IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v267y2015icp750-757.html
   My bibliography  Save this article

Parameter polyoptimization of PSS2A power system stabilizers operating in a multi-machine power system including the uncertainty of model parameters

Author

Listed:
  • Paszek, Stefan
  • Nocoń, Adrian

Abstract

In the paper there is presented the analysis of the results of parameter optimization of the PSS2A power system stabilizers when taking into account the uncertainty of the power system (PS) mathematical model parameters. For parameter optimization of power system stabilizers (PSSs) there was used, among others, multi-criteria optimization (polyoptimization, Pareto optimization). The optimization criteria were determined for a selected disturbance in the multi-machine PS, taking into account the transient waveforms associated with electromechanical swings (waveforms of the instantaneous power and angular speed of a generator) as well as the waveforms of the terminal voltage of synchronous generators. The use of multi-criteria optimization enables taking into account many, sometimes contradictory, requirements (criteria) in the parameter optimization of PSSs without the loss of ability to achieve the optimal solution. A genetic algorithm with floating point encoding, multi-criteria tournament selection, modified simple crossover and non-uniform mutation was used for the optimization. Moreover, there was analyzed the influence of the uncertainty of the PS mathematical model parameters on the results of the parameter optimization of PSSs with the use of the worked out factor based on Euclidean measure.

Suggested Citation

  • Paszek, Stefan & Nocoń, Adrian, 2015. "Parameter polyoptimization of PSS2A power system stabilizers operating in a multi-machine power system including the uncertainty of model parameters," Applied Mathematics and Computation, Elsevier, vol. 267(C), pages 750-757.
    • Handle: RePEc:eee:apmaco:v:267:y:2015:i:c:p:750-757
    DOI: 10.1016/j.amc.2014.12.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300314016671
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2014.12.013?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. Ali Nandar, Cuk Supriyadi, 2013. "Robust PI control of smart controllable load for frequency stabilization of microgrid power system," Renewable Energy, Elsevier, vol. 56(C), pages 16-23.
    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. Adrian Nocoń & Stefan Paszek, 2023. "A Comprehensive Review of Power System Stabilizers," Energies, MDPI, vol. 16(4), pages 1-32, February.
    2. Paweł Pijarski & Piotr Kacejko & Piotr Miller, 2023. "Advanced Optimisation and Forecasting Methods in Power Engineering—Introduction to the Special Issue," Energies, MDPI, vol. 16(6), pages 1-20, March.
    3. Gu, Yang & Sun, Zhenxing & Li, Li-Wei & Park, Ju H. & Shen, Mouquan, 2022. "Event-triggered security adaptive control of uncertain multi-area power systems with cyber attacks," Applied Mathematics and Computation, Elsevier, vol. 432(C).
    4. Michał Izdebski & Robert Małkowski & Piotr Miller, 2022. "New Performance Indices for Power System Stabilizers," Energies, MDPI, vol. 15(24), pages 1-23, 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. 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.
    2. Chettibi, N. & Mellit, A., 2018. "Intelligent control strategy for a grid connected PV/SOFC/BESS energy generation system," Energy, Elsevier, vol. 147(C), pages 239-262.
    3. Touqeer Ahmed Jumani & Mohd Wazir Mustafa & Nawaf N. Hamadneh & Samer H. Atawneh & Madihah Md. Rasid & Nayyar Hussain Mirjat & Muhammad Akram Bhayo & Ilyas Khan, 2020. "Computational Intelligence-Based Optimization Methods for Power Quality and Dynamic Response Enhancement of ac Microgrids," Energies, MDPI, vol. 13(16), pages 1-22, August.
    4. Milad Shojaee & Fatemeh Mohammadi Shakiba & S. Mohsen Azizi, 2022. "Decentralized Model-Predictive Control of a Coupled Wind Turbine and Diesel Engine Generator System," Energies, MDPI, vol. 15(9), pages 1-13, May.
    5. Mohammed Elsayed Lotfy & Tomonobu Senjyu & Mohammed Abdel-Fattah Farahat & Amal Farouq Abdel-Gawad & Hidehito Matayoshi, 2017. "A Polar Fuzzy Control Scheme for Hybrid Power System Using Vehicle-To-Grid Technique," Energies, MDPI, vol. 10(8), pages 1-25, July.
    6. Obara, Shin’ya, 2015. "Dynamic-characteristics analysis of an independent microgrid consisting of a SOFC triple combined cycle power generation system and large-scale photovoltaics," Applied Energy, Elsevier, vol. 141(C), pages 19-31.
    7. Maen Z. Kreishan & Ahmed F. Zobaa, 2021. "Optimal Allocation and Operation of Droop-Controlled Islanded Microgrids: A Review," Energies, MDPI, vol. 14(15), pages 1-45, July.
    8. Alhassan H. Alattar & S. I. Selem & Hamid M. B. Metwally & Ahmed Ibrahim & Raef Aboelsaud & Mohamed A. Tolba & Ali M. El-Rifaie, 2019. "Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm," Energies, MDPI, vol. 12(16), pages 1-23, August.
    9. Sudhanshu Ranjan & D. C. Das & A. Latif & N. Sinha, 2021. "Electric vehicles to renewable-three unequal areas-hybrid microgrid to contain system frequency using mine blast algorithm based control strategy," 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. 12(5), pages 961-975, October.
    10. Hassan Haes Alhelou & Mohamad-Esmail Hamedani-Golshan & Reza Zamani & Ehsan Heydarian-Forushani & Pierluigi Siano, 2018. "Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review," Energies, MDPI, vol. 11(10), pages 1-35, September.
    11. Pruski, Piotr & Paszek, Stefan, 2018. "Calculations of power system electromechanical eigenvalues based on analysis of instantaneous power waveforms at different disturbances," Applied Mathematics and Computation, Elsevier, vol. 319(C), pages 104-114.
    12. 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.

    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:apmaco:v:267:y:2015:i:c:p:750-757. 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: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.