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Energy analysis and optimizing of hybrid WT/ PV cell in power systems

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The importance placed on renewable energy is growing exponentially due to rising demand for energy, concerns about the environmental impact of burning fossil fuels and fears about the world’s limited fossil fuel reserves. This study features an optimal combination of scattered production sources (wind-solar), an IEEE 33-bus system, and beta distribution to model wind speed. The load and production planning period is 24 hours. The aim of this study is to improve voltage profiles, increase reliability and reduce losses. The resulting model forecast a 39% loss-improvement in the presence of wind turbines and a 40% loss-improvement in the presence of photovoltaic cells, which highlights the role of these renewable resources in the grid.
Rocznik
Strony
108--120
Opis fizyczny
Bibliogr. 24 poz., tab., tab., wykr.
Twórcy
autor
  • Departement of mechanics, Germi Branch, Islamic Azad University, Germi, Iran
  • Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran
  • Department of Electrical Engineering, Daneshestan Institute of Higher Education, Saveh, Iran
  • Departement of mechanics, Germi Branch, Islamic Azad University, Germi, Iran
Bibliografia
  • [1] Jain S, Kalambe S, Agnihotri G, Mishra A. Distributed generation deployment: State-of-the-art of distribution system planning in sustainable era. Renewable and Sustainable Energy Reviews 2017;77:363-85. https://doi.org/10.1016/J.RSER.2017.04.024.
  • [2] Eltamaly AM, Sayed Mohamed Y, El-Sayed A-HM, Nasr A, Elghaffar A. Reliability / Security of Distribution System Network under Supporting by Distributed Generation. Insight - Energy Science 2019;2:1-14. https://doi.org/10.18282/i-es.v2i1.181.
  • [3] Alayi R, Kasaeian A, Atabi F. Thermal analysis of parabolic trough concentration photovoltaic/thermal system for using in buildings. Environmental Progress & Sustainable Energy 2019;38:13220. https://doi.org/10.1002/EP.13220.
  • [4] Tribioli L, Cozzolino R. Techno-economic analysis of a stand-alone microgrid for a commercial building in eight different climate zones. Energy Conversion and Management 2019;179:58–71. https://doi.org/10.1016/J.ENCONMAN.2018.10.061.
  • [5] Alayi R, Jahanbin F. Generation Management Analysis of a Stand-alone Photovoltaic System with Battery. Renewable Energy Research and Applications 2020;1:205-9. https://doi.org/10.22044/RERA.2020.9492.1026.
  • [6] Cavalcanti D, Perez-Ramirez J, Rashid MM, Fang J, Galeev M, Stanton KB. Extending Accurate Time Distribution and Timeliness Capabilities over the Air to Enable Future Wireless Industrial Automation Systems. Proceedings of the IEEE 2019;107:1132-52. https://doi.org/10.1109/JPROC.2019.2903414.
  • [7] Nguyen HT, Battula S, Takkala RR, Wang Z, Tesfatsion L. An integrated transmission and distribution test system for evaluation of transactive energy designs. Applied Energy 2019;240:666-79. https://doi.org/10.1016/J.APENERGY.2019.01.178.
  • [8] Esmaeili S, Anvari-Moghaddam A, Jadid S, Guerrero JM. Optimal simultaneous day-ahead scheduling and hourly reconfiguration of distribution systems considering responsive loads. International Journal of Electrical Power & Energy Systems 2019;104:537-48. https://doi.org/10.1016/J.IJEPES.2018.07.055.
  • [9] Valverde G, Shchetinin D, Hug-Glanzmann G. Coordination of distributed reactive power sources for voltage support of transmission networks. IEEE Transactions on Sustainable Energy 2019;10:1544-53. https://doi.org/10.1109/TSTE.2019.2892671.
  • [10] Murty VVVSN, Sharma AK. Optimal coordinate control of OLTC, DG, D-STATCOM, and reconfiguration in distribution system for voltage control and loss minimization. International Transactions on Electrical Energy Systems 2019;29:e2752. https://doi.org/10.1002/ETEP.2752.
  • [11] Kim I, Harley RG. Examination of the effect of the reactive power control of photovoltaic systems on electric power grids and the development of a voltage-regulation method that considers feeder impedance sensitivity. Electric Power Systems Research 2020;180:106130. https://doi.org/10.1016/J.EPSR.2019.106130.
  • [12] Ampofo DO, Myrzik JMA. A Comparative Study of Different Local Reactive Power Control Methods of Distributed Generation in Ghana. IEEE PES/IAS PowerAfrica Conference: Power Economics and Energy Innovation in Africa, Power Africa 2019 2019:504-9. https://doi.org/10.1109/POWERAFRICA.2019.8928779.
  • [13] Eltamaly AM, Mohamed YS, El-Sayed AHM, Elghaffar ANA. Analyzing of wind distributed generation configuration in active distribution network. 2019 8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO 2019 2019. https://doi.org/10.1109/ICMSAO.2019.8880291.
  • [14] Liu W, Chen Y, Wang L, Liu N, Xu H, Liu Z. An Integrated Planning Approach for Distributed Generation Interconnection in Cyber Physical Active Distribution Systems. IEEE Transactions on Smart Grid 2020;11:541–54. https://doi.org/10.1109/TSG.2019.2925254.
  • [15] Mahdad B. Optimal reconfiguration and reactive power planning based fractal search algorithm: A case study of the Algerian distribution electrical system. Engineering Science and Technology, an International Journal 2019;22:78-101. https://doi.org/10.1016/J.JESTCH.2018.08.013.
  • [16] Muminovic Z, Dedovic MM, Avdakovic S. Optimal capacitor placement in low voltage distribution grid. ICAT 2019 - 27th International Conference on Information, Communication and Automation Technologies, Proceedings 2019. https://doi.org/10.1109/ICAT47117.2019.8938988.
  • [17] Hao Y, Yi Y, Tang J, Shi M. Active Reactive Power Control Strategy Based on Electrochemical Energy Storage Power Station. 2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019 2019:90-4. https://doi.org/10.1109/EI247390.2019.9062188.
  • [18] Chen J, Xu J, Zhong S. Optimal Voltage Control for Active Distribution Networks. ISPEC 2019 - 2019 IEEE Sustainable Power and Energy Conference: Grid Modernization for Energy Revolution, Proceedings 2019:382-91. https://doi.org/10.1109/ISPEC48194.2019.8974988.
  • [19] Huang Z, Fang B, Deng J. Multi-objective optimization strategy for distribution network considering V2G-enabled electric vehicles in building integrated energy system. Protection and Control of Modern Power Systems 2020;5. https://doi.org/10.1186/s41601-020-0154-0.
  • [20] Saffari M, Kia M, Vahidinasab V, Mehran K. Integrated active/reactive power scheduling of interdependent microgrid and EV fleets based on stochastic multi-objective normalised normal constraint. IET Generation, Transmission & Distribution 2020;14:2055-64. https://doi.org/10.1049/IET-GTD.2019.1406.
  • [21] Alayi R, Kasaeian A, Atabi F. Optical modeling and optimization of parabolic trough concentration photovoltaic/thermal system. Environmental Progress & Sustainable Energy 2020;39:e13303. https://doi.org/10.1002/EP.13303.
  • [22] Marefati M, Shamel A, Alayi R, Gholaminia B, Rohi H. Designing a PID controller to control a fuel cell voltage using the imperialist competitive algorithm. Advances in Science and Technology Research Journal 2016;Vol. 10:176-81. https://doi.org/10.12913/22998624/62629.
  • [23] Zhang X, Liu J, Liu T, Zhou L. A novel power distribution strategy for parallel inverters in islanded mode microgrid. Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC 2010:2116-20. https://doi.org/10.1109/APEC.2010.5433528.
  • [24] Lappalainen K, Valkealahti S. Output power variation of different PV array configurations during irradiance transitions caused by moving clouds. Applied Energy 2017;190:902-10. https://doi.org/10.1016/J.APENERGY.2017.01.013.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4ccfd403-c21e-4503-bff7-59afda160442
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