A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Advanced Search
Volume 6 Issue 6
Nov.  2019

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 15.3, Top 1 (SCI Q1)
    CiteScore: 23.5, Top 2% (Q1)
    Google Scholar h5-index: 77， TOP 5
Turn off MathJax
Article Contents
Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2019  >  6(6): 1438-1451
Aurobindo Behera, Tapas Kumar Panigrahi, Prakash K. Ray and Arun Kumar Sahoo, "A Novel Cascaded PID Controller for Automatic Generation Control Analysis With Renewable Sources," IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1438-1451, Nov. 2019. doi: 10.1109/JAS.2019.1911666
Citation: Aurobindo Behera, Tapas Kumar Panigrahi, Prakash K. Ray and Arun Kumar Sahoo, "A Novel Cascaded PID Controller for Automatic Generation Control Analysis With Renewable Sources," IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1438-1451, Nov. 2019. doi: 10.1109/JAS.2019.1911666
shu

A Novel Cascaded PID Controller for Automatic Generation Control Analysis With Renewable Sources

doi: 10.1109/JAS.2019.1911666
More Information
    Abstract
  • Present day power scenarios demand a high quality uninterrupted power supply and needs environmental issues to be addressed. Both concerns can be dealt with by the introduction of the renewable sources to the existing power system. Thus, automatic generation control (AGC) with diverse renewable sources and a modified-cascaded controller are presented in the paper. Also, a new hybrid scheme of the improved teaching learning based optimization-differential evolution (hITLBO-DE) algorithm is applied for providing optimization of controller parameters. A study of the system with a technique such as TLBO applied to a proportional integral derivative (PID), integral double derivative (IDD) and PIDD is compared to hITLBO-DE tuned cascaded controller with dynamic load change.The suggested methodology has been extensively applied to a 2-area system with a diverse source power system with various operation time non-linearities such as dead-band of, generation rate constraint and reheat thermal units. The multi-area system with reheat thermal plants, hydel plants and a unit of a wind-diesel combination is tested with the cascaded controller scheme with a different controller setting for each area. The variation of the load is taken within 1% to 5% of the connected load and robustness analysis is shown by modifying essential factors simultaneously by ± 30%. Finally, the proposed scheme of controller and optimization technique is also tested with a 5-equal area thermal system with non-linearities. The simulation results demonstrate the superiority of the proposed controller and algorithm under a dynamically changing load.

     

    • FullText(HTML)
  • loading
    • References(25)
  • [1]
    O. I. Elgerd, Electric Energy Systems Theory: An Introduction. McGrawHill Book Company, New York, NY, 1982.
    [2]
    P. Kundur, N. J. Balu, and M. G. Lauby, Power System Stability and Control. McGraw-hill, New York, vol. 7, 1994.
    [3]
    O. I. Elgerd and C. E. Fosha, " Optimum megawatt-frequency control of multiarea electric energy systems,” IEEE Trans. Power Apparatus and Systems, no. 4, pp. 556–563, 1970.
    [4]
    L. C. Saikia, J. Nanda, and S. Mishra, " Performance comparison of several classical controllers in agc for multi-area interconnected thermal system,” Int. J. Electrical Power &Energy Systems, vol. 33, no. 3, pp. 394–401, 2011.
    [5]
    E. Ali and S. Abd-Elazim, " Bfoa based design of pid controller for two area load frequency control with nonlinearities,” Int. J. Electrical Power &Energy Systems, vol. 51, pp. 224–231, 2013.
    [6]
    R. K. Sahu, S. Panda, and S. Padhan, " A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems,” Int. J. Electrical Power &Energy Systems, vol. 64, pp. 9–23, 2015.
    [7]
    K. S. Parmar, S. Majhi, and D. Kothari, " Load frequency control of a realistic power system with multi-source power generation,” Int. J. Electrical Power &Energy Systems, vol. 42, no. 1, pp. 426–433, 2012.
    [8]
    B. K. Sahu, S. Pati, P. K. Mohanty, and S. Panda, " Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system,” Applied Soft Computing, vol. 27, pp. 240–249, 2015. doi: 10.1016/j.asoc.2014.11.027
    [9]
    R. K. Sahu, T. S. Gorripotu, and S. Panda, " Automatic generation control of multi-area power systems with diverse energy sources using teaching learning based optimization algorithm,” Int. J. Engineering Science and Technology, vol. 19, no. 1, pp. 113–134, 2016. doi: 10.1016/j.jestch.2015.07.011
    [10]
    P. Dash, L. C. Saikia, and N. Sinha, " Automatic generation control of multi area thermal system using bat algorithm optimized PD-PID cascade controller,” Int. J. Electrical Power &Energy Systems, vol. 68, pp. 364–372, 2015.
    [11]
    P. Dash, L. C. Saikia, and N. Sinha, " Flower pollination algorithm optimized PI-PD cascade controller in automatic generation control of a multi-area power system,” Int. J. Electrical Power &Energy Systems, vol. 82, pp. 19–28, 2016.
    [12]
    T. Panigrahi, P. Dash, and P. Hota, " A self-tuning optimised unscented kalman filter for voltage flicker and harmonic estimation,” Int. J. Power and Energy Conversion, vol. 2, pp. 250–278, 2010. doi: 10.1504/IJPEC.2010.037631
    [13]
    A. Barisal, T. Panigrahi, and S. Mishra, " A hybrid pso-levy flight algorithm based fuzzy PID controller for automatic generation control of multi area power systems: fuzzy based hybrid pso for automatic generation control,” Int. J. Power and Energy Conversion, vol. 6, pp. 42–63, 2017.
    [14]
    R. V. Rao and V. Patel, " An improved teaching-learning-based optimization algorithm for solving unconstrained optimization problems,” Scientia Iranica, vol. 20, no. 3, pp. 710–720, 2013.
    [15]
    B. Mohanty, S. Panda, and P. Hota, " Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system,” Int. J. Electrical Power & Energy Systems, vol. 54, 2014.
    [16]
    D. Chen, F. Zou, Z. Li, J. Wang, and S. Li, " An improved teaching- learning-based optimization algorithm for solving global optimization problem,” Information Sciences, vol. 297, pp. 171–190, 2015. doi: 10.1016/j.ins.2014.11.001
    [17]
    K. Jagatheesan, B. Anand, S. Samanta, N. Dey, A. S. Ashour, and V. E. Balas, " Design of a proportional-integral-derivative controller for an automatic generation control of multi-area power thermal systems using firefly algorithm,” IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 1–14, 2017. doi: 10.1109/JAS.2017.7510310
    [18]
    S. M. Shinners, Modern Control System Theory and Design. John Wiley & Sons, Hoboken, New Jersey, 1998.
    [19]
    R. K. Sahu, S. Panda, and U. K. Rout, " DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearity, ” Int. J. Electrical Power & Energy Systems, vol. 49, no. 1, pp. 19 – 33, 2013.
    [20]
    S. R. Khuntia and S. Panda, " Simulation study for automatic generation control of a multi-area power system by anfis approach,” Applied Soft Computing, vol. 12, no. 1, pp. 333–341, 2012. doi: 10.1016/j.asoc.2011.08.039
    [21]
    B. K. Huang, Computer Simulation Analysis of Biological and Agricultural Systems. CRC Press, Boca Raton, Florida, 1994.
    [22]
    S. P. Singh, T. Prakash, V. Singh, and M. G. Babu, " Analytic hierarchy process based automatic generation control of multi-area interconnected power system using Jaya algorithm,” Engineering Applications of Artificial Intelligence, vol. 60, pp. 35–44, 2017. doi: 10.1016/j.engappai.2017.01.008
    [23]
    R. Isermann, Digital Control Systems. Springer Science & Business Media, Heidelberg, Germany, 2013.
    [24]
    C. L. Smith, Advanced Process Control: Beyond Single Loop Control. John Wiley & Sons, Hoboken, New Jersey, 2011.
    [25]
    T. Panigrahi and A. Behera, " Operation of automatic voltage regulator (avr) under single fault and cascaded fault condition,” Int. J. Research and Scientific Innovation (IJRSI), vol. 3, pp. 32–37, 2016.
    • Related Articles
    • Supplements(0)

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(16)  / Tables(6)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1865) PDF downloads(93) Cited by()

    Highlights

    • A 2-area renewable source system and operation time non-linearities have been considered.
    • A modified-cascaded controller has been presented in the paper.
    • The scheme of controller improves the system stability and economics.
    • A novel hybrid scheme of hITLBO-DE algorithm has been developed.
    • The developed algorithm improves the response time of the system with large number of sources.

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return