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Two-Stage Dispatch of CCHP Microgrid Based on NNC and DMC

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Title: Two-Stage Dispatch of CCHP Microgrid Based on NNC and DMC
Authors: Suhao CHEN, Yue WU, Wei ZENG, Xiaohui YANG, Xiaopeng WANG, Yunfei WU
Source: Zhongguo dianli, Vol 57, Iss 2, Pp 171-182 (2024)
Publisher Information: State Grid Energy Research Institute, 2024.
Publication Year: 2024
Collection: LCC:Production of electric energy or power. Powerplants. Central stations
Subject Terms: cchp microgrid, two-stage optimized scheduling, multi-objective optimization, normalized normal constraint method, dynamic matrix control algorithm, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841
More Details: The combination of combined cooling, heating and power (CCHP) and microgrid promotes the consumption of renewable energy. In order to improve the economy, environmental protection and stability of CCHP microgrid, a two-stage optimal dispatching model is proposed. The offline optimization stage is based on the demand response strategy, and the multi-objective model based on the normalized normal constraint method is established, and the optimal results are screened by the entropy-TOPSIS method. In the online optimization stage, a finite-time domain optimization model based on dynamic matrix control algorithm is established to track and optimize the offline optimization results with feedback correction to reduce the influence of uncertainty factors. Finally, a comparison scheme is designed to for analysis verify the effectiveness of the proposed optimization model.
Document Type: article
File Description: electronic resource
Language: Chinese
ISSN: 1004-9649
Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212079; https://doaj.org/toc/1004-9649
DOI: 10.11930/j.issn.1004-9649.202212079
Access URL: https://doaj.org/article/9adb005067c145329c0df11bb0fd4369
Accession Number: edsdoj.9adb005067c145329c0df11bb0fd4369
Database: Directory of Open Access Journals
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  Data: Two-Stage Dispatch of CCHP Microgrid Based on NNC and DMC
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  Data: <searchLink fieldCode="AR" term="%22Suhao+CHEN%22">Suhao CHEN</searchLink><br /><searchLink fieldCode="AR" term="%22Yue+WU%22">Yue WU</searchLink><br /><searchLink fieldCode="AR" term="%22Wei+ZENG%22">Wei ZENG</searchLink><br /><searchLink fieldCode="AR" term="%22Xiaohui+YANG%22">Xiaohui YANG</searchLink><br /><searchLink fieldCode="AR" term="%22Xiaopeng+WANG%22">Xiaopeng WANG</searchLink><br /><searchLink fieldCode="AR" term="%22Yunfei+WU%22">Yunfei WU</searchLink>
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  Data: Zhongguo dianli, Vol 57, Iss 2, Pp 171-182 (2024)
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  Data: State Grid Energy Research Institute, 2024.
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  Data: 2024
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  Data: LCC:Production of electric energy or power. Powerplants. Central stations
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  Data: <searchLink fieldCode="DE" term="%22cchp+microgrid%22">cchp microgrid</searchLink><br /><searchLink fieldCode="DE" term="%22two-stage+optimized+scheduling%22">two-stage optimized scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22multi-objective+optimization%22">multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22normalized+normal+constraint+method%22">normalized normal constraint method</searchLink><br /><searchLink fieldCode="DE" term="%22dynamic+matrix+control+algorithm%22">dynamic matrix control algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Electricity%22">Electricity</searchLink><br /><searchLink fieldCode="DE" term="%22QC501-721%22">QC501-721</searchLink><br /><searchLink fieldCode="DE" term="%22Production+of+electric+energy+or+power%2E+Powerplants%2E+Central+stations%22">Production of electric energy or power. Powerplants. Central stations</searchLink><br /><searchLink fieldCode="DE" term="%22TK1001-1841%22">TK1001-1841</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: The combination of combined cooling, heating and power (CCHP) and microgrid promotes the consumption of renewable energy. In order to improve the economy, environmental protection and stability of CCHP microgrid, a two-stage optimal dispatching model is proposed. The offline optimization stage is based on the demand response strategy, and the multi-objective model based on the normalized normal constraint method is established, and the optimal results are screened by the entropy-TOPSIS method. In the online optimization stage, a finite-time domain optimization model based on dynamic matrix control algorithm is established to track and optimize the offline optimization results with feedback correction to reduce the influence of uncertainty factors. Finally, a comparison scheme is designed to for analysis verify the effectiveness of the proposed optimization model.
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  Data: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212079; https://doaj.org/toc/1004-9649
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RecordInfo BibRecord:
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        Value: 10.11930/j.issn.1004-9649.202212079
    Languages:
      – Text: Chinese
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 171
    Subjects:
      – SubjectFull: cchp microgrid
        Type: general
      – SubjectFull: two-stage optimized scheduling
        Type: general
      – SubjectFull: multi-objective optimization
        Type: general
      – SubjectFull: normalized normal constraint method
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      – SubjectFull: dynamic matrix control algorithm
        Type: general
      – SubjectFull: Electricity
        Type: general
      – SubjectFull: QC501-721
        Type: general
      – SubjectFull: Production of electric energy or power. Powerplants. Central stations
        Type: general
      – SubjectFull: TK1001-1841
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      – TitleFull: Two-Stage Dispatch of CCHP Microgrid Based on NNC and DMC
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            NameFull: Suhao CHEN
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            NameFull: Yue WU
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            NameFull: Xiaohui YANG
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              Y: 2024
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