Impact of Large-Scale Wind Power Integration on Small Signal Stability Based on Stability Region Boundary

Liu, Wenying; Ge, Rundong; Li, Huiyong; Jiangbei, Ge

doi:10.3390/su6117921

Cited by 21 publications

(10 citation statements)

References 27 publications

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“…Where the frequency of oscillation in Hz, and the damping ratio are given by equation ( 11) and (12).…”

Section: Small Signal Stabilitymentioning

confidence: 99%

“…Different methods reported for analyzing a power system's small signal stability include probabilistic methods [11], small signals stabilization area boundaries [12], time domain simulations [7], and modal analysis by measurement of its own value [8]. The limited study of the signal stability with the application of wind power was applied to different power systems.…”

Section: Introductionmentioning

confidence: 99%

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Wind Power Influence on the Small Signal Stability of Grid Integrated Distribution Systems

Vangalapudi¹

2020

IJETER

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Use of wind power generation is increasing nowadays, particularly in the broader sense of the distribution areas. The technological impacts and constraints are still under study, and are almost unchanged in many ways. One consequence of this is the low-signal reliability of delivery networks. This paper analyzes the influence of wind power on a Grid Integrated distribution system's small signal stability. Factors such as level of integration of wind power, wind turbine technology, device activity, location of the wind farms and distributed wind farms are considered. Using modal analysis, the oscillatory modes which arise due to changes in system operating conditions are computed. The behavior of synchronous generators is corroborated with the aid of analysis of the time domain. The findings showed that the integration of wind turbines increases the damping ratio and reduces the oscillatory frequency of all modes. The point of interconnection and the generation of distributed winds have no effect on damping ratio and oscillatory frequency.

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“…Where the frequency of oscillation in Hz, and the damping ratio are given by equation ( 11) and (12).…”

Section: Small Signal Stabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wind Power Influence on the Small Signal Stability of Grid Integrated Distribution Systems

Vangalapudi¹

2020

IJETER

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“…Here, five distributed energy resources and its controlling strategies were investigated for modernized power systems. Liu et al (2014) studied the impact of large-scale wind power integration on small signal stability. Based on wind farm integration coupled with a single-machine infinite-bus system, it was observed that, compared with the synchronous generator, a wind farm greatly reduces the small signal stability region boundary and the small signal stability of the power system.…”

Section: Related Workmentioning

confidence: 99%

An enhanced particle swarm optimization algorithm for improving the renewable energy penetration and small signal stability in power system

Renuka¹,

Reji²,

Sreedharan³

2018

Renewables

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In power systems, increasing the renewable energy penetration with small signal stability is one of the demanding and critical tasks in recent days. This research work aims to develop a multistage optimization technique, namely particle swarm optimization (PSO), for improving both the energy penetration and small signal stability. Here, the wind and solar power sources are considered, and its penetration is maximized by satisfying the grid requirements such as the bus voltage, line flows, and real and reactive power generation within the limit. This work includes two stages: in the first stage, PSO algorithm is implemented for maximizing the renewable energy penetration to the test systems. Then, in the second stage, the small signal stability of the systems is improved with maximum renewable energy penetration in which the best locations for connecting the wind farm are identified by using the calculation of wind farm placement index and solar generation is fixed by considering voltage and bus load absorption capability. During simulation, the proposed method is tested and validated by using IEEE 14-bus standard system, and the 220 kV Kerala (India) grid practical system with the solar and wind power. Moreover, various measures such as power generation, load and bus voltage are evaluated for two different case studies. In this evaluation, it is proved that the renewable energy sources are safely integrated with the power system with increased energy penetration and improved small signal stability. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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“…As per [7], SSS is dependent on the system operating conditions. Also, as per [8], the SSS is affected by system oscillations due to varying wind generations. In [9], simulations have been conducted in time domain with different renewable sources for SSS enhancements and FACTS-based controllers are found to be much efficient in comparison with conventional PSS as reported by many researches [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Small Signal Stability Improvement of Wind Penetrated Power System by Lightning Search Algorithm Tuned Fractional STATCOM

Bohidar

Satapathy

Nahak

et al. 2021

Lecture Notes in Electrical Engineering

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In this work, a fractional STATCOM-based controller action is proposed for small signal stability enhancement of a variable wind integrated power system. The controlled action is provided by a fractional lead-lag compensation based on STATCOM whose parameters are optimized using lightning search algorithm (LSA) in contrast with PSO and DE techniques. The system response and eigenvalues are analyzed prior to and post damping action of the power system with step and random wind penetrations and also varying turbine input power. Eigenvalue analysis of mechanical modes of system with different case studies has been analyzed. Also, time domain analysis has been performed for 200 s with random wind penetrations to prove the efficiency of proposed controller. It is observed that fractional control action based on STATCOM with parameters tuned by LSA can much enhance system oscillation damping subject to step and random mechanical and wind power variations.

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Impact of Large-Scale Wind Power Integration on Small Signal Stability Based on Stability Region Boundary

Cited by 21 publications

References 27 publications

Wind Power Influence on the Small Signal Stability of Grid Integrated Distribution Systems

Wind Power Influence on the Small Signal Stability of Grid Integrated Distribution Systems

An enhanced particle swarm optimization algorithm for improving the renewable energy penetration and small signal stability in power system

Small Signal Stability Improvement of Wind Penetrated Power System by Lightning Search Algorithm Tuned Fractional STATCOM

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