NDLI: Equivalent model considering frequency characteristics and renewable uncertainties for probabilistic power flow

Content Provider	IET Digital Library
Author	Yu, Juan Lin, Wei Kamel, Salah Li, Wenyuan Zhang, Lin
Abstract	The data is not always shared among sub-networks due to concerns about information privacy or difficulties in synchronous information exchange. It is difficult or even impossible to obtain the probabilistic power flow (PPF) by the centralised analysis. In this paper, an equivalent model considering static power–frequency characteristics (SPFCs) and renewable uncertainties is proposed. In this model, SPFCs of equivalent loads and generators are derived to retain SPFCs of original external loads and generators, respectively. In addition, probabilistic characteristics and correlations of equivalent loads are formulated based on Cholesky decomposition to preserve original external renewable uncertainties. The proposed model is further applied to PPF and then PPF can be solved via Monte Carlo simulation method, which makes that the PPF results can be obtained when the detailed data of the original external network cannot be shared. Owing to efficiently preserving the external SPFCs and renewable uncertainties in the proposed equivalent model, the accuracy of PPF results can be guaranteed. Simulation results of IEEE 14-bus and IEEE-118 bus systems demonstrate the effectiveness and superiority of the proposed equivalent model and its applications to PPF, compared with existing well known equivalent models and their applications to PPF.
Starting Page	5939
Ending Page	5948
Page Count	10
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 22, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/22
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5730
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-09-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cholesky Decomposition Data Privacy Energy ReSource Equivalent Load Equivalent Model IEEE 14-bus Test System IEEE-118 Bus System Information Privacy Load Flow Monte Carlo Method Monte Carlo Simulation Method Power System Protection Power System Security Probabilistic Characteristic Probabilistic Power Flow Probability Renewable Energy Source Renewable Uncertainties SPPF Static Power-frequency Characteristic Synchronous Information Exchange
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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