IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v36y2011i5p3477-3488.html
   My bibliography  Save this article

A probabilistic multi-objective daily Volt/Var control at distribution networks including renewable energy sources

Author

Listed:
  • Malekpour, Ahmad Reza
  • Niknam, Taher

Abstract

At the moment, due to technology improvements and governmental incentives for the use of green energies, Renewable Energy Sources (RESs) appears to be a promising approach for electricity generation. This motivates the implementation of Wind Farms (WFs) and Fuel Cell Power Plants (FCPPs) over a mass scale by Distribution Companies (DisCos). As RESs become a larger and larger portion of the generation mix, many aspects of the distribution systems operation and planning has changed. In the context of Volt/Var control problem, proliferation of RESs becomes a challenging issue for DisCos. Since wind power acts as a variable energy source, probabilistic load flow techniques are going to be necessary to analyze the utility system. This paper presents a multi-objective probabilistic method to solve the Volt/Var control problem in distribution system with high wind power penetration. A probabilistic load flow approach using Point Estimate Method (PEM) is employed to model the uncertainty in load demands and electrical power generation of WFs. To regard the operational and economic assessment of system containing WFs and FCPPs, different objective functions have been taken into account. Cost of electrical power generated by WFs, FCPPs, and DisCos, electrical energy losses, emissions produced by WFs, FCPPs and DisCos for the next day are selected as objective functions. A new powerful optimization technique based on a Modified shuffled Frog Leaping Algorithm (MSFLA) is proposed to achieve the optimal values for active and reactive power of WFs and FCPPs, reactive power of capacitors and transformers tap positions for the next day ahead. In order to tackle the optimization problem with non-commensurable objectives, the objectives are fuzzified and max–min operator is employed. The results are compared with other evolutionary methods on a 69-bus distribution feeder in terms of efficiency and accuracy.

Suggested Citation

  • Malekpour, Ahmad Reza & Niknam, Taher, 2011. "A probabilistic multi-objective daily Volt/Var control at distribution networks including renewable energy sources," Energy, Elsevier, vol. 36(5), pages 3477-3488.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:5:p:3477-3488
    DOI: 10.1016/j.energy.2011.03.052
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544211002209
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2011.03.052?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. Rehman, Shafiqur & Al-Hadhrami, Luai M., 2010. "Study of a solar PV–diesel–battery hybrid power system for a remotely located population near Rafha, Saudi Arabia," Energy, Elsevier, vol. 35(12), pages 4986-4995.
    2. Niknam, Taher & Firouzi, Bahman Bahmani & Ostadi, Amir, 2010. "A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators," Applied Energy, Elsevier, vol. 87(6), pages 1919-1928, June.
    3. Gunhui Chung & Kevin Lansey, 2009. "Application of the Shuffled Frog Leaping Algorithm for the Optimization of a General Large-Scale Water Supply System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 797-823, March.
    4. Carton, J.G. & Olabi, A.G., 2010. "Wind/hydrogen hybrid systems: Opportunity for Ireland’s wind resource to provide consistent sustainable energy supply," Energy, Elsevier, vol. 35(12), pages 4536-4544.
    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. Khorramdel, Benyamin & Raoofat, Mahdi, 2012. "Optimal stochastic reactive power scheduling in a microgrid considering voltage droop scheme of DGs and uncertainty of wind farms," Energy, Elsevier, vol. 45(1), pages 994-1006.
    2. Grimm, Veronika & Grübel, Julia & Rückel, Bastian & Sölch, Christian & Zöttl, Gregor, 2020. "Storage investment and network expansion in distribution networks: The impact of regulatory frameworks," Applied Energy, Elsevier, vol. 262(C).
    3. Niknam, Taher & Golestaneh, Faranak & Shafiei, Mehdi, 2013. "Probabilistic energy management of a renewable microgrid with hydrogen storage using self-adaptive charge search algorithm," Energy, Elsevier, vol. 49(C), pages 252-267.
    4. Mohagheghi, Erfan & Gabash, Aouss & Alramlawi, Mansour & Li, Pu, 2018. "Real-time optimal power flow with reactive power dispatch of wind stations using a reconciliation algorithm," Renewable Energy, Elsevier, vol. 126(C), pages 509-523.
    5. Ahmed M. Agwa & Attia A. El-Fergany, 2023. "Protective Relaying Coordination in Power Systems Comprising Renewable Sources: Challenges and Future Insights," Sustainability, MDPI, vol. 15(9), pages 1-25, April.
    6. Zare, Mohsen & Niknam, Taher, 2013. "A new multi-objective for environmental and economic management of Volt/Var Control considering renewable energy resources," Energy, Elsevier, vol. 55(C), pages 236-252.
    7. Lobão, J.A. & Devezas, T. & Catalão, J.P.S., 2014. "Influence of cable losses on the economic analysis of efficient and sustainable electrical equipment," Energy, Elsevier, vol. 65(C), pages 145-151.
    8. Anoune, Kamal & Bouya, Mohsine & Astito, Abdelali & Abdellah, Abdellatif Ben, 2018. "Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 652-673.
    9. Azizipanah-Abarghooee, Rasoul & Niknam, Taher & Roosta, Alireza & Malekpour, Ahmad Reza & Zare, Mohsen, 2012. "Probabilistic multiobjective wind-thermal economic emission dispatch based on point estimated method," Energy, Elsevier, vol. 37(1), pages 322-335.
    10. Kazemi, Mohammad Amin & Sedighizadeh, Mostafa & Mirzaei, Mohammad Javad & Homaee, Omid, 2016. "Optimal siting and sizing of distribution system operator owned EV parking lots," Applied Energy, Elsevier, vol. 179(C), pages 1176-1184.
    11. Zhou, Bin & Xu, Da & Chan, Ka Wing & Li, Canbing & Cao, Yijia & Bu, Siqi, 2017. "A two-stage framework for multiobjective energy management in distribution networks with a high penetration of wind energy," Energy, Elsevier, vol. 135(C), pages 754-766.
    12. Harsh, Pratik & Das, Debapriya, 2022. "Optimal coordination strategy of demand response and electric vehicle aggregators for the energy management of reconfigured grid-connected microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    13. Bordbari, Mohammad Javad & Seifi, Ali Reza & Rastegar, Mohammad, 2018. "Probabilistic energy consumption analysis in buildings using point estimate method," Energy, Elsevier, vol. 142(C), pages 716-722.
    14. Niknam, Taher & Golestaneh, Faranak & Malekpour, Ahmadreza, 2012. "Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational," Energy, Elsevier, vol. 43(1), pages 427-437.
    15. Mohamed, Mohamed A. & Eltamaly, Ali M. & Alolah, Abdulrahman I., 2017. "Swarm intelligence-based optimization of grid-dependent hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 515-524.
    16. Narimani, Mohammad Rasoul & Azizipanah-Abarghooee, Rasoul & Zoghdar-Moghadam-Shahrekohne, Behrouz & Gholami, Kayvan, 2013. "A novel approach to multi-objective optimal power flow by a new hybrid optimization algorithm considering generator constraints and multi-fuel type," Energy, Elsevier, vol. 49(C), pages 119-136.
    17. Huda, A.S.N. & Živanović, R., 2017. "Large-scale integration of distributed generation into distribution networks: Study objectives, review of models and computational tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 974-988.
    18. Al Busaidi, Ahmed Said & Kazem, Hussein A & Al-Badi, Abdullah H & Farooq Khan, Mohammad, 2016. "A review of optimum sizing of hybrid PV–Wind renewable energy systems in oman," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 185-193.

    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. Hiendro, Ayong & Kurnianto, Rudi & Rajagukguk, Managam & Simanjuntak, Yohannes M. & Junaidi,, 2013. "Techno-economic analysis of photovoltaic/wind hybrid system for onshore/remote area in Indonesia," Energy, Elsevier, vol. 59(C), pages 652-657.
    2. Malekpour, Ahmad Reza & Tabatabaei, Sajad & Niknam, Taher, 2012. "Probabilistic approach to multi-objective Volt/Var control of distribution system considering hybrid fuel cell and wind energy sources using Improved Shuffled Frog Leaping Algorithm," Renewable Energy, Elsevier, vol. 39(1), pages 228-240.
    3. Lacko, R. & Drobnič, B. & Mori, M. & Sekavčnik, M. & Vidmar, M., 2014. "Stand-alone renewable combined heat and power system with hydrogen technologies for household application," Energy, Elsevier, vol. 77(C), pages 164-170.
    4. Garcia, Humberto E. & Mohanty, Amit & Lin, Wen-Chiao & Cherry, Robert S., 2013. "Dynamic analysis of hybrid energy systems under flexible operation and variable renewable generation – Part I: Dynamic performance analysis," Energy, Elsevier, vol. 52(C), pages 1-16.
    5. Enevoldsen, Peter & Sovacool, Benjamin K., 2016. "Integrating power systems for remote island energy supply: Lessons from Mykines, Faroe Islands," Renewable Energy, Elsevier, vol. 85(C), pages 642-648.
    6. Sun, Qian & Zou, Meishuai & Guo, Xiaoyan & Yang, Rongjie & Huang, Haitao & Huang, Peng & He, Xiangdong, 2015. "A study of hydrogen generation by reaction of an activated Mg–CoCl2 (magnesium–cobalt chloride) composite with pure water for portable applications," Energy, Elsevier, vol. 79(C), pages 310-314.
    7. Chih-Ta Tsai & Teketay Mulu Beza & Wei-Bin Wu & Cheng-Chien Kuo, 2019. "Optimal Configuration with Capacity Analysis of a Hybrid Renewable Energy and Storage System for an Island Application," Energies, MDPI, vol. 13(1), pages 1-28, December.
    8. Tengku Juhana Tengku Hashim & Azah Mohamed, 2017. "Optimal coordinated voltage control in active distribution networks using backtracking search algorithm," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-20, October.
    9. Luo, Yu & Shi, Yixiang & Li, Wenying & Cai, Ningsheng, 2014. "Comprehensive modeling of tubular solid oxide electrolysis cell for co-electrolysis of steam and carbon dioxide," Energy, Elsevier, vol. 70(C), pages 420-434.
    10. Das, Himadry Shekhar & Yatim, A.H.M. & Tan, Chee Wei & Lau, Kwan Yiew, 2016. "Proposition of a PV/tidal powered micro-hydro and diesel hybrid system: A southern Bangladesh focus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1137-1148.
    11. Mohagheghi, Erfan & Gabash, Aouss & Alramlawi, Mansour & Li, Pu, 2018. "Real-time optimal power flow with reactive power dispatch of wind stations using a reconciliation algorithm," Renewable Energy, Elsevier, vol. 126(C), pages 509-523.
    12. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    13. Nyamdash, Batsaikhan & Denny, Eleanor, 2013. "The impact of electricity storage on wholesale electricity prices," Energy Policy, Elsevier, vol. 58(C), pages 6-16.
    14. Rabiee, Abdorreza & Khorramdel, Hossein & Aghaei, Jamshid, 2013. "A review of energy storage systems in microgrids with wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 316-326.
    15. Díaz, P. & Peña, R. & Muñoz, J. & Arias, C.A. & Sandoval, D., 2011. "Field analysis of solar PV-based collective systems for rural electrification," Energy, Elsevier, vol. 36(5), pages 2509-2516.
    16. Alsharif, Mohammed H. & Nordin, Rosdiadee & Ismail, Mahamod, 2016. "Green wireless network optimisation strategies within smart grid environments for Long Term Evolution (LTE) cellular networks in Malaysia," Renewable Energy, Elsevier, vol. 85(C), pages 157-170.
    17. Song, Xingjuan & Zhang, Dongming, 2014. "Bimetallic Ag–Ni/C particles as cathode catalyst in AFCs (alkaline fuel cells)," Energy, Elsevier, vol. 70(C), pages 223-230.
    18. Bahramara, S. & Moghaddam, M. Parsa & Haghifam, M.R., 2016. "Optimal planning of hybrid renewable energy systems using HOMER: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 609-620.
    19. Zhao, Yincheng & Zhang, Guozhou & Hu, Weihao & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2023. "Meta-learning based voltage control strategy for emergency faults of active distribution networks," Applied Energy, Elsevier, vol. 349(C).
    20. Mahmud, Nasif & Zahedi, A., 2016. "Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 582-595.

    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:energy:v:36:y:2011:i:5:p:3477-3488. 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/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.