Optimal PMU placement for power system observability using BICA, considering measurement redundancy
• The binary mode of ICA is introduced for solving optimal PMU placement problem. • The multi-stage objective function is considered in order to maximize measurement redundancy. • A new observability rule is developed. • PMU placement problem is solved in different contingency modes.
Gespeichert in:
| Autor*in: |
Mahari, Arash [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Umfang: |
8 |
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| Übergeordnetes Werk: |
Enthalten in: MEALPY: An open-source library for latest meta-heuristic algorithms in Python - Van Thieu, Nguyen ELSEVIER, 2023, an international journal devoted to research and new applications in generation, transmission, distribution and utilization of electric power, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:103 ; year:2013 ; pages:78-85 ; extent:8 |
| Links: |
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| DOI / URN: |
10.1016/j.epsr.2013.04.013 |
|---|
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ELV021967881 |
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10.1016/j.epsr.2013.04.013 doi GBVA2013012000023.pica (DE-627)ELV021967881 (ELSEVIER)S0378-7796(13)00117-X DE-627 ger DE-627 rakwb eng 620 620 DE-600 004 VZ 54.30 bkl Mahari, Arash verfasserin aut Optimal PMU placement for power system observability using BICA, considering measurement redundancy 2013 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The binary mode of ICA is introduced for solving optimal PMU placement problem. • The multi-stage objective function is considered in order to maximize measurement redundancy. • A new observability rule is developed. • PMU placement problem is solved in different contingency modes. Phasor Measurement Units (PMUs) Elsevier Optimal PMU placement Elsevier Observability Elsevier Optimization Elsevier Seyedi, Heresh oth Enthalten in Elsevier Science Van Thieu, Nguyen ELSEVIER MEALPY: An open-source library for latest meta-heuristic algorithms in Python 2023 an international journal devoted to research and new applications in generation, transmission, distribution and utilization of electric power Amsterdam [u.a.] (DE-627)ELV009857966 volume:103 year:2013 pages:78-85 extent:8 https://doi.org/10.1016/j.epsr.2013.04.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.30 Systemarchitektur: Allgemeines Informatik VZ AR 103 2013 78-85 8 045F 620 |
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10.1016/j.epsr.2013.04.013 doi GBVA2013012000023.pica (DE-627)ELV021967881 (ELSEVIER)S0378-7796(13)00117-X DE-627 ger DE-627 rakwb eng 620 620 DE-600 004 VZ 54.30 bkl Mahari, Arash verfasserin aut Optimal PMU placement for power system observability using BICA, considering measurement redundancy 2013 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The binary mode of ICA is introduced for solving optimal PMU placement problem. • The multi-stage objective function is considered in order to maximize measurement redundancy. • A new observability rule is developed. • PMU placement problem is solved in different contingency modes. Phasor Measurement Units (PMUs) Elsevier Optimal PMU placement Elsevier Observability Elsevier Optimization Elsevier Seyedi, Heresh oth Enthalten in Elsevier Science Van Thieu, Nguyen ELSEVIER MEALPY: An open-source library for latest meta-heuristic algorithms in Python 2023 an international journal devoted to research and new applications in generation, transmission, distribution and utilization of electric power Amsterdam [u.a.] (DE-627)ELV009857966 volume:103 year:2013 pages:78-85 extent:8 https://doi.org/10.1016/j.epsr.2013.04.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.30 Systemarchitektur: Allgemeines Informatik VZ AR 103 2013 78-85 8 045F 620 |
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Optimal PMU placement for power system observability using BICA, considering measurement redundancy |
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modes.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Phasor Measurement Units (PMUs)</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Optimal PMU placement</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Observability</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Optimization</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Seyedi, Heresh</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Van Thieu, Nguyen ELSEVIER</subfield><subfield code="t">MEALPY: An open-source library for latest meta-heuristic algorithms in Python</subfield><subfield code="d">2023</subfield><subfield code="d">an international journal devoted to research and new applications in generation, transmission, distribution and utilization of electric power</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV009857966</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:103</subfield><subfield code="g">year:2013</subfield><subfield code="g">pages:78-85</subfield><subfield code="g">extent:8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.epsr.2013.04.013</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" 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