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Coordinated Optimal Dispatch of Electricity and Heat Integrated Energy Systems Based on Fictitious Node Method
In an electricity and heat integrated energy system, the transmission of thermal energy encounters significant delays, and the delays are often not integer multiples of the dispatch interval. This mismatch poses challenges for achieving coordinated dispatch with the electric power system. To address...
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Published in: | Energies (Basel) 2023-09, Vol.16 (18), p.6449 |
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description | In an electricity and heat integrated energy system, the transmission of thermal energy encounters significant delays, and the delays are often not integer multiples of the dispatch interval. This mismatch poses challenges for achieving coordinated dispatch with the electric power system. To address this problem, the fictitious node method is proposed in this paper, offering a novel approach to calculating the quasi-dynamic characteristics of the heating network. Furthermore, to enhance the local consumption capacity of wind power, the heat storage capacity of the heat supply network was taken into consideration in this study, and a combined energy supply model equipped with electric boilers, incorporating combined heat and power (CHP) units and gas turbine units, was developed. This model effectively expands the operational range of CHP units and enables the decoupling of electricity and heat operations in gas turbine units. The analysis conducted demonstrated the effectiveness of the proposed method and model in achieving the coordinated dispatch of electricity and heat. Moreover, it highlighted the positive impact on the overall economy of system operation and the promotion of wind power consumption. The optimal configuration presented in this paper resulted in an 8.2% improvement in system operating economics and a 38.3% enhancement in wind power integration. |
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This mismatch poses challenges for achieving coordinated dispatch with the electric power system. To address this problem, the fictitious node method is proposed in this paper, offering a novel approach to calculating the quasi-dynamic characteristics of the heating network. Furthermore, to enhance the local consumption capacity of wind power, the heat storage capacity of the heat supply network was taken into consideration in this study, and a combined energy supply model equipped with electric boilers, incorporating combined heat and power (CHP) units and gas turbine units, was developed. This model effectively expands the operational range of CHP units and enables the decoupling of electricity and heat operations in gas turbine units. The analysis conducted demonstrated the effectiveness of the proposed method and model in achieving the coordinated dispatch of electricity and heat. Moreover, it highlighted the positive impact on the overall economy of system operation and the promotion of wind power consumption. 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Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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This mismatch poses challenges for achieving coordinated dispatch with the electric power system. To address this problem, the fictitious node method is proposed in this paper, offering a novel approach to calculating the quasi-dynamic characteristics of the heating network. Furthermore, to enhance the local consumption capacity of wind power, the heat storage capacity of the heat supply network was taken into consideration in this study, and a combined energy supply model equipped with electric boilers, incorporating combined heat and power (CHP) units and gas turbine units, was developed. This model effectively expands the operational range of CHP units and enables the decoupling of electricity and heat operations in gas turbine units. The analysis conducted demonstrated the effectiveness of the proposed method and model in achieving the coordinated dispatch of electricity and heat. 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Wang, Jiawei ; Wan, Yaheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-1233d6e87c82d4a893a40264f21c7ef6e0e959e453ab1594e7389f3f870632d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Accuracy</topic><topic>Alternative energy sources</topic><topic>Analysis</topic><topic>China</topic><topic>Cogeneration power plants</topic><topic>combined heat and power</topic><topic>coordinated heat and power dispatch</topic><topic>Electric power</topic><topic>Electric power systems</topic><topic>Electric power transmission</topic><topic>Electricity</topic><topic>electricity and heat integrated energy system</topic><topic>Electricity distribution</topic><topic>Energy consumption</topic><topic>Energy resources</topic><topic>Energy storage</topic><topic>fictitious node method</topic><topic>Flexibility</topic><topic>Force and energy</topic><topic>Gas-turbines</topic><topic>Green technology</topic><topic>Heat</topic><topic>Heat storage</topic><topic>Heating</topic><topic>Methods</topic><topic>optimal dispatch</topic><topic>Partial differential equations</topic><topic>Renewable resources</topic><topic>Scheduling</topic><topic>Thermal energy</topic><topic>time delay</topic><topic>Wind power</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zeng, Aidong</creatorcontrib><creatorcontrib>Wang, Jiawei</creatorcontrib><creatorcontrib>Wan, Yaheng</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJÂ Directory of Open Access Journals</collection><jtitle>Energies (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zeng, Aidong</au><au>Wang, Jiawei</au><au>Wan, Yaheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coordinated Optimal Dispatch of Electricity and Heat Integrated Energy Systems Based on Fictitious Node Method</atitle><jtitle>Energies (Basel)</jtitle><date>2023-09-01</date><risdate>2023</risdate><volume>16</volume><issue>18</issue><spage>6449</spage><pages>6449-</pages><issn>1996-1073</issn><eissn>1996-1073</eissn><abstract>In an electricity and heat integrated energy system, the transmission of thermal energy encounters significant delays, and the delays are often not integer multiples of the dispatch interval. 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subjects | Accuracy Alternative energy sources Analysis China Cogeneration power plants combined heat and power coordinated heat and power dispatch Electric power Electric power systems Electric power transmission Electricity electricity and heat integrated energy system Electricity distribution Energy consumption Energy resources Energy storage fictitious node method Flexibility Force and energy Gas-turbines Green technology Heat Heat storage Heating Methods optimal dispatch Partial differential equations Renewable resources Scheduling Thermal energy time delay Wind power |
title | Coordinated Optimal Dispatch of Electricity and Heat Integrated Energy Systems Based on Fictitious Node Method |
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