Introducing MRAC-PSS-VI to Increase Small-Signal Stability of the Power System after Wind Power Integration

He, Peijun; Zheng, Mingming; Jin, Haoran; Gong, Zhijie; Dong, Jie

doi:10.1155/2022/3525601

Cited by 3 publications

(1 citation statement)

References 19 publications

(20 reference statements)

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“…Due to some issues such as environmental pollution, concerns about the consumption of fossil fuel resources, and the reduction of energy costs, signifcant eforts have been made to develop clean and renewable energy resources such as wind power over the last three decades [1,2]. It is expected that in the future, renewable energies such as wind and sun will provide a signifcant amount of electrical energy for the consumers [3,4]. As a clean and carbon-free renewable energy, wind is one of the most important energy sources on earth.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Impact of SSSC-Based FLC on the Stability of Power Systems Connected to Wind Farms

Abdollahi Chirani,

Karami

2024

International Transactions on Electrical Energy Systems

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The integration of renewable energy sources into power systems has increased significantly in recent years. Among various types of renewable energy, the use of wind energy is growing rapidly due to its low operating cost, wide distribution worldwide, and no greenhouse gas emissions. However, power systems integrated with wind energy may face stability and reliability issues due to the intermittent nature of wind power. Therefore, in power systems connected to wind farms, it is usually required to use some compensators such as static synchronous series compensator (SSSC) to increase the system performance under abnormal conditions. On the other hand, for an SSSC to be effective in improving the system performance, it must be equipped with a suitable controller. In this paper, a fuzzy logic controller (FLC) is used for the SSSC because of its advantages over conventional controllers. Extensive research has been conducted in power systems with wind turbines in which SSSC or FLC has been used; however, their simultaneous application in such systems has received less attention. Therefore, this article aims to fill this gap. The proposed method is implemented on two power systems and the simulation results are analyzed. In both systems, the dynamic behavior of three different wind farms is examined. In the first and second wind farms, either a squirrel cage induction generator (SCIG) or doubly-fed induction generator (DFIG) are used, whereas in the third one which is a combined wind farm (CWF), an equal number of SCIG and DFIG are employed. In wind farms with SCIG or DFIG, an SSSC is also utilized. Furthermore, an FLC is employed for the SSSC to improve its efficacy. A proportional integral (PI) controller is also considered for the SSSC, and its results are compared with FLC results. The simulation results confirm the superiority of FLC over PI controller.

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Section: Introductionmentioning

confidence: 99%

Investigation of the Impact of SSSC-Based FLC on the Stability of Power Systems Connected to Wind Farms

Abdollahi Chirani,

Karami

2024

International Transactions on Electrical Energy Systems

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Suppression of low-frequency oscillations in power systems containing wind power using DFIG–PSS4B based on MRAC

Wang

Sun

et al. 2023

Electr Eng

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The Effects of Dynamic Models Used in Synchronous Generator on Small Signal Stability

Döşoğlu,

Kaymaz

2024

Mugla Journal of Science and Technology

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Generators used in multi-machine power systems are very affected by transient situations such as malfunctions and line breaks. In transient situations, the system becomes unstable, and oscillations increase. In particular, order modeling of synchronous generators effectively eliminates transient stability situations. To analyze this in the best way, a small signal stability analysis is performed. This study was carried out in the MATLAB-based Power Systems Analysis Program (PSAT), using the 2nd-order and 5th-order models of the synchronous generator for small signal stability analysis in a 3-machine 9-bus power system. While the 2nd-order model is used as the traditional model in synchronous generators, the 5th-order model has been developed as a dynamic order model. Especially in the 5th-order model, it was developed based on a sub-temporal model for better damping of the system. In the comparisons made in both order models, the real and imaginary values and participation factors are shown in figures, while the eigenvalues, damping percentage, frequency, dominant values, and operating modes are presented in tables. By using both order models in the synchronous generator, the number of eigenvalues of the system was determined. The results obtained showed that the 5th-order model gave better results in small signal stability analysis.

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Introducing MRAC-PSS-VI to Increase Small-Signal Stability of the Power System after Wind Power Integration

Cited by 3 publications

References 19 publications

Investigation of the Impact of SSSC-Based FLC on the Stability of Power Systems Connected to Wind Farms

Investigation of the Impact of SSSC-Based FLC on the Stability of Power Systems Connected to Wind Farms

Suppression of low-frequency oscillations in power systems containing wind power using DFIG–PSS4B based on MRAC

The Effects of Dynamic Models Used in Synchronous Generator on Small Signal Stability

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