Enhancement of PQ in grid connected PV system using hybrid technique

Sujatha, B.; S, Anitha G

doi:10.1016/j.asej.2016.04.007

Cited by 29 publications

(17 citation statements)

References 24 publications

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“…The assessment properties represent that the projected technique could be a favorable solution for PQ improvement of the PV systems under grid side faults, which is proficient over the other conventional techniques which is mentioned in below section. From the comparison derived from table II, it clearly shows that the THD of the proposed controller is much superior over the existing techniques [11] and [12]. It can determine that the projected technique effectively enhances the PQ of the grid-connected PV system compared to the conventional techniques.…”

Section: Simulation Results and Discussionmentioning

confidence: 88%

Power Quality Improvements in Grid-Connected PV System Using Hybrid Technology

Mallappa¹,

García²,

Quesada³

2021

REPQJ

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Section: Simulation Results and Discussionmentioning

confidence: 88%

Power Quality Improvements in Grid-Connected PV System Using Hybrid Technology

Mallappa¹,

García²,

Quesada³

2021

REPQJ

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“…The above results concluded that KGMO based optimization technique is very effective in dynamic weather conditions and gives lesser harmonics compared to other techniques. From the table 2 and 3, it clearly shows that the THD of proposed controller is much superior over the existing techniques [16] and [17]. It can determine that the projected technique effectively enhances the PQ of the grid-connected PV system when related to the existing techniques.…”

Section: Fig 9 Thd Calculation Of Proposed Methodsmentioning

confidence: 87%

“…Sujatha, B. G., and G. S. Anitha [16] presented a hybrid method based on PQ improvement in grid integrated PV system. The joined performance of both the RBFNN and PI controller is established in this paper.…”

Section: Related Workmentioning

confidence: 99%

Power Quality Improvements in Grid Connected PV System using Novel Optimization Technique

Kumar*¹,

Kumar²,

Siddhik³

2019

IJRTE

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In the last few years, several concepts have been developed in the field of Power Quality (PQ) improvements. Features of PQ plays a significant part in power system based applications. Nowadays, technologies in Renewable Energy Source (RES) have got more opportunities for promoting Photo-Voltaic (PV) for generating electric power. It may affect the reliability and stability of entire power system, also produces the switching frequency with irregular manner and variation within the certain region. Also, Incremental-Conductance (IC) method miserably fails to recognize Global Maximum Power Point (MPP) and gets trapped in one of the Local MPP. Since the conventional MPPT (Maximum Power Point Tracking) might not separate the maximum power of the P-V characteristic curve, a novel tracking system needs to be established. In this research work, Kinetic Gas Molecular Optimization (KGMO) is implemented with IC for improving the PQ by providing the adequate switching pulse to inverter for enhancing the system performance. The proposed method reduced the Total Harmonic Distortion (THD) up to 4.67 %, and the efficiency is observed by evaluation over the traditional Radial Basis Function Neural Network (RBFNN) and IC-MPPT techniques. The proposed method is implemented in the MATLAB/Simulink software to analyze the performance of PQ issues.

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“…A continuous power flow parameter for both the regular and abnormal conditions is the main objective of the grid-related PV topology. Using grid parameters, the proposed control technique would produce power pulses of the inverter [22].…”

Section: Grid Connected Pvmentioning

confidence: 99%

Coordinated Control of Battery Energy Storage System Based on Fuzzy Logic for Microgrid with Modified AC Coupling Configuration

Kusmantoro¹

2021

IJIES

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Microgrid systems are an excellent solution to increasing demand for electricity and are a great way to incorporate renewable energy sources into the electrical energy distribution system. To overcome the fluctuation of renewable energy (PV) based generation, an energy storage system using a battery (BESS) can be used. This paper proposes power management with a modified AC coupling configuration, and a BESS coordinated control strategy based on fuzzy logic. The AC coupling configuration in the microgrid system generally uses batteries to store excess power from the PV. In the proposed AC coupling configuration, two batteries are used, battery 1 (BESS 1) is used to store excess power of the PV array 1 (PVA1) via the inverter battery, while battery 2 (BESS 2) is used to store energy from the PV array 2 (PVA2)). In this microgrid system, PVA1 is connected to the network, so that the power generated by PVA1 is sent to the AC bus grid using a solar inverter. For two-way power flow on the grid and BESS, inverter batteries are used. The main focus of this article is the analysis of the impact of fuzzy logic (FLC) control strategy and PI control on BESS. When the PV is connected to the grid, control fuzzy logic (FLC) produces an overshoot of 4.73% and a settling time of 14.04 seconds lower than the PI control, overshoot 55.14% and settling time 26.29 seconds. The THD of the voltage and current in this mode is 0.06% and 11.08%. When the microgrid is in island mode, FLC produces an overshoot of 0.54% and a settling time of 13.78, while control PI produces an overshoot of 68.78% and a settling time of 38.11 seconds. The THD of voltage and current in island mode are 0.8% and 11.35%. Therefore, modified AC coupling configuration with fuzzy logic control (FLC) strategy can be used to serve residential loads.

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Enhancement of PQ in grid connected PV system using hybrid technique

Cited by 29 publications

References 24 publications

Power Quality Improvements in Grid-Connected PV System Using Hybrid Technology

Power Quality Improvements in Grid-Connected PV System Using Hybrid Technology

Power Quality Improvements in Grid Connected PV System using Novel Optimization Technique

Coordinated Control of Battery Energy Storage System Based on Fuzzy Logic for Microgrid with Modified AC Coupling Configuration

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