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A Robust Competitive Optimization Algorithm Based Energy Management Control Strategy in a Battery and Ultracapacitor Based Hybrid Energy Storage System

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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

Energy Storage Systems (ESSs) plays an important role in microgrid operation in terms of power quality enhancement, regulation of voltage and frequency, regularizing the intermittency of the Renewable Energy Sources (RESs) and maintaining a balance between generation and demand. Among all ESSs, Battery Energy Storage System (BESS) is found to be more promising. However, BESS alone cannot fulfil the desire of robustness, active response, life cycle and potential of the system due to its power delivering limitations. So, the integration of Hybrid Energy Storage Systems (HESSs) is an emerging solution to the above issues. Basically, battery and Ultracapacitor (UC) based energy storage systems (UCESS) have compatible performances which makes them appealing in forming a HESS. As a result, the energy supplying capability of battery and storage capacity of UC is improvised. This paper attempts to bring out the advantages of the HESS as well as proposes a novel and robust Competitive Optimization Algorithm (COA) tuned PID based control strategy for improved power efficiency and for enhancing the life span of the battery. Further, the system configuration considered for study with the proposed controller is developed in the Matlab/Simulink environment and is led to variation in load. The results are indicative of the fact that an efficient control strategy is developed using the HESS. In addition to this, the THD calculation is done through FFT analysis to justify the enhancement in system stability through the control technique proposed.

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Correspondence to Subhashree Choudhury .

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Appendix

Appendix

Values of parameters used in the system model

Parameters

Values

Battery

Battery type-Lithium ion, Battery nominal voltage V0 = 48 V, Battery capacity = 1000 Ah, Battery internal resistance R0 = 0.005 Ω

Ultracapacitor

Ultracapacitor nominal voltage V0 = 35 V, Ultracapacitor internal resistance = 0.015 Ω, Rs = 0.025 Ω, Rp = 0.0145 Ω, Ultracapacitor rated capacitance C = 50 F, Number of series capacitors = 4, Number of parallel capacitors = 1

Bidirectional Buck/Boost

L = 1 mH, C1 = C2 = 10 µF, Fs = 20 kHz, U1 = 48, U2 = 500

Load

Nominal frequency—50 Hz, Active power—3000 W, Reactive power—1600

Line inductance

Line inductance H/km—0.8737e−3 for R, Y and B (Normal operation)

Line inductance H/km—0.5027e−3 during fault for Y and B.

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

40

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

100

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Choudhury, S., Khandelwal, N., Satpathy, A. (2020). A Robust Competitive Optimization Algorithm Based Energy Management Control Strategy in a Battery and Ultracapacitor Based Hybrid Energy Storage System. 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_81

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  • DOI: https://doi.org/10.1007/978-981-15-5262-5_81

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  • Print ISBN: 978-981-15-5261-8

  • Online ISBN: 978-981-15-5262-5

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