IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v356y2024ics0306261923017749.html
   My bibliography  Save this article

Optimization model for harmonic mitigation based on PV-ESS collaboration in small distribution systems

Author

Listed:
  • Wang, Ying
  • Wang, Xinru
  • Li, Shunyi
  • Ma, Xiaoyang
  • Chen, Yunzhu
  • Liu, Shuming

Abstract

Connecting a large number of distributed photovoltaics (PVs) and energy storage systems (ESSs) to a distribution network enables the mitigation of harmonic issues through grid-connected inverters with active topology. In this paper, we propose an optimization model for harmonic mitigation based on PV-ESS collaboration. The objective function is to minimize the total cost of harmonic mitigation, to ensure that the harmonic emission levels of all nodes in the network do not exceed the limit required by the IEEE standard. The constraint conditions include the fundamental frequency and harmonic power flow, voltage, mitigation performance, power for PV and ESS inverters, and cost constraints. The model is solved to obtain the amount of harmonic compensation currents and the unit price of the harmonic mitigation service of different inverters at different times. Finally, the validity of the proposed model is verified by the modified IEEE 13 node test feeder.

Suggested Citation

  • Wang, Ying & Wang, Xinru & Li, Shunyi & Ma, Xiaoyang & Chen, Yunzhu & Liu, Shuming, 2024. "Optimization model for harmonic mitigation based on PV-ESS collaboration in small distribution systems," Applied Energy, Elsevier, vol. 356(C).
    • Handle: RePEc:eee:appene:v:356:y:2024:i:c:s0306261923017749
    DOI: 10.1016/j.apenergy.2023.122410
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923017749
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2023.122410?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. da Silva, Roberto Perillo Barbosa & Quadros, Rodolfo & Shaker, Hamid Reza & da Silva, Luiz Carlos Pereira, 2020. "Effects of mixed electronic loads on the electrical energy systems considering different loading conditions with focus on power quality and billing issues," Applied Energy, Elsevier, vol. 277(C).
    2. Beuse, Martin & Dirksmeier, Mathias & Steffen, Bjarne & Schmidt, Tobias S., 2020. "Profitability of commercial and industrial photovoltaics and battery projects in South-East-Asia," Applied Energy, Elsevier, vol. 271(C).
    3. Sánchez de la Nieta, Agustín A. & Paterakis, Nikolaos G. & Gibescu, Madeleine, 2020. "Participation of photovoltaic power producers in short-term electricity markets based on rescheduling and risk-hedging mapping," Applied Energy, Elsevier, vol. 266(C).
    Full references (including those not matched with items on IDEAS)

    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. Benedikt Finnah, 2022. "Optimal bidding functions for renewable energies in sequential electricity markets," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 1-27, March.
    2. Nieta, Agustín A. Sánchez de la & Ilieva, Iliana & Gibescu, Madeleine & Bremdal, Bernt & Simonsen, Stig & Gramme, Eivind, 2021. "Optimal midterm peak shaving cost in an electricity management system using behind customers’ smart meter configuration," Applied Energy, Elsevier, vol. 283(C).
    3. Xie, Xiangmin & Chen, Daolian, 2022. "Data-driven dynamic harmonic model for modern household appliances," Applied Energy, Elsevier, vol. 312(C).
    4. Anesu Maronga & Kumbuso Joshua Nyoni & Paul Gerard Tuohy & Agabu Shane, 2021. "Evaluation of PV and CSP Systems to Supply Power in the Zimbabwe Mining Sector," Energies, MDPI, vol. 14(13), pages 1-38, June.
    5. Hou Jiang & Ning Lu & Xuecheng Wang, 2023. "Assessing Carbon Reduction Potential of Rooftop PV in China through Remote Sensing Data-Driven Simulations," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    6. Hari Prasad Devarapalli & Venkata Samba Sesha Siva Sarma Dhanikonda & Sitarama Brahmam Gunturi, 2021. "Demand-Side Management for Improvement of the Power Quality in Smart Homes Using Non-Intrusive Identification of Appliance Usage Patterns with the True Power Factor," Energies, MDPI, vol. 14(16), pages 1-19, August.
    7. Mayurkumar Rajkumar Balwani & Karthik Thirumala & Vivek Mohan & Siqi Bu & Mini Shaji Thomas, 2021. "Development of a Smart Meter for Power Quality-Based Tariff Implementation in a Smart Grid," Energies, MDPI, vol. 14(19), pages 1-21, September.
    8. Yoo, Yeojin & Ha, Yoonhee, 2024. "Market attractiveness analysis of battery energy storage systems in Indonesia, Malaysia, the Philippines, Thailand, and Vietnam," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    9. du Plessis, A.A. & Strauss, J.M. & Rix, A.J., 2021. "Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour," Applied Energy, Elsevier, vol. 285(C).
    10. Ke Shi & Chuangyi Li & Choongwan Koo, 2021. "A Techno-Economic Feasibility Analysis of Mono-Si and Poly-Si Photovoltaic Systems in the Rooftop Area of Commercial Building under the Feed-In Tariff Scheme," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    11. Gandhi, Oktoviano & Zhang, Wenjie & Kumar, Dhivya Sampath & Rodríguez-Gallegos, Carlos D. & Yagli, Gokhan Mert & Yang, Dazhi & Reindl, Thomas & Srinivasan, Dipti, 2024. "The value of solar forecasts and the cost of their errors: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    12. Angel L. Cedeño & Reinier López Ahuar & José Rojas & Gonzalo Carvajal & César Silva & Juan C. Agüero, 2022. "Model Predictive Control for Photovoltaic Plants with Non-Ideal Energy Storage Using Mixed Integer Linear Programming," Energies, MDPI, vol. 15(17), pages 1-21, September.
    13. Jiang, Hou & Zhang, Xiaotong & Yao, Ling & Lu, Ning & Qin, Jun & Liu, Tang & Zhou, Chenghu, 2023. "High-resolution analysis of rooftop photovoltaic potential based on hourly generation simulations and load profiles," Applied Energy, Elsevier, vol. 348(C).
    14. Thomas Kuppelwieser & David Wozabal, 2023. "Intraday power trading: toward an arms race in weather forecasting?," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 57-83, March.
    15. Jiang, Hou & Lu, Ning & Yao, Ling & Qin, Jun & Liu, Tang, 2023. "Impact of climate changes on the stability of solar energy: Evidence from observations and reanalysis," Renewable Energy, Elsevier, vol. 208(C), pages 726-736.
    16. Raphael Souza de Oliveira & Meire Jane Lima de Oliveira & Erick Giovani Sperandio Nascimento & Renelson Sampaio & Aloísio Santos Nascimento Filho & Hugo Saba, 2023. "Renewable Energy Generation Technologies for Decarbonizing Urban Vertical Buildings: A Path towards Net Zero," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    17. He, Shuaijia & Gao, Hongjun & Chen, Zhe & Liu, Junyong, 2023. "Data-driven worst conditional value at risk energy management model of energy station," Energy, Elsevier, vol. 266(C).
    18. Budhavarapu, Jayaprakash & Thirumala, Karthik & Mohan, Vivek & Bu, Siqi & Sahoo, Manoranjan, 2022. "Tariff structure for regulation of reactive power and harmonics in prosumer-enabled low voltage distribution networks," Energy Economics, Elsevier, vol. 114(C).
    19. Rajesh Panda & Prashant Kumar Tiwari, 2022. "An economic risk based optimal bidding strategy for various market players considering optimal wind placements in day-ahead and real-time competitive power market," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 347-362, February.

    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:appene:v:356:y:2024:i:c:s0306261923017749. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.