IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v92y2016icp75-82.html
   My bibliography  Save this article

A two step optimization algorithm for wind turbine generator placement considering maximum allowable capacity

Author

Listed:
  • Safaei, A.
  • Vahidi, B.
  • Askarian-Abyaneh, H.
  • Azad-Farsani, E.
  • Ahadi, S.M.

Abstract

The wind turbine generation (WTG) sources are generally integrated into network in order to reduce power losses, avoid congestion, improve voltage profile and provide electricity during peak load. Appropriate sizing and sitting of WTGs play a notable role in minimization of the loss in distribution systems. In this paper, a new two-step PSO algorithm is proposed to facilitate placement of WTGs considering their maximum allowable capacity. Also, the location and maximum allowable capacity of WTGs are determined with the aim of minimizing power loss and sustaining the constraints such as bus voltage and loading of feeders in the desired range. In the proposed dual PSO algorithm, there are two steps in each iteration: the first step is implemented in determination of the WTGs optimal location as a control variable, and in the second step, the objective function value is determined among some scenarios which are generated based on the number and capacity of the WTGs, so that all constraints are satisfied. The proposed method feasibility is approved using sample 84-Bus and 32-Bus test systems.

Suggested Citation

  • Safaei, A. & Vahidi, B. & Askarian-Abyaneh, H. & Azad-Farsani, E. & Ahadi, S.M., 2016. "A two step optimization algorithm for wind turbine generator placement considering maximum allowable capacity," Renewable Energy, Elsevier, vol. 92(C), pages 75-82.
    • Handle: RePEc:eee:renene:v:92:y:2016:i:c:p:75-82
    DOI: 10.1016/j.renene.2016.01.093
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148116300933
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2016.01.093?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. Firouz, Y. & Farhadkhani, S. & Lobry, J. & Vallée, F. & Khakpour, A. & Durieux, O., 2014. "Numerical comparison of the effects of different types of distributed generation units on overcurrent protection systems in MV distribution grids," Renewable Energy, Elsevier, vol. 69(C), pages 271-283.
    2. Yang, Mian & Patiño-Echeverri, Dalia & Yang, Fuxia, 2012. "Wind power generation in China: Understanding the mismatch between capacity and generation," Renewable Energy, Elsevier, vol. 41(C), pages 145-151.
    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. Naderipour, Amirreza & Abdul-Malek, Zulkurnain & Nowdeh, Saber Arabi & Ramachandaramurthy, Vigna K. & Kalam, Akhtar & Guerrero, Josep M., 2020. "Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condi," Energy, Elsevier, vol. 196(C).
    2. Mohana Alanazi & Abdulaziz Alanazi & Ahmad Almadhor & Hafiz Tayyab Rauf, 2023. "An Improved Fick’s Law Algorithm Based on Dynamic Lens-Imaging Learning Strategy for Planning a Hybrid Wind/Battery Energy System in Distribution Network," Mathematics, MDPI, vol. 11(5), pages 1-30, March.
    3. Amirreza Naderipour & Zulkurnain Abdul-Malek & Saber Arabi Nowdeh & Foad H. Gandoman & Mohammad Jafar Hadidian Moghaddam, 2019. "A Multi-Objective Optimization Problem for Optimal Site Selection of Wind Turbines for Reduce Losses and Improve Voltage Profile of Distribution Grids," Energies, MDPI, vol. 12(13), pages 1-15, July.
    4. Feng, Li & Liu, Jiajun & Lu, Haitao & Liu, Bingzhi & Chen, Yuning & Wu, Shenyu, 2022. "Robust operation of distribution network based on photovoltaic/wind energy resources in condition of COVID-19 pandemic considering deterministic and probabilistic approaches," Energy, Elsevier, vol. 261(PB).

    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. Razavi, Seyed-Ehsan & Rahimi, Ehsan & Javadi, Mohammad Sadegh & Nezhad, Ali Esmaeel & Lotfi, Mohamed & Shafie-khah, Miadreza & Catalão, João P.S., 2019. "Impact of distributed generation on protection and voltage regulation of distribution systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 157-167.
    2. Ming, Zeng & Song, Xue & Mingjuan, Ma & Xiaoli, Zhu, 2013. "New energy bases and sustainable development in China: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 169-185.
    3. Cui, Yu & Khan, Sufyan Ullah & Li, Zhixue & Zhao, Minjuan, 2021. "Environmental effect, price subsidy and financial performance: Evidence from Chinese new energy enterprises," Energy Policy, Elsevier, vol. 149(C).
    4. Valentine, Scott Victor, 2014. "The socio-political economy of electricity generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 416-429.
    5. Hayashi, Daisuke & Huenteler, Joern & Lewis, Joanna I., 2018. "Gone with the wind: A learning curve analysis of China's wind power industry," Energy Policy, Elsevier, vol. 120(C), pages 38-51.
    6. Mo, Jian-Lei & Agnolucci, Paolo & Jiang, Mao-Rong & Fan, Ying, 2016. "The impact of Chinese carbon emission trading scheme (ETS) on low carbon energy (LCE) investment," Energy Policy, Elsevier, vol. 89(C), pages 271-283.
    7. Sun, Bing & Yu, Yixin & Qin, Chao, 2017. "Should China focus on the distributed development of wind and solar photovoltaic power generation? A comparative study," Applied Energy, Elsevier, vol. 185(P1), pages 421-439.
    8. Zeting LIU, 2013. "La politique d’innovation chinoise face au défi de la transition énergétique China's innovation policy and the challenge of energy transition: the case of photovoltaic and wind turbine industries," Working Papers 271, Laboratoire de Recherche sur l'Industrie et l'Innovation. ULCO / Research Unit on Industry and Innovation.
    9. Flora, Rui & Marques, António Cardoso & Fuinhas, José Alberto, 2014. "Wind power idle capacity in a panel of European countries," Energy, Elsevier, vol. 66(C), pages 823-830.
    10. Tang, Liangyu & Han, Yang & Zalhaf, Amr S. & Zhou, Siyu & Yang, Ping & Wang, Congling & Huang, Tao, 2024. "Resilience enhancement of active distribution networks under extreme disaster scenarios: A comprehensive overview of fault location strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    11. Fan, Xiao-chao & Wang, Wei-qing, 2016. "Spatial patterns and influencing factors of China׳s wind turbine manufacturing industry: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 482-496.
    12. Caralis, George & Diakoulaki, Danae & Yang, Peijin & Gao, Zhiqiu & Zervos, Arthouros & Rados, Kostas, 2014. "Profitability of wind energy investments in China using a Monte Carlo approach for the treatment of uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 224-236.
    13. Li, Mingquan & Shan, Rui & Virguez, Edgar & Patiño-Echeverri, Dalia & Gao, Shuo & Ma, Haichao, 2022. "Energy storage reduces costs and emissions even without large penetration of renewable energy: The case of China Southern Power Grid," Energy Policy, Elsevier, vol. 161(C).
    14. Sun, Yanwei & Li, Ying & Wang, Run & Ma, Renfeng, 2023. "Assessing the national synergy potential of onshore and offshore renewable energy from the perspective of resources dynamic and complementarity," Energy, Elsevier, vol. 279(C).
    15. Zifa Liu & Wenhua Zhang & Changhong Zhao & Jiahai Yuan, 2015. "The Economics of Wind Power in China and Policy Implications," Energies, MDPI, vol. 8(2), pages 1-18, February.
    16. Michael Davidson & Fredrich Kahrl & Valerie Karplus, 2016. "Towards a political economy framework for wind power: Does China break the mould?," WIDER Working Paper Series 032, World Institute for Development Economic Research (UNU-WIDER).
    17. Xu, Shengqing, 2021. "The paradox of the energy revolution in China: A socio-technical transition perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    18. Zhou, Yuanchun & Zhang, Bing & Zou, Ji & Bi, Jun & Wang, Ke, 2012. "Joint R&D in low-carbon technology development in China: A case study of the wind-turbine manufacturing industry," Energy Policy, Elsevier, vol. 46(C), pages 100-108.
    19. Behrang Vand & Aira Hast & Sanaz Bozorg & Zelin Li & Sanna Syri & Shuai Deng, 2019. "Consumers’ Attitudes to Support Green Energy: A Case Study in Shanghai," Energies, MDPI, vol. 12(12), pages 1-20, June.
    20. Ma, Ben & Song, Guojun & Zhang, Lei & Sonnenfeld, David A., 2014. "Explaining sectoral discrepancies between national and provincial statistics in China," China Economic Review, Elsevier, vol. 30(C), pages 353-369.

    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:92:y:2016:i:c:p:75-82. 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.