Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks
This paper studies the problem of optimal phasor measurement unit (PMU) placement considering the constraints of full system observability and load loss. The relaying functions of metering devices, such as feeder terminal units (FTUs) and dual-use line relays (DULRs), are taken into account to satis...
Ausführliche Beschreibung
Autor*in: |
Zhi Wu [verfasserIn] Xiao Du [verfasserIn] Wei Gu [verfasserIn] Yafei Liu [verfasserIn] Ping Ling [verfasserIn] Jinsong Liu [verfasserIn] Chen Fang [verfasserIn] |
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E-Artikel |
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Englisch |
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2018 |
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In: IEEE Access - IEEE, 2014, 6(2018), Seite 33645-33653 |
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Übergeordnetes Werk: |
volume:6 ; year:2018 ; pages:33645-33653 |
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DOI / URN: |
10.1109/ACCESS.2018.2841891 |
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Katalog-ID: |
DOAJ057813434 |
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10.1109/ACCESS.2018.2841891 doi (DE-627)DOAJ057813434 (DE-599)DOAJb3f68319a3e14ee3846fb757d673d02d DE-627 ger DE-627 rakwb eng TK1-9971 Zhi Wu verfasserin aut Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper studies the problem of optimal phasor measurement unit (PMU) placement considering the constraints of full system observability and load loss. The relaying functions of metering devices, such as feeder terminal units (FTUs) and dual-use line relays (DULRs), are taken into account to satisfy the maximum load loss coefficient limit (MLCL) and guarantee the operation of distribution system after the single-branch outage. A mixed-integer linear programming (MILP) is formulated to find the minimal load loss under the given configuration and branch outage with relaying functions of DULRs and pre-existing FTUs. A PMU deployment formulation considering the presence of metering devices and distributed generations (DGs) is solved by the genetic algorithm together with MILP. Various configurations of network and scenarios with different settings of conventional measurements and DGs are simulated in two test cases. Results show that the optimal PMU placement is greatly affected by the pre-existing traditional measurements and DGs as well as MLCL. Distribution network phasor measurement unit system observability Electrical engineering. Electronics. Nuclear engineering Xiao Du verfasserin aut Wei Gu verfasserin aut Yafei Liu verfasserin aut Ping Ling verfasserin aut Jinsong Liu verfasserin aut Chen Fang verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 33645-33653 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:33645-33653 https://doi.org/10.1109/ACCESS.2018.2841891 kostenfrei https://doaj.org/article/b3f68319a3e14ee3846fb757d673d02d kostenfrei https://ieeexplore.ieee.org/document/8368201/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 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 6 2018 33645-33653 |
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10.1109/ACCESS.2018.2841891 doi (DE-627)DOAJ057813434 (DE-599)DOAJb3f68319a3e14ee3846fb757d673d02d DE-627 ger DE-627 rakwb eng TK1-9971 Zhi Wu verfasserin aut Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper studies the problem of optimal phasor measurement unit (PMU) placement considering the constraints of full system observability and load loss. The relaying functions of metering devices, such as feeder terminal units (FTUs) and dual-use line relays (DULRs), are taken into account to satisfy the maximum load loss coefficient limit (MLCL) and guarantee the operation of distribution system after the single-branch outage. A mixed-integer linear programming (MILP) is formulated to find the minimal load loss under the given configuration and branch outage with relaying functions of DULRs and pre-existing FTUs. A PMU deployment formulation considering the presence of metering devices and distributed generations (DGs) is solved by the genetic algorithm together with MILP. Various configurations of network and scenarios with different settings of conventional measurements and DGs are simulated in two test cases. Results show that the optimal PMU placement is greatly affected by the pre-existing traditional measurements and DGs as well as MLCL. Distribution network phasor measurement unit system observability Electrical engineering. Electronics. Nuclear engineering Xiao Du verfasserin aut Wei Gu verfasserin aut Yafei Liu verfasserin aut Ping Ling verfasserin aut Jinsong Liu verfasserin aut Chen Fang verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 33645-33653 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:33645-33653 https://doi.org/10.1109/ACCESS.2018.2841891 kostenfrei https://doaj.org/article/b3f68319a3e14ee3846fb757d673d02d kostenfrei https://ieeexplore.ieee.org/document/8368201/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 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 6 2018 33645-33653 |
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10.1109/ACCESS.2018.2841891 doi (DE-627)DOAJ057813434 (DE-599)DOAJb3f68319a3e14ee3846fb757d673d02d DE-627 ger DE-627 rakwb eng TK1-9971 Zhi Wu verfasserin aut Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper studies the problem of optimal phasor measurement unit (PMU) placement considering the constraints of full system observability and load loss. The relaying functions of metering devices, such as feeder terminal units (FTUs) and dual-use line relays (DULRs), are taken into account to satisfy the maximum load loss coefficient limit (MLCL) and guarantee the operation of distribution system after the single-branch outage. A mixed-integer linear programming (MILP) is formulated to find the minimal load loss under the given configuration and branch outage with relaying functions of DULRs and pre-existing FTUs. A PMU deployment formulation considering the presence of metering devices and distributed generations (DGs) is solved by the genetic algorithm together with MILP. Various configurations of network and scenarios with different settings of conventional measurements and DGs are simulated in two test cases. Results show that the optimal PMU placement is greatly affected by the pre-existing traditional measurements and DGs as well as MLCL. Distribution network phasor measurement unit system observability Electrical engineering. Electronics. Nuclear engineering Xiao Du verfasserin aut Wei Gu verfasserin aut Yafei Liu verfasserin aut Ping Ling verfasserin aut Jinsong Liu verfasserin aut Chen Fang verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 33645-33653 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:33645-33653 https://doi.org/10.1109/ACCESS.2018.2841891 kostenfrei https://doaj.org/article/b3f68319a3e14ee3846fb757d673d02d kostenfrei https://ieeexplore.ieee.org/document/8368201/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 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 6 2018 33645-33653 |
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10.1109/ACCESS.2018.2841891 doi (DE-627)DOAJ057813434 (DE-599)DOAJb3f68319a3e14ee3846fb757d673d02d DE-627 ger DE-627 rakwb eng TK1-9971 Zhi Wu verfasserin aut Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper studies the problem of optimal phasor measurement unit (PMU) placement considering the constraints of full system observability and load loss. The relaying functions of metering devices, such as feeder terminal units (FTUs) and dual-use line relays (DULRs), are taken into account to satisfy the maximum load loss coefficient limit (MLCL) and guarantee the operation of distribution system after the single-branch outage. A mixed-integer linear programming (MILP) is formulated to find the minimal load loss under the given configuration and branch outage with relaying functions of DULRs and pre-existing FTUs. A PMU deployment formulation considering the presence of metering devices and distributed generations (DGs) is solved by the genetic algorithm together with MILP. Various configurations of network and scenarios with different settings of conventional measurements and DGs are simulated in two test cases. Results show that the optimal PMU placement is greatly affected by the pre-existing traditional measurements and DGs as well as MLCL. Distribution network phasor measurement unit system observability Electrical engineering. Electronics. Nuclear engineering Xiao Du verfasserin aut Wei Gu verfasserin aut Yafei Liu verfasserin aut Ping Ling verfasserin aut Jinsong Liu verfasserin aut Chen Fang verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 33645-33653 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:33645-33653 https://doi.org/10.1109/ACCESS.2018.2841891 kostenfrei https://doaj.org/article/b3f68319a3e14ee3846fb757d673d02d kostenfrei https://ieeexplore.ieee.org/document/8368201/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 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 6 2018 33645-33653 |
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Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks |
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This paper studies the problem of optimal phasor measurement unit (PMU) placement considering the constraints of full system observability and load loss. The relaying functions of metering devices, such as feeder terminal units (FTUs) and dual-use line relays (DULRs), are taken into account to satisfy the maximum load loss coefficient limit (MLCL) and guarantee the operation of distribution system after the single-branch outage. A mixed-integer linear programming (MILP) is formulated to find the minimal load loss under the given configuration and branch outage with relaying functions of DULRs and pre-existing FTUs. A PMU deployment formulation considering the presence of metering devices and distributed generations (DGs) is solved by the genetic algorithm together with MILP. Various configurations of network and scenarios with different settings of conventional measurements and DGs are simulated in two test cases. Results show that the optimal PMU placement is greatly affected by the pre-existing traditional measurements and DGs as well as MLCL. |
abstractGer |
This paper studies the problem of optimal phasor measurement unit (PMU) placement considering the constraints of full system observability and load loss. The relaying functions of metering devices, such as feeder terminal units (FTUs) and dual-use line relays (DULRs), are taken into account to satisfy the maximum load loss coefficient limit (MLCL) and guarantee the operation of distribution system after the single-branch outage. A mixed-integer linear programming (MILP) is formulated to find the minimal load loss under the given configuration and branch outage with relaying functions of DULRs and pre-existing FTUs. A PMU deployment formulation considering the presence of metering devices and distributed generations (DGs) is solved by the genetic algorithm together with MILP. Various configurations of network and scenarios with different settings of conventional measurements and DGs are simulated in two test cases. Results show that the optimal PMU placement is greatly affected by the pre-existing traditional measurements and DGs as well as MLCL. |
abstract_unstemmed |
This paper studies the problem of optimal phasor measurement unit (PMU) placement considering the constraints of full system observability and load loss. The relaying functions of metering devices, such as feeder terminal units (FTUs) and dual-use line relays (DULRs), are taken into account to satisfy the maximum load loss coefficient limit (MLCL) and guarantee the operation of distribution system after the single-branch outage. A mixed-integer linear programming (MILP) is formulated to find the minimal load loss under the given configuration and branch outage with relaying functions of DULRs and pre-existing FTUs. A PMU deployment formulation considering the presence of metering devices and distributed generations (DGs) is solved by the genetic algorithm together with MILP. Various configurations of network and scenarios with different settings of conventional measurements and DGs are simulated in two test cases. Results show that the optimal PMU placement is greatly affected by the pre-existing traditional measurements and DGs as well as MLCL. |
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Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks |
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|
score |
7.401552 |