IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i3p597-d135352.html
   My bibliography  Save this article

An Input-to-State Stability-Based Load Restoration Approach for Isolated Power Systems

Author

Listed:
  • Boyu Qin

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Haixiang Gao

    (Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510600, China)

  • Jin Ma

    (The School of Electrical & Information Engineering, University of Sydney, Sydney, NSW 2006, Australia)

  • Wei Li

    (Centre for Distributed and High Performance Computing, School of Information Technologies, The University of Sydney, Sydney, NSW 2006, Australia)

  • Albert Y. Zomaya

    (Centre for Distributed and High Performance Computing, School of Information Technologies, The University of Sydney, Sydney, NSW 2006, Australia)

Abstract

An isolated power system (IPS) is usually operated under a bad environment and is influenced by external disturbances. Advanced load restoration technology is an important way to enhance the survivability and reliability of IPS. This paper proposes a fast load restoration approach based on Input-to-State Stability (ISS) theory for IPS. The method can recover load after an outage happens in an IPS under severe perturbations. In the proposed restoration approach, both stability and security constraints are considered based on the ISS theory, which can guarantee the stable and secure operation of IPS during the restoration dynamic process. These constraints have good adaptability for topology transformation and operation status transition of IPS. A heuristic approach to efficiently solve the load restoration problem is proposed, where bisection search is used to check the feasibility of the loads to be restored. Case studies on a typical IPS are used to verify the proposed method.

Suggested Citation

  • Boyu Qin & Haixiang Gao & Jin Ma & Wei Li & Albert Y. Zomaya, 2018. "An Input-to-State Stability-Based Load Restoration Approach for Isolated Power Systems," Energies, MDPI, vol. 11(3), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:597-:d:135352
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/3/597/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/3/597/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Romuald Masnicki, 2017. "Validation of the Measurement Characteristics in an Instrument for Power Quality Estimation—A Case Study," Energies, MDPI, vol. 10(4), pages 1-16, April.
    2. Manuela Sechilariu & Fabrice Locment & Baochao Wang, 2015. "Photovoltaic Electricity for Sustainable Building. Efficiency and Energy Cost Reduction for Isolated DC Microgrid," Energies, MDPI, vol. 8(8), pages 1-23, July.
    3. Félix Iglesias & Peter Palensky & Sergio Cantos & Friederich Kupzog, 2012. "Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification," Energies, MDPI, vol. 5(11), pages 1-16, November.
    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. Antonio T. Alexandridis, 2019. "Studying State Convergence of Input-to-State Stable Systems with Applications to Power System Analysis," Energies, MDPI, vol. 13(1), pages 1-24, 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. Mu-Gu Jeong & Seung-Il Moon & Pyeong-Ik Hwang, 2016. "Indirect Load Control for Energy Storage Systems Using Incentive Pricing under Time-of-Use Tariff," Energies, MDPI, vol. 9(7), pages 1-20, July.
    3. Yuri Bulatov & Andrey Kryukov & Konstantin Suslov, 2022. "Simulation of Power Router-Based DC Distribution Systems with Distributed Generation and Energy Storage Units," Energies, MDPI, vol. 16(1), pages 1-16, December.
    4. Upasana Lakhina & Irraivan Elamvazuthi & Nasreen Badruddin & Ajay Jangra & Bao-Huy Truong & Joseph M. Guerrero, 2023. "A Cost-Effective Multi-Verse Optimization Algorithm for Efficient Power Generation in a Microgrid," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    5. Hongwei Wu & Fabrice Locment & Manuela Sechilariu, 2019. "Experimental Implementation of a Flexible PV Power Control Mechanism in a DC Microgrid," Energies, MDPI, vol. 12(7), pages 1-12, March.
    6. Artur Felipe da Silva Veloso & José Valdemir Reis Júnior & Ricardo de Andrade Lira Rabelo & Jocines Dela-flora Silveira, 2021. "HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service," Future Internet, MDPI, vol. 13(11), pages 1-45, October.
    7. Abualkasim Bakeer & Andrii Chub & Dmitri Vinnikov & Argo Rosin, 2020. "Wide Input Voltage Range Operation of the Series Resonant DC-DC Converter with Bridgeless Boost Rectifier," Energies, MDPI, vol. 13(16), pages 1-18, August.
    8. Eduardo Viciana & Alfredo Alcayde & Francisco G. Montoya & Raul Baños & Francisco M. Arrabal-Campos & Antonio Zapata-Sierra & Francisco Manzano-Agugliaro, 2018. "OpenZmeter: An Efficient Low-Cost Energy Smart Meter and Power Quality Analyzer," Sustainability, MDPI, vol. 10(11), pages 1-13, November.
    9. Andrzej Łebkowski, 2018. "Reduction of Fuel Consumption and Pollution Emissions in Inland Water Transport by Application of Hybrid Powertrain," Energies, MDPI, vol. 11(8), pages 1-16, July.
    10. Agüera-Pérez, Agustín & Palomares-Salas, José Carlos & González de la Rosa, Juan José & Florencias-Oliveros, Olivia, 2018. "Weather forecasts for microgrid energy management: Review, discussion and recommendations," Applied Energy, Elsevier, vol. 228(C), pages 265-278.
    11. Mingxuan Chen & Suliang Ma & Haiyong Wan & Jianwen Wu & Yuan Jiang, 2018. "Distributed Control Strategy for DC Microgrids of Photovoltaic Energy Storage Systems in Off-Grid Operation," Energies, MDPI, vol. 11(10), pages 1-19, October.
    12. Miguel Carpintero-Rentería & David Santos-Martín & Josep M. Guerrero, 2019. "Microgrids Literature Review through a Layers Structure," Energies, MDPI, vol. 12(22), pages 1-22, November.
    13. Alla Ndiaye & Fabrice Locment & Alexandre De Bernardinis & Manuela Sechilariu & Eduardo Redondo-Iglesias, 2022. "A Techno-Economic Analysis of Energy Storage Components of Microgrids for Improving Energy Management Strategies," Energies, MDPI, vol. 15(4), pages 1-15, February.
    14. Chauhan, Anurag & Saini, R.P., 2016. "Techno-economic optimization based approach for energy management of a stand-alone integrated renewable energy system for remote areas of India," Energy, Elsevier, vol. 94(C), pages 138-156.
    15. Weiqiang Dong & Yanjun Li & Ji Xiang, 2016. "Optimal Sizing of a Stand-Alone Hybrid Power System Based on Battery/Hydrogen with an Improved Ant Colony Optimization," Energies, MDPI, vol. 9(10), pages 1-17, September.
    16. Xiaodong Lu & Jiangwen Wan, 2016. "Modeling and Control of the Distributed Power Converters in a Standalone DC Microgrid," Energies, MDPI, vol. 9(3), pages 1-19, March.
    17. Feras Alasali & Stephen Haben & Victor Becerra & William Holderbaum, 2017. "Optimal Energy Management and MPC Strategies for Electrified RTG Cranes with Energy Storage Systems," Energies, MDPI, vol. 10(10), pages 1-18, October.
    18. Tri Ardriani & Pekik Argo Dahono & Arwindra Rizqiawan & Erna Garnia & Pungky Dwi Sastya & Ahmad Husnan Arofat & Muhammad Ridwan, 2021. "A DC Microgrid System for Powering Remote Areas," Energies, MDPI, vol. 14(2), pages 1-15, January.
    19. Cristina Rottondi & Markus Duchon & Dagmar Koss & Andrei Palamarciuc & Alessandro Pití & Giacomo Verticale & Bernhard Schätz, 2015. "An Energy Management Service for the Smart Office," Energies, MDPI, vol. 8(10), pages 1-18, October.
    20. Seung-Woon Lee & Bo-Hyung Cho, 2016. "Master–Slave Based Hierarchical Control for a Small Power DC-Distributed Microgrid System with a Storage Device," Energies, MDPI, vol. 9(11), pages 1-14, October.

    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:11:y:2018:i:3:p:597-:d:135352. 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.