A comprehensive comparison of STATCOM versus SVC-based fuzzy controller for stability improvement of wind farm connected to multi-machine power system

Hemeida, Mahmoud G.; Rezk, Hegazy; Hamada, Mohamed M.

doi:10.1007/s00202-017-0559-6

Cited by 41 publications

(26 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dynamic voltage control of the system can be achieved by using SVC in the system. SVC reduces the impacts of faults or the disturbances on the system [11]. Reactance of the interconnection of transformer 1 with respect to V2 The STATCOM is employed to the system for improvement of dynamic and transient stability of WECs and improving overall power quality of the system [2,4].…”

Section: B Fuzzy Logic Controlmentioning

confidence: 99%

Stability Analysis of Wind Farm Connected Multi Machine System Using Fuzzy Controller Based STATCOM and SVC

Kumar,

Pandey,

Sinha

2019

IJRTE

View full text Add to dashboard Cite

Large capacity wind farm are used to fulfil the demand of power now days. Stability of these wind farms is the main concern when integrating with the large power system. FACTS devices are employed with the system to advance the dynamic time responses of the system. In this paper a comparative analysis of STATCOM and SVC has been done. At the place of conventional controllers like P, PI, PID fuzzy logic control (FLC) has been used in the FACTS devices used. These FACTS devices are used to improve the power quality of the overall system. To inspect the system performance and analyze the behavior of the system a three phase to ground fault has been taken into account at two different locations, the software used for modelling and simulation is MATLAB/Simulink. Results demonstrate damping and oscillations of Fuzzy controlled STATCOM and SVC based system.The comparative analysis shows that the system with FLC based STATCOM has better performance than the FLC based SVC and fast fault clearance.

show abstract

Section: B Fuzzy Logic Controlmentioning

confidence: 99%

Stability Analysis of Wind Farm Connected Multi Machine System Using Fuzzy Controller Based STATCOM and SVC

Kumar,

Pandey,

Sinha

2019

IJRTE

View full text Add to dashboard Cite

show abstract

“…The reactive power consumption even increases during transient conditions. Due to that shortcoming many publications for transient stability improvement of IM based wind generation using FACTS devices [95][96][97][98][99][100][101][102][103] are found in the literature. The main aim of all papers is to improve transient stability by reactive power support from FACTS.…”

Section: Wind Power Plants Supplemented With Factsmentioning

confidence: 99%

Transient stability improvement: a review and comparison of conventional and renewable-based techniques for preventive and emergency control

et al. 2017

View full text Add to dashboard Cite

“…A rapid increase of utilized fossil fuels and the limitation on producing this fuel in a large number of countries around the world has led to the depletion of fossil fuel, increasing the price and causing environment problems such as acid rain, air pollution and global warming [1,2]. Photovoltaic (PV) system is considered an effective way to capture solar irradiance and directly converts it to electricity [3,4].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Moth-Flame Optimization Algorithm and Incremental Conductance for Tracking Maximum Power of Solar PV/Thermoelectric System under Different Conditions

et al. 2019

View full text Add to dashboard Cite

For an efficient energy harvesting by the PV/thermoelectric system, the maximum power point tracking (MPPT) principle is targeted, aiming to operate the system close to peak power point. Under a uniform distribution of the solar irradiance, there is only one maximum power point (MPP), which easily can be efficiently determined by any traditional MPPT method, such as the incremental conductance (INC). A different situation will occur for the non-uniform distribution of solar irradiance, where more than one MPP will exist on the power versus voltage plot of the PV/thermoelectric system. The determination of the global MPP cannot be achieved by conventional methods. To deal with this issue the application of soft computing techniques based on optimization algorithms is used. However, MPPT based on optimization algorithms is very tedious and time consuming, especially under normal conditions. To solve this dilemma, this research examines a hybrid MPPT method, consisting of an incremental conductance (INC) approach and a moth-flame optimizer (MFO), referred to as (INC-MFO) procedure, to reach high adaptability at different environmental conditions. In this way, the combination of the two different algorithms facilitates the utilization of the advantages of the two methods, thereby resulting in a faster speed tracking with uniform radiation distribution and a high accuracy in the case of a non-uniform distribution. It is very important to mention that the INC method is used to track the maximum power point under normal conditions, whereas the MFO optimizer is most relevant for the global search under partial shading. The obtained results revealed that the proposed strategy performed best in both of the dynamic and the steady-state conditions at uniform and non-uniform radiation.

show abstract

A comprehensive comparison of STATCOM versus SVC-based fuzzy controller for stability improvement of wind farm connected to multi-machine power system

Cited by 41 publications

References 27 publications

Stability Analysis of Wind Farm Connected Multi Machine System Using Fuzzy Controller Based STATCOM and SVC

Stability Analysis of Wind Farm Connected Multi Machine System Using Fuzzy Controller Based STATCOM and SVC

Transient stability improvement: a review and comparison of conventional and renewable-based techniques for preventive and emergency control

Hybrid Moth-Flame Optimization Algorithm and Incremental Conductance for Tracking Maximum Power of Solar PV/Thermoelectric System under Different Conditions

Contact Info

Product

Resources

About