Enhanced Control Approach for <scp>PV</scp> Hybrid Energy Storage System With Supercapacitors Using Fuzzy <scp>MPPT</scp> Technique and Optimally Tuned Fractional Controllers

ABSTRACT Hybrid energy storage systems (HESS) comprising supercapacitors and batteries in photovoltaic (PV) applications ensure overall system performance by compensating for their mutual drawbacks. However, the reliability of the PV‐based HESS against frequent load variation and irregular solar irradiance demands a robust power management scheme (PMS) and associated control strategies. This paper presents an enhanced DC voltage stabilization control strategy for robust PMS for the PV‐based HESS. The proposed control approach ensures stable DC link voltage regulation, improving the overall efficiency and thus reliability of the overall system. A comprehensive analysis of the system dynamics and control objectives is conducted under different operating conditions, leading to the development of a combined tilt‐integral (TI) and fractional proportional‐integral (FOPI)‐based controller. The controller parameters are estimated using the particle swarm optimization (PSO) technique and a gradient‐free Nelder–Mead simplex search (NMSS) algorithm for optimizing the time‐domain parameters. Thereafter, the dynamic performance of the presented PMS is investigated through extensive experimentation analyzed in terms of various parameters. The investigation suggests that the proposed control scheme outperforms the conventional control approach by a significant margin of 60.81% and 40.42% in steady‐state error and peak overshoot, respectively. Also, the state of charge (SOC) consumption of the battery is reduced by 8.46%, thus increasing the overall lifespan of the energy storage system. Therefore, the proposed control strategy offers a viable solution for ensuring stable and efficient operation of PV‐based energy storage systems, contributing to the advancement of renewable energy integration and grid resilience.

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Publication Details

Journal
Energy Storage
Published
2025-02-23
DOI
https://doi.org/10.1002/est2.70147
Citations
4
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
4.86
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article

Enhanced Control Approach for PV Hybrid Energy Storage System With Supercapacitors Using Fuzzy MPPT Technique and Optimally Tuned Fractional Controllers

Shivam Prakash Gautam, Saswati Pattnaik, Sunil Kumar Mishra, Mano Ranjan Kumar
4 citations
Energy Storage
Microgrid Control and Optimization
4.86
article

Enhanced Control Approach for PV Hybrid Energy Storage System With Supercapacitors Using Fuzzy MPPT Technique and Optimally Tuned Fractional Controllers

Shivam Prakash Gautam, Saswati Pattnaik, Sunil Kumar Mishra, Mano Ranjan Kumar
article en
4 citations

Abstract

ABSTRACT Hybrid energy storage systems (HESS) comprising supercapacitors and batteries in photovoltaic (PV) applications ensure overall system performance by compensating for their mutual drawbacks. However, the reliability of the PV‐based HESS against frequent load variation and irregular solar irradiance demands a robust power management scheme (PMS) and associated control strategies. This paper presents an enhanced DC voltage stabilization control strategy for robust PMS for the PV‐based HESS. The proposed control approach ensures stable DC link voltage regulation, improving the overall efficiency and thus reliability of the overall system. A comprehensive analysis of the system dynamics and control objectives is conducted under different operating conditions, leading to the development of a combined tilt‐integral (TI) and fractional proportional‐integral (FOPI)‐based controller. The controller parameters are estimated using the particle swarm optimization (PSO) technique and a gradient‐free Nelder–Mead simplex search (NMSS) algorithm for optimizing the time‐domain parameters. Thereafter, the dynamic performance of the presented PMS is investigated through extensive experimentation analyzed in terms of various parameters. The investigation suggests that the proposed control scheme outperforms the conventional control approach by a significant margin of 60.81% and 40.42% in steady‐state error and peak overshoot, respectively. Also, the state of charge (SOC) consumption of the battery is reduced by 8.46%, thus increasing the overall lifespan of the energy storage system. Therefore, the proposed control strategy offers a viable solution for ensuring stable and efficient operation of PV‐based energy storage systems, contributing to the advancement of renewable energy integration and grid resilience.

Energy StorageVol. 7(2)
KIIT University (IN)
Openalex Percentile: Top 6%
Microgrid Control and Optimization
4.86
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