A piecewise-affine decision rule based stochastic AC optimal power flow approach

This paper proposes a piecewise-affine decision rule based stochastic optimal power flow approach for reserve dispatch of generators under uncertain demand and renewable energy source generation. The ambiguity set comprises a predefined set of scenarios to capture the plausible uncertain realization...

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Main Authors: Isuru, Mohasha, Foo, Eddy Yi Shyh, Gooi, Hoay Beng
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/150949
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1509492021-06-15T10:02:09Z A piecewise-affine decision rule based stochastic AC optimal power flow approach Isuru, Mohasha Foo, Eddy Yi Shyh Gooi, Hoay Beng School of Electrical and Electronic Engineering 2020 IEEE Power & Energy Society General Meeting (PESGM) Centre for system intelligence and efficiency (EXQUISITUS) Engineering::Electrical and electronic engineering::Electric power AC Optimal Power Flow Piecewise-affine Decision Rule This paper proposes a piecewise-affine decision rule based stochastic optimal power flow approach for reserve dispatch of generators under uncertain demand and renewable energy source generation. The ambiguity set comprises a predefined set of scenarios to capture the plausible uncertain realizations. The objective is to minimize the expected generation cost under those scenarios. A piecewise-affine decision rule is established with auxiliary control parameters to compute the optimal participation of generators depending on the amounts of reserve requirements. Such a reserve dispatch rule would be less conservative compared to the traditional affine decision rule. The results illustrate that the proposed piecewise-affine generation redispatch rule improves the optimality of operation via efficient resource utilization for reserve support. Ministry of Education (MOE) Accepted version Mohasha Isuru and Eddy Y. S. Foo acknowledge the support of the Singapore Ministry of Education Academic Research Fund Tier 1 Grant (MOE2018-T1-002-093). 2021-06-15T09:48:32Z 2021-06-15T09:48:32Z 2020 Conference Paper Isuru, M., Foo, E. Y. S. & Gooi, H. B. (2020). A piecewise-affine decision rule based stochastic AC optimal power flow approach. 2020 IEEE Power & Energy Society General Meeting (PESGM), 2020-August, 1-5. https://dx.doi.org/10.1109/PESGM41954.2020.9281413 9781728155081 https://hdl.handle.net/10356/150949 10.1109/PESGM41954.2020.9281413 2-s2.0-85099167378 2020-August 1 5 en 2018-T1-002-093 © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/PESGM41954.2020.9281413 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Electric power
AC Optimal Power Flow
Piecewise-affine Decision Rule
spellingShingle Engineering::Electrical and electronic engineering::Electric power
AC Optimal Power Flow
Piecewise-affine Decision Rule
Isuru, Mohasha
Foo, Eddy Yi Shyh
Gooi, Hoay Beng
A piecewise-affine decision rule based stochastic AC optimal power flow approach
description This paper proposes a piecewise-affine decision rule based stochastic optimal power flow approach for reserve dispatch of generators under uncertain demand and renewable energy source generation. The ambiguity set comprises a predefined set of scenarios to capture the plausible uncertain realizations. The objective is to minimize the expected generation cost under those scenarios. A piecewise-affine decision rule is established with auxiliary control parameters to compute the optimal participation of generators depending on the amounts of reserve requirements. Such a reserve dispatch rule would be less conservative compared to the traditional affine decision rule. The results illustrate that the proposed piecewise-affine generation redispatch rule improves the optimality of operation via efficient resource utilization for reserve support.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Isuru, Mohasha
Foo, Eddy Yi Shyh
Gooi, Hoay Beng
format Conference or Workshop Item
author Isuru, Mohasha
Foo, Eddy Yi Shyh
Gooi, Hoay Beng
author_sort Isuru, Mohasha
title A piecewise-affine decision rule based stochastic AC optimal power flow approach
title_short A piecewise-affine decision rule based stochastic AC optimal power flow approach
title_full A piecewise-affine decision rule based stochastic AC optimal power flow approach
title_fullStr A piecewise-affine decision rule based stochastic AC optimal power flow approach
title_full_unstemmed A piecewise-affine decision rule based stochastic AC optimal power flow approach
title_sort piecewise-affine decision rule based stochastic ac optimal power flow approach
publishDate 2021
url https://hdl.handle.net/10356/150949
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