Akhlaghi, “A novel approach based on cuckoo search for DG allocation in distribution network,” Int. J. Electr. Power Energy Syst, vol. 44, no. 1, pp. 672–679, 2013. DOI: 10.1016/j.ijepes.2012.08.009.
  • S. Wende, T. R. Berry-Stölzle and G. C. Lai, “Result analysis on load flow by using Newton Raphson method,” Int. J. Adv. Res. Electr. Electron. Instrum. Eng, vol. 6, no. 7, pp. 5835–5844, 2107. DOI: 10.15662/IJAREEIE.2017.0607034.
  • EU Science Hub, PVGIS Online Tool, available (20/5/2022), https://joint-research-centre.ec.europa.eu/pvgis-online-tool_en
  • M. A. H. Ahmed, L. Carmen and M. M. Kashem, “A market framework for energy bidding decision-making strategy to provide a competitive mechanism in the context of deregulated electricity market,” IEEE International Conference on Computing, Power and Communication Technologies, 2021, Malaysia.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.