PWM based Double loop PI Control of a Bidirectional DC-DC Converter in a Standalone PV/Battery DC Power System

Bhagiya, R. D.; Patel, Rashmi

doi:10.1109/indicon47234.2019.9028974

Cited by 26 publications

(8 citation statements)

References 15 publications

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“…The bidirectional converter [16] operates in buck mode when excess power is available storing energy in the battery pack. The same converter operates in boost mode when the system has insufficient compensation power.…”

Section: Figure 3 Vc Feedback Controlmentioning

confidence: 99%

Voltage and frequency stabilization by fuzzy integrated droop control of a multi renewable source micro grid

Swathi

Kumar

Upendar

2023

IJEECS

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A multi renewable source micro-grid system has many power quality issues when it is operated in grid islanding condition. During grid connected mode the voltage and frequency of the system will remain stable for small disturbances like load changes or environmental changes. During these sudden variations in the system, the grid supports the load maintaining the system stable. In this paper a droop control is introduced for the renewable source module 3-ph inverter during standalone mode supporting the load. For detection of grid islanding, an active islanding detection control is adopted which makes the 3-ph inverter to shift from synchronous reference frame (SRF) control to droop control. The performance of the droop control is improvised with fuzzy interference structure (FIS) module replacing the conventional proportional integral and derivative (PID) control. A comparative analysis is done in this paper with different controllers in droop control scheme using matrix laboratory (MATLAB) Simulink software. Stability analysis is carried out on the system determining the voltage and frequency fluctuations during grid disturbances. There is an improvement in load compensation, voltage ripple, voltage magnitude, frequency ripple and settling time with the introduced fuzzy droop controller.

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Section: Figure 3 Vc Feedback Controlmentioning

confidence: 99%

Voltage and frequency stabilization by fuzzy integrated droop control of a multi renewable source micro grid

Swathi

Kumar

Upendar

2023

IJEECS

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“…The optimizing of P and I control parameters leads to the implementation of PI control, which effectively overcomes the limitations of each control parameter [13] [16]. The s-domain block diagram of PI control is illustrated in Figure 2.…”

Section: B Control Proportional Integralmentioning

confidence: 99%

The Effect of Voltage Changes Toward Time and Temperature Charging of Electrical Vehicle Battery

Putra,

Amalia

2023

ECT

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Technology in electric vehicles (EVs) has emerged as a major topic in the development of environmentally friendly and efficient energy. The battery is one of the most important components of an EV. Using the CCCV charging method, the battery will be more stable when charging. The performance of an EV mainly depends on its battery charging strategy. Consumers want fast charging with long-distance travel and good acceleration. Various filling techniques are currently in use, but research is still ongoing to find which one is more optimal and reliable. Modelling and simulation are very important to find out how to get optimal charging current or voltage, as well as determine the pattern of the charging circuit to shorten the charging time for EVs. This paper proposes a design and method that is carried out by changing the output voltage with a boost converter circuit to see the effect of time and temperature during charging and the simulation results are obtained regarding the length of time for charging Lithium-ion batteries. With the 420 V input voltage and 153 A, the battery is fully charged for 4500 seconds with a maximum temperature of 38° at a voltage of 420 V and the fastest charging time is 1200 seconds at an output voltage of 450 V with a maximum temperature of 62°. A 10 V voltage change resulted in a temperature increase of 6°C and a charging time of 600 seconds for each cycle.

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“…To improve the performance of two-loop strategy, robust non-linear controllers have been proposed. Recent work has addressed several control techniques in two-loop controllers such as: active disturbance rejection [14] and PI controllers [14][15][16], passivity based control [17], predictive control [17,20], droop control [21] and adaptive controllers [22]. The description of the controllers used in inner and outer loops in this paper is shown in Table 3.…”

Section: Current and Voltage Controlmentioning

confidence: 99%

A Review of Control Techniques in Photovoltaic Systems

et al. 2020

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Complex control structures are required for the operation of photovoltaic electrical energy systems. In this paper, a general review of the controllers used for photovoltaic systems is presented. This review is based on the most recent papers presented in the literature. The control architectures considered are complex hybrid systems that combine classical and modern techniques, such as artificial intelligence and statistical models. The main contribution of this paper is the synthesis of a generalized control structure and the identification of the latest trends. The main findings are summarized in the development of increasingly robust controllers for operation with improved efficiency, power quality, stability, safety, and economics.

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PWM based Double loop PI Control of a Bidirectional DC-DC Converter in a Standalone PV/Battery DC Power System

Cited by 26 publications

References 15 publications

Voltage and frequency stabilization by fuzzy integrated droop control of a multi renewable source micro grid

Voltage and frequency stabilization by fuzzy integrated droop control of a multi renewable source micro grid

The Effect of Voltage Changes Toward Time and Temperature Charging of Electrical Vehicle Battery

A Review of Control Techniques in Photovoltaic Systems

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