NDLI: Stochastic optimal transmission switching considering the correlated wind power

Content Provider	IET Digital Library
Author	Zhang, Heng Cheng, Haozhong Zhang, Shenxi
Abstract	Optimal transmission switching (OTS) is widely used in mitigating transmission congestion and reducing power losses. However, with large-scale renewable energy integration to the grid, making a decision for the randomness characteristic of renewable energy (e.g. wind and solar power) is complicated in OTS. In this study, a novel stochastic optimal power flow-based point estimation method (PEM) is presented to model the uncertainties of wind power and load in OTS. Polynomial normal transformation is introduced to handle the correlations between random variables, and percentile matching method is employed to obtain the coefficients of polynomial normal transformation, which can avoid the integral operation. Moreover, the expected value of power flow obtained by the PEM is applied to the presented model to control the line overload risk. Two indexes, namely, population sample mean and mean of population sample standard deviation, are proposed to investigate the effect of correlations on OTS strategies. The proposed model is finally transformed into a mixed-integer second-order cone programming to consider bus voltage and reactive power, and the modified IEEE RTS 24-bus system and IEEE 118 system are presented to test the model.
Starting Page	2664
Ending Page	2672
Page Count	9
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 13, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5043
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-04-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bus Voltage Correlated Wind Power Integral Operation Large-scale Renewable Energy Integration Load Load Flow Mitigating Transmission Congestion Novel Stochastic Optimal Power Flow-based Point Estimation Method Optimisation Optimisation Technique OTS Strategy Percentile Matching Method Polynomial Polynomial Normal Transformation Population Sample Mean Population Sample Standard Deviation Power Generation Planning Power System Economics Power System Managemen Power System Operation Power System Planning And Layout Power System Security Power Transmission Planning Power Transmission, Distribution And Supply Random Variables Randomness Characteristic Reactive Power Reducing Power Loss Reliability Solar Power Statistics Stochastic Linearised SCUC Stochastic Optimal Transmission Wind Power Plant
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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