Energy Storage System with Dynamic Voltage Restorer Integrated For Wind Energy System

Pattanaik, Balachandra; Hussain, Syed Masood; Karthikeyan, V.; Samuel, G. Giftson

doi:10.1088/1742-6596/1964/4/042098

Cited by 8 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study by Pattanaik et al (2021) focuses on the integration of a Permanent Magnet Induction Generator (PMIG)‐based wind system with a Dynamic Voltage Restorer (DVR) and an Energy Storage System (ESS) for backup power in a novel manner. The goal is to regulate fluctuations in wind power and counteract grid voltage disturbances.…”

Section: Innovative Approaches For Integrating Solar and Wind Energymentioning

confidence: 99%

“…The study demonstrates the potential of DVR‐based energy storage systems for wind energy conversion and emphasizes the vital role of energy storage in grid stability maintenance. It highlights the importance of the DVR system in compensating for under voltage while maintaining grid stability, thereby highlighting the significance of energy storage in renewable energy systems (Pattanaik et al, 2021).…”

Section: Innovative Approaches For Integrating Solar and Wind Energymentioning

confidence: 99%

See 1 more Smart Citation

Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage

Bin Abu Sofian,

Lim,

Siti Halimatul Munawaroh

et al. 2024

Sustainable Development

View full text Add to dashboard Cite

This article evaluates the present global condition of solar and wind energy adoption and explores their benefits and limitations in meeting energy needs. It examines the historical and evolutionary growth of solar and wind energy, global trends in the usage of renewable energy, and upcoming technologies, including floating solar and vertical‐axis wind turbines. The importance of smart grid technology and energy storage alternatives for enhancing the effectiveness and dependability of renewable energy is explored. In addition, the role of Electric Vehicles (EVs) in a modern smart grid has been assessed. Furthermore, the economic benefits, and most recent technological developments of solar and wind energy and their environmental and social ramifications. The potential of solar and wind energy to meet the increasing global energy demand and the problems and opportunities facing the renewable energy industry have shown excellent promise. Machine learning applications for solar and wind energy generation are vital for sustainable energy production. Machine learning can help in design, optimization, cost reduction, and, most importantly, in improving the efficacy of solar and wind energy, including advancing energy storage. This assessment is a crucial resource for policymakers, industry leaders, and researchers who aim to make the world cleaner and more sustainable. Ultimately, this review has shown the great potential of solar and wind energy in meeting global energy demands and sustainable goals.

show abstract

Section: Innovative Approaches For Integrating Solar and Wind Energymentioning

confidence: 99%

Section: Innovative Approaches For Integrating Solar and Wind Energymentioning

confidence: 99%

Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage

Bin Abu Sofian,

Lim,

Siti Halimatul Munawaroh

et al. 2024

Sustainable Development

View full text Add to dashboard Cite

show abstract

“…The dynamic voltage restorer (DVR) is connected in series with the load in order to compensate the voltage sags of small and large value [6]. The researchers present DVR topologies supported with batteries and capacitors for the supply of DC power to the inverter circuit of the DVR [7], but the drawbacks of these topologies is the high cost of maintenance and replacement [8]. In battery-supported DVRs, the multiple conversion of power supply is needed, which increases the complexity of the system [9].…”

Section: Introductionmentioning

confidence: 99%

“…In the past, various DVR topologies were presented, such as PID controller with voltage source inverter [13], PID controller with matrix converter [14], and PID controller with PV based voltage source inverter [15],but the control approach of a PID controller is not fit for DVR topologies under variation of power system parameters because the PID controller is a linear controller [14] and the selection of PID controller under fault conditions [14] for DVR topology is questionable. Earlier, a sliding mode controller with a voltage source inverter [7] was presented, but the drawback of such a topology is that it involves high maintenance and replacement cost for the DVR topology due to the utilization of an energy storage device for an inverter circuit [8] to convert DC into AC, and involving multiple conversions [5]. A sliding mode controller with AC chopper [16] was presented to control the dynamics of the DVR, but the drawback is that an AC chopper cannot control the output frequency as a matrix converter [17].…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Comparison of PID with Sliding Mode Controller for Matrix-Converter-Based Dynamic Voltage Restorer under Variation of System Parameters to Alleviate the Voltage Sag in Distribution System

Soomro

Larik²,

Mahar³

et al. 2022

Sustainability

View full text Add to dashboard Cite

A constant power supply is a basic need for each consumer due to the increase in sensitive equipment day by day. As per IEEE standards, a 10% reduction in voltage from the supply voltage is not acceptable and may cause the failure of equipment. Previously, different techniques have been used to alleviate the voltage sag, such as STATCOM, DSTATCOM, SVC, and shunt capacitors, but these devices are connected in parallel, which compensates for the low value of voltage sag, and they have high maintenance costs involved. Compensation for the low and high values of voltage sag is possible through a series-connected device such as a dynamic voltage restorer. In this paper, a matrix converter is presented for DVR to convert AC to AC voltage directly and free from batteries, capacitors, and multiple conversions as needed in a voltage source inverter, resulting in a reduced cost of DVR topology. The DVR is meaningless in the absence of a controller, so it is necessary to select a suitable controller for the satisfactory operation of the DVR under a variation of system parameters. In this paper, the performance of a linear PID controller is analyzed and compared with a nonlinear controller, such as a sliding-mode controller, under variation of power system parameters inorder to select a robust controller that performs satisfactorily for DVR. Earlier trial-and-error methods were used to obtain the parameters of PID gains, but they require a large time to obtain the parameters of the PID gains and there is a chance of inaccuracy. A genetic algorithm was used to obtain the gain parameters, but it has more convergence time and the particle swarm optimization technique has involves less reliability. In this research paper, the sliding surface coefficient parameters such as and Ki for the PI sliding surface of SMC and PID gains are taken through an ant colony algorithm to obtain the robustness of the controllers. The purpose of this paper is to introduce the best DVR topology with reduced cost. MATLAB simulation software was utilized to analyze the performance of the DVR with PID and SMC controllers under different fault conditions and also the THD% of proposed controllers was analyzed through FFT.

show abstract

PV System-Based Switched Capacitor DC–DC Converter for High Voltage Gain Using Fuzzy-PID Controller

Pattanaik¹,

Bakare²

2022

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Energy Storage System with Dynamic Voltage Restorer Integrated For Wind Energy System

Cited by 8 publications

References 7 publications

Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage

Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage

Simulation-Based Comparison of PID with Sliding Mode Controller for Matrix-Converter-Based Dynamic Voltage Restorer under Variation of System Parameters to Alleviate the Voltage Sag in Distribution System

PV System-Based Switched Capacitor DC–DC Converter for High Voltage Gain Using Fuzzy-PID Controller

Contact Info

Product

Resources

About