Abstract
Due to the intermittence of renewable sources, reliable customer service is not guaranteed unless hybrid-energy systems emerged with energy storage is employed together with an appropriate energy management system (EMS). Usually integrating different renewable energy sources can able to supply a reliable power to consumers. In this paper, an efficient EMS for a four-wire, 1000 kW Microgrid system is presented. The studied system consists of three wind farms and three solar plants with a central link to battery banks, an electrolyzer, and a fuel-cell system. A hybrid optimization algorithm is adapted to track the maximum power of PV arrays under variable weather and partial shading conditions. The tracking algorithm merges the benefits of the Whale Optimization and Perturb-and-Observe (P&O) technique. To track the maximum available power of wind plants, a P&O algorithm is established by calculating the proper duty cycle of a boost dc/dc converter that regulates the load current. A TS-Fuzzy-based controller for the inverter is applied to provide an acceptable power quality level associated with the battery bank, electrolyzer, and fuel cell. The suggested inverter controllers provide multi tasks such as reactive power compensator, voltage regulator under unbalanced loads, and active filter. The validity of the proposed system is verified via Extensive Hardware-in-Loop (HIL).
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Barua, P, Ghosh, B. Feasibility analysis of renewable energy based hybrid power system in a coastal area, Bangladesh. In: 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE). Dhaka, Bangladesh: IEEE; 2020:1–6 pp.10.1109/ETCCE51779.2020.9350875Search in Google Scholar
2. IRENA, IEA, REN. Renewable energy policies in a time of transition [Online]; 2018. www.irena.org [Accessed 6 Aug 2021].Search in Google Scholar
3. Rehman, S, Habib, HUR, Wang, S, Büker, MS, Alhems, LM, Al Garni, HZ. Optimal design and model predictive control of standalone HRES: a real case study for residential demand side management. IEEE Access 2020;8:29767–814. https://doi.org/10.1109/ACCESS.2020.2972302.Search in Google Scholar
4. Pradhan, C, Senapati, MK, Malla, SG, Nayak, PK, Gjengedal, T. Coordinated power management and control of standalone PV-hybrid system with modified IWO-based MPPT. IEEE Syst J 2020;15:1–12. https://doi.org/10.1109/JSYST.2020.3020275.Search in Google Scholar
5. Bhende, CN, Mishra, S, Malla, SG. Permanent magnet synchronous generator-based standalone wind energy supply system. IEEE Trans Sustain Energy 2011;2:361–73. https://doi.org/10.1109/TSTE.2011.2159253.Search in Google Scholar
6. Haque, ME, Negnevitsky, M, Muttaqi, KM. A novel control strategy for a variable-speed wind turbine with a permanent-magnet synchronous generator. IEEE Trans Ind Appl 2010;46:331–9. https://doi.org/10.1109/TIA.2009.2036550.Search in Google Scholar
7. Malla, SG, Bhende, CN. Enhanced operation of stand-alone ‘Photovoltaic-Diesel Generator-Battery’ system. Elec Power Syst Res 2014;107:250–7. https://doi.org/10.1016/J.EPSR.2013.10.009.Search in Google Scholar
8. Malla, SG, Bhende, CN. Voltage control of stand-alone wind and solar energy system. Int J Electr Power Energy Syst 2014;56:361–73. https://doi.org/10.1016/j.ijepes.2013.11.030.Search in Google Scholar
9. Akram, U, Khalid, M, Shafiq, S. An improved optimal sizing methodology for future autonomous residential smart power systems. IEEE Access 2018;6:5986–6000. https://doi.org/10.1109/ACCESS.2018.2792451.Search in Google Scholar
10. Dehnavi, G, Ginn, HL. Distributed load sharing among converters in an autonomous microgrid including PV and wind power units. IEEE Trans Smart Grid 2019;10:4289–98. https://doi.org/10.1109/TSG.2018.2856480.Search in Google Scholar
11. Alahmadi, AAA, Belkhier, Y, Ullah, N, Abeida, H, Soliman, MS, Khraisat, YSH, et al.. Hybrid wind/PV/battery energy management-based intelligent non-integer control for smart DC-microgrid of smart university. IEEE Access 2021;9:98948–61. https://doi.org/10.1109/ACCESS.2021.3095973.Search in Google Scholar
12. Almehizia, AA, Al-Masri, HMK, Ehsani, M. Integration of renewable energy sources by load shifting and utilizing value storage. IEEE Trans Smart Grid 2018;10:4974–84. https://doi.org/10.1109/TSG.2018.2871806.Search in Google Scholar
13. Megantoro, P, Nugroho, YD, Anggara, F, Suhono, Rusadi, EY. Simulation and characterization of genetic algorithm implemented on MPPT for PV system under partial shading condition. In: Proceedings – 2018 3rd international conference on information technology, information system and electrical engineering ICITISEE 2018. Yogyakarta; 2018:74–8 pp.10.1109/ICITISEE.2018.8721031Search in Google Scholar
14. Sundareswaran, K, Vignesh kumar, V, Palani, S. Application of a combined particle swarm optimization and perturb and observe method for MPPT in PV systems under partial shading conditions. Renew Energy 2015;75:308–17. https://doi.org/10.1016/J.RENENE.2014.09.044.Search in Google Scholar
15. Mohanty, S, Subudhi, B, Ray, PK. A grey wolf-assisted perturb & observe MPPT algorithm for a PV system. IEEE Trans Energy Convers 2017;32:340–7. https://doi.org/10.1109/TEC.2016.2633722.Search in Google Scholar
16. He, Y, Wang, M, Xu, Z. Coordinative low-voltage-ride-through control for the wind-photovoltaic hybrid generation system. IEEE J Emerg Sel Top Power Electron 2019;8:1503–14. https://doi.org/10.1109/JESTPE.2019.2958213.Search in Google Scholar
17. Imran, A, Hafeez, G, Khan, I, Usman, M, Shafiq, Z, Qazi, AB, et al.. Heuristic-based programable controller for efficient energy management under renewable energy sources and energy storage system in smart grid. IEEE Access 2020;8:139587–608. https://doi.org/10.1109/ACCESS.2020.3012735.Search in Google Scholar
18. Chang, X, Xu, Y, Gu, W, Sun, H, Chow, MY, Yi, Z. Accelerated distributed hybrid stochastic/robust energy management of smart grids. IEEE Trans Ind Inf 2021;17:5335–47. https://doi.org/10.1109/TII.2020.3022412.Search in Google Scholar
19. Alharbi, YM, Alahmadi, AAA, Ullah, N, Abeida, H, Soliman, MS, Khraisat, YSH. Super twisting fractional order energy management control for a smart university system integrated DC micro-grid. IEEE Access 2020;8:128692–704. https://doi.org/10.1109/ACCESS.2020.3008858.Search in Google Scholar
20. Rezkallah, M, Singh, S, Chandra, A, Singh, B, Tremblay, M, Saad, M, et al.. Comprehensive controller implementation for wind-PV-diesel based standalone microgrid. IEEE Trans Ind Appl 2019;55:5416–28. https://doi.org/10.1109/TIA.2019.2928254.Search in Google Scholar
21. Mirjalili, S, Lewis, A. The whale optimization algorithm. Adv Eng Software 2016;95:51–67. https://doi.org/10.1016/J.ADVENGSOFT.2016.01.008.Search in Google Scholar
22. Rana, N, Latiff, MSA, Abdulhamid, SM, Chiroma, H. Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments. Neural Comput Appl 2020;32:16245–77. https://doi.org/10.1007/S00521-020-04849-Z.Search in Google Scholar
23. Bélanger, J, Venne, P, Paquin, JN. The what, where and why of real-time simulation. In: IEEE PES general meeting. Opal-RT Technologies Inc., Montreal, QC, Canada; 2010, vol 1:37–49 pp.Search in Google Scholar
24. Pidikiti, T, Shreedevi, GB, Mopidevi Subbarao, VB, Krishna, M. Design and control of Takagi-Sugeno-Kang fuzzy based inverter for power quality improvement in grid-tied PV systems. Measurement: Sensors 2023;25:100638. https://doi.org/10.1016/j.measen.2022.100638.Search in Google Scholar
© 2023 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- A condition evaluation ensemble for power metering HPLC units within complex data scenarios
- Improvement of power quality by using novel controller for hybrid renewable energy sources based microgrid
- Novel multilevel inverter topology with low switch count
- Economic analysis of HRES-based distributed generation for mitigation of power loss and voltage profile problem
- An accurate method for parameter estimation of proton exchange membrane fuel cell using Dandelion optimizer
- DC ground fault monitoring method of electrical equipment in 110 kV smart substation based on improved rough set
- Analysis of characteristics of rail transit stray current and saturation mechanism of current transformer
- Power quality enhancement using a novel SAPF control scheme employing high selectivity filter
- Optimal ranking-based charging station selection for electric vehicles
- PQ event identification in PV-wind based distribution network with variational mode decomposition and novel feature enabled random forest classifier
- A fuzzy-logic-based smart power management strategy for reliability enhancement of energy storage system in a hybrid AC-DC microgrid with EV charging station
Articles in the same Issue
- Frontmatter
- Research Articles
- A condition evaluation ensemble for power metering HPLC units within complex data scenarios
- Improvement of power quality by using novel controller for hybrid renewable energy sources based microgrid
- Novel multilevel inverter topology with low switch count
- Economic analysis of HRES-based distributed generation for mitigation of power loss and voltage profile problem
- An accurate method for parameter estimation of proton exchange membrane fuel cell using Dandelion optimizer
- DC ground fault monitoring method of electrical equipment in 110 kV smart substation based on improved rough set
- Analysis of characteristics of rail transit stray current and saturation mechanism of current transformer
- Power quality enhancement using a novel SAPF control scheme employing high selectivity filter
- Optimal ranking-based charging station selection for electric vehicles
- PQ event identification in PV-wind based distribution network with variational mode decomposition and novel feature enabled random forest classifier
- A fuzzy-logic-based smart power management strategy for reliability enhancement of energy storage system in a hybrid AC-DC microgrid with EV charging station