IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v208y2017icp996-1006.html
   My bibliography  Save this article

A novel hierarchical contribution factor based model for distribution use-of-system charges

Author

Listed:
  • Sharma, A.
  • Bhakar, R.
  • Tiwari, H.P.
  • Li, R.
  • Li, F.

Abstract

Due to the limited visibility at low voltage (LV) networks, existing Distribution Use-of-System (DUoS) charging methodologies assume that all the network users use the network in proportion to their peak flows. This naive supposition fails to reflect the contribution of network users to network peak flows, which actually is the driver for network reinforcement. This can send an inadvertent signal to customers, leading to aggravated network pressure. This paper for the first time, brings the new dimension into the design of DUoS charging methodology by considering the true contribution of customer class’s load on network peak flows. It proposes a novel Hierarchical Contribution Factor based Model (HCM), recognizing the contributions of differing customer classes to the network reinforcement of upstream asset. Such contribution will be further propagated to network assets at higher voltage level, forming a Hierarchical CF model and reflecting the true individual class contribution to the whole-system reinforcement. Benefit of the proposed model on investment deferral is assessed by determining annuitized present value (PV) of future investments, and consequences are assessed on a 22-bus practical Indian reference network. The approach helps customers as a class to reduce their network usage charges by minimizing their energy usage contribution during distribution network peaks, eventually reducing distribution network investment and energy transfer costs.

Suggested Citation

  • Sharma, A. & Bhakar, R. & Tiwari, H.P. & Li, R. & Li, F., 2017. "A novel hierarchical contribution factor based model for distribution use-of-system charges," Applied Energy, Elsevier, vol. 208(C), pages 996-1006.
    • Handle: RePEc:eee:appene:v:208:y:2017:i:c:p:996-1006
    DOI: 10.1016/j.apenergy.2017.09.050
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917313326
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2017.09.050?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. Thellufsen, Jakob Zinck & Lund, Henrik, 2016. "Roles of local and national energy systems in the integration of renewable energy," Applied Energy, Elsevier, vol. 183(C), pages 419-429.
    2. Gaiser, Kyle & Stroeve, Pieter, 2014. "The impact of scheduling appliances and rate structure on bill savings for net-zero energy communities: Application to West Village," Applied Energy, Elsevier, vol. 113(C), pages 1586-1595.
    3. Shahmohammadi, M. Sadegh & Mohd. Yusuff, Rosnah & Keyhanian, Sina & Shakouri G., Hamed, 2015. "A decision support system for evaluating effects of Feed-in Tariff mechanism: Dynamic modeling of Malaysia’s electricity generation mix," Applied Energy, Elsevier, vol. 146(C), pages 217-229.
    4. Tan, Sieting & Yang, Jin & Yan, Jinyue & Lee, Chewtin & Hashim, Haslenda & Chen, Bin, 2017. "A holistic low carbon city indicator framework for sustainable development," Applied Energy, Elsevier, vol. 185(P2), pages 1919-1930.
    5. Wang, Mingshen & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Yu, Xiaodan & Qi, Yan, 2017. "Active power regulation for large-scale wind farms through an efficient power plant model of electric vehicles," Applied Energy, Elsevier, vol. 185(P2), pages 1673-1683.
    6. Qadrdan, Meysam & Chaudry, Modassar & Jenkins, Nick & Baruah, Pranab & Eyre, Nick, 2015. "Impact of transition to a low carbon power system on the GB gas network," Applied Energy, Elsevier, vol. 151(C), pages 1-12.
    7. Mu, Yunfei & Wu, Jianzhong & Jenkins, Nick & Jia, Hongjie & Wang, Chengshan, 2014. "A Spatial–Temporal model for grid impact analysis of plug-in electric vehicles," Applied Energy, Elsevier, vol. 114(C), pages 456-465.
    8. Herrando, María & Markides, Christos N. & Hellgardt, Klaus, 2014. "A UK-based assessment of hybrid PV and solar-thermal systems for domestic heating and power: System performance," Applied Energy, Elsevier, vol. 122(C), pages 288-309.
    9. Teng, Fei & Aunedi, Marko & Strbac, Goran, 2016. "Benefits of flexibility from smart electrified transportation and heating in the future UK electricity system," Applied Energy, Elsevier, vol. 167(C), pages 420-431.
    10. Serra, Pablo J., 1997. "Energy pricing under uncertain supply," Energy Economics, Elsevier, vol. 19(2), pages 209-223, May.
    11. Brusco, Giovanni & Burgio, Alessandro & Menniti, Daniele & Pinnarelli, Anna & Sorrentino, Nicola, 2016. "The economic viability of a feed-in tariff scheme that solely rewards self-consumption to promote the use of integrated photovoltaic battery systems," Applied Energy, Elsevier, vol. 183(C), pages 1075-1085.
    12. Drysdale, Brian & Wu, Jianzhong & Jenkins, Nick, 2015. "Flexible demand in the GB domestic electricity sector in 2030," Applied Energy, Elsevier, vol. 139(C), pages 281-290.
    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. Hoz, Jordi de la & Martín, Helena & Montalà, Montserrat & Matas, José & Guzman, Ramon, 2018. "Assessing the 2014 retroactive regulatory framework applied to the concentrating solar power systems in Spain," Applied Energy, Elsevier, vol. 212(C), pages 1377-1399.
    2. Qadrdan, Meysam & Cheng, Meng & Wu, Jianzhong & Jenkins, Nick, 2017. "Benefits of demand-side response in combined gas and electricity networks," Applied Energy, Elsevier, vol. 192(C), pages 360-369.
    3. Li, Pei-Hao & Pye, Steve, 2018. "Assessing the benefits of demand-side flexibility in residential and transport sectors from an integrated energy systems perspective," Applied Energy, Elsevier, vol. 228(C), pages 965-979.
    4. Wang, Xin & Li, Zhengwei & Meng, Haixing & Wu, Jiang, 2017. "Identification of key energy efficiency drivers through global city benchmarking: A data driven approach," Applied Energy, Elsevier, vol. 190(C), pages 18-28.
    5. Petrollese, Mario & Cau, Giorgio & Cocco, Daniele, 2018. "Use of weather forecast for increasing the self-consumption rate of home solar systems: An Italian case study," Applied Energy, Elsevier, vol. 212(C), pages 746-758.
    6. Jin, Xiaolong & Wu, Jianzhong & Mu, Yunfei & Wang, Mingshen & Xu, Xiandong & Jia, Hongjie, 2017. "Hierarchical microgrid energy management in an office building," Applied Energy, Elsevier, vol. 208(C), pages 480-494.
    7. Zhang, Wenjie & Gandhi, Oktoviano & Quan, Hao & Rodríguez-Gallegos, Carlos D. & Srinivasan, Dipti, 2018. "A multi-agent based integrated volt-var optimization engine for fast vehicle-to-grid reactive power dispatch and electric vehicle coordination," Applied Energy, Elsevier, vol. 229(C), pages 96-110.
    8. Schlör, Holger & Venghaus, Sandra & Hake, Jürgen-Friedrich, 2018. "The FEW-Nexus city index – Measuring urban resilience," Applied Energy, Elsevier, vol. 210(C), pages 382-392.
    9. Abdeshahian, Peyman & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2016. "Potential of biogas production from farm animal waste in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 714-723.
    10. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    11. Carlos Díaz & Alexander Galetovic & Raimundo Soto, "undated". "Anatomía de una Crísis Eléctrica," ILADES-UAH Working Papers inv122, Universidad Alberto Hurtado/School of Economics and Business.
    12. Wang, Yanqiu & Ji, Jie & Sun, Wei & Yuan, Weiqi & Cai, Jingyong & Guo, Chao & He, Wei, 2016. "Experiment and simulation study on the optimization of the PV direct-coupled solar water heating system," Energy, Elsevier, vol. 100(C), pages 154-166.
    13. Natascia Andrenacci & Roberto Ragona & Antonino Genovese, 2020. "Evaluation of the Instantaneous Power Demand of an Electric Charging Station in an Urban Scenario," Energies, MDPI, vol. 13(11), pages 1-19, May.
    14. Krisha Maharjan & Jian Zhang & Heejin Cho & Yang Chen, 2023. "Distributed Energy Systems: Multi-Objective Design Optimization Based on Life Cycle Environmental and Economic Impacts," Energies, MDPI, vol. 16(21), pages 1-21, October.
    15. Eising, Jan Willem & van Onna, Tom & Alkemade, Floortje, 2014. "Towards smart grids: Identifying the risks that arise from the integration of energy and transport supply chains," Applied Energy, Elsevier, vol. 123(C), pages 448-455.
    16. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
    17. Lin, Boqiang & Zhu, Junpeng, 2019. "Impact of energy saving and emission reduction policy on urban sustainable development: Empirical evidence from China," Applied Energy, Elsevier, vol. 239(C), pages 12-22.
    18. Farrokhifar, Meisam & Nie, Yinghui & Pozo, David, 2020. "Energy systems planning: A survey on models for integrated power and natural gas networks coordination," Applied Energy, Elsevier, vol. 262(C).
    19. Alkharusi, Tarik & Huang, Gan & Markides, Christos N., 2024. "Characterisation of soiling on glass surfaces and their impact on optical and solar photovoltaic performance," Renewable Energy, Elsevier, vol. 220(C).
    20. Xiang, Yue & Guo, Yongtao & Wu, Gang & Liu, Junyong & Sun, Wei & Lei, Yutian & Zeng, Pingliang, 2022. "Low-carbon economic planning of integrated electricity-gas energy systems," Energy, Elsevier, vol. 249(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:appene:v:208:y:2017:i:c:p:996-1006. 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.