Bhuvnesh Khokhar

@gniotgroup.edu.in

Assistant Professor, Electrical Engineering Department
Greater Noida Institute of Technology (GNIOT)



                 

https://researchid.co/bhuvnesh.khokhar87

RESEARCH INTERESTS

microgrids operation and control, renewable energy, optimization algorithms, robust control

11

Scopus Publications

Scopus Publications

  • Frequency regulation in a microgrid integrating redox flow battery by utilizing an optimal predictive control approach
    Bhuvnesh Khokhar and K. P. Singh Parmar
    Springer Science and Business Media LLC





  • A Novel Hybrid Fuzzy PD-TID Controller for Load Frequency Control of a Standalone Microgrid
    Bhuvnesh Khokhar, Surender Dahiya, and K. P. Singh Parmar
    Springer Science and Business Media LLC

  • Load Frequency Control of a Multi-Microgrid System Incorporating Electric Vehicles
    Bhuvnesh Khokhar, Surender Dahiya, and Krishna Pal Singh Parmar
    Informa UK Limited
    Abstract Owing to high cost of conventional energy storage systems, battery of electric vehicles (EVs) is now being considered as their partial replacement to facilitate the demand side response. EVs can act as controllable bidirectional sources to restrain the frequency deviations in power system via vehicle-to-grid control. Consequently, this article proposes a load frequency control (LFC) scheme of a multi-microgrid (MMG) system incorporating EVs. A tilt integral derivative (TID) controller is enforced as the LFC controller in the proposed MMG system. To optimize the gains of the TID controller, a recently developed atom search optimization algorithm is implemented as a novel initiative. Diverse loading patterns that include random, sinusoidal, and pulse load disturbance patterns are considered in the MMG to establish the competence of the proposed control scheme. Simulation results reveal that the proposed LFC scheme enhances the dynamic responses of the MMG system in terms of attenuated oscillations, improved transient specifications and minimized objective function in the frequency and tie-line power deviations, and thus, satisfies the LFC requirements. The results are compared with some standard algorithms. Lastly, sensitivity of the proposed controller is validated subject to ±30% variation in various MMG parameters.

  • A novel fractional order proportional integral derivative plus second-order derivative controller for load frequency control
    Bhuvnesh Khokhar, Surender Dahiya, and K. P. Singh Parmar
    Informa UK Limited
    ABSTRACT This paper proposes a novel fractional order proportional integral derivative plus second-order derivative (FOPID+DD) controller for the load frequency control (LFC) of a hybrid power system (hPS). The investigated hPS incorporates conventional and certain distributed generation sources. Parameters of the proposed controller are optimised using a newly developed and powerful water wave optimisation (WWO) algorithm. The effectiveness of the proposed control scheme is established by considering multiple disturbances and nonlinearities like generation rate constraint, governor dead band and time delay related with the hPS. The performance of the proposed controller is compared with other controllers that are well studied in the literature. Simulation results reveal that the frequency dynamics of the hPS are enhanced with the proposed controller in terms of reduced frequency deviations and improved transient specifications. The sensitivity of the proposed controller is validated subject to wide variations in the hPS parameters.

  • A Robust Cascade Controller for Load Frequency Control of a Standalone Microgrid Incorporating Electric Vehicles
    Bhuvnesh Khokhar, Surender Dahiya, and K. P. Singh Parmar
    Informa UK Limited
    Abstract Intermittency in the output power of renewable and green energy sources (RGES) and low inertia of a standalone microgrid (SMG) result in large frequency deviations. Use of energy storage systems (ESSs) alleviate the SMG frequency deviations in an adorable manner but their high cost and low power density calls for alternative sources to balance the mismatch between power supply and demand. In recent years, utilization of the battery of an electric vehicle (EV) to minimize the frequency deviations has gained a lot of attention. Consequently, this paper proposes a robust and newly developed bio-inspired Salp Swarm Optimization (SSO) algorithm based PI-PD cascade controller for load frequency control (LFC) of the SMG integrated with the EVs. To demonstrate the efficacy of the proposed controller, its performance has been compared with other well-known controllers and algorithms considering diverse SMG operating scenarios. Simulation results distinctly prove the superiority of the proposed controller over the other controllers. Also, robustness of the proposed controller has been tested subject to ±50% variation in certain SMG parameters. Results clearly justify the robustness of the proposed controller. Additionally, operational stability of the SMG has been appraised through Eigenvalue and Bode diagram analysis for all the scenarios.

  • Atom search optimization based study of frequency deviation response of a hybrid power system
    Bhuvnesh Khokhar, Surender Dahiya, and K. P. Singh Parmar
    IEEE
    This paper attempts a maiden application of a newly developed Atom Search Optimization (ASO) algorithm for the load frequency control (LFC) of a hybrid power system (HPS). The investigated HPS consists of conventional as well as distributed generation (DG) sources. An ASO algorithm based integer order proportional integral derivative (PID) controller is implemented as the LFC controller. A comparative analysis of frequency deviation response (FDR) of the HPS subject to multiple disturbances in load and wind power is presented. The simulation results demonstrate a superior performance of the proposed algorithm compared to the other algorithms. Additionally, operational stability of the HPS is established via Bode diagram and Eigen values.

  • Model order reduction based LFC analysis of an autonomous microgrid
    Bhuvnesh Khokhar, Surender Dahiya, and K. P. Singh Parmar
    IEEE
    This paper investigates the load frequency control (LFC) issue of an autonomous microgrid (MG). A conventional proportional-integral-derivative with filter (PIDF) controller is implemented to reduce the oscillations in the system frequency. Gains of the controller are optimized using a newly developed metaheuristic optimization algorithm known as sine cosine algorithm (SCA). A reduced order model (ROM) of the autonomous MG is derived and investigated. Time and frequency responses (TFR) of the ROM are compared with that of the normal order model (NOM) of the MG. Results demonstrate that the TFRs of the ROM approximately replicate that of the NOM of the MG. Frequency dynamics of the autonomous MG with the proposed SCA based controller are obtained subject to multiple disturbances and are compared with other algorithms of repute available in literature. Results clearly demonstrate the superiority of the proposed controller in terms of reduced frequency oscillations, peak over/undershoots (P O/P U) and settling time (Tset).

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