Ayyarao S L V Tummala

A. S. L. V. Tummala, “A robust composite wide area control of a DFIG wind energy system for damping inter-area oscillations,” Protection and Control of Modern Power Systems , vol. 5, no. 1, p. 25, 2020, doi: 10.1186/s41601-020-00170-y.   Abstract: This paper presents a novel composite wide area control of a DFIG wind energy system which combines the Robust Exact Differentiator (RED) and Discontinuous Integral (DI) control to damp out inter-area oscillations. RED generates the real-time differentiation of a relative speed signal in a noisy environment while DI control, an extension to a twisting algorithm and PID control, develops a continuous control signal and hence reduces chattering. The proposed control is robust to disturbances and can enhance the overall stability of the system. The proposed composite sliding mode control is evaluated using a modified benchmark two-area power system model with wind energy integration. Simulation results under various operating scenario

Modified vector controlled DFIG wind energy system based on barrier function adaptive sliding mode control Journal name: Protection and control of modern power systems Link:  PDF

DOI: 10.1007/978-981-13-1921-1_14 In book: Smart Intelligent Computing and Applications Link:  full text

In book: Soft Computing in Data Analytics Chapter: Implementation of Grasshopper Optimization Algorithm for Controlling a BLDC Motor Drive Publisher: Springer Nature Link:  https://link.springer.com/chapter/10.1007/978-981-13-0514-6_37

Finite Time Disturbance Observer based Composite Sliding Mode Load Frequency Control for Hybrid Power Systems is accepted for publication in IJE

1.   Tummala, Ayyarao SLV, Hemanth KR Alluri, and P. V. Ramanarao. "Optimal Control of DFIG Wind Energy           System in Multi-machine Power System using Advanced Differential Evolution."  IETE Journal of    Research  (2018): 1-12.  Link 2.  Tummala, Ayyarao SLV, Kumar Pakki Bharani Chandra, and V. Ramana Rao Pulipaka. "Decentralised non-linear SDRE observer–controller scheme for large-scale power systems." IET Generation, Transmission & Distribution  12.8 (2017): 1774-1782.  link 3.  TUMMALA, Ayyarao SLV, Ravikiran Inapakurthi, and PV RAMANARAO. "Observer based sliding mode frequency control for multi-machine power systems with high renewable energy."  Journal of Modern Power Systems and Clean Energy 6.3 (2018): 473-481.  link 4.  TUMMALA,  Ayyarao  SLV, " Modified vector controlled DFIG wind energy system based on barrier function adaptive sliding mode control," Protection and Control of Modern Power Systems, 2019.  linl   5. Raju