scholarly journals Parameter Setting Strategy for the Controller of the DFIG Wind Turbine Considering the Small-Signal Stability of Power Grids

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 31287-31294 ◽  
Author(s):  
Yanbing Jia ◽  
Tao Huang ◽  
Yubo Li ◽  
Rongrong Ma
Keyword(s):  
Wind Turbine ◽  
Power Grids ◽  
Small Signal ◽  
Parameter Setting ◽  
Small Signal Stability ◽  
Signal Stability

scholarly journals Stability of Power Grids: State-of-the-art and Future Trends

2019 ◽  
Vol 217 ◽  
pp. 01017
Author(s):  
Nikita Tomin ◽  
Daniil Panasetsky ◽  
Alexey Iskakov
Keyword(s):  
Steady State ◽  
Lyapunov Function ◽  
Power Systems ◽  
Transient Stability ◽  
State Of The Art ◽  
Test System ◽  
Power Grids ◽  
Small Signal ◽  
Small Signal Stability ◽  
Signal Stability

The state of the art of transient stability and steady-state (small signal) stability in power grids are reviewed. Transient stability concepts are illustrated with simple examples; in particular, we consider two machine learning-based methods for computing region of attraction: ROA produced by Neural Network Lyapunov Function; estimation of the ROA of IEEE 39-bus system using Gaussian process and Converse Lyapunov function. We discuss steady state stability in power systems, and using Prony’s modal analysis for evaluating small signal stability for the 7 Bus Test system and real French power system.

scholarly journals Optimal Integration of the Renewable Energy to the Grid by Considering Small Signal Stability Constraint

2017 ◽  
Vol 7 (5) ◽  
pp. 2329
Author(s):  
I Made Wartana ◽  
Ni Putu Agustini ◽  
Jai Govind Singh
Keyword(s):  
Genetic Algorithm ◽  
Renewable Energy ◽  
Wind Turbine ◽  
Optimal Allocation ◽  
Optimization Problems ◽  
Small Signal ◽  
Small Signal Stability ◽  
Nsga Ii ◽  
Signal Stability ◽  
Optimal Integration

In recent decades, one of the main management’s concerns of professional engineers is the optimal integration of various types of renewable energy to the grid. This paper discusses the optimal allocation of one type of renewable energy i.e. wind turbine to the grid for enhancing network’s performance. A multi-objective function is used as indexes of the system’s performance, such as increasing system loadability and minimizing the loss of real power transmission line by considering security and stability of systems’ constraints viz.: voltage and line margins, and eigenvalues as well which is representing as small signal stability. To solve the optimization problems, a new method has been developed using a novel variant of the Genetic Algorithm (GA), specifically known as Non-dominated Sorting Genetic Algorithm II (NSGA-II). Whereas the Fuzzy-based mechanism is used to support the decision makers prefer the best compromise solution from the Pareto front. The effectiveness of the developed method has been established on a modified IEEE 14-bus system with wind turbine system, and their simulation results showed that the dynamic performance of the power system can be effectively improved by considering the stability and security of the system.

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