A Review on Power Quality İmprovement of Grid Connected PV with Lithium-Ion and Super Capacitor Based Hybrid Energy Storage System Using a New Control Strategy

Lenka, Sasmita; Sinha, Pampa; Jena, Chitralekha

doi:10.1007/978-981-16-4663-8_1

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The control strategy that incorporates these devices presents a hurdle, which is that it needs to be simple and applicable. The use of PI controllers, which is a simple and widely used control method, is prevalent in controlling power electronic devices [ 31 ]. One of its applications is in controlling the DC chopper for connecting FCs to the electrical grid, while another application is in controlling the STATCOM in wind systems [ 32 ].…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Functionality of a Grid-Connected Photovoltaic System in a Distant Egyptian Region Using an Optimized Dynamic Voltage Restorer: Application of Artificial Rabbits Optimization

Ibrahim

Alkuhayli

Béroual

et al. 2023

Sensors

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Photovoltaic (PV) systems are crucial to the production of electricity for a newly established community in Egypt, especially in grid-tied systems. Power quality (PQ) issues appear as a result of PV connection with the power grid (PG). PQ problems cause the PG to experience faults and harmonics, which affect consumers. A series compensator dynamic voltage restorer (DVR) is the most affordable option for resolving the abovementioned PQ problems. To address PQ difficulties, this paper describes a grid-tied PV combined with a DVR that uses a rotating dq reference frame (dqRF) controller. The main goal of this study is to apply and construct an effective PI controller for a DVR to mitigate PQ problems. The artificial rabbits optimization (ARO) is used to obtain the best tune of the PI controller. The obtained results are compared with five optimization techniques (L-SHADE, CMAES, WOA, PSO, and GWO) to show its impact and effectiveness. Additionally, Lyapunov’s function is used to analyze and evaluate the proposed controller stability. Also, a mathematical analysis of the investigated PV, boost converter, and rotating dqRF control is performed. Two fault test scenarios are examined to confirm the efficacy of the suggested control approach. The parameters’ (voltage, current, and power) waveforms for the suggested system are improved, and the system is kept running continuously under fault periods, which improves the performance of the system. Moreover, the findings demonstrate that the presented design successfully keeps the voltage at the required level with low THD% values at the load side according to the IEEE standards and displays a clear enhancement in voltage waveforms. The MATLAB/SIMULINK software is used to confirm the proposed system’s performance.

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Section: Introductionmentioning

confidence: 99%

Enhancing the Functionality of a Grid-Connected Photovoltaic System in a Distant Egyptian Region Using an Optimized Dynamic Voltage Restorer: Application of Artificial Rabbits Optimization

Ibrahim

Alkuhayli

Béroual

et al. 2023

Sensors

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“…One difficulty is that the utilization of intermittent renewable energy resources in power supply poses several challenges [2]. The hybrid energy storage system (HESS) is a schedulable resource with the corresponding energy management scheme and control strategy, improving the transient and steady-state performance to address relevant problems in microgrid systems [3,4].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Energy Optimization Method of Hybrid Battery-Supercapacitor Storage System for Uncertain Demand

Gan

et al. 2022

Energies

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To address the problem of DC bus voltage surge caused by load demand fluctuation in an off-grid microgrid, here, an adaptive energy optimization method based on a hybrid energy-storage system to maintain the stability of DC bus voltage is presented. The adaptive energy optimization method consists of three parts: the average filtering algorithm, extracting fluctuating power in demand load; the supercapacitor terminal voltage control, keeping the terminal voltage of the supercapacitor near reference; and the battery pack balance control, adjusting the charge/discharge to balance the state of charge for battery packs. In this proposed method, after extracting the fluctuating power by the low-pass filter when the demand load fluctuates, the battery packs release the power to offset the low-frequency fluctuation load and the supercapacitor to instantaneously compensate the high-frequency fluctuation power, to prolong the service life of batteries and maintain the stability of DC bus voltage. The effectiveness of the proposed adaptive energy optimization method is validated and is confirmed to maintain the stable operation of the off-grid microgrid, extend the cycle life of batteries in off-grid microgrid simulations and experiments.

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Optimal Power Management in a Grid-Connected PV System with an Efficient Controller: Firefly Algorithm

Kamaraju

Reddy

2023

Lecture Notes in Electrical Engineering

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A Review on Power Quality İmprovement of Grid Connected PV with Lithium-Ion and Super Capacitor Based Hybrid Energy Storage System Using a New Control Strategy

Cited by 3 publications

References 8 publications

Enhancing the Functionality of a Grid-Connected Photovoltaic System in a Distant Egyptian Region Using an Optimized Dynamic Voltage Restorer: Application of Artificial Rabbits Optimization

Enhancing the Functionality of a Grid-Connected Photovoltaic System in a Distant Egyptian Region Using an Optimized Dynamic Voltage Restorer: Application of Artificial Rabbits Optimization

An Adaptive Energy Optimization Method of Hybrid Battery-Supercapacitor Storage System for Uncertain Demand

Optimal Power Management in a Grid-Connected PV System with an Efficient Controller: Firefly Algorithm

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