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Novel Collecting Decision Optimization Algorithm for Enhanced Dynamic Performance of Hybrid Power Source-Based SOFC and Supercapacitor for Grid Integration

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Book cover Advances in Electrical Control and Signal Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 665))

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Abstract

This paper describes a hybrid grid-connected microgrid system comprising of a solid oxide fuel cell (SOFC) and a supercapacitor (SC). The SOFC possesses many advantages over other fuel cells in having high dynamic performance, high combined heat, long-term stability, fuel flexibility, low emissions and relatively low cost. Nevertheless, the most significant disadvantage of SOFC is that it alone fails to compensate the system because of its high operating temperature which makes the system response sluggish in nature. To eradicate this problem, a SC-based energy storage system (ESS) is coordinated with SOFC to enhance the transient response of the system. SC has advantages over other ESSs with its high capacitor capacity and faster charging and discharging capability. A hybrid system is considered to be more efficient as it emits zero amount of carbon pollutants, thereby making the system environment-friendly. The conventional PID controller fails to respond to nonlinearities in the system. So for dynamic operation of the PID controller, a novel collective decision optimization algorithm (CDOA) is proposed in this paper. The hybrid system is designed in MATLAB/Simulink architecture, and to verify the efficacy of the proposed controller, the system is led to a disturbance. A detailed comparative analysis of SOFC with PID, hybrid system with PID and hybrid system with CDOA-tuned PID has been done. In addition to this, harmonics study of each case has been carried out. The proposed hybrid system with the CDOA technique outperforms others in satisfying well the IEEE constraints.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, 751030, India

    Subhashree Choudhury, Bimal Sen, Nikhil Khandelwal & Anshuman Satpathy

Authors
  1. Subhashree Choudhury
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  2. Bimal Sen
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  3. Nikhil Khandelwal
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  4. Anshuman Satpathy
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Corresponding author

Correspondence to Subhashree Choudhury .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, India

    Gayadhar Pradhan

  2. Universiti Tunku Abdul Rahman (UTAR), Kajang, Malaysia

    Stella Morris

  3. Department of Electrical and Electronics Engineering, Sikshya ‘O’ Anusandhan University, Bhubaneswar, India

    Niranjan Nayak

Appendix

Appendix

Parameters

Values

SOFC

VO = 40, E = 45, R1 + R2 = 0.4 Ω, R3 = 0.06 and C = 0.25 F

SC

VO = 30 V, supercapacitor internal resistance = 0.015 Ω, supercapacitor-rated capacitance = 50 F, number of series capacitors—4 and number of parallel capacitors—1

Boost

L = 0.8 mH, C = 100 µF, Fs = 30 kHz, VO = 100 and Vin = 40 V

BBC

L = 1 mH, C1 = C2 = 14 µF, Fs = 25 kHz, VO = 50 and Vin = 30 V

Rectifier load

Nominal frequency—50 Hz, power—2500 W

Grid

V = 100, X/R = 7, f = 50 Hz

\({\text{SOC}}_{\text{initial}}\)

50

\({\text{SOC}}_{\text{final}}\)

100

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Choudhury, S., Sen, B., Khandelwal, N., Satpathy, A. (2020). Novel Collecting Decision Optimization Algorithm for Enhanced Dynamic Performance of Hybrid Power Source-Based SOFC and Supercapacitor for Grid Integration. In: Pradhan, G., Morris, S., Nayak, N. (eds) Advances in Electrical Control and Signal Systems. Lecture Notes in Electrical Engineering, vol 665. Springer, Singapore. https://doi.org/10.1007/978-981-15-5262-5_10

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  • DOI: https://doi.org/10.1007/978-981-15-5262-5_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5261-8

  • Online ISBN: 978-981-15-5262-5

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