Machine learning driven smart electric power systems: Current trends and new perspectives

MS Ibrahim, W Dong, Q Yang - Applied Energy, 2020 - Elsevier
The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …

Impact of power grid strength and PLL parameters on stability of grid-connected DFIG wind farm

J Liu, W Yao, J Wen, J Fang, L Jiang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper investigates the impact of powergrid strength and phase-locked loop (PLL)
parameters on small signal stability of grid-connected doubly fed induction generator (DFIG) …

A multi-agent game based joint planning approach for electricity-gas integrated energy systems considering wind power uncertainty

N Yang, T Qin, L Wu, Y Huang, Y Huang, C Xing… - Electric Power Systems …, 2022 - Elsevier
To improve the effective planning of electricity-gas integrated energy systems (EGIES)
among various stakeholders with distinct interests, a multi-agent game based joint long-term …

Impact of inverter-interfaced renewable energy generators on distance protection and an improved scheme

Y Fang, K Jia, Z Yang, Y Li, T Bi - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
With different structures and control strategies, inverter-interfaced renewable energy
generators (IIREGs) have different fault characteristics from synchronous generators. This …

Transmission line protection challenges influenced by inverter-based resources: A review

JC Quispe, E Orduña - Protection and Control of Modern Power …, 2022 - ieeexplore.ieee.org
High penetration of renewable energy sources (RES) leads to new challenges for protection
devices. Protection schemes are typically designed according to the dynamic behavior of …

Pattern classification and PSO optimal weights based sky images cloud motion speed calculation method for solar PV power forecasting

Z Zhen, S Pang, F Wang, K Li, Z Li… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The motion of cloud over a photovoltaic (PV) power station will directly cause the change of
solar irradiance, which indirectly affects the prediction of minute-level PV power. Therefore …

Fault ride-through capability enhancement of hydrogen energy-based distributed generators by using STATCOM with an intelligent control strategy

G Bayrak, A Yılmaz, E Demirci - International Journal of Hydrogen Energy, 2023 - Elsevier
This paper presents an intelligent adaptive neuro-fuzzy inference (ANFIS)-based control
method for increasing the Fault Ride-Through (FRT) capability of hydrogen energy-based …

Research on ultra-short-term wind power prediction considering source relevance

Y Sun, Z Li, X Yu, B Li, M Yang - Ieee Access, 2020 - ieeexplore.ieee.org
Wind power forecasting, to a certain extent, will transform the random fluctuation of wind
power output into a known situation, which is one of the effective approaches to deal with …

A novel controllable crowbar based on fault type protection technique for DFIG wind energy conversion system using adaptive neuro-fuzzy inference system

O Noureldeen, I Hamdan - Protection and Control of Modern …, 2018 - ieeexplore.ieee.org
This paper proposes a novel controllable crowbar based on fault type (CBFT) protection
technique for doubly fed induction generator (DFIG) wind energy conversion system …

Modal shift evaluation and optimization for resonance mechanism investigation and mitigation of power systems integrated with FCWG

J Luo, S Bu, J Zhu, CY Chung - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
The integration of full converter-based wind power generation (FCWG, eg, permanent
magnet synchronous generator (PMSG)) not only introduces the PMSG oscillation modes …