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A Novel DFIG Damping Control for Power System with High Wind Power Penetration

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  • Aiguo Tan

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    School of Information Engineering, Hubei University for Nationalities, Enshi 445000, China)

  • Xiangning Lin

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Jinwen Sun

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Ran Lyu

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Zhengtian Li

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Long Peng

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Muhammad Shoaib Khalid

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    School of Electrical Engineering, The University of Faisalabad, Faisalabad 38000, Pakistan)

Abstract

Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value.

Suggested Citation

  • Aiguo Tan & Xiangning Lin & Jinwen Sun & Ran Lyu & Zhengtian Li & Long Peng & Muhammad Shoaib Khalid, 2016. "A Novel DFIG Damping Control for Power System with High Wind Power Penetration," Energies, MDPI, vol. 9(7), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:521-:d:73409
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    References listed on IDEAS

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    1. Minhan Yoon & Yong-Tae Yoon & Gilsoo Jang, 2015. "A Study on Maximum Wind Power Penetration Limit in Island Power System Considering High-Voltage Direct Current Interconnections," Energies, MDPI, vol. 8(12), pages 1-16, December.
    2. Emilio Gómez-Lázaro & María C. Bueso & Mathieu Kessler & Sergio Martín-Martínez & Jie Zhang & Bri-Mathias Hodge & Angel Molina-García, 2016. "Probability Density Function Characterization for Aggregated Large-Scale Wind Power Based on Weibull Mixtures," Energies, MDPI, vol. 9(2), pages 1-15, February.
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    Cited by:

    1. Jian Zuo & Yinhong Li & Dongyuan Shi & Xianzhong Duan, 2017. "Simultaneous Robust Coordinated Damping Control of Power System Stabilizers (PSSs), Static Var Compensator (SVC) and Doubly-Fed Induction Generator Power Oscillation Dampers (DFIG PODs) in Multimachin," Energies, MDPI, vol. 10(4), pages 1-23, April.
    2. Jun Dong & Shengnan Li & Shuijun Wu & Tingyi He & Bo Yang & Hongchun Shu & Jilai Yu, 2017. "Nonlinear Observer-Based Robust Passive Control of Doubly-Fed Induction Generators for Power System Stability Enhancement via Energy Reshaping," Energies, MDPI, vol. 10(8), pages 1-16, July.
    3. Wuhui Chen & Zaixing Teng & Junhua Zhao & Jing Qiu, 2018. "Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power Systems," Energies, MDPI, vol. 11(6), pages 1-16, June.
    4. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Panapakidis, Ioannis P., 2017. "Impact of the penetration of renewables on flexibility needs," Energy Policy, Elsevier, vol. 109(C), pages 360-369.
    5. Ping He & Seyed Ali Arefifar & Congshan Li & Fushuan Wen & Yuqi Ji & Yukun Tao, 2019. "Enhancing Oscillation Damping in an Interconnected Power System with Integrated Wind Farms Using Unified Power Flow Controller," Energies, MDPI, vol. 12(2), pages 1-16, January.
    6. Perez, Alex & Garcia-Rendon, John J., 2021. "Integration of non-conventional renewable energy and spot price of electricity: A counterfactual analysis for Colombia," Renewable Energy, Elsevier, vol. 167(C), pages 146-161.
    7. Bingtuan Gao & Chaopeng Xia & Ning Chen & Khalid Mehmood Cheema & Libin Yang & Chunlai Li, 2017. "Virtual Synchronous Generator Based Auxiliary Damping Control Design for the Power System with Renewable Generation," Energies, MDPI, vol. 10(8), pages 1-21, August.
    8. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    9. Solomon Feleke & Raavi Satish & Balamurali Pydi & Degarege Anteneh & Almoataz Y. Abdelaziz & Adel El-Shahat, 2023. "Damping of Frequency and Power System Oscillations with DFIG Wind Turbine and DE Optimization," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
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