Research on distributed streaming parallel computing of large scale wind DFIGs from the perspective of Ecological Marxism
Extreme climate change is the major ecological crisis which mankind encounters at present. The core of coping with climate change is to reduce greenhouse gas emissions, among which is mainly carbon dioxide emissions from fossil energy combustion. Energy substitution of large-scale new energy power g...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-07-01
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| Series: | Energy Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722001676 |
| _version_ | 1828321864980627456 |
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| author | Xue He |
| author_facet | Xue He |
| author_sort | Xue He |
| collection | DOAJ |
| description | Extreme climate change is the major ecological crisis which mankind encounters at present. The core of coping with climate change is to reduce greenhouse gas emissions, among which is mainly carbon dioxide emissions from fossil energy combustion. Energy substitution of large-scale new energy power generation is an effective solution to the problems. How to simulate and calculate such a large number of wind power generations for planning or stability analysis is a technical challenge, especially the detailed research on the interactive characteristics for hundreds of models with IGBT converter. In this technical field, inspired by the decentralized and distributed ideas of Ecological Marxism theory, decoupling and grid division calculation is carried out for the electromagnetic transient model of a large number of DFIGs. Through the design and development of the data-driven large-scale parallel computing framework, multi-stage high-speed task pipelined parallel calculation is realized. It effectively solves the calculation difficulties in matrix dimension disaster caused by the number increase of wind turbines, theoretically breaks the ceiling effect of fine-grain simulation for large-scale wind power generations, and also waveforms comparison verifies the feasibility and correctness. |
| first_indexed | 2024-04-13T18:33:30Z |
| format | Article |
| id | doaj.art-b0416f196524424695e9f19ad54d363e |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-13T18:33:30Z |
| publishDate | 2022-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-b0416f196524424695e9f19ad54d363e2022-12-22T02:35:00ZengElsevierEnergy Reports2352-48472022-07-018304312Research on distributed streaming parallel computing of large scale wind DFIGs from the perspective of Ecological MarxismXue He0School of Marxism & Research Center for Cooperative Innovation of Socialist Theory with Chinese Characteristics in Beijing Universities, Beijing Foreign Studies University, Beijing 100089, ChinaExtreme climate change is the major ecological crisis which mankind encounters at present. The core of coping with climate change is to reduce greenhouse gas emissions, among which is mainly carbon dioxide emissions from fossil energy combustion. Energy substitution of large-scale new energy power generation is an effective solution to the problems. How to simulate and calculate such a large number of wind power generations for planning or stability analysis is a technical challenge, especially the detailed research on the interactive characteristics for hundreds of models with IGBT converter. In this technical field, inspired by the decentralized and distributed ideas of Ecological Marxism theory, decoupling and grid division calculation is carried out for the electromagnetic transient model of a large number of DFIGs. Through the design and development of the data-driven large-scale parallel computing framework, multi-stage high-speed task pipelined parallel calculation is realized. It effectively solves the calculation difficulties in matrix dimension disaster caused by the number increase of wind turbines, theoretically breaks the ceiling effect of fine-grain simulation for large-scale wind power generations, and also waveforms comparison verifies the feasibility and correctness.http://www.sciencedirect.com/science/article/pii/S2352484722001676Streaming parallel computingDistributed wind generationEcological Marxism |
| spellingShingle | Xue He Research on distributed streaming parallel computing of large scale wind DFIGs from the perspective of Ecological Marxism Energy Reports Streaming parallel computing Distributed wind generation Ecological Marxism |
| title | Research on distributed streaming parallel computing of large scale wind DFIGs from the perspective of Ecological Marxism |
| title_full | Research on distributed streaming parallel computing of large scale wind DFIGs from the perspective of Ecological Marxism |
| title_fullStr | Research on distributed streaming parallel computing of large scale wind DFIGs from the perspective of Ecological Marxism |
| title_full_unstemmed | Research on distributed streaming parallel computing of large scale wind DFIGs from the perspective of Ecological Marxism |
| title_short | Research on distributed streaming parallel computing of large scale wind DFIGs from the perspective of Ecological Marxism |
| title_sort | research on distributed streaming parallel computing of large scale wind dfigs from the perspective of ecological marxism |
| topic | Streaming parallel computing Distributed wind generation Ecological Marxism |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722001676 |
| work_keys_str_mv | AT xuehe researchondistributedstreamingparallelcomputingoflargescalewinddfigsfromtheperspectiveofecologicalmarxism |