Transient stability evaluation (TSE) is part of dynamic security assessment of power systems, which involves the evaluation of the system’s ability to remain in equilibrium under credible contingencies. Neural networks (NN) have been applied to the security assessment of power systems and have shown great potential for predicting the security of power systems. This paper proposes a generalized ...

Abstract: This paper presents a new approach to perform time simulation of power system transient stability using implicit quadratic integral method. Fast and reliable simulation of the transient stability is required to achieve high reliability based on the online stability assessment. The trapezoidal method has been mainly adopted for this purpose. However, the proposed method shows the possi...

The high penetration of renewable energy sources, coupled with decommissioning conventional power plants, leads to the reduction system inertia. This has negative repercussions on transient stability systems. purpose this paper is review state-of-the-art regarding application artificial intelligence assessment, a focus different machine, deep, and reinforcement learning techniques. covers data ...

with increasing the presence of microgrids (mgs) in the power systems, investigating the mg stability during transient faults is necessary. this study investigates the transient stability analysis of a mg supplied by multiple inverter interfaced distributed generations (iidgs) during fault. the transient stability of a mg is highly depends on the iidgs control strategy. a mg, simulated on matla...

thyristor-controlled series compensator (tcsc) is one of the electric power lines series compensators. tcsc increases transmission system capacity and improves system dynamic and voltage stability. several controllers have been proposed, but most of them generally improve one of tcsc capabilities. in this paper a tcsc robust controller is designed based on nonlinear quantitative feedback theory...

In order to overcome the problems of poor understandability of the pattern recognition-based transient stability assessment (PRTSA) methods, a new rule extraction method based on extreme learning machine (ELM) and an improved Ant-miner (IAM) algorithm is presented in this paper. First, the basic principles of ELM and Ant-miner algorithm are respectively introduced. Then, based on the selected o...

This paper presents transient stability assessment of electrical power system using probabilistic neural network (PNN) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs. Simulations were carried out on the IEEE 9-bus test system considering three phase faults on th...