An Improved OPP Problem Formulation for Distribution Grid Observability

Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizi...
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Autor*in:	Md Shafiullah [verfasserIn] M. A. Abido [verfasserIn] Md Ismail Hossain [verfasserIn] A. H. Mantawy [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	backtracking search algorithm (BSA) channel limits contingency measurement redundancy phasor measurement units (PMU) mixed integer linear programming (MILP) zero injection buses (ZIB)

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 11(2018), 11, p 3069
Übergeordnetes Werk:	volume:11 ; year:2018 ; number:11, p 3069

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en11113069

Katalog-ID:	DOAJ08498967X

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spelling	10.3390/en11113069 doi (DE-627)DOAJ08498967X (DE-599)DOAJb4bef4a6e9c44b73b017c601f1eb7618 DE-627 ger DE-627 rakwb eng Md Shafiullah verfasserin aut An Improved OPP Problem Formulation for Distribution Grid Observability 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results with the mixed integer linear programming (MILP)-based approach and the referenced works. The obtained results demonstrate the superiority of the proposed formulation and solution methodology compared to other methodologies. backtracking search algorithm (BSA) channel limits contingency measurement redundancy phasor measurement units (PMU) mixed integer linear programming (MILP) zero injection buses (ZIB) Technology T M. A. Abido verfasserin aut Md Ismail Hossain verfasserin aut A. H. Mantawy verfasserin aut In Energies MDPI AG, 2008 11(2018), 11, p 3069 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:11 year:2018 number:11, p 3069 https://doi.org/10.3390/en11113069 kostenfrei https://doaj.org/article/b4bef4a6e9c44b73b017c601f1eb7618 kostenfrei https://www.mdpi.com/1996-1073/11/11/3069 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 11, p 3069
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allfieldsGer	10.3390/en11113069 doi (DE-627)DOAJ08498967X (DE-599)DOAJb4bef4a6e9c44b73b017c601f1eb7618 DE-627 ger DE-627 rakwb eng Md Shafiullah verfasserin aut An Improved OPP Problem Formulation for Distribution Grid Observability 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results with the mixed integer linear programming (MILP)-based approach and the referenced works. The obtained results demonstrate the superiority of the proposed formulation and solution methodology compared to other methodologies. backtracking search algorithm (BSA) channel limits contingency measurement redundancy phasor measurement units (PMU) mixed integer linear programming (MILP) zero injection buses (ZIB) Technology T M. A. Abido verfasserin aut Md Ismail Hossain verfasserin aut A. H. Mantawy verfasserin aut In Energies MDPI AG, 2008 11(2018), 11, p 3069 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:11 year:2018 number:11, p 3069 https://doi.org/10.3390/en11113069 kostenfrei https://doaj.org/article/b4bef4a6e9c44b73b017c601f1eb7618 kostenfrei https://www.mdpi.com/1996-1073/11/11/3069 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 11, p 3069
allfieldsSound	10.3390/en11113069 doi (DE-627)DOAJ08498967X (DE-599)DOAJb4bef4a6e9c44b73b017c601f1eb7618 DE-627 ger DE-627 rakwb eng Md Shafiullah verfasserin aut An Improved OPP Problem Formulation for Distribution Grid Observability 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results with the mixed integer linear programming (MILP)-based approach and the referenced works. The obtained results demonstrate the superiority of the proposed formulation and solution methodology compared to other methodologies. backtracking search algorithm (BSA) channel limits contingency measurement redundancy phasor measurement units (PMU) mixed integer linear programming (MILP) zero injection buses (ZIB) Technology T M. A. Abido verfasserin aut Md Ismail Hossain verfasserin aut A. H. Mantawy verfasserin aut In Energies MDPI AG, 2008 11(2018), 11, p 3069 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:11 year:2018 number:11, p 3069 https://doi.org/10.3390/en11113069 kostenfrei https://doaj.org/article/b4bef4a6e9c44b73b017c601f1eb7618 kostenfrei https://www.mdpi.com/1996-1073/11/11/3069 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 11, p 3069
language	English
source	In Energies 11(2018), 11, p 3069 volume:11 year:2018 number:11, p 3069
sourceStr	In Energies 11(2018), 11, p 3069 volume:11 year:2018 number:11, p 3069
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topic_facet	backtracking search algorithm (BSA) channel limits contingency measurement redundancy phasor measurement units (PMU) mixed integer linear programming (MILP) zero injection buses (ZIB) Technology T
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authorswithroles_txt_mv	Md Shafiullah @@aut@@ M. A. Abido @@aut@@ Md Ismail Hossain @@aut@@ A. H. Mantawy @@aut@@
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spellingShingle	Md Shafiullah misc backtracking search algorithm (BSA) misc channel limits misc contingency misc measurement redundancy misc phasor measurement units (PMU) misc mixed integer linear programming (MILP) misc zero injection buses (ZIB) misc Technology misc T An Improved OPP Problem Formulation for Distribution Grid Observability
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topic_title	An Improved OPP Problem Formulation for Distribution Grid Observability backtracking search algorithm (BSA) channel limits contingency measurement redundancy phasor measurement units (PMU) mixed integer linear programming (MILP) zero injection buses (ZIB)
topic	misc backtracking search algorithm (BSA) misc channel limits misc contingency misc measurement redundancy misc phasor measurement units (PMU) misc mixed integer linear programming (MILP) misc zero injection buses (ZIB) misc Technology misc T
topic_unstemmed	misc backtracking search algorithm (BSA) misc channel limits misc contingency misc measurement redundancy misc phasor measurement units (PMU) misc mixed integer linear programming (MILP) misc zero injection buses (ZIB) misc Technology misc T
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title	An Improved OPP Problem Formulation for Distribution Grid Observability
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title_auth	An Improved OPP Problem Formulation for Distribution Grid Observability
abstract	Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results with the mixed integer linear programming (MILP)-based approach and the referenced works. The obtained results demonstrate the superiority of the proposed formulation and solution methodology compared to other methodologies.
abstractGer	Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results with the mixed integer linear programming (MILP)-based approach and the referenced works. The obtained results demonstrate the superiority of the proposed formulation and solution methodology compared to other methodologies.
abstract_unstemmed	Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results with the mixed integer linear programming (MILP)-based approach and the referenced works. The obtained results demonstrate the superiority of the proposed formulation and solution methodology compared to other methodologies.
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