IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i3p121-d64277.html
   My bibliography  Save this article

On Variable Reverse Power Flow-Part I: Active-Reactive Optimal Power Flow with Reactive Power of Wind Stations

Author

Listed:
  • Aouss Gabash

    (Department of Simulation and Optimal Processes, Institute of Automation and Systems Engineering, Ilmenau University of Technology, Ilmenau 98693, Germany)

  • Pu Li

    (Department of Simulation and Optimal Processes, Institute of Automation and Systems Engineering, Ilmenau University of Technology, Ilmenau 98693, Germany)

Abstract

It has recently been shown that using battery storage systems (BSSs) to provide reactive power provision in a medium-voltage (MV) active distribution network (ADN) with embedded wind stations (WSs) can lead to a huge amount of reverse power to an upstream transmission network (TN). However, unity power factors (PFs) of WSs were assumed in those studies to analyze the potential of BSSs. Therefore, in this paper (Part-I), we aim to further explore the pure reactive power potential of WSs ( i.e. , without BSSs) by investigating the issue of variable reverse power flow under different limits on PFs in an electricity market model. The main contributions of this work are summarized as follows: (1) Introducing the reactive power capability of WSs in the optimization model of the active-reactive optimal power flow (A-R-OPF) and highlighting the benefits/impacts under different limits on PFs. (2) Investigating the impacts of different agreements for variable reverse power flow on the operation of an ADN under different demand scenarios. (3) Derivation of the function of reactive energy losses in the grid with an equivalent-π circuit and comparing its value with active energy losses. (4) Balancing the energy curtailment of wind generation, active-reactive energy losses in the grid and active-reactive energy import-export by a meter-based method. In Part-II, the potential of the developed model is studied through analyzing an electricity market model and a 41-bus network with different locations of WSs.

Suggested Citation

  • Aouss Gabash & Pu Li, 2016. "On Variable Reverse Power Flow-Part I: Active-Reactive Optimal Power Flow with Reactive Power of Wind Stations," Energies, MDPI, vol. 9(3), pages 1-12, February.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:3:p:121-:d:64277
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/3/121/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/9/3/121/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kargarian, A. & Raoofat, M., 2011. "Stochastic reactive power market with volatility of wind power considering voltage security," Energy, Elsevier, vol. 36(5), pages 2565-2571.
    2. Kargarian, A. & Raoofat, M. & Mohammadi, M., 2011. "Reactive power market management considering voltage control area reserve and system security," Applied Energy, Elsevier, vol. 88(11), pages 3832-3840.
    3. Mabee, Warren E. & Mannion, Justine & Carpenter, Tom, 2012. "Comparing the feed-in tariff incentives for renewable electricity in Ontario and Germany," Energy Policy, Elsevier, vol. 40(C), pages 480-489.
    4. 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.
    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. Alessandro Ciocia & Angela Amato & Paolo Di Leo & Stefania Fichera & Gabriele Malgaroli & Filippo Spertino & Slavka Tzanova, 2021. "Self-Consumption and Self-Sufficiency in Photovoltaic Systems: Effect of Grid Limitation and Storage Installation," Energies, MDPI, vol. 14(6), pages 1-24, March.
    2. Theo, Wai Lip & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2017. "Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 531-573.
    3. David Sebastian Stock & Francesco Sala & Alberto Berizzi & Lutz Hofmann, 2018. "Optimal Control of Wind Farms for Coordinated TSO-DSO Reactive Power Management," Energies, MDPI, vol. 11(1), pages 1-25, January.
    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. Aouss Gabash, 2023. "Energy Market Transition and Climate Change: A Review of TSOs-DSOs C+++ Framework from 1800 to Present," Energies, MDPI, vol. 16(17), pages 1-24, August.
    6. Dharmesh Dabhi & Kartik Pandya & Joao Soares & Fernando Lezama & Zita Vale, 2022. "Cross Entropy Covariance Matrix Adaptation Evolution Strategy for Solving the Bi-Level Bidding Optimization Problem in Local Energy Markets," Energies, MDPI, vol. 15(13), pages 1-20, July.
    7. Luís F. N. Lourenço & Renato M. Monaro & Maurício B. C. Salles & José R. Cardoso & Loïc Quéval, 2018. "Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation," Energies, MDPI, vol. 11(6), pages 1-19, June.
    8. Chang Ye & Shihong Miao & Yaowang Li & Chao Li & Lixing Li, 2018. "Hierarchical Scheduling Scheme for AC/DC Hybrid Active Distribution Network Based on Multi-Stakeholders," Energies, MDPI, vol. 11(10), pages 1-16, October.
    9. Aouss Gabash & Pu Li, 2016. "On Variable Reverse Power Flow-Part II: An Electricity Market Model Considering Wind Station Size and Location," Energies, MDPI, vol. 9(4), pages 1-13, March.
    10. Xinshuo Zhang & Guangwen Ma & Weibin Huang & Shijun Chen & Shuai Zhang, 2018. "Short-Term Optimal Operation of a Wind-PV-Hydro Complementary Installation: Yalong River, Sichuan Province, China," Energies, MDPI, vol. 11(4), pages 1-19, April.
    11. Erfan Mohagheghi & Aouss Gabash & Pu Li, 2017. "A Framework for Real-Time Optimal Power Flow under Wind Energy Penetration," Energies, MDPI, vol. 10(4), pages 1-28, April.
    12. Henning Thiesen & Clemens Jauch & Arne Gloe, 2016. "Design of a System Substituting Today’s Inherent Inertia in the European Continental Synchronous Area," Energies, MDPI, vol. 9(8), pages 1-12, July.
    13. Alfonso Risso & Alexandre Beluco & Rita De Cássia Marques Alves, 2018. "Complementarity Roses Evaluating Spatial Complementarity in Time between Energy Resources," Energies, MDPI, vol. 11(7), pages 1-14, July.
    14. Mahmood Hosseini Imani & Shaghayegh Zalzar & Amir Mosavi & Shahaboddin Shamshirband, 2018. "Strategic Behavior of Retailers for Risk Reduction and Profit Increment via Distributed Generators and Demand Response Programs," Energies, MDPI, vol. 11(6), pages 1-24, June.
    15. Chang-Gi Min & Mun-Kyeom Kim, 2017. "Impact of the Complementarity between Variable Generation Resources and Load on the Flexibility of the Korean Power System," Energies, MDPI, vol. 10(11), pages 1-13, October.
    16. Sudhanshu Ranjan & Smriti Jaiswal & Abdul Latif & Dulal Chandra Das & Nidul Sinha & S. M. Suhail Hussain & Taha Selim Ustun, 2021. "Isolated and Interconnected Multi-Area Hybrid Power Systems: A Review on Control Strategies," Energies, MDPI, vol. 14(24), pages 1-20, December.

    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. 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.
    2. de Oliveira, Lucas Guedes & Aquila, Giancarlo & Balestrassi, Pedro Paulo & de Paiva, Anderson Paulo & de Queiroz, Anderson Rodrigo & de Oliveira Pamplona, Edson & Camatta, Ulisses Pessin, 2020. "Evaluating economic feasibility and maximization of social welfare of photovoltaic projects developed for the Brazilian northeastern coast: An attribute agreement analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    3. Bougette, Patrice & Charlier, Christophe, 2015. "Renewable energy, subsidies, and the WTO: Where has the ‘green’ gone?," Energy Economics, Elsevier, vol. 51(C), pages 407-416.
    4. Li, Jinke & Liu, Guy & Shao, Jing, 2020. "Understanding the ROC transfer payment in the renewable obligation with the recycling mechanism in the United Kingdom," Energy Economics, Elsevier, vol. 87(C).
    5. Nicolini, Marcella & Tavoni, Massimo, 2017. "Are renewable energy subsidies effective? Evidence from Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 412-423.
    6. Hamed Moazami Goodarzi & Mohammad Hosein Kazemi, 2017. "A Novel Optimal Control Method for Islanded Microgrids Based on Droop Control Using the ICA-GA Algorithm," Energies, MDPI, vol. 10(4), pages 1-17, April.
    7. Ahmad Khan, Aftab & Naeem, Muhammad & Iqbal, Muhammad & Qaisar, Saad & Anpalagan, Alagan, 2016. "A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1664-1683.
    8. Ying-Yi Hong & Gerard Francesco DG. Apolinario, 2021. "Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications," Energies, MDPI, vol. 14(20), pages 1-47, October.
    9. Bielecki, Sławomir & Skoczkowski, Tadeusz, 2018. "An enhanced concept of Q-power management," Energy, Elsevier, vol. 162(C), pages 335-353.
    10. de la Hoz, Jordi & Martín, Helena & Ballart, Jordi & Córcoles, Felipe & Graells, Moisès, 2013. "Evaluating the new control structure for the promotion of grid connected photovoltaic systems in Spain: Performance analysis of the period 2008–2010," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 541-554.
    11. Liou, Hwa Meei, 2015. "Comparing feed-in tariff incentives in Taiwan and Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1021-1034.
    12. Lim, Xin-Le & Lam, Wei-Haur & Hashim, Roslan, 2015. "Feasibility of marine renewable energy to the Feed-in Tariff system in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 708-719.
    13. Drechsler, Martin & Meyerhoff, Jürgen & Ohl, Cornelia, 2012. "The effect of feed-in tariffs on the production cost and the landscape externalities of wind power generation in West Saxony, Germany," Energy Policy, Elsevier, vol. 48(C), pages 730-736.
    14. Cleary, Julian & Caspersen, John P., 2015. "Comparing the life cycle impacts of using harvest residue as feedstock for small- and large-scale bioenergy systems (part I)," Energy, Elsevier, vol. 88(C), pages 917-926.
    15. Ramli, Makbul A.M. & Twaha, Ssennoga, 2015. "Analysis of renewable energy feed-in tariffs in selected regions of the globe: Lessons for Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 649-661.
    16. Ji, Haoran & Wang, Chengshan & Li, Peng & Zhao, Jinli & Song, Guanyu & Ding, Fei & Wu, Jianzhong, 2018. "A centralized-based method to determine the local voltage control strategies of distributed generator operation in active distribution networks," Applied Energy, Elsevier, vol. 228(C), pages 2024-2036.
    17. Jay, Devika & Swarup, K.S., 2021. "A comprehensive survey on reactive power ancillary service markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    18. Xiuyun Wang & Shaoxin Chen & Yibing Zhou & Jian Wang & Yang Cui, 2018. "Optimal Dispatch of Microgrid with Combined Heat and Power System Considering Environmental Cost," Energies, MDPI, vol. 11(10), pages 1-23, September.
    19. Moore, Steven & Durant, Vincent & Mabee, Warren E., 2013. "Determining appropriate feed-in tariff rates to promote biomass-to-electricity generation in Eastern Ontario, Canada," Energy Policy, Elsevier, vol. 63(C), pages 607-613.
    20. Saraswat, Amit & Saini, Ashish & Saxena, Ajay Kumar, 2013. "A novel multi-zone reactive power market settlement model: A pareto-optimization approach," Energy, Elsevier, vol. 51(C), pages 85-100.

    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:gam:jeners:v:9:y:2016:i:3:p:121-:d:64277. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.