Optimal integration of different types of DGs in radial distribution system by using Harris hawk optimization algorithm

References

• Babu, P. V. K., Swarnasri, K., & Vijetha, P. (2018). A three phase unbalanced power flow method for secondary distribution system. Advance Modeling Analysis B, 61(3), 139-144. https://doi.org/10.18280/ama_b.610306
   Google Scholar
• Carpinelli, G., Celli, G., Pilo, F., & Russo, A. 2001. Distributed generation siting and sizing under uncertainty. 2001 IEEE Porto Power Tech proceedings (Cat. no.01EX502) (Vol. 4, pp. 7). Porto, Portugal. https://doi.org/10.1109/PTC.2001.964856
   Google Scholar
• ChithraDevi, S. A., Lakshminarasimman, L., & Balamurugan, R. (2017). Stud Krill herd algorithm for multiple DG placement and sizing in a radial distribution system. Engineering Science and Technology, 20(2), 748–36. https://doi.org/10.1016/j.jestch.2016.11.009
   Web of Science ®Google Scholar
• Eroshenko, S. A., Khalyasmaa, A. I., Dmitriev, S. A., Pazderin, A. V., & Karpenko, A. A. 2013. Distributed generation siting and sizing with implementation feasibility analysis. 2013 international conference on power, energy and control (ICPEC) (pp. 717–721). Sri Rangalatchum Dindigul. https://doi.org/10.1109/ICPEC.2013.6527749
   Google Scholar
• Heidari, A. A., Mirjalili, S., Faris, H., Aljarah, I., Mafarja, M., & Chen, H. (2019). Harris hawks optimization: Algorithm and applications. Future Generation Computer Systems, 97, 849–872. https://doi.org/10.1016/j.future.2019.02.028
   Web of Science ®Google Scholar
• Imran Ahmad Quadri, S., & Bhowmick, D. J. (2018). A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems. Applied Energy, 211, 1245–1260. https://doi.org/10.1016/j.apenergy.2017.11.108
   Web of Science ®Google Scholar
• Kansal, S., Sai, B. B. R., Tyagi, B., & Kumar, V. 2011. Optimal placement of wind-based generation in distribution networks. IET conference on renewable power generation (RPG 2011) (pp. 1–6). Edinburgh. https://doi.org/10.1049/cp.2011.0141
   Google Scholar
• Kansal, S., Kumar, V., & Tyagi, B. (2013). Optimal placement of different type of DG sources in distribution networks. International Journal of Electrical Power & Energy Systems, 53, 752–760. https://doi.org/10.1016/j.ijepes.2013.05.040
   Web of Science ®Google Scholar
• Kansal, S., Kumar, V., & Tyagi, B. (2016). Hybrid approach for optimal placement of multiple DGs of multiple types in distribution networks. International Journal of Electrical Power & Energy Systems, 75, 226–235. https://doi.org/10.1016/j.ijepes.2015.09.002
   Web of Science ®Google Scholar
• Kaur, S., Kumbhar, G., & Sharma, J. (2014). A MINLP technique for optimal placement of multiple DG units in distribution systems. International Journal of Electrical Power & Energy Systems, 63, 609–617. https://doi.org/10.1016/j.ijepes.2014.06.023
   Web of Science ®Google Scholar
• Kayalvizhi, S., & Vinod Kumar, D. M. (2018). Optimal planning of active distribution networks with hybrid distributed energy resources using grid-based multi-objective harmony search algorithm. Applied Soft Computing, 67, 387–398. https://doi.org/10.1016/j.asoc.2018.03.009
   Web of Science ®Google Scholar
• Khosravi, S., Zamanifar, M., & Derakhshan-Barjoei, P. (2018). Analysis of bifurcations in a wind turbine system based on DFIG. Emerging Science Journal, 2(1), 39–52. https://doi.org/10.28991/esj-2018-01126
   Google Scholar
• Loong, L. H., Sabev, V. P., & Jaromír, K. J. (2011). Regional renewable energy and resource planning. Applied Energy, 88(2), 545–550. https://doi.org/10.1016/j.apenergy.2010.05.019
   Web of Science ®Google Scholar
• Malekpour, A. R., Niknam, T., Pahwa, A., & Kavousi Fard, A. (2013, May). Multi-objective stochastic distribution feeder reconfiguration in systems with wind power generators and fuel cells using the point estimate method. IEEE Transactions on Power Systems, 28(2), 1483–1492. https://doi.org/10.1109/TPWRS.2012.2218261
   Web of Science ®Google Scholar
• Mehdi Hosseini, S. (2018). The operation and model of UPQC in voltage sag mitigation using EMTP by direct method. Emerging Science Journal, 2(3), 148–156. https://doi.org/10.28991/esj-2018-01138
   Google Scholar
• Mohamed Imran, A., & Kowsalya, M. (2014). Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization. Swarm and Evolutionary Computation, 15, 58–65. https://doi.org/10.1016/j.swevo.2013.12.001
   Web of Science ®Google Scholar
• Mohsen, M., Youssef, A., Ebeed, M., & Kamel, S. 2017. Optimal planning of renewable distributed generation in distribution systems using grey wolf optimizer GWO. 2017 nineteenth international Middle East power systems conference (MEPCON) (pp. 915–921). Cairo. https://doi.org/10.1109/MEPCON.2017.8301289
   Google Scholar
• Mokryani, G., & Siano, P. (2013). Optimal wind turbines placement within a distribution market environment. Applied Soft Computing, 13(10), 4038–4046. https://doi.org/10.1016/j.asoc.2013.05.019
   Web of Science ®Google Scholar
• Moravej, Z., & Akhlaghi, A. (2013). A novel approach based on cuckoo search for DG allocation in distribution network. International Journal of Electrical Power & Energy Systems, 44(1), 672–679. https://doi.org/10.1016/j.ijepes.2012.08.009
   Web of Science ®Google Scholar
• Murthy, V. V. S. N., & Kumar, A. (2013). Comparison of optimal DG allocation methods in radial distribution systems based on sensitivity approaches. International Journal of Electrical Power & Energy Systems, 53, 450–467. https://doi.org/10.1016/j.ijepes.2013.05.018
   Web of Science ®Google Scholar
• Murty, V. V. V. S. N., & Kumar, A. (2019). Optimal DG integration and network reconfiguration in microgrid system with realistic time varying load model using hybrid optimisation. IET Smart Grid, 2(2), 192–202. https://doi.org/10.1049/iet-stg.2018.0146
   Google Scholar
• Musa, I., Gadoue, S., & Zahawi, B. (2016). Integration of induction generator based distributed generation in power distribution networks using a discrete particle swarm optimization algorithm. Electric Power Components and Systems, 44(3), 268–277. https://doi.org/10.1080/15325008.2015.1110215
   Web of Science ®Google Scholar
• Muthukumar, K., & Jayalalitha, S. (2016). Optimal placement and sizing of distributed generators and shunt capacitors for power loss minimization in radial distribution networks using hybrid heuristic search optimization technique. International Journal of Electrical Power & Energy Systems, 78, 299–319. https://doi.org/10.1016/j.ijepes.2015.11.019
   Web of Science ®Google Scholar
• Nasiraghdam, H., & Jadid, S. (2012). Optimal hybrid PV/WT/FC sizing and distribution system reconfiguration using multi-objective artificial bee colony (MOABC) algorithm. Solar Energy, 86(10), 3057–3071. https://doi.org/10.1016/j.solener.2012.07.014
   Web of Science ®Google Scholar
• Niknam, T., Bornapour, M., & Gheisari, A. (2013). Combined heat, power and hydrogen production optimal planning of fuel cell power plants in distribution networks. Energy Conversion and Management, 66, 11–25. https://doi.org/10.1016/j.enconman.2012.08.016
   Web of Science ®Google Scholar
• Niknam, T., Taheri, S. I., Aghaei, J., Tabatabaei, S., & Nayeripour, M. (2011). A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources. Applied Energy, 88(12), 4817–4830. https://doi.org/10.1016/j.apenergy.2011.06.023
   Web of Science ®Google Scholar
• Paterakis, N. G., Mazza, A., Santos, S. F., Erdinc, O., Chicco, G., Bakirtzis, A. G., & Catalao, J. P. S. (2016). Multi-objective reconfiguration of radial distribution systems using reliability indices. IEEE Transactions on Power Systems, 31(2), 1048–1062. https://doi.org/10.1109/TPWRS.2015.2425801
   Web of Science ®Google Scholar
• Pazouki, S., Mohsenzadeh, A., Ardalan, S., & Haghifam, M. (2016). Optimal place, size, and operation of combined heat and power in multi carrier energy networks considering network reliability, power loss, and voltage profile. IET Generation, Transmission & Distribution, 10(7), 1615–1621. https://doi.org/10.1049/iet-gtd.2015.0888
   Web of Science ®Google Scholar
• Prakash, D. B., & Lakshminarayana, C. (2018). Multiple DG placements in radial distribution system for multi objectives using whale optimization algorithm. Alexandria Engineering Journal, 57(4), 2797–28065. https://doi.org/10.1016/j.aej.2017.11.003
   Web of Science ®Google Scholar
• Prasad, C. H., Subbaramaiah, K., & Sujatha, P. (2019). Cost–benefit analysis for optimal DG placement in distribution systems by using elephant herding optimization algorithm. Renewables: Wind, Water and Solar, 6(1). https://doi.org/10.1186/s40807-019-0056-9
   Google Scholar
• Rao, R. V., Savsani, V. J., & Vakharia, D. P. (2011). Teaching learning-based optimization: A novel method for constrained mechanical design optimization problems. Computer Aided Design, 43(3), 303–315. https://doi.org/10.1016/j.cad.2010.12.015
   Web of Science ®Google Scholar
• Sanjay, R., Jayabarathi, T., Raghunathan, T., Ramesh, V., & Mithulananthan, N. (2017). Optimal allocation of distributed generation using hybrid Grey Wolf optimizer. IEEE Access, 5, 14807–14818. https://doi.org/10.1109/ACCESS.2017.2726586
   Web of Science ®Google Scholar
• Sheen, J.-N., Tsai, M.-T., & Wu, S.-W. (2013). A benefits analysis for wind turbine allocation in a power distribution system. Energy Conversion and Management, 68, 305–312. https://doi.org/10.1016/j.enconman.2012.12.022
   Web of Science ®Google Scholar
• Sheng, W., Liu, K., Liu, Y., Meng, X., & Li, Y. (2015, April). Optimal placement and sizing of distributed generation via an improved nondominated sorting genetic algorithm II. IEEE Transactions on Power Delivery, 30(2), 569–578. https://doi.org/10.1109/TPWRD.2014.2325938
   Web of Science ®Google Scholar
• Singh, R. K., & Goswami, S. K. (2009). Optimum siting and sizing of distributed generations in radial and networked systems. Electric Power Components and Systems, 37(2), 127–145. https://doi.org/10.1080/15325000802388633
   Web of Science ®Google Scholar
• Sulaiman, M. H., Mustafa, M. W., Azmi, A., Aliman, O., & Abdul Rahim, S. R. 2012. Optimal allocation and sizing of distributed generation in distribution system via firefly algorithm. 2012 IEEE international power engineering and optimization conference Melaka, Malaysia (pp. 84–89). Melaka. https://doi.org/10.1109/PEOCO.2012.6230840
   Google Scholar
• Suresh, M. C. V., & Belwin, E. J. (2018). Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm. Renewables: Wind, Water and Solar, 5(1), 4. https://doi.org/10.1186/s40807-018-0050-7
   Google Scholar
• Tamilselvan, V., Jayabarathi, T., Raghunathan, T., & Yang, X.-S. (2018). Optimal capacitor placement in radial distribution systems using flower pollination algorithm. Alexandria Engineering Journal, 57(4), 2775–2786. https://doi.org/10.1016/j.aej.2018.01.004
   Web of Science ®Google Scholar