Coordinated Control of the DFIG Wind Power Generating System Based on Series Grid Side Converter and Passivity-Based Controller Under Unbalanced Grid Voltage Conditions

Cheng, Qi; Ma, Xinqiao; Cheng, Yinman

doi:10.1007/s42835-020-00485-8

Cited by 8 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the time, the grid-side converter operates at a unity power factor [26], and the reactive power emitted by the DFIG's grid-side converter causes fluctuations in active power output [27]. Therefore, this study does not account for the reactive power emitted by the grid-side converter:…”

Section: Reactive Power Pricing Model For Dfig (Doubly-fed Induction ...mentioning

confidence: 99%

Research on Dynamic Reactive Power Cost Optimization in Power Systems with DFIG Wind Farms

Xu,

Wang,

Chen

et al. 2024

Processes

View full text Add to dashboard Cite

As the power market system gradually perfects, the increasingly fierce competition not only drives industry development but also brings new challenges. Reactive power optimization is crucial for maintaining stable power grid operation and improving energy efficiency. However, the implementation of plant–grid separation policies has kept optimization costs high, affecting the profit distribution between power generation companies and grid companies. Therefore, researching how to effectively reduce reactive power optimization costs, both technically and strategically, is not only vital for the economic operation of the power system but also key to balancing interests among all parties and promoting the healthy development of the power market. Initially, the study analyzes and compares the characteristic curves of synchronous generators and DFIGs, establishes a reactive power pricing model for generators, and considering the randomness and volatility of wind energy, establishes a DFIG reactive power pricing model. The objective functions aimed to minimize the cost of reactive power purchased by generators, the price of active power network losses, the total deviation of node voltages, and the depreciation costs of discrete variable actions, thereby establishing a dynamic reactive power optimization model for power systems including doubly-fed wind farms. By introducing Logistic chaotic mapping, the CSA is improved by using the highly stochastic characteristics of chaotic systems, which is known as the Chaotic Cuckooing Algorithm. Meanwhile, the basic cuckoo search algorithm was improved in terms of adaptive adjustment strategies and global convergence guidance strategies, resulting in an enhanced cuckoo search algorithm to solve the established dynamic reactive power optimization model, improving global search capability and convergence speed. Finally, using the IEEE 30-bus system as an example and applying the improved chaotic cuckoo search algorithm for solution, simulation results show that the proposed reactive power optimization model and method can reduce reactive power costs and the number of discrete device actions, demonstrating effectiveness and adaptability. When the improved chaotic cuckoo algorithm is applied to optimize the objective function, the optimization result is better than 7.26% compared to the standard cuckoo search algorithm, and it is also improved compared to both the PSO algorithm and the GWO algorithm.

show abstract

Section: Reactive Power Pricing Model For Dfig (Doubly-fed Induction ...mentioning

confidence: 99%

Research on Dynamic Reactive Power Cost Optimization in Power Systems with DFIG Wind Farms

Xu,

Wang,

Chen

et al. 2024

Processes

View full text Add to dashboard Cite

show abstract

“…Full-inverter-based sources include photovoltaic sources and permanent magnetic synchronous generators (PMSG) [15,15], where all the power generated are penetrated to the grid through inverters. Doubly fed Induction Generators (DFIG) are typical partial-inverterbased sources [17], which connect to the grid through a power machine together with the inverter. Despite the differences, renewable energy plants have the characteristic of weak sources.…”

Section: Fault Characteristics Analysismentioning

confidence: 99%

Traveling Wave Based Differential Protection for Renewable Energy Penetrated Power System

Wang

Dong

2022

J. Electr. Eng. Technol.

View full text Add to dashboard Cite

Renewable sources such as solar and wind is the ideal solution for sustainable development. However, protection methods for renewable energy penetrated power systems still faces a lot of challenges. We claim that the performance of the differential protection is highly related to the model accuracy. Using a detailed distributed parameter line model, this paper developed a novel differential protection method for renewable energy penetrated power systems based on traveling waves with high rapidity and reliability. The optimal differential point is also discussed to enhance protection rapidity. Experiments demonstrate that the proposed protection could soon detect internal faults with high fault resistance while maintaining reliability when external faults occur.

show abstract

“…PSS is an additional excitation control, whose essence is to provide an additional signal to the excitation system, and to increase the damping torque of the generator through the excitation system 8 . Cheng Qiming et al revealed the relationship between the realtime electricity price of load and the related Lagrange multiplier 9 . Sutianyu et al revealed that the dual variable of the interior point method contains a lot of economic information 10 .…”

Section: Introductionmentioning

confidence: 99%

Research on parameter optimization of damping controller based on fuzzy control algorithm

Fang,

Huang

2023

Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023)

View full text Add to dashboard Cite

Coordinated Control of the DFIG Wind Power Generating System Based on Series Grid Side Converter and Passivity-Based Controller Under Unbalanced Grid Voltage Conditions

Cited by 8 publications

References 17 publications

Research on Dynamic Reactive Power Cost Optimization in Power Systems with DFIG Wind Farms

Research on Dynamic Reactive Power Cost Optimization in Power Systems with DFIG Wind Farms

Traveling Wave Based Differential Protection for Renewable Energy Penetrated Power System

Research on parameter optimization of damping controller based on fuzzy control algorithm

Contact Info

Product

Resources

About