Analysis of Bifurcations in a Wind Turbine System Based on DFIG

Khosravi, Saber; Zamanifar, Mehran; Derakhshan-Barjoei, Pouya

doi:10.28991/esj-2018-01126

Cited by 11 publications

(2 citation statements)

References 37 publications

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“…Additionally, due to the nature of renewable DER units, concurrent changes in the generation of DER units for supplying the demand load may result in under or overvoltage [21], [22]. The effects of such phenomena may vary according to the location of DER units and weather conditions [23], [24]. Additionally, the system performs better at a certain penetration level of DER units, but, above this level, the system degrades due to substation and feeder loads, voltage variation, and increasing power losses [25].…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Ant Lion Optimization for Performance Improvement of Modern Distribution Network

Soesanti

Syahputra

2022

IEEE Access

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Multi-objective ant lion optimization (MALO) is a technique developed by imitating the behavior of the ant king foraging. This method has many advantages: straightforward, scalable, flexible, good balance, and fast response. The MALO technique consists of five stages: ants perform optimization by random walking by updating their position, building traps, inserting ants into traps, capturing prey, and rebuilding traps. MALO has attracted the attention of many researchers and has been used successfully to find optimal solutions for power system problems. Computer-assisted operations characterize modern distribution networks to solve complex problems. The complexity of the distribution network problem is due to the integration of distributed energy resources (DER). DER is a renewable energy power plant with up to 10 MW, gaining popularity in recent times. In its application, the integration of DER into the distribution network can cause new problems, namely, load imbalances or excessive voltage increases on the buses where the DER is injected. Therefore, sound planning is needed to place DER. This research proposes a multi-objective optimization technique based on MALO to determine the optimal DER location and capacity. The MALO is a relatively new optimization method that has the potential to improve distribution network performance. Test cases have been carried out for the IEEE 33-bus distribution network. Four scenarios have been carried out, namely integrating DER type-I, type-II, type-III, and type-IV. In each design, the placement of 1 DER, 2 DERs, and 3 DERs is modelled to optimize the location and capacity. The results of multi-objective optimization show that the MALO technique can improve the distribution network performance, characterized by a significant reduction in power losses, an increase in the bus voltage profile, and a balanced load on each feeder.

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Section: Introductionmentioning

confidence: 99%

Multiobjective Ant Lion Optimization for Performance Improvement of Modern Distribution Network

Soesanti

Syahputra

2022

IEEE Access

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“…In China, wind power industry has developed rapidly duo to technological progress, power guiding policies, and improved energy price mechanism (Feng et al, 2015;Sun et al, 2015). Along with the expansion of wind power industry, there are many researches on wind power technology (Khosravi et al, 2018;Zhao et al, 2015;Zhou et al, 2010), industrial development (Alexandre et al, 2012;Luo et al, 2016;Zhao et al, 2013), policy recommendations (Kang et al, 2012;Liu et al, 2010;Wolsink, 2010), and economic analysis on the investment and operation (Li et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

The impact of onshore wind power projects on ecological corridors and landscape connectivity in Shanxi, China

Xinya

Zhang

et al. 2020

Journal of Cleaner Production

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Wind power industry has developed rapidly in China, however the effect of wind power projects on ecosystem is far from clearly understood. The objective of the current study is to evaluate the negative impact of wind power plants on ecosystem. In this research, Least-cost distance (LCD) and Least-cost path (LCP) models were employed to establish potential ecological corridors based on the resistance at the site of the wind power projects, which is located in the ecological function area in Qinyuan, South Shanxi Province, China. Landscape connectivity was evaluated using a set of connectivity indices. In addition, the impacts on corridor patency, length and connectivity between ecological corridors were analyzed. The results showed that the wind power projects could not only significantly increase the migration resistance that hampers the formation of ecological corridors of the species at landscape scale, but also have an obvious cutting effect on the landscape, resulting in the increase in the length of the ecological corridors and the decrease in corridor patency and landscape connectivity. The average increased corridor length was 95 km. There was also a positive relationship between length increase and the distance between source patches. In addition, the connectivity was enhanced with the increase in distance threshold. This study evaluated the ecological impacts of onshore wind power projects at the landscape level, filling the gap in such research on landscape ecology, especially in the key ecological function protected area. Meanwhile, the results are beneficial to guide the selection of wind power projects location and minimize the negative impact on the key ecological corridors.

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Stability and multi-frequency dynamic characteristics of nonlinear grid-connected pumped storage-wind power interconnection system

Guo,

2023

Nonlinear Dyn

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Analysis of Bifurcations in a Wind Turbine System Based on DFIG

Cited by 11 publications

References 37 publications

Multiobjective Ant Lion Optimization for Performance Improvement of Modern Distribution Network

Multiobjective Ant Lion Optimization for Performance Improvement of Modern Distribution Network

The impact of onshore wind power projects on ecological corridors and landscape connectivity in Shanxi, China

Stability and multi-frequency dynamic characteristics of nonlinear grid-connected pumped storage-wind power interconnection system

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