A day‐ahead optimal scheduling model of an integrated energy system for a facility agricultural–industrial park
Abstract The widespread use of biogas and biomass fuels in facility agro‐industrial parks has led to a significant increase in their carbon emissions. A day‐ahead optimal scheduling model for an integrated energy system (IES) is proposed, that considers the coupling of biomass and power to gas (P2G)...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-09-01
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| Series: | IET Energy Systems Integration |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/esi2.12101 |
| _version_ | 1797689008277422080 |
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| author | Wei Chen Xuewu Chang Jianing Li |
| author_facet | Wei Chen Xuewu Chang Jianing Li |
| author_sort | Wei Chen |
| collection | DOAJ |
| description | Abstract The widespread use of biogas and biomass fuels in facility agro‐industrial parks has led to a significant increase in their carbon emissions. A day‐ahead optimal scheduling model for an integrated energy system (IES) is proposed, that considers the coupling of biomass and power to gas (P2G) to reduce carbon emissions during the operation of an industrial park. The proposed model incorporates the two evaluation indices of the economy of and carbon emissions by the IES of the park, and formulates and solves a multi‐objective optimization problem by using the ε‐constraint method. From among the solutions to the Pareto front, we choose the scheduling strategy that delivers the optimal performance in case of multiple objectives by using the fuzzy decision method. Finally, the validity of the proposed model was verified by considering the IES of an agriculture–industrial park in the northwest region of China. |
| first_indexed | 2024-03-12T01:38:43Z |
| format | Article |
| id | doaj.art-fa631faf8f6344779fd2f981da741c0f |
| institution | Directory Open Access Journal |
| issn | 2516-8401 |
| language | English |
| last_indexed | 2024-03-12T01:38:43Z |
| publishDate | 2023-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Energy Systems Integration |
| spelling | doaj.art-fa631faf8f6344779fd2f981da741c0f2023-09-11T04:12:14ZengWileyIET Energy Systems Integration2516-84012023-09-015326127410.1049/esi2.12101A day‐ahead optimal scheduling model of an integrated energy system for a facility agricultural–industrial parkWei Chen0Xuewu Chang1Jianing Li2School of Electrical Engineering and Information Engineering LanZhou University of Technology LanZhou ChinaSchool of Electrical Engineering and Information Engineering LanZhou University of Technology LanZhou ChinaPingliang Power Supply Company of State Grid Gansu Province Electric Power Company Pingliang ChinaAbstract The widespread use of biogas and biomass fuels in facility agro‐industrial parks has led to a significant increase in their carbon emissions. A day‐ahead optimal scheduling model for an integrated energy system (IES) is proposed, that considers the coupling of biomass and power to gas (P2G) to reduce carbon emissions during the operation of an industrial park. The proposed model incorporates the two evaluation indices of the economy of and carbon emissions by the IES of the park, and formulates and solves a multi‐objective optimization problem by using the ε‐constraint method. From among the solutions to the Pareto front, we choose the scheduling strategy that delivers the optimal performance in case of multiple objectives by using the fuzzy decision method. Finally, the validity of the proposed model was verified by considering the IES of an agriculture–industrial park in the northwest region of China.https://doi.org/10.1049/esi2.12101biofueldistributed power generationpower generation scheduling |
| spellingShingle | Wei Chen Xuewu Chang Jianing Li A day‐ahead optimal scheduling model of an integrated energy system for a facility agricultural–industrial park IET Energy Systems Integration biofuel distributed power generation power generation scheduling |
| title | A day‐ahead optimal scheduling model of an integrated energy system for a facility agricultural–industrial park |
| title_full | A day‐ahead optimal scheduling model of an integrated energy system for a facility agricultural–industrial park |
| title_fullStr | A day‐ahead optimal scheduling model of an integrated energy system for a facility agricultural–industrial park |
| title_full_unstemmed | A day‐ahead optimal scheduling model of an integrated energy system for a facility agricultural–industrial park |
| title_short | A day‐ahead optimal scheduling model of an integrated energy system for a facility agricultural–industrial park |
| title_sort | day ahead optimal scheduling model of an integrated energy system for a facility agricultural industrial park |
| topic | biofuel distributed power generation power generation scheduling |
| url | https://doi.org/10.1049/esi2.12101 |
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