New approach for the probabilistic power flow of distribution systems based on data clustering
Author:
Affiliation:
1. Department of Electrical EngineeringUrmia BranchIslamic Azad UniversityUrmiaIran
2. Department of Power EngineeringFaculty of Electrical and Computer EngineeringUrmia UniversityUrmiaIran
Publisher
Institution of Engineering and Technology (IET)
Subject
Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2018.6264
Reference37 articles.
1. Data‐driven probabilistic power flow analysis for a distribution system with renewable energy sources using Monte Carlo simulation;Constante‐Flores G.E.;IEEE Trans. Ind. Appl.,2019
2. Probabilistic Optimal Power Flow in Correlated Hybrid Wind–Photovoltaic Power Systems
3. Probabilistic Power Flow Analysis Based on the Stochastic Response Surface Method
4. Probabilistic power flow of correlated hybrid wind‐photovoltaic power systems
5. Probabilistic power flow calculation using the Johnson system and Sobol's quasi‐random numbers
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