NDLI: Data clustering based probabilistic optimal power flow in power systems

Content Provider	IET Digital Library
Author	Galvani, Sadjad Choogan, Mahmoud
Abstract	Ever increasing use of renewable energies beside other uncertain parameters in power systems makes it necessary to evaluate power system issues, probabilistically. One of the important studies in power systems operating is optimal power flow (OPF), which should be considered as probabilistic OPF (POPF). However, the Monte Carlo simulation (MCS) method can be efficiently used for handling any type of uncertainty but this method suffers from large calculation requirements and cannot be implemented in various studies. Especially, in evolutionary based optimization problems the use of MCS method is completely restricted. Data clustering is an alternative method which keeps the accuracy of the MCS method and requires very less calculation burden. In this study, data clustering is used for probabilistic assessment of power system in POPF problem. The proposed method is very fast, accurate and can easily handle any type of correlation between stochastic input variables. The correlated input variables are generated by the Cholesky decomposition method. The Genetic Algorithm (GA) is used as optimization tool. In order to demonstrate and validate the performance of the proposed method, IEEE 30- and 118-bus standard test systems are studied and the results are compared with a modified version of the two-point estimate method.
Starting Page	181
Ending Page	188
Page Count	8
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 2, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5832
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-09-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	118-bus Standard Test Systems Alternative Method Cholesky Decomposition Method Data Clustering Evolutionary Based Optimisation Problem Evolutionary Computation Genetic Algorithm Load Flow MCS Method Monte Carlo Method Monte Carlo Simulation Method Optimisation Technique Pattern Clustering Power Transmission, Distribution And Supply Probabilistic Assessment Probabilistic OPF Probabilistic Optimal Power Flow Probability Stochastic Linearised SCUC Two-point Estimate Method
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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