Introducing LQR-Fuzzy Technique with Dynamic Demand Response Control Loop to Load Frequency Control Model

被引:13
|
作者
Devi, P. Srividya [1 ]
Santhi, R. Vijaya [1 ]
Pushpalatha, D. V. [2 ]
机构
[1] Andhra Univ, Visakapatanam, Andhra Pradesh, India
[2] GRIET, EEE, Hyderabad, Andhra Pradesh, India
来源
IFAC PAPERSONLINE | 2016年 / 49卷 / 01期
关键词
Load Frequency control; microgrid; Demand Response; Linear Quadratic Regulator(LQR); Fuzzy Logic Control; pade approximation;
D O I
10.1016/j.ifacol.2016.03.115
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The present paper indicates a novel approach of LQR-Fuzzy controller to stabilize the frequency in all (normal and emergency) conditions under micro grid environment. Load Frequency Control (LFC) model plays a vital role in electric power system design and operation. From the literature, it is proven that the implementation of DR (Demand Response) is a key to the future micro grid. In practice, LFC-DR model is tuned by conventional controllers like PI, PD, PID controllers, with their fixed gains. However, they are incapable of obtaining good dynamic performance over a wide range of operating conditions and load changes. This paper presents an idea of introducing a DR control loop in the traditional LFC model (called LFC-DR) using Intelligent Controller for a power system. DR communication delay latency in the controller design is considered and is linearized using Pade approximation. The addition of DR control loop guarantees stability of the overall closed-loop system and effectively improves the system dynamic performance Simulation results show that LQR- Fuzzy Logic Controller based LFC-DR single-area power system have better performance and superiority over a classical controller under any operating scenarios. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:567 / 572
页数:6
相关论文
共 50 条
  • [11] LQR Based Load Frequency Control with SMES in Deregulated Environment
    Singla, Himanshi
    Kumar, Ashwani
    2012 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2012, : 286 - 292
  • [12] Robust Load Frequency Control with Dynamic Demand Response for Deregulated Power Systems Considering Communication Delays
    Zhu, Qi
    Jiang, Lin
    Yao, Wei
    Zhang, Chuan-Ke
    Luo, Cheng
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2017, 45 (01) : 75 - 87
  • [13] Adaptive load frequency control with dynamic fuzzy networks in power systems
    Oysal, Y
    Yilmaz, AS
    Koklukaya, E
    COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS, 2005, 3512 : 1108 - 1115
  • [14] A Smart Direct Load Control Approach Using Dynamic Voltage Control for Demand Response Programs
    Elma, Onur
    Kuzlu, Murat
    Pipattanasomporn, Manisa
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2022, 50 (13) : 738 - 750
  • [15] Effect of Demand Response on Residential Energy Efficiency with Direct Load Control and Dynamic Price Control
    Basnet, Saurav M. S.
    Aburub, Haneen
    Jewell, Ward
    2015 IEEE EINDHOVEN POWERTECH, 2015,
  • [16] Stability Delay Margin Computation of Load Frequency Control System with Demand Response
    Katipoglu, Deniz
    Sonmez, Sahin
    Ayasun, Saffet
    2019 IEEE 1ST GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (GPECOM2019), 2019, : 473 - 478
  • [17] Impact of Intelligent Demand Response for Load Frequency Control in Smart Grid Perspective
    Bharti, Kamlesh
    Singh, Vijay P.
    Singh, S. P.
    IETE JOURNAL OF RESEARCH, 2022, 68 (04) : 2433 - 2444
  • [18] Fuzzy Mamdani-based Model Predictive Load Frequency Control
    Akbari, Mohammad Saeid
    Safavi, Ali Akbar
    Vafamand, Navid
    Dragicevic, Tomislav
    Rodriguez, Jose
    2020 IEEE 11TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG), 2020, : 7 - 12
  • [19] Load Frequency Control of an Isolated Micro Grid Using Fuzzy Adaptive Model Predictive Control
    Kayalvizhi, S.
    Kumar, D. M. Vinod
    IEEE ACCESS, 2017, 5 : 16241 - 16251
  • [20] Load Frequency Control: A Polar Fuzzy Approach
    Umrao, Rahul
    Chaturvedi, D. K.
    Malik, O. P.
    SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT I, 2011, 7076 : 494 - +