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

Bibliographic Details
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
More Details
ISSN:10049649
DOI:10.11930/j.issn.1004-9649.202212079
Published in:Zhongguo dianli
Language:Chinese