Two-stage restoration strategies for power systems considering coordinated dispatch between plug-in electric vehicles and wind power units
With increased penetration of wind power units and plug-in electric vehicles (PEVs), their control flexibility and quick response potentially provide an alternative way to fulfil the need for rapid restoration. A two-stage restoration strategy optimisation approach is presented with the coordination...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Wiley
2019-12-01
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Series: | IET Smart Grid |
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Online Access: | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0167 |
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author | Can Zhang Huayi Zhang Shengyuan Liu Zhenzhi Lin Zhenzhi Lin Fushuan Wen Fushuan Wen |
author_facet | Can Zhang Huayi Zhang Shengyuan Liu Zhenzhi Lin Zhenzhi Lin Fushuan Wen Fushuan Wen |
author_sort | Can Zhang |
collection | DOAJ |
description | With increased penetration of wind power units and plug-in electric vehicles (PEVs), their control flexibility and quick response potentially provide an alternative way to fulfil the need for rapid restoration. A two-stage restoration strategy optimisation approach is presented with the coordination of PEVs and wind power units considered. The optimisation model is to maximise the restored generation capability and minimise the fluctuation of cranking power. In the first stage, the aim is to provide reliable cranking power remotely for black start generators through coordinated dispatch of PEVs and wind power units and quadratic programming (QP) models for dispatching electric vehicle aggregators (EVAs) subject to wind power fluctuations, and for dispatching numerous PEVs within each EVA are developed. To ensure close coordination between these two dispatching procedures, bi-level programming-based hierarchical decomposition approach is used to solve the QP models in an iterative way. In the second stage, an integer linear programming model is proposed to optimise the restoration schedules through an effective transformation of the original non-linear formulation, so as to reduce the computing time and effort significantly. Finally, a case study is presented to demonstrate the effectiveness and essential features of the developed models and methods. |
first_indexed | 2024-12-17T00:16:44Z |
format | Article |
id | doaj.art-99789b05ac71477eb58b9536579d2804 |
institution | Directory Open Access Journal |
issn | 2515-2947 |
language | English |
last_indexed | 2024-12-17T00:16:44Z |
publishDate | 2019-12-01 |
publisher | Wiley |
record_format | Article |
series | IET Smart Grid |
spelling | doaj.art-99789b05ac71477eb58b9536579d28042022-12-21T22:10:41ZengWileyIET Smart Grid2515-29472019-12-0110.1049/iet-stg.2019.0167IET-STG.2019.0167Two-stage restoration strategies for power systems considering coordinated dispatch between plug-in electric vehicles and wind power unitsCan Zhang0Huayi Zhang1Shengyuan Liu2Zhenzhi Lin3Zhenzhi Lin4Fushuan Wen5Fushuan Wen6State Grid Nanjing Power Supply CompanyState Grid Nanjing Power Supply CompanyCollege of Electrical Engineering, Zhejiang UniversityCollege of Electrical Engineering, Zhejiang UniversityCollege of Electrical Engineering, Zhejiang UniversityCollege of Electrical Engineering, Zhejiang UniversityCollege of Electrical Engineering, Zhejiang UniversityWith increased penetration of wind power units and plug-in electric vehicles (PEVs), their control flexibility and quick response potentially provide an alternative way to fulfil the need for rapid restoration. A two-stage restoration strategy optimisation approach is presented with the coordination of PEVs and wind power units considered. The optimisation model is to maximise the restored generation capability and minimise the fluctuation of cranking power. In the first stage, the aim is to provide reliable cranking power remotely for black start generators through coordinated dispatch of PEVs and wind power units and quadratic programming (QP) models for dispatching electric vehicle aggregators (EVAs) subject to wind power fluctuations, and for dispatching numerous PEVs within each EVA are developed. To ensure close coordination between these two dispatching procedures, bi-level programming-based hierarchical decomposition approach is used to solve the QP models in an iterative way. In the second stage, an integer linear programming model is proposed to optimise the restoration schedules through an effective transformation of the original non-linear formulation, so as to reduce the computing time and effort significantly. Finally, a case study is presented to demonstrate the effectiveness and essential features of the developed models and methods.https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0167power system restorationquadratic programminginteger programminglinear programmingelectric vehiclespower generation economicsbattery powered vehicleswind power plantsoptimisationschedulingpower generation dispatchelectric vehicle aggregatorspower fluctuationsstage restoration strategiespower systemscoordinated dispatchplug-in electric vehicleswind power unitstwo-stage restoration strategy optimisation approachrestored generation capabilityminimisereliable cranking power |
spellingShingle | Can Zhang Huayi Zhang Shengyuan Liu Zhenzhi Lin Zhenzhi Lin Fushuan Wen Fushuan Wen Two-stage restoration strategies for power systems considering coordinated dispatch between plug-in electric vehicles and wind power units IET Smart Grid power system restoration quadratic programming integer programming linear programming electric vehicles power generation economics battery powered vehicles wind power plants optimisation scheduling power generation dispatch electric vehicle aggregators power fluctuations stage restoration strategies power systems coordinated dispatch plug-in electric vehicles wind power units two-stage restoration strategy optimisation approach restored generation capability minimise reliable cranking power |
title | Two-stage restoration strategies for power systems considering coordinated dispatch between plug-in electric vehicles and wind power units |
title_full | Two-stage restoration strategies for power systems considering coordinated dispatch between plug-in electric vehicles and wind power units |
title_fullStr | Two-stage restoration strategies for power systems considering coordinated dispatch between plug-in electric vehicles and wind power units |
title_full_unstemmed | Two-stage restoration strategies for power systems considering coordinated dispatch between plug-in electric vehicles and wind power units |
title_short | Two-stage restoration strategies for power systems considering coordinated dispatch between plug-in electric vehicles and wind power units |
title_sort | two stage restoration strategies for power systems considering coordinated dispatch between plug in electric vehicles and wind power units |
topic | power system restoration quadratic programming integer programming linear programming electric vehicles power generation economics battery powered vehicles wind power plants optimisation scheduling power generation dispatch electric vehicle aggregators power fluctuations stage restoration strategies power systems coordinated dispatch plug-in electric vehicles wind power units two-stage restoration strategy optimisation approach restored generation capability minimise reliable cranking power |
url | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0167 |
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