Fuzzy Logic Controlled Superconducting Magnetic Energy Storage for Leveling Power Fluctuation of Grid Connected Wind Generator

Mukherjee, Poulomi; Rao, Vishal Govind

doi:10.1109/peeic.2018.8665563

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…The chopper circuit is responsible to maintain a steady voltage across the DC-link capacitor by charging or discharging the coil. This is achieved by the chopper controller which accepts the DC-link voltage as feedback and accordingly switches on or off the chopper's controlled switches to maintain this voltage at a steady value [11]. The bidirectional converter converts 3-phase AC voltage from the grid to DC, charging the DC-link capacitor in rectifier mode, during the base load period.…”

Section: Overview Of Smes-pcu Systemmentioning

confidence: 99%

Development of Arduino Based Power Conditioning Unit for Superconducting Magnetic Energy Storage (SMES) System used as UPS for Load Leveling during Charging of Electric Vehicles

Sarkar

Anand

Datta

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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With the advancements in Electric Vehicle (EV) technology, more and more EVs are entering into service and simultaneously the number of charging stations are also increasing. These charging stations are connected to the EVs for a small duration of time. Hence, as the number of EVs increases, the simultaneous charging of multiple EVs generates a peak active power demand for this duration. The available peak load compensation technologies such as fywheel storage, pumped hydro storage or Battery Energy Storage System (BESS) take a long time to respond and are not very efcient. With an operational efciency exceeding 90 % and quick reaction time (< 1 second), a Superconducting Magnetic Energy Storage (SMES) system can be a viable solution for this scenario. A SMES system generally consists of a superconducting coil system being charged during the low load/no load period and discharged during the peak demand, with the help of a power conditioning unit (PCU). This paper describes the development of various sub-systems of the SMES-PCU, such as a three-phase rectifer, bidirectional chopper unit, three-phase inverter and the controllers with a description of various modes of operation and sizing of components. The paper also includes the simulation of overall SMES-PCU with suitable assumptions, to present the operational characteristics of the integrated system.

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Section: Overview Of Smes-pcu Systemmentioning

confidence: 99%

Development of Arduino Based Power Conditioning Unit for Superconducting Magnetic Energy Storage (SMES) System used as UPS for Load Leveling during Charging of Electric Vehicles

Sarkar

Anand

Datta

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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show abstract

“…Using adaptive fuzzy logic control maximises the system efficiency and reduces the battery current variations. The superconducting ESS has been used for levelling the wind power fluctuations besides, employing an FLC methodology to control the DC chopper of the storage system [33]. In [34], a decentralised controller has been utilised to control the charging of the system for the buck‐and boost separately and achieve a coordinated performance for a battery system connected with a PV system.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy logic controller for solar power smoothing based on controlled battery energy storage and varying low pass filter

Atif

Khalid

2020

IET Renewable Power Generation

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Matching of the colossal energy demand with carbon‐free resources originates a global challenge to produce and innovate advanced energy technologies that generate clean and friendly energy supplies without threatening our environment. Nevertheless, with the increase in the penetration from renewable energy resources like solar and wind farms many technical issues are presented typically; power stability, power quality, and frequency fluctuations. The aforementioned problems stem from the intermittent nature of renewable resources which makes the generated power unpredictable and requires controlling and smoothing before dispatching. Conventionally low pass filter (LPF) is used with a controlled energy storage system to smoothen the fluctuated power due to its simplicity, but a delay problem increases with higher values of the filtering the time constant. This study suggests a smoothing controller‐based fuzzy logic that determines the value of the filtering time constant based on the present solar power ramp rate to avoid the battery overworking, which results in the predetermined configuration of the LPF. The presented simulation results prove the smoothing performance of the proposed controller and compare its performance to the LPF during clear, normal, and cloudy irradiance profiles.

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“…Although battery energy storage technology has been relatively mature at this stage, there are still some problems in the application process, such as high cost, serious environmental pollution and short service life. In the same year, P. Mukherjee and V. V. Rao studied the use of superconducting energy storage systems to smooth power fluctuations in power systems containing wind power [5] . However, there are some shortcomings, such as the critical temperature of superconducting materials to be improved, high cost, complex equipment and immature supporting technology.…”

Section: Introductionmentioning

confidence: 99%

Properties Dynamic Simulation of the Flywheel Energy Storage System Model with Speed-Current Double Closed Loop

Zhou¹,

Sun²,

Xu³

et al. 2020

dteees

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The random fluctuation of output power of modern distributed power generation system brings many hidden dangers to the safe operation of power grid, and the application of energy storage system is the most effective way to smooth the output power of distributed power generation. Based on the analysis of the structure and charge-discharge dynamic performance of the flywheel energy storage system, the permanent magnet brushless DC motor (PMBLDCM) is proposed as the flywheel motor, and the charging and discharging mathematical model of the flywheel energy storage system based on PMBLDCM is established. Using MATLAB/Simulink, the simulation model of flywheel energy storage system with speed-current double closed Loop is established. The simulation results show that the system can effectively control the flywheel energy storage system to achieve two-way energy conversion, and effectively stabilize power fluctuations.

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Fuzzy Logic Controlled Superconducting Magnetic Energy Storage for Leveling Power Fluctuation of Grid Connected Wind Generator

Cited by 6 publications

References 8 publications

Development of Arduino Based Power Conditioning Unit for Superconducting Magnetic Energy Storage (SMES) System used as UPS for Load Leveling during Charging of Electric Vehicles

Development of Arduino Based Power Conditioning Unit for Superconducting Magnetic Energy Storage (SMES) System used as UPS for Load Leveling during Charging of Electric Vehicles

Fuzzy logic controller for solar power smoothing based on controlled battery energy storage and varying low pass filter

Properties Dynamic Simulation of the Flywheel Energy Storage System Model with Speed-Current Double Closed Loop

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