Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph

Chunhua Qiu; Shaoyun Ge; Ting Yang; Jun Wei; Guoxing Xiang

doi:doi:10.11648/j.ajee.20190702.12

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Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph

Chunhua Qiu, Shaoyun Ge, Ting Yang, Jun Wei, Guoxing Xiang

Published in American Journal of Energy Engineering (Volume 7, Issue 2)

Received: 5 June 2019 Accepted: 29 June 2019 Published: 10 July 2019

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Abstract

Nowadays, the energy structure is gradually changing to clean power generation. Clean energy mainly includes renewable energy and part of non-renewable energy. Non-renewable energy is depleting day by day, showing a shrinking trend. Renewable energy is not affected by energy shortage, and is the focus of future development. How to ensure the sustainable and healthy development of clean energy, it is necessary to adjust the existing power generation energy structure scientifically and rationally. In this paper, the theory of hypergraph is introduced to cluster the optimal combination information of clean energy, and a hypergraph model of power generation energy structure adjustment is established. The problem of replacing fossil energy in power generation energy consumption with clean energy is solved as the original objective. By mapping the generation energy structure adjustment with hypergraph, the problem of generation energy structure adjustment is transformed into the problem of solving hypergraph path. By using the two-point hyperpath algorithm, an optimal path for the development of clean power generation, reducing the proportion of fossil energy power generation, and gradually converting to clean energy is obtained. The application of hypergraph algorithm in the structural adjustment of power generation is of great significance to promote the diversification of power generation energy, especially in the clean development, low-carbon development and green development of the power industry.

Published in	American Journal of Energy Engineering (Volume 7, Issue 2)
DOI	10.11648/j.ajee.20190702.12
Page(s)	49-54
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Hyper Graph, Power Generation Energy, Restructuring, Algorithm

References

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APA Style

Chunhua Qiu, Shaoyun Ge, Ting Yang, Jun Wei, Guoxing Xiang. (2019). Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph. American Journal of Energy Engineering, 7(2), 49-54. https://doi.org/10.11648/j.ajee.20190702.12

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ACS Style

Chunhua Qiu; Shaoyun Ge; Ting Yang; Jun Wei; Guoxing Xiang. Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph. Am. J. Energy Eng. 2019, 7(2), 49-54. doi: 10.11648/j.ajee.20190702.12

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AMA Style

Chunhua Qiu, Shaoyun Ge, Ting Yang, Jun Wei, Guoxing Xiang. Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph. Am J Energy Eng. 2019;7(2):49-54. doi: 10.11648/j.ajee.20190702.12

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@article{10.11648/j.ajee.20190702.12,
  author = {Chunhua Qiu and Shaoyun Ge and Ting Yang and Jun Wei and Guoxing Xiang},
  title = {Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph},
  journal = {American Journal of Energy Engineering},
  volume = {7},
  number = {2},
  pages = {49-54},
  doi = {10.11648/j.ajee.20190702.12},
  url = {https://doi.org/10.11648/j.ajee.20190702.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajee.20190702.12},
  abstract = {Nowadays, the energy structure is gradually changing to clean power generation. Clean energy mainly includes renewable energy and part of non-renewable energy. Non-renewable energy is depleting day by day, showing a shrinking trend. Renewable energy is not affected by energy shortage, and is the focus of future development. How to ensure the sustainable and healthy development of clean energy, it is necessary to adjust the existing power generation energy structure scientifically and rationally. In this paper, the theory of hypergraph is introduced to cluster the optimal combination information of clean energy, and a hypergraph model of power generation energy structure adjustment is established. The problem of replacing fossil energy in power generation energy consumption with clean energy is solved as the original objective. By mapping the generation energy structure adjustment with hypergraph, the problem of generation energy structure adjustment is transformed into the problem of solving hypergraph path. By using the two-point hyperpath algorithm, an optimal path for the development of clean power generation, reducing the proportion of fossil energy power generation, and gradually converting to clean energy is obtained. The application of hypergraph algorithm in the structural adjustment of power generation is of great significance to promote the diversification of power generation energy, especially in the clean development, low-carbon development and green development of the power industry.},
 year = {2019}
}

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TY  - JOUR
T1  - Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph
AU  - Chunhua Qiu
AU  - Shaoyun Ge
AU  - Ting Yang
AU  - Jun Wei
AU  - Guoxing Xiang
Y1  - 2019/07/10
PY  - 2019
N1  - https://doi.org/10.11648/j.ajee.20190702.12
DO  - 10.11648/j.ajee.20190702.12
T2  - American Journal of Energy Engineering
JF  - American Journal of Energy Engineering
JO  - American Journal of Energy Engineering
SP  - 49
EP  - 54
PB  - Science Publishing Group
SN  - 2329-163X
UR  - https://doi.org/10.11648/j.ajee.20190702.12
AB  - Nowadays, the energy structure is gradually changing to clean power generation. Clean energy mainly includes renewable energy and part of non-renewable energy. Non-renewable energy is depleting day by day, showing a shrinking trend. Renewable energy is not affected by energy shortage, and is the focus of future development. How to ensure the sustainable and healthy development of clean energy, it is necessary to adjust the existing power generation energy structure scientifically and rationally. In this paper, the theory of hypergraph is introduced to cluster the optimal combination information of clean energy, and a hypergraph model of power generation energy structure adjustment is established. The problem of replacing fossil energy in power generation energy consumption with clean energy is solved as the original objective. By mapping the generation energy structure adjustment with hypergraph, the problem of generation energy structure adjustment is transformed into the problem of solving hypergraph path. By using the two-point hyperpath algorithm, an optimal path for the development of clean power generation, reducing the proportion of fossil energy power generation, and gradually converting to clean energy is obtained. The application of hypergraph algorithm in the structural adjustment of power generation is of great significance to promote the diversification of power generation energy, especially in the clean development, low-carbon development and green development of the power industry.
VL  - 7
IS  - 2
ER  -

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Author Information

Chunhua Qiu

Department of Electrical Engineering, Tianjin University, Tianjin, China
Shaoyun Ge

Department of Electrical Engineering, Tianjin University, Tianjin, China
Ting Yang

Department of Electrical Engineering, Tianjin University, Tianjin, China
Jun Wei

Mining Department, Guizhou University, Guiyang, China
Guoxing Xiang

Department of Hydropower Engineering, Wuhan University, Wuhan, China

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Plain Text BibTeX RIS

APA Style

Chunhua Qiu, Shaoyun Ge, Ting Yang, Jun Wei, Guoxing Xiang. (2019). Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph. American Journal of Energy Engineering, 7(2), 49-54. https://doi.org/10.11648/j.ajee.20190702.12

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ACS Style

Chunhua Qiu; Shaoyun Ge; Ting Yang; Jun Wei; Guoxing Xiang. Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph. Am. J. Energy Eng. 2019, 7(2), 49-54. doi: 10.11648/j.ajee.20190702.12

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AMA Style

Chunhua Qiu, Shaoyun Ge, Ting Yang, Jun Wei, Guoxing Xiang. Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph. Am J Energy Eng. 2019;7(2):49-54. doi: 10.11648/j.ajee.20190702.12

Copy | Download

@article{10.11648/j.ajee.20190702.12,
  author = {Chunhua Qiu and Shaoyun Ge and Ting Yang and Jun Wei and Guoxing Xiang},
  title = {Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph},
  journal = {American Journal of Energy Engineering},
  volume = {7},
  number = {2},
  pages = {49-54},
  doi = {10.11648/j.ajee.20190702.12},
  url = {https://doi.org/10.11648/j.ajee.20190702.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajee.20190702.12},
  abstract = {Nowadays, the energy structure is gradually changing to clean power generation. Clean energy mainly includes renewable energy and part of non-renewable energy. Non-renewable energy is depleting day by day, showing a shrinking trend. Renewable energy is not affected by energy shortage, and is the focus of future development. How to ensure the sustainable and healthy development of clean energy, it is necessary to adjust the existing power generation energy structure scientifically and rationally. In this paper, the theory of hypergraph is introduced to cluster the optimal combination information of clean energy, and a hypergraph model of power generation energy structure adjustment is established. The problem of replacing fossil energy in power generation energy consumption with clean energy is solved as the original objective. By mapping the generation energy structure adjustment with hypergraph, the problem of generation energy structure adjustment is transformed into the problem of solving hypergraph path. By using the two-point hyperpath algorithm, an optimal path for the development of clean power generation, reducing the proportion of fossil energy power generation, and gradually converting to clean energy is obtained. The application of hypergraph algorithm in the structural adjustment of power generation is of great significance to promote the diversification of power generation energy, especially in the clean development, low-carbon development and green development of the power industry.},
 year = {2019}
}

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TY  - JOUR
T1  - Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph
AU  - Chunhua Qiu
AU  - Shaoyun Ge
AU  - Ting Yang
AU  - Jun Wei
AU  - Guoxing Xiang
Y1  - 2019/07/10
PY  - 2019
N1  - https://doi.org/10.11648/j.ajee.20190702.12
DO  - 10.11648/j.ajee.20190702.12
T2  - American Journal of Energy Engineering
JF  - American Journal of Energy Engineering
JO  - American Journal of Energy Engineering
SP  - 49
EP  - 54
PB  - Science Publishing Group
SN  - 2329-163X
UR  - https://doi.org/10.11648/j.ajee.20190702.12
AB  - Nowadays, the energy structure is gradually changing to clean power generation. Clean energy mainly includes renewable energy and part of non-renewable energy. Non-renewable energy is depleting day by day, showing a shrinking trend. Renewable energy is not affected by energy shortage, and is the focus of future development. How to ensure the sustainable and healthy development of clean energy, it is necessary to adjust the existing power generation energy structure scientifically and rationally. In this paper, the theory of hypergraph is introduced to cluster the optimal combination information of clean energy, and a hypergraph model of power generation energy structure adjustment is established. The problem of replacing fossil energy in power generation energy consumption with clean energy is solved as the original objective. By mapping the generation energy structure adjustment with hypergraph, the problem of generation energy structure adjustment is transformed into the problem of solving hypergraph path. By using the two-point hyperpath algorithm, an optimal path for the development of clean power generation, reducing the proportion of fossil energy power generation, and gradually converting to clean energy is obtained. The application of hypergraph algorithm in the structural adjustment of power generation is of great significance to promote the diversification of power generation energy, especially in the clean development, low-carbon development and green development of the power industry.
VL  - 7
IS  - 2
ER  -

Copy | Download