Wind Energy Conversion Systems (Wecs) Generators: A Review

Bhutto, Darya Khan; Ansari, Jamshed Ahmed; Bukhari, Syed Sabir Hussain; Chachar, Faheem Akhtar

doi:10.1109/icomet.2019.8673429

Cited by 27 publications

(24 citation statements)

References 20 publications

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“…by using a high-pole number electric machine. Their disadvantages include increased losses from additional power electronic devices, as well as increased cost and control complexity [5]. Table 1 summarises the key differences between fixed-speed and variable-speed electric machine-drive systems.…”

Section: Examplesmentioning

confidence: 99%

Modern electric machines and drives for wind power generation: A review of opportunities and challenges

Chen

Zuo

Chau

et al. 2021

IET Renewable Power Gen

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With ever-increasing concerns on energy crisis and environmental protection, there is a fast-growing interest in wind power generation systems. As electric machines and drives are core components in wind turbines, it is a pressing need for researchers and engineers to develop advanced electric machines and drives for wind power generation. This paper provides a thorough review of modern electric machines and drives for wind power generation, with emphasis on machine topologies, operation principles, performance characteristics, as well as control strategies. The key features of electric machines and drives including their merits and demerits, e.g. torque/power density, efficiency, and cost, are compared and summarised. Trade-offs involved in various presented methods and strategies are highlighted. The major challenges and difficulties, which electric machines and drives for wind power generation are facing, are discussed. Moreover, the developing trends and opportunities are revealed, while the latest development is also discussed.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Examplesmentioning

confidence: 99%

Modern electric machines and drives for wind power generation: A review of opportunities and challenges

Chen

Zuo

Chau

et al. 2021

IET Renewable Power Gen

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“…The permissible load shedding limits for the reliability requirement considered for the constraint in each busbar are given in (15). If the intention is always meeting all loads in a busbar, the total value of (15) will be assumed to be equal to zero.…”

Section: B Maximum Placement Optimizationmentioning

confidence: 99%

“…Among the different types of wind turbines, permanent magnet synchronous generators (PMSGs) and doubly fed induction generators (DFIGs) are the most extensively used [13], [14]. To select the best wind turbine for the region, production technology, production costs, and their effects on power grid connections must be collectively taken into consideration [15]. The approximate weight calculation for a turbine with nominal power, height, and technology was proposed as a function of the weight of the parts [16].…”

mentioning

confidence: 99%

Mesoscale Wind Farm Placement via Linear Optimization Constrained by Power System and Techno-economics

Erduman

Uzunoğlu

Kekezoğlu

et al. 2021

Journal of Modern Power Systems and Clean Energy

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The objective of this study is to develop a wind farm placement and investment methodology based on a linear optimization procedure. This problem has a major significance for the investment success for the projects of renewable energy such as wind power. In this study, a mesoscale approach is adopted whereby the wind farm location is investigated in comparison with a microscale approach where the location of each individual turbine is optimized. Specifical study focuses on the placement of a wind farm by economical optimization constrained by the power system, wind resources, and techno-economics. Linear optimization is introduced in this context at the power system which is constrained by wind farm planning.

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“…In this work, the network is prepared to act as an extraordinary sort of a traditional controller. The sources of information and target information for the preparing of the neural system are made from the current data (inputs and yield) of that controller in a closed loop connected in parallel with plant [26]. The model is reproduced and the PID controller is utilized as a mentor for the system in the preparation/training procedure.…”

Section: Implementation Of Multi-layer Perceptron Feedforward Neural Networkmentioning

confidence: 99%

Power Optimization Control Scheme for Doubly Fed Induction Generator Used in Wind Turbine Generators

et al. 2020

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Scientists and researchers are exploring different methods of generating and delivering electrical energy in an economical and reliable way, enabling them to generate electricity focusing on renewable energy resources. All of these possess the natural property of self-changing behavior, so the connection of these separate independent controllable units to the grid leads to uncertainties. This creates an imbalance in active power and reactive power. In order to control the active and reactive power in wind turbine generators with adjustable speed, various control strategies are used to allay voltage and current variations. This research work is focused on the design and implementation of effective control strategies for doubly fed induction generator (DFIG) to control its active and reactive power. A DFIG system with its control strategies is simulated on MATLAB software. To augment the transient stability of DFIG, the simulation results for the active and reactive power of conventional controllers are compared with three types of feed forward neural network controllers, i.e., probabilistic feedforward neural network (PFFNN), multi-layer perceptron feedforward neural network (MLPFFN) and radial basic function feedforward neural network (RBFFN) for optimum performance. Conclusive outcomes clearly manifest the superior robustness of the RBFNN controller over other controllers in terms of rise time, settling time and overshoot value.

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Wind Energy Conversion Systems (Wecs) Generators: A Review

Cited by 27 publications

References 20 publications

Modern electric machines and drives for wind power generation: A review of opportunities and challenges

Modern electric machines and drives for wind power generation: A review of opportunities and challenges

Mesoscale Wind Farm Placement via Linear Optimization Constrained by Power System and Techno-economics

Power Optimization Control Scheme for Doubly Fed Induction Generator Used in Wind Turbine Generators

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