Distribution Network Optimization Model of Industrial Park with Distributed Energy Resources under the Carbon Neutral Targets
Taking an industrial park as an example, this study aims to analyze the characteristics of a distribution network that incorporates distributed energy resources (DERs). The study begins by summarizing the key features of a distribution network with DERs based on recent power usage data. To predict a...
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| Vydáno v: | Energy engineering Ročník 120; číslo 12; s. 2741 - 2760 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Atlanta
Tech Science Press
2023
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| Témata: | |
| ISSN: | 1546-0118, 0199-8595, 1546-0118 |
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| Abstract | Taking an industrial park as an example, this study aims to analyze the characteristics of a distribution network that incorporates distributed energy resources (DERs). The study begins by summarizing the key features of a distribution network with DERs based on recent power usage data. To predict and analyze the load growth of the industrial park, an improved back-propagation algorithm is employed. Furthermore, the study classifies users within the industrial park according to their specific power consumption and supply requirements. This user segmentation allows for the introduction of three constraints: node voltage, wire current, and capacity of DERs. By incorporating these constraints, the study constructs an optimization model for the distribution network in the industrial park, with the objective of minimizing the total operation and maintenance cost. The primary goal of these optimizations is to address the needs of DERs connected to the distribution network, while simultaneously mitigating their potential adverse impact on the network. Additionally, the study aims to enhance the overall energy efficiency of the industrial park through more efficient utilization of resources. |
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| AbstractList | Taking an industrial park as an example, this study aims to analyze the characteristics of a distribution network that incorporates distributed energy resources (DERs). The study begins by summarizing the key features of a distribution network with DERs based on recent power usage data. To predict and analyze the load growth of the industrial park, an improved back-propagation algorithm is employed. Furthermore, the study classifies users within the industrial park according to their specific power consumption and supply requirements. This user segmentation allows for the introduction of three constraints: node voltage, wire current, and capacity of DERs. By incorporating these constraints, the study constructs an optimization model for the distribution network in the industrial park, with the objective of minimizing the total operation and maintenance cost. The primary goal of these optimizations is to address the needs of DERs connected to the distribution network, while simultaneously mitigating their potential adverse impact on the network. Additionally, the study aims to enhance the overall energy efficiency of the industrial park through more efficient utilization of resources. |
| Author | Yang, Kang Yu, Xiaobao |
| Author_xml | – sequence: 1 givenname: Xiaobao surname: Yu fullname: Yu, Xiaobao – sequence: 2 givenname: Kang surname: Yang fullname: Yang, Kang |
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| CitedBy_id | crossref_primary_10_32604_ee_2025_059568 crossref_primary_10_1016_j_apenergy_2025_126701 |
| Cites_doi | 10.1038/s41586-020-2849-9 10.1016/j.cie.2012.01.006 10.1109/TSTE.2010.2044900 |
| ContentType | Journal Article |
| Copyright | 2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| SubjectTerms | Algorithms Back propagation Constraints Energy resources Energy sources Industrial parks Maintenance costs Network management systems Optimization models Power consumption Resource utilization |
| Title | Distribution Network Optimization Model of Industrial Park with Distributed Energy Resources under the Carbon Neutral Targets |
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