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Optimum control of power flow management in PV, wind, and battery-integrated hybrid microgrid systems by implementing in real-time digital simulator-based platform

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Abstract

Hybrid renewable power generation becomes essential in most of electric power networks. Battery storage is commonly used in renewable energy systems (RESs) with distributed generation, such as solar and wind energy systems, to reduce power fluctuations caused by the intermittent behavior of renewable energy sources. A battery has been connected with the dc grid through a dc–dc bi-directional converter. The control scheme of the dc–dc bi-directional converter (BDC) is having two controlled loops. One is voltage-controlled loop, and another is the current-controlled loop. In this work, two-degree-of-freedom fractional order proportional integral derivative + proportional integral controller (2-DOF FOPID + PI) is proposed and applied in the voltage-controlled loop to stabilize the dc bus voltage and power flow effectively for both islanded mode and grid-connected mode. A novel meta-heuristic algorithm, i.e., modified sine cosine algorithm (m-SCA), is used to tune the controller parameters of the proposed controller. To test the performance of the modified SCA algorithm, various well-known uni-modal and multi-modal benchmark functions are taken in this paper. To confer the viability of the proposed controller, its performance is compared with other literature-based conventional controllers. This paper presents time-domain analysis, stability, and robustness test to illustrate the effectiveness of the proposed controller. MATLAB/Simulink has been used for computational work to analyze the system's efficiency. Finally, the proposed technique is validated by using OPAL-RT platform (Opal-RT-OP4510 model) with the power management of RES (PV and wind) and battery energy storage. Experimental work proved the effectiveness of the proposed m-SCA optimized 2-DOF FOPID + PI controller.

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Funding

The idea of work is supported by DST project Scheme for Young Scientists and Technologists (SP/YO/2019/1349).

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Authors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, 769008, India

    Suchismita Patel, Arnab Ghosh & Pravat Kumar Ray

Authors
  1. Suchismita Patel
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  2. Arnab Ghosh
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  3. Pravat Kumar Ray
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Each author contributed significantly to the design and implementation of the proposed work. All authors read and approved the final manuscript.

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Correspondence to Suchismita Patel.

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Appendix

Appendix

See Tables (

Table 14 Simulation parameters for hybrid microgrid
Full size table

14,

Table 15 Parameters values of different types of converters
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15,

Table 16 HMG transfer function model parameters of MG1 and MG2
Full size table

16).

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Patel, S., Ghosh, A. & Ray, P.K. Optimum control of power flow management in PV, wind, and battery-integrated hybrid microgrid systems by implementing in real-time digital simulator-based platform. Soft Comput 27, 10863–10891 (2023). https://doi.org/10.1007/s00500-023-07838-1

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  • DOI: https://doi.org/10.1007/s00500-023-07838-1

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