Grid-supportive loads—a new approach to increasing renewable energy in power systems
This paper demonstrates the potential of inverter-based loads to support grid reliability
during power system transients thereby enabling reliable integration of renewable energy in …
during power system transients thereby enabling reliable integration of renewable energy in …
Wide-area composite load parameter identification based on multi-residual deep neural network
Accurate and practical load modeling plays a critical role in the power system studies
including stability, control, and protection. Recently, wide-area measurement systems …
including stability, control, and protection. Recently, wide-area measurement systems …
Design of recustomize finite impulse response filter using truncation based scalable rounding approximate multiplier and error reduced carry prediction approximate …
S Senthilkumar, V Samuthira Pandi… - Concurrency and …, 2023 - Wiley Online Library
Recustomize finite impulse response (RFIR) filter is designed to achieve lesser power
consume, cost, area, and higher speed of system operation. This is used to remove the …
consume, cost, area, and higher speed of system operation. This is used to remove the …
Design of all pass make over based capricious digital filter using eminent speed dual carry select adder and truncation and rounding approximate multiplier for image …
A design of all pass make over based capricious digital filter using eminent speed dual carry
select adder and truncation based scalable rounding approximate multiplier (APM‐CDF …
select adder and truncation based scalable rounding approximate multiplier (APM‐CDF …
A review of deep reinforcement learning applications in power system parameter estimation
Y Wang, B Chai, W Lu, X Zheng - … International Conference on …, 2021 - ieeexplore.ieee.org
New type of power system has become the emerging topics to meet the China's carbon
emission target at 2030 and 2060. Among many key technology innovations within the new …
emission target at 2030 and 2060. Among many key technology innovations within the new …
Graph Computing Applications In Unit Commitment Historical Data Management
Y Wang, F Zhou, H Zhu, S Liu, Z Tang… - … Power and Energy …, 2023 - ieeexplore.ieee.org
The development of new types of power systems poses several key challenges for super-
large-scale online analysis and optimization. These challenges include data merging …
large-scale online analysis and optimization. These challenges include data merging …
Advances in Power System Operation and Optimization
Y Lin - 2022 - scholar.smu.edu
The modern power system has witnessed an increasing penetration of distributed energy
resources and modern loads with variable frequency drives. The increasing complexity …
resources and modern loads with variable frequency drives. The increasing complexity …
Aggregated Load Uncertainty Analysis Through Unsupervised Learning
Y Wang, B Chai, S Liu, M Wei… - 2022 IEEE Transportation …, 2022 - ieeexplore.ieee.org
Climate changes in recent years have raised serious concerns for governmental, academic
and industrial communities. One critical mitigation strategy identified was to reduce the …
and industrial communities. One critical mitigation strategy identified was to reduce the …