Fuzzy self tuning PI controller based inverter control for voltage regulation in off-grid hybrid power system

Anantwar, Harsha; Lakshmikantha, B. R.; Sundar, Shanmukha

doi:10.1016/j.egypro.2017.05.160

Cited by 31 publications

(15 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper, fuzzy control is used to adjust the gain of the PI controller. Methods for adjusting the gain value of PI controller using fuzzy control were presented through several studies [34][35][36][37][38]. However, existing studies depend on designer knowledge for rule base and membership function designs and do not suggest how the gain value of a PI controller changes with its operational state.…”

Section: Introductionmentioning

confidence: 99%

Improvement of MPPT Control Performance Using Fuzzy Control and VGPI in the PV System for Micro Grid

Kim

2019

Sustainability

View full text Add to dashboard Cite

This paper proposes the method for maximum power point tracking (MPPT) of the photovoltaic (PV) system. The conventional PI controller controls the system with fixed gains. Conventional PI controllers with fixed gains cannot satisfy both transient and steady-state. Therefore, to overcome the shortcomings of conventional PI controllers, this paper presents the variable gain proportional integral (VGPI) controllers that control the gain value of PI controllers using fuzzy control. Inputs of fuzzy control used in the VGPI controller are the slope from the voltage-power characteristics of the PV module. This paper designs fuzzy control's membership functions and rule bases using the characteristics that the slope decreases in size, as it approaches the maximum power point and increases as it gets farther. In addition, the gain of the PI controller is adjusted to increase in transient-state and decrease in steady-state in order to improve the error in steady-state and the tracking speed of maximum power point of the PV system. The performance of the VGPI controller has experimented in cases where the solar radiation is constant and the solar radiation varies, to compare with the performance of the P&O method, which is traditionally used most often in MPPT, and the performance of the PI controller, which is used most commonly in the industry field. Finally, the results from the experiment are presented and the results are analyzed.

show abstract

Section: Introductionmentioning

confidence: 99%

Improvement of MPPT Control Performance Using Fuzzy Control and VGPI in the PV System for Micro Grid

Kim

2019

Sustainability

View full text Add to dashboard Cite

show abstract

“…Traditionally, the PI controller is one of the most studied controllers, being tuned using different techniques. In [21], Fuzzy Logic is used to continuously tune the gains of a PI controller applied to regulate the reactive power of a photovoltaic inverter. In relation to the sliding mode controller, the works in the literature use the method of Lyapunov [22][23][24] to guarantee the stability and project the controller; a process that requires a complex mathematical adjustment.…”

Section: Introductionmentioning

confidence: 99%

Weighted-PSO Applied to Tune Sliding Mode Plus PI Controller Applied to a Boost Converter in a PV System

et al. 2019

View full text Add to dashboard Cite

In this paper, a sliding mode plus proportional-integral (PI) controller for a boost converter in a photovoltaic system is proposed. The proposed controller is characterized by being easy to implement and by operating with constant switching frequency. The parameters of the proposed controller are calculated using the weighted particle swarm optimization technique, ensuring low percentage of overshoot and short setting time. The use of this optimization technique allows one to ensure the stability of the controller. A linear lead-leg controller is considered in order to compare the performance of the proposed controller. Finally, experimental results using a solar kit are presented to verify the performance of the proposed controller.

show abstract

“…It is helpful in boosting the voltage. Fuzzy based PI tuning is done in [9] and a literature review of fuzzy implementions are discussed in [10]. The power oscillation statblity and disturbance reductions and THD improvement of PV connected to grid is discussed in this paper.…”

Section: Introductionmentioning

confidence: 99%

Grid Synchronisation of Photovoltaic Distributed Generation using Hybrid FUZZY-PI Controller

2019

IJITEE

View full text Add to dashboard Cite

The power generation of the world has to be increased every year as the demand increases rapidly. The high power generations are done by hydro, thermal and atomic. The power production cant is increased every year as the cost of power production increases due to this constraint and increase in high power generation increases pollutions. So the distribution side generation are used, and the PV based power generations are used mostly as the maintenance is less comparatively. The power control in PV power generation is done by DQ technique which is most widely used. It has a PI controller to regulate the real power.In this paper, the fuzzy logic control which is combined with the PI controller is used to increase the controllability of the power system. The MATLAB 2017b is used to do the simulation of the applied technique and the results are discussed with improvements.

show abstract

Fuzzy self tuning PI controller based inverter control for voltage regulation in off-grid hybrid power system

Cited by 31 publications

References 6 publications

Improvement of MPPT Control Performance Using Fuzzy Control and VGPI in the PV System for Micro Grid

Improvement of MPPT Control Performance Using Fuzzy Control and VGPI in the PV System for Micro Grid

Weighted-PSO Applied to Tune Sliding Mode Plus PI Controller Applied to a Boost Converter in a PV System

Grid Synchronisation of Photovoltaic Distributed Generation using Hybrid FUZZY-PI Controller

Contact Info

Product

Resources

About