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Temporally resolved and interpretable machine learning model of GPCR conformational transition. [PDF]
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2022 12th International Conference on Power and Energy Systems (ICPES), 2022
Probabilistic production simulation is a powerful tool for power system planning and operation analysis. With the development of multi-energy systems, it has become an important way for energy supply to meet various types of loads (electrical, heating ...
Runzhao Lu +3 more
exaly +4 more sources
Probabilistic production simulation is a powerful tool for power system planning and operation analysis. With the development of multi-energy systems, it has become an important way for energy supply to meet various types of loads (electrical, heating ...
Runzhao Lu +3 more
exaly +4 more sources
Studies on algorithms of power system probabilistic production simulation considering wind farms
2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2014There are some problems of the existing algorithms of the power system probabilistic production simulation, such as inaccurate description of wind power output and great quantity of computation. For the problems, a new probabilistic production simulation method based on chronological load curve will be proposed in this paper.
Jia Lei +4 more
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Probabilistic Production Simulation Method for Frequency Response Capacity Planning
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2), 2021In order to solve the problem of low frequency load shedding caused by the lack of high power of extra high voltage faults and the frequency stability of the grid due to the high penetration of renewable energy, it is an inevitable trend to develop ...
Litao Guo, Zifeng Li, Weidong Li
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An Analytical Model for Frequency Nadir Prediction Based on Probabilistic Production Simulation
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), 2022As the key parameter and decision basis for frequency monitoring, the frequency nadir after system disturbance needs to be quickly and accurately predicted.
Ming Niu +3 more
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Comparison of LOLE and EUE-Based Wind Power Capacity Credits by Probabilistic Production Simulation
Communications in Computer and Information Science, 2012To mitigate the global climate change and environmental issues, wind power generation is growing at a startling pace around the world. The wind power capacity credit can be used to measure the contribution of wind power resource to the capacity adequacy of a power system, thus plays an important role in development of wind power resources and expansion
Shaohua Zhang, Chen Zhao, Xue Li
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Comparison of Probabilistic Production Cost Simulation Methods
IEEE Power Engineering Review, 1989The authors present the results of an investigation of the relative computational speeds and solution qualities of six different probabilistic production cost simulation methods for power systems. The six methods are: the piecewise linear approximation (PLA), segmentation, equivalent energy function (EEF), cumulant, mixture of normal approximation ...
M. Lin, A.M. Breipohl, F.N. Lee
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The Probabilistic Production Simulation Incorporating the Correlation between PV Power and Loads
2018 International Conference on Power System Technology (POWERCON), 2018Photovoltaic (PV) is a crucial power source in future clean power system, which must be included in the system planning. But the correlation between variable PV power and loads is not involved in traditional planning method. This paper proposed a modified probabilistic production simulation (PPS) method considering the joint probability of PV output ...
Jiheng Jiang, Ying Qiao, Zongxiang Lu
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A new framework of probabilistic production simulation of power systems with wind energy resources
2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 2012The fossil energy crisis and environment concerns have brought a dramatic development of renewable energy resources such as wind energy resources and solar energy sources over the past decade. The high uncertainty of renewable energy resources renders the existing probabilistic production simulation approach less applicable.
Tianyu Ding +4 more
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