<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="4.3.0" xmlns="http://www.crossref.org/doi_resources_schema/4.3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/doi_resources_schema/4.3.0 http://www.crossref.org/schema/deposit/doi_resources4.3.0.xsd">
<head>
<doi_batch_id>37aa60ab-7b4c-4f5c-a61b-55ac4e2b2747</doi_batch_id>
<depositor>
<name>beie</name>
<email_address>director@blueeyesintelligence.org</email_address>
</depositor>
</head>
<body>
<doi_citations>
<doi>10.35940/ijrte.A6935.0511122</doi>
<citation_list><citation key="ref0"><doi>10.1109/ICECDS.2017.8389983</doi><unstructured_citation>Kratika Yadav Student, 2017, &quot;Performance analysis of the grid connected hybrid PV/wind power system&quot;, IEEE International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), DOI: 10.1109/ICECDS.2017.8389983</unstructured_citation></citation><citation key="ref1"><doi>10.1016/j.gloei.2020.07.003</doi><unstructured_citation>Xuhui Shen et al., 2020, &quot;Evaluation of optimal UPFC allocation For improving transmission capacity, Global Energy Interconnection Volume 3 Number 3 June 2020 (217-226) DOI: 10.1016/j.gloei.2020.07.003</unstructured_citation></citation><citation key="ref2"><doi>10.1007/s00500-019-04408-2</doi><unstructured_citation>Di Wu, 2019, &quot;Modeling and simulation of novel dynamic control strategy for PV-wind hybrid power system using FGS−PID and RBFNSM methods&quot;, Soft Computing volume 24, pages8403-8425(2020),DOI: https://doi.org/10.1007/s00500-019-04408-2</unstructured_citation></citation><citation key="ref3"><doi>10.1177/0142331220957890</doi><unstructured_citation>Raghu Thumu et al.,2020, &quot;Unified power flow controller in grid-connected hybrid renewable energy system for power flow control using an elitist control strategy&quot;, https://doi.org/10.1177/0142331220957890.</unstructured_citation></citation><citation key="ref4"><doi>10.1007/s12667-017-0251-y</doi><unstructured_citation>Belabbas, B, Allaoui, T, Tadjine, M, et al. (2017) Power management and control strategies for off-grid hybrid power systems with renewable energies and storage. Energy Systems 10(2): 355-384.</unstructured_citation></citation><citation key="ref5"><doi>10.1080/23080477.2015.11665647</doi><unstructured_citation>Rashid Al Badwawiet al., 2015, &quot;A Review of Hybrid Solar PV and Wind Energy System&quot;, Smart Science 3(3):127-138 DOI: 10.1080/23080477.2015.11665647</unstructured_citation></citation><citation key="ref6"><doi>10.1109/PESGRE45664.2020.9070373</doi><unstructured_citation>Abhilash Sen et al, 2020, &quot;A comparative analysis between two DPFC models in a grid connected Hybrid Solar- Wind Generation system&quot;, IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE), DOI: 10.1109/PESGRE45664.2020.9070373</unstructured_citation></citation><citation key="ref7"><doi>10.35940/ijrte.E6348.018520</doi><unstructured_citation>Vireshkumar Mathad et al., 2020, &quot;Optimum Power Flow and Optimum Placement of Unified Power Flow Controller (UPFC) using Optimization Technique&quot;, International Journal of Recent Technology and Engineering (IJRTE), DOI:10.35940/ijrte.E6348.018520</unstructured_citation></citation><citation key="ref8"><doi>10.1109/ACCESS.2020.3043297</doi><unstructured_citation>B. Ismail, N. I. Abdul Wahab, M. L. Othman, M. A. M. Radzi, K. Naidu Vijyakumar and M. N. Mat Naain, &quot;A Comprehensive Review on Optimal Location and Sizing of Reactive Power Compensation Using Hybrid-Based Approaches for Power Loss Reduction, Voltage Stability Improvement, Voltage Profile Enhancement and Loadability Enhancement,&quot; in IEEE Access, vol. 8, pp. 222733-222765, 2020, doi: 10.1109/ACCESS.2020.3043297.</unstructured_citation></citation><citation key="ref9"><journal_title>Electr Power Syst Res</journal_title><author>Meirinhos</author><volume>146</volume><first_page>25</first_page><cYear>2017</cYear><doi>10.1016/j.epsr.2017.01.016</doi><article_title>Multitemporal optimal power flow for voltage control in MV networks using distributed energy resources</article_title><unstructured_citation>Meirinhos JL, Rua DE, Carvalho LM, Madureira AG (2017) Multitemporal optimal power flow for voltage control in MV networks using distributed energy resources. Electr Power Syst Res 146:25-32</unstructured_citation></citation><citation key="ref10"><journal_title>Sustain Cities Soc</journal_title><author>Golshannavaz</author><volume>39</volume><first_page>317</first_page><cYear>2018</cYear><doi>10.1016/j.scs.2018.02.018</doi><article_title>Cooperation of electric vehicle and energy storage in reactive power compensation: an optimal home energy management system considering PV presence</article_title><unstructured_citation>Golshannavaz S (2018) Cooperation of electric vehicle and energy storage in reactive power compensation: an optimal home energy management system considering PV presence. Sustain Cities Soc 39:317-325</unstructured_citation></citation><citation key="ref11"><journal_title>2017 IEEE energy conversion congress and exposition (ECCE)</journal_title><author>Ikeda</author><first_page>2975</first_page><cYear>2017</cYear><doi>10.1109/ECCE.2017.8096547</doi><article_title>Harmonics compensation with constant DC-capacitor voltage-control-based strategy of smart charger for electric vehicles in single-phase three-wire distribution feeders under distorted source voltage and load currents conditions</article_title><unstructured_citation>Ikeda F, Nishikawa K, Okamoto Y, Yamada H, Tanaka T, Okamoto M (2017) Harmonics compensation with constant DC-capacitor voltage-control-based strategy of smart charger for electric vehicles in single-phase three-wire distribution feeders under distorted source voltage and load currents conditions. In: 2017 IEEE energy conversion congress and exposition (ECCE), pp 2975-2982</unstructured_citation></citation><citation key="ref12"><unstructured_citation>Liangdong Z, Wenhui C (1998) Research on UPFC Model and Controller. Automation of Electric Power Systems (1):36-39</unstructured_citation></citation><citation key="ref13"><unstructured_citation>Chen G (2004) Research on physical model of unified power flow controller. Dissertation, Wuhan University</unstructured_citation></citation><citation key="ref14"><journal_title>Proceedings of the 7th International Conference on Evolutionary Programming VII</journal_title><author>Shi</author><first_page>591</first_page><cYear>1998</cYear><doi>10.1007/bfb0040810</doi><article_title>Parameter Selection in Particle Swarm Optimization</article_title><unstructured_citation>Shi, Y.H. and Eberhart, R.C. (1998) Parameter Selection in Particle Swarm Optimization. Proceedings of the 7th International Conference on Evolutionary Programming VII, 591-600.</unstructured_citation></citation><citation key="ref15"><doi>10.1007/b99492</doi><unstructured_citation>Dorigo, M. and Stützle, T. (2004) Ant Colony Optimization. MIT Press, Cambridge. http://dx.doi.org/10.1007/b99492</unstructured_citation></citation><citation key="ref16"><unstructured_citation>Karaboga, D. (2005) An Idea Based on Honey Bee Swarm for Numerical Optimization. Technical Report-TR06, Erciyes University, Engineering Faculty, Department of Computer Engineering.</unstructured_citation></citation><citation key="ref17"><doi>10.1126/science.220.4598.671</doi><unstructured_citation>Kirkpatrick, S., Gelatt, Jr., C.D. and Vecchi, M.P. (1983) Optimization by Simulated Annealing. Science, 220, 671- 680. http://dx.doi.org/10.1126/science.220.4598.671</unstructured_citation></citation><citation key="ref18"><unstructured_citation>Li, W.W., Wang, H., Zou, Z.J. and Qian, J.X. (2005) Function Optimization Method Based on Bacterial Colony Chemotaxis. Journal of Circuits and Systems, 10, 58-63.</unstructured_citation></citation><citation key="ref19"><doi>10.1016/j.knosys.2011.07.001</doi><unstructured_citation>Pan, W.T. (2011) A New Fruit Fly Optimization Algorithm: Taking the Financial Distress Model as an Example. Knowledge-Based Systems, 26, 69-74. http://dx.doi.org/10.1016/j.knosys.2011.07.001</unstructured_citation></citation><citation key="ref20"><doi>10.1186/s40708-020-0102-9</doi><unstructured_citation>Yancang L et al.,2020, &quot;Improved fruit fly algorithm on structural optimization&quot;, Li and Han Brain Inf. (2020) 7:1 https://doi.org/10.1186/s40708-020-0102-9.</unstructured_citation></citation><citation key="ref21"><doi>10.3233/JIFS-169783</doi><unstructured_citation>Jaiswalet al., 2018, &quot;A PSO based search for optimal tuning and fixing of UPFC to improve usefulness of distribution system&quot;,Journal of Intelligent &amp; Fuzzy Systems, vol. 35, no. 5, pp. 4987-4995, 2018</unstructured_citation></citation><citation key="ref22"><doi>10.15866/ireaco.v11i1.12941</doi><unstructured_citation>Narayan Nahak et al, 2018, &quot;Investigation of UPFC Based Damping Controller Parameter for Power Oscillation Damping by Grey-Wolf Optimizer with Time Delay for Multi Machine System&quot;,DOI: https://doi.org/10.15866/ireaco.v11i1.12941</unstructured_citation></citation><citation key="ref23"><doi>10.1007/s00500-020-04966-w</doi><unstructured_citation>Radhika, A., Soundradevi, G. &amp; Mohan Kumar, R. An effective compensation of power quality issues using MPPT-based cuckoo search optimization approach. Soft Comput 24, 16719-16725 (2020). https://doi.org/10.1007/s00500-020-04966-w</unstructured_citation></citation></citation_list>
</doi_citations>
</body>
</doi_batch>
