A spatiotemporal probabilistic model‐based temperature‐augmented probabilistic load flow considering PV generations-Reference-Cited by-同舟云学术

A spatiotemporal probabilistic model‐based temperature‐augmented probabilistic load flow considering PV generations

Published:2019-01-16 Issue:5 Volume:29 Page:e2819
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Prusty B Rajanarayan¹^ORCID,Jena Debashisha¹

Affiliation:

1. Department of EEENational Institute of Technology Karnataka Mangalore India

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.2819

Reference30 articles.

1. FanM.Probabilistic power flow studies to examine the influence of photovoltaic generation on transmission system reliability Ph.D. dissertation Arizona State University Department of Electrical computer and energy engineering Tempe AZ April 2012.

2. LeDD.Impact of wind power penetration on power system security by a probabilistic approach Ph.D. dissertation Politecnico di Milano Department of Energy Milano Italy 2013.

3. Probabilistic Load Flow Computation Using the Method of Combined Cumulants and Gram-Charlier Expansion

4. Probabilistic Power Flow Studies for Transmission Systems With Photovoltaic Generation Using Cumulants

5. A Sensitivity Matrix-Based Temperature-Augmented Probabilistic Load Flow Study

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Uncertainty Management in Utility Grid Considering PV Generation: An Operational Planner's Perspective;2023 5th International Conference on Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE);2023-06-15

2. Load flow investigations for regionalized islanded microgrid considering frequency regulation with high renewable penetration;Electric Power Systems Research;2023-01

3. Sensitivity Analysis of Stationarity Tests’ Outcome to Time Series Facets and Test Parameters;Mathematical Problems in Engineering;2022-10-07

4. Selection of Stationarity Tests for Time Series Forecasting Using Reliability Analysis;Mathematical Problems in Engineering;2022-05-27

5. A k ‐ nearest neighbor‐based averaging model for probabilistic PV generation forecasting;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2022-01-04