Performance of Wind Energy Conversion System During Fault Condition and Power Quality Improvement of Grid-Connected WECS by FACTS (UPFC)

Shetty, Sudeep; Suresh, H L; M, Sharanappa; Ramesh, C. H. Venkat

doi:10.1007/978-981-13-6001-5_16

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…Detailed simulation is carried out using MATLAB/SIMULINK software to highlight the impact of UPFC in improving the overall system performance during grid fault. (Shetty et al, 2019) [8] The demand for the power generation from wind is constantly growing. This situation forces the revision of the grid codes requirements, to remain connected during grid faults.…”

Section: Literature Reviewmentioning

confidence: 99%

A Brief Review on Power Quality Improvement using UPFC

Prajapati,

Tomar

2023

IJRASET

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Load demand is rising rapidly these days, necessitating an increase in generation capacity. Voltage instability arises as a result of external and internal imbalance, causing the bus voltage to vary. The FACTS device Unified Power Flow Controller (UPFC) is used to maintain stable voltage and improve power flow in transmission lines. This study examines the comparison of different FACTS devices as well as the analysis of UPFC to control both. In comparison to other FACTS devices such as STATCOM, which regulates only voltage, TCSC, and SVC, which controls only impedance, UPFC is one of the most promising FACTS devices since it can manage phase angle, voltage magnitude, impedance, and many line parameters selectively or concurrently

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Section: Literature Reviewmentioning

confidence: 99%

A Brief Review on Power Quality Improvement using UPFC

Prajapati,

Tomar

2023

IJRASET

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“…This work supports UPQC through the Photovoltaic (PV) and Battery Energy Storage System (BESS). In [29], the grid system that integrates WE has been found to improve power quality with UPQC. In [30], a method for implementing an automated transition of a solar photovoltaic system and a unified battery-integrated power quality conditioner (PV-B-UPQC) between stand-alone and grid-connected modes of operation is presented and discussed.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Renewable Energy Based Distributed Generation System Using ANN Tuned UPQC

Zanib

Batool²,

Riaz

et al. 2022

IEEE Access

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Emerging trends and advances in techniques in power electronics, Unified Power Quality Conditioner (UPQC) has a superior performance compared to other methods. The paper proposes the application of a ANN based UPQC to enhance the power quality of a three-phase Low-voltage network connected to a hybrid distribution generation (DG) system. The proposed work emphases the detailed performance analysis of a distributed generation system that integrates a solar PV and wind energy system by utilizing Unified Power Quality Conditioner (UPQC) with an artificial neural network (ANN) controller with respect to proportional-integral (PI) controller. The core objective of the proposed ANN is to offer good steady and dynamic state performance compared to the PID controller. The system called UPQC-ANN-RE feeds energy generated by a photovoltaic array and a wind turbine into the electrical grid and loads attached to a system of 3-phase 4-wire electrical distribution. In addition to inserting active/real power in the utility grid, the system of UPQC-ANN-RE functions as a UPQC, improving power quality signs e.g., voltage and current harmonics and power factor. A detailed analysis of the active-real power flow by converters is carried out to allow a good understanding of the operation of the UPQC-ANN-RE. The simulation outcomes are presented to assess the dynamic and steady state performance of the system of UPQC-ANN-RE connected to an electrical distribution system and to compare the consequences with the PI controller.

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“…Moreover, the implementation of UPQC in the grid-connected PV system has been discussed for power quality enhancement [8]. The WE integrated grid system has been considered for power quality improvement using UPQC [9]. The power quality of the grid connected RESs can be improved using various MPPT algorithms based on FLC and ANN.…”

Section: Introductionmentioning

confidence: 99%

Power Enhancement With Grid Stabilization of Renewable Energy-Based Generation System Using UPQC-FLC-EVA Technique

Sarita

Kumar

Vardhan³

et al. 2020

IEEE Access

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The proposed work focuses on the power enhancement of grid-connected solar photovoltaic and wind energy (PV-WE) system integrated with an energy storage system (ESS) and electric vehicles (EVs). The research works available in the literature emphasize only on PV, PV-ESS, WE, and WE-ESS. The enhancement techniques such as Unified Power Flow Controller (UPFC), Generalized UPFC (GUPFC), and Static Var Compensator (SVC) and Artificial Intelligence (AI)-based techniques including Fuzzy Logic Controller (FLC)-UPFC, and Unified Power Quality Conditioner (UPQC)-FLC have been perceived in the existing literature for power enhancement. Further, the EVs are emerging as an integral domain of the power grid but because of the uncertainties and limitations involved in renewable energy sources (RESs) and ESS, the EVs preference towards the RES is shifted away. Therefore, it is required to focus on improving the power quality of the PV-WE-ESS-EV system connected with the grid, which is yet to be explored and validated with the available technique for enhancing power quality. Furthermore, in the case of the bidirectional power flow from vehicle-to-grid (V2G) and grid-to-vehicle (G2V), optimal controlling is crucial for which an electric vehicle aggregator (EVA) is designed. The designed EVA is proposed for the PV-WE-ESS-EV system so as to obtain the benefits such as uninterruptible power supply, effective the load demand satisfaction, and efficient utilization of the electrical power. The power flow from source to load and from one source to another source is controlled with the support of FLC. The FLC decides the economic utilization of power during peak load and off-peak load. The reduced power quality at the load side is observed as a result of varying loads in the random fashion and this issue is sorted out by using UPQC in this proposed study. From the results, it can be observed that the maximum power is achieved in the case of PV and WE systems with the help of the FLC-based maximum power point tracking (MPPT) technique. Furthermore, the artificial neural network (ANN)-based technique is utilized for the development of the MPPT algorithm which in turn is employed for the validation of the proposed technique. The outputs of both the techniques are compared to select the best-performing technique. A key observation from the results and analysis indicates that the power output from FLC-based MPPT is better than that of ANN-based MPPT. Thus, the proper and economical utilization of power is achieved with the help of FLC and UPQC. It can be inferred that the EVs can play a vital role in imparting the flexibility in terms of power consumption and grid stabilization during peak load and off-peak load durations provided that the proper control techniques and grid integration are well-established. INDEX TERMSPV system, Energy storage system (ESS), electric vehicles (EVs), UPQC, grid stability, fuzzy logic control (flc), electric vehicle aggregator (EVA), MPPT, power improvement.The associate editor coordinating the review of this m...

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Performance of Wind Energy Conversion System During Fault Condition and Power Quality Improvement of Grid-Connected WECS by FACTS (UPFC)

Cited by 5 publications

References 4 publications

A Brief Review on Power Quality Improvement using UPFC

A Brief Review on Power Quality Improvement using UPFC

Performance Analysis of Renewable Energy Based Distributed Generation System Using ANN Tuned UPQC

Power Enhancement With Grid Stabilization of Renewable Energy-Based Generation System Using UPQC-FLC-EVA Technique

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