Optimization of damping controller for PSS and SSSC to improve stability of interconnected system with DFIG based wind farm

Bhukya, Jawaharlal; Mahajan, Vasundhara

doi:10.1016/j.ijepes.2019.01.017

Cited by 55 publications

(32 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rotor angle stability is divided into transient stability and small-disturbance stability. Transient stability is related to the capacity of the power system to keep synchronism when an extreme disturbance occurs, like a fault [19]. Small-disturbance stability is defined as the capability of power system to preserve synchronism under small disturbance [8,19].…”

Section: Rotor Angle Stabilitymentioning

confidence: 99%

Transient Stability Assessment of IEEE 9-Bus System Integrated Wind Farm

2021

View full text Add to dashboard Cite

The use of wind energy is increased due to the high demand for sustainable energy. The penetration of wind energy in electrical networks might have several effects on load flow and power system stability. In this research, the transient stability of the IEEE 9-Bus system integrated with Doubly Fed Induction Generator (DFIG) is analyzed. Additionally, different penetration levels of a wind farm are considered. With a 5% penetration of wind energy, the maximum power angle of the synchronous generator is around 129 deg, which is quite similar to the existing system. In contrast, the power angle increases to 140 deg after adding more wind turbines with 15% wind farm penetration. Then, the system loses stability with a 25% penetration of wind energy. The results indicate that the high penetration of wind energy has a destabilizing impact on the studied network. Moreover, the location of the wind farm affects transient stability. This research intends to contribute towards assessing the stability of the power system integrated DFIG. Hence, this study will support the increase of using wind energy in power systems rather than conventional power plants and evaluate the stability to enable the reliability of alternative energy sources in the grid.

show abstract

Section: Rotor Angle Stabilitymentioning

confidence: 99%

Transient Stability Assessment of IEEE 9-Bus System Integrated Wind Farm

2021

View full text Add to dashboard Cite

show abstract

“…In [15], the stability issue of the grid for a DFIG-based wind farm was analyzed. The impact of power system stabilizer (PSS) and a static series synchronous compensator (SSSC) on the stability of wind power systems was studied.…”

Section: Introductionmentioning

confidence: 99%

Integration of automatic voltage regulator and power system stabilizer: small-signal stability in DFIG-based wind farms

Essallah

Bouallegue

Khedher

2019

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

The increasing penetration of wind farms in the energy sector directly affects the dynamic behavior of the power system. The increasing use of wind energy in the power system worsens its stability and inherently influences the firmness of a small signal. To investigate these effects, one of the synchronous generators (SGs) of the grid is considered defective and is replaced by a doubly fed induction generator (DFIG)-based wind farm of the same rating. The small-signal stability of a power system is usually evaluated via eigenvalue analysis where local-area and inter-area oscillatory modes for the New England test system are identified. SG controls, such as automatic voltage regulator (AVR) and power system stabilizer (PSS), are added to attenuate the generated disturbances. In this study, the impact of wind energy on the small-signal stability of the power system is investigated. Different combinations of AVR and PSS types are considered to mitigate the undesirable alterations. A comparative study is performed based on numerical simulations to choose the best combination of AVR and PSS types. The obtained results prove that the proposed combination yields good results in terms of stability enhancement both under normal operating conditions and in DFIG-based wind farms.

show abstract

“…The whale optimization algorithm, genetic algorithm and ANN were used in [17] to determine the optimal parameters of STATCOM integrated with CWF. In Ref [18] particle swarm optimization is used to tune and damp power system oscillation of DFIG wind farms integrated with SSSC. A new control strategy based on ANFIS is proposed in [19] to improve the performance of DFIG wind farm integrated with SSSC.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Wind Farms Using Tuned SSSC Based on Artificial Neural Network

Ibrahim¹,

Kamel²,

Rashad³

et al. 2019

IJIMAI

View full text Add to dashboard Cite

Recently, power systems are confronting a lot of challenges. Increasing the dependence on renewable energy sources especially wind energy and its impact on the stability of electrical systems are the most important challenges. Flexible alternating current transmission systems (FACTS) can be used to improve the relationship between wind farms and electrical grids. The performance of these FACTS depends on the parameters of its control system. These parameters can be tuned using modern methods like Artificial Neural Network (ANN). In this paper, ANN is used to improve the performance of static synchronous series compensator (SSSC) integrated into combined wind farm (CWF). This CWF is composed of squirrel cage induction generators (SCIG) and doubly fed induction generators (DFIG) wind turbines. This wind farm is collecting the advantage of SCIG and DFIG wind turbines. To view out the motivation of this paper, a comparison is done among the performances of combined wind farm (CWF) with ANN-SSSC, CWF with ordinary SSSC and CWF with SSSC tune by Multiobjective genetic algorithm (MOGA SSSC). The root mean square Error (RMSE) is used to evaluate the results. The results illustrate that the performance of CWF can be improved using SSSC adjusted by ANN. . His research activities include power system modeling, analysis and simulation, renewable energy and smart grid technologies, applications of power electronics to power systems and power quality.

show abstract

Optimization of damping controller for PSS and SSSC to improve stability of interconnected system with DFIG based wind farm

Cited by 55 publications

References 25 publications

Transient Stability Assessment of IEEE 9-Bus System Integrated Wind Farm

Transient Stability Assessment of IEEE 9-Bus System Integrated Wind Farm

Integration of automatic voltage regulator and power system stabilizer: small-signal stability in DFIG-based wind farms

Performance Enhancement of Wind Farms Using Tuned SSSC Based on Artificial Neural Network

Contact Info

Product

Resources

About