DSTATCOM deploying CGBP based icosϕ neural network technique for power conditioning Article Swipe
Mrutyunjaya Mangaraj
,
Anup Kumar Panda
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1016/j.asej.2016.11.009
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1016/j.asej.2016.11.009
Present investigation focuses design & simulation study of a three phase three wire DSTATCOM deploying a conjugate gradient back propagation (CGBP) based icosϕ neural network technique. It is used for various tasks such as source current harmonic reduction, load balancing and power factor correction under various loading which further reduces the DC link voltage of the inverter. The proposed technique is implemented by mathematical analysis with suitable learning rate and updating weight using MATLAB/Simulink. It predicts the computation of fundamental weighting factor of active and reactive component of the load current for the generation of reference source current smoothly. It’s design capability is reflected under to prove the effectiveness of the DSTATCOM. The simulation waveforms are presented and verified using both MATLAB & real-time digital simulator (RTDS). It shows the better performance and maintains the power quality norm as per IEEE-519 by keeping THD of source current well below 5%. Keywords: CGBP based icosϕ neural network, DSTATCOM, MATLAB, RTDS
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.asej.2016.11.009
- OA Status
- gold
- Cited By
- 15
- References
- 24
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- OpenAlex ID
- https://openalex.org/W2553638198
All OpenAlex metadata
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https://openalex.org/W2553638198Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.asej.2016.11.009Digital Object Identifier
- Title
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DSTATCOM deploying CGBP based icosϕ neural network technique for power conditioningWork title
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articleOpenAlex work type
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enPrimary language
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2016Year of publication
- Publication date
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2016-11-18Full publication date if available
- Authors
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Mrutyunjaya Mangaraj, Anup Kumar PandaList of authors in order
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https://doi.org/10.1016/j.asej.2016.11.009Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.asej.2016.11.009Direct OA link when available
- Concepts
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Total harmonic distortion, MATLAB, Power factor, Computer science, Artificial neural network, AC power, Electronic engineering, Waveform, Control theory (sociology), Conjugate gradient method, Voltage, Engineering, Electrical engineering, Algorithm, Artificial intelligence, Control (management), Operating systemTop concepts (fields/topics) attached by OpenAlex
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15Total citation count in OpenAlex
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2025: 1, 2024: 4, 2023: 2, 2022: 2, 2021: 2Per-year citation counts (last 5 years)
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24Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.factor | 42, 81 |
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| abstract_inverted_index.DSTATCOM, | 156 |
| abstract_inverted_index.DSTATCOM. | 111 |
| abstract_inverted_index.Keywords: | 150 |
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| abstract_inverted_index.component | 86 |
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| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5062946573 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I16292982 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.6499999761581421 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.60888345 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |