IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v219y2023ip1s0960148123013629.html
   My bibliography  Save this article

Energy efficiency evaluation and optimization of active distribution networks with building integrated photovoltaic systems

Author

Listed:
  • Luo, Tengqi
  • Xuan, Ang
  • Wang, Yafei
  • Li, Guanglei
  • Fang, Juan
  • Liu, Zhengguang

Abstract

With the rapid development of building integrated photovoltaic (BIPV) technology, rooftop PV grid-connected systems face challenges in operation. When the consumption rate of BIPV systems is low, power reverse increases distribution network losses and decreases power supply quality. Traditional energy efficiency evaluations for distribution networks do not consider the impact of low BIPV consumption rates on network losses. This paper establishes an energy efficiency evaluation model for distribution networks with BIPV systems based on adversarial interpretive structural modeling and proposes an energy efficiency indicator system applicable to distribution networks with BIPV systems. The method was applied to eight distribution networks with BIPV systems, achieving accurate energy efficiency level rankings. Through single-factor sensitivity analysis of the indicator system, the primary factors affecting distribution networks with BIPV systems energy efficiency were identified. A reactive power optimization model based on multi-objective particle swarm optimization algorithm was established. After optimization, network losses decreased by 153 kW, PV consumption rate increased by 73 %, and node voltage drift was significantly enhanced. Corresponding loss reduction strategies were proposed for other indicators. This paper provides valuable references for planning and renovating distribution networks with BIPV systems.

Suggested Citation

  • Luo, Tengqi & Xuan, Ang & Wang, Yafei & Li, Guanglei & Fang, Juan & Liu, Zhengguang, 2023. "Energy efficiency evaluation and optimization of active distribution networks with building integrated photovoltaic systems," Renewable Energy, Elsevier, vol. 219(P1).
    • Handle: RePEc:eee:renene:v:219:y:2023:i:p1:s0960148123013629
    DOI: 10.1016/j.renene.2023.119447
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123013629
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119447?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jahangiri, Mehdi & Rezaei, Mostafa & Mostafaeipour, Ali & Goojani, Afsaneh Raiesi & Saghaei, Hamed & Hosseini Dehshiri, Seyyed Jalaladdin & Hosseini Dehshiri, Seyyed Shahabaddin, 2022. "Prioritization of solar electricity and hydrogen co-production stations considering PV losses and different types of solar trackers: A TOPSIS approach," Renewable Energy, Elsevier, vol. 186(C), pages 889-903.
    2. Kim, Seongyoon & Choi, Yun Young & Choi, Jung-Il, 2022. "Impedance-based capacity estimation for lithium-ion batteries using generative adversarial network," Applied Energy, Elsevier, vol. 308(C).
    3. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    4. Zhou, Kaile & Yang, Shanlin & Shen, Chao & Ding, Shuai & Sun, Chaoping, 2015. "Energy conservation and emission reduction of China’s electric power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 10-19.
    5. Ghaffari, Abolfazl & Askarzadeh, Alireza & Fadaeinedjad, Roohollah, 2022. "Optimal allocation of energy storage systems, wind turbines and photovoltaic systems in distribution network considering flicker mitigation," Applied Energy, Elsevier, vol. 319(C).
    6. Ji, Haoran & Wang, Chengshan & Li, Peng & Song, Guanyu & Yu, Hao & Wu, Jianzhong, 2019. "Quantified analysis method for operational flexibility of active distribution networks with high penetration of distributed generators," Applied Energy, Elsevier, vol. 239(C), pages 706-714.
    7. Cagnano, A. & De Tuglie, E., 2015. "Centralized voltage control for distribution networks with embedded PV systems," Renewable Energy, Elsevier, vol. 76(C), pages 173-185.
    8. Sadeghi, Delnia & Hesami Naghshbandy, Ali & Bahramara, Salah, 2020. "Optimal sizing of hybrid renewable energy systems in presence of electric vehicles using multi-objective particle swarm optimization," Energy, Elsevier, vol. 209(C).
    9. Ma, Chenjie & Dasenbrock, Johannes & Töbermann, J.-Christian & Braun, Martin, 2019. "A novel indicator for evaluation of the impact of distributed generations on the energy losses of low voltage distribution grids," Applied Energy, Elsevier, vol. 242(C), pages 674-683.
    10. Kharrazi, A. & Sreeram, V. & Mishra, Y., 2020. "Assessment techniques of the impact of grid-tied rooftop photovoltaic generation on the power quality of low voltage distribution network - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    11. Zhang, Peng & Li, Wenyuan & Li, Sherwin & Wang, Yang & Xiao, Weidong, 2013. "Reliability assessment of photovoltaic power systems: Review of current status and future perspectives," Applied Energy, Elsevier, vol. 104(C), pages 822-833.
    12. Duman, A. Can & Güler, Önder, 2020. "Economic analysis of grid-connected residential rooftop PV systems in Turkey," Renewable Energy, Elsevier, vol. 148(C), pages 697-711.
    13. Adefarati, T. & Bansal, R.C., 2019. "Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources," Applied Energy, Elsevier, vol. 236(C), pages 1089-1114.
    14. Huyghues-Beaufond, Nathalie & Tindemans, Simon & Falugi, Paola & Sun, Mingyang & Strbac, Goran, 2020. "Robust and automatic data cleansing method for short-term load forecasting of distribution feeders," Applied Energy, Elsevier, vol. 261(C).
    15. Nousdilis, Angelos I. & Christoforidis, Georgios C. & Papagiannis, Grigoris K., 2018. "Active power management in low voltage networks with high photovoltaics penetration based on prosumers’ self-consumption," Applied Energy, Elsevier, vol. 229(C), pages 614-624.
    16. Borhanazad, Hanieh & Mekhilef, Saad & Gounder Ganapathy, Velappa & Modiri-Delshad, Mostafa & Mirtaheri, Ali, 2014. "Optimization of micro-grid system using MOPSO," Renewable Energy, Elsevier, vol. 71(C), pages 295-306.
    17. Yücenur, G. Nilay & Çaylak, Şeyma & Gönül, Gözde & Postalcıoğlu, Melike, 2020. "An integrated solution with SWARA&COPRAS methods in renewable energy production: City selection for biogas facility," Renewable Energy, Elsevier, vol. 145(C), pages 2587-2597.
    18. Numbi, B.P. & Malinga, S.J., 2017. "Optimal energy cost and economic analysis of a residential grid-interactive solar PV system- case of eThekwini municipality in South Africa," Applied Energy, Elsevier, vol. 186(P1), pages 28-45.
    19. Yang, Hongming & Liang, Rui & Yuan, Yuan & Chen, Bowen & Xiang, Sheng & Liu, Junpeng & Zhao, Huan & Ackom, Emmanuel, 2022. "Distributionally robust optimal dispatch in the power system with high penetration of wind power based on net load fluctuation data," Applied Energy, Elsevier, vol. 313(C).
    20. Dashti, Reza & Yousefi, Shaghayegh & Parsa Moghaddam, Mohsen, 2013. "Comprehensive efficiency evaluation model for electrical distribution system considering social and urban factors," Energy, Elsevier, vol. 60(C), pages 53-61.
    21. Wang, Jianda & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Decoupling and decomposition analysis of investments and CO2 emissions in information and communication technology sector," Applied Energy, Elsevier, vol. 302(C).
    22. Avinash, A. & Sasikumar, P. & Murugesan, A., 2018. "Understanding the interaction among the barriers of biodiesel production from waste cooking oil in India- an interpretive structural modeling approach," Renewable Energy, Elsevier, vol. 127(C), pages 678-684.
    23. Li, Jidong & Chen, Shijun & Wu, Yuqiang & Wang, Qinhui & Liu, Xing & Qi, Lijian & Lu, Xiuyuan & Gao, Lu, 2021. "How to make better use of intermittent and variable energy? A review of wind and photovoltaic power consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    24. Sadeghian, Hamidreza & Wang, Zhifang, 2020. "A novel impact-assessment framework for distributed PV installations in low-voltage secondary networks," Renewable Energy, Elsevier, vol. 147(P1), pages 2179-2194.
    25. Adefarati, T. & Bansal, R.C., 2017. "Reliability and economic assessment of a microgrid power system with the integration of renewable energy resources," Applied Energy, Elsevier, vol. 206(C), pages 911-933.
    26. Liao, Maolin & Zhang, Ze & Jia, Jin & Xiong, Jiao & Han, Mengyao, 2022. "Mapping China's photovoltaic power geographies: Spatial-temporal evolution, provincial competition and low-carbon transition," Renewable Energy, Elsevier, vol. 191(C), pages 251-260.
    27. Md. Shouquat Hossain & Naseer Abboodi Madlool & Ali Wadi Al-Fatlawi & Mamdouh El Haj Assad, 2023. "High Penetration of Solar Photovoltaic Structure on the Grid System Disruption: An Overview of Technology Advancement," Sustainability, MDPI, vol. 15(2), pages 1-25, January.
    28. Rampinelli, G.A. & Krenzinger, A. & Chenlo Romero, F., 2014. "Mathematical models for efficiency of inverters used in grid connected photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 578-587.
    29. Oleksii Lyulyov & Ihor Vakulenko & Tetyana Pimonenko & Aleksy Kwilinski & Henryk Dzwigol & Mariola Dzwigol-Barosz, 2021. "Comprehensive Assessment of Smart Grids: Is There a Universal Approach?," Energies, MDPI, vol. 14(12), pages 1-26, June.
    30. Ramli, Makbul A.M. & Hiendro, Ayong & Sedraoui, Khaled & Twaha, Ssennoga, 2015. "Optimal sizing of grid-connected photovoltaic energy system in Saudi Arabia," Renewable Energy, Elsevier, vol. 75(C), pages 489-495.
    31. Andrea Saltelli, 2002. "Sensitivity Analysis for Importance Assessment," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 579-590, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luo, Jianing & Yuan, Yanping & Joybari, Mahmood Mastani & Cao, Xiaoling, 2024. "Development of a prediction-based scheduling control strategy with V2B mode for PV-building-EV integrated systems," Renewable Energy, Elsevier, vol. 224(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sun, Xu & Liu, Yanli & Deng, Liangchen, 2020. "Reliability assessment of cyber-physical distribution network based on the fault tree," Renewable Energy, Elsevier, vol. 155(C), pages 1411-1424.
    2. Hassan, Aakash & Al-Abdeli, Yasir M. & Masek, Martin & Bass, Octavian, 2022. "Optimal sizing and energy scheduling of grid-supplemented solar PV systems with battery storage: Sensitivity of reliability and financial constraints," Energy, Elsevier, vol. 238(PA).
    3. A.S. Jameel Hassan & Umar Marikkar & G.W. Kasun Prabhath & Aranee Balachandran & W.G. Chaminda Bandara & Parakrama B. Ekanayake & Roshan I. Godaliyadda & Janaka B. Ekanayake, 2021. "A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration," Energies, MDPI, vol. 14(20), pages 1-24, October.
    4. Su, Hongzhi & Wang, Chengshan & Li, Peng & Li, Peng & Liu, Zhelin & Wu, Jianzhong, 2019. "Novel voltage-to-power sensitivity estimation for phasor measurement unit-unobservable distribution networks based on network equivalent," Applied Energy, Elsevier, vol. 250(C), pages 302-312.
    5. Adefarati, T. & Bansal, R.C. & Naidoo, R. & Onaolapo, K.A. & Bettayeb, M. & Olulope, P.K. & Sobowale, A.A., 2024. "Design and techno-economic assessment of a standalone photovoltaic-diesel-battery hybrid energy system for electrification of rural areas: A step towards sustainable development," Renewable Energy, Elsevier, vol. 227(C).
    6. Vincent Umoh & Innocent Davidson & Abayomi Adebiyi & Unwana Ekpe, 2023. "Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review," Energies, MDPI, vol. 16(8), pages 1-25, April.
    7. Hereher, Mohamed & El Kenawy, Ahmed M., 2020. "Exploring the potential of solar, tidal, and wind energy resources in Oman using an integrated climatic-socioeconomic approach," Renewable Energy, Elsevier, vol. 161(C), pages 662-675.
    8. Natalia Ivaneth Luna Alvarino & Vladimir Sousa Santos & Jairo Ricardo González, 2024. "Design of Photovoltaic Systems in Industrial Electrical Systems Considering Power Quality," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 142-153, May.
    9. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2017. "Comprehensive overview of grid interfaced solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 316-332.
    10. Zhang, Yusheng & Zhao, Xuehua & Wang, Xin & Li, Aiyun & Wu, Xinhao, 2023. "Multi-objective optimization design of a grid-connected hybrid hydro-photovoltaic system considering power transmission capacity," Energy, Elsevier, vol. 284(C).
    11. Niveditha, N. & Rajan Singaravel, M.M., 2022. "Optimal sizing of hybrid PV–Wind–Battery storage system for Net Zero Energy Buildings to reduce grid burden," Applied Energy, Elsevier, vol. 324(C).
    12. Radoslaw Miskiewicz, 2022. "Clean and Affordable Energy within Sustainable Development Goals: The Role of Governance Digitalization," Energies, MDPI, vol. 15(24), pages 1-17, December.
    13. Marian Liberos & Raúl González-Medina & Gabriel Garcerá & Emilio Figueres, 2019. "A Method to Enhance the Global Efficiency of High-Power Photovoltaic Inverters Connected in Parallel," Energies, MDPI, vol. 12(11), pages 1-19, June.
    14. Wang, Jianda & Dong, Kangyin & Sha, Yezhou & Yan, Cheng, 2022. "Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    15. Huang, He & Hong, Jingke & Wang, Xianzhu & Chang-Richards, Alice & Zhang, Jingxiao & Qiao, Bei, 2022. "A spatiotemporal analysis of the driving forces behind the energy interactions of the Chinese economy: Evidence from static and dynamic perspectives," Energy, Elsevier, vol. 239(PB).
    16. Yohannes Biru Aemro & Pedro Moura & Aníbal T. de Almeida, 2020. "Design and Modeling of a Standalone DC-Microgrid for Off-Grid Schools in Rural Areas of Developing Countries," Energies, MDPI, vol. 13(23), pages 1-24, December.
    17. Aslani, Mehrdad & Faraji, Jamal & Hashemi-Dezaki, Hamed & Ketabi, Abbas, 2022. "A novel clustering-based method for reliability assessment of cyber-physical microgrids considering cyber interdependencies and information transmission errors," Applied Energy, Elsevier, vol. 315(C).
    18. Zeng, Bo & Luo, Yangfan, 2022. "Potential of harnessing operational flexibility from public transport hubs to improve reliability and economic performance of urban multi-energy systems: A holistic assessment framework," Applied Energy, Elsevier, vol. 322(C).
    19. Ayop, Razman & Isa, Normazlina Mat & Tan, Chee Wei, 2018. "Components sizing of photovoltaic stand-alone system based on loss of power supply probability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2731-2743.
    20. García-García, Jersson & Sarmiento-Ariza, Yennifer & Campos-Rodríguez, Lizeth & Rey-López, Juan & Osma-Pinto, German, 2023. "Evaluation of tax incentives on the financial viability of microgrids," Applied Energy, Elsevier, vol. 329(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:219:y:2023:i:p1:s0960148123013629. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.