Energy Cooperation Optimization in Residential Microgrid with Virtual Storage Technology
The power balance of the tie-line is crucial to the stable operation of a community microgrid. This paper presents a power fluctuation smoothing method of the microgrid tie-line based on virtual energy storage technology. Firstly, the structure characteristics and the energy coupling mode of the com...
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| Veröffentlicht in: | Mathematical problems in engineering 2021, Vol.2021, p.1-11 |
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| creator | Tang, Jun Yang, Chen Feng, Changsen Li, Junting Gu, Xiaowen Jiang, Xuelei |
| description | The power balance of the tie-line is crucial to the stable operation of a community microgrid. This paper presents a power fluctuation smoothing method of the microgrid tie-line based on virtual energy storage technology. Firstly, the structure characteristics and the energy coupling mode of the combined heat and power system is systematically analyzed. Considering the operating characteristics of heat pumps, micro gas turbines, and buildings’ heat storage characteristics, a virtual energy storage model is established. Secondly, the target power of the tie-line is determined with the storage state indexes into consideration. Subsequently, a power allocation strategy which takes into account the correction of equipment state mapping set is proposed to allocate the tie-line power fluctuations to heat pumps, micro gas turbines, and supercapacitors. Simulation results show this method can realize the coupling coordination between heat and power energy and ensure the smoothing effect of the power fluctuations. Meanwhile, the control flexibility of the combined heat and power system can be enhanced, and the microgrid’s operating economy can be improved. |
| doi_str_mv | 10.1155/2021/8879122 |
| format | Article |
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This paper presents a power fluctuation smoothing method of the microgrid tie-line based on virtual energy storage technology. Firstly, the structure characteristics and the energy coupling mode of the combined heat and power system is systematically analyzed. Considering the operating characteristics of heat pumps, micro gas turbines, and buildings’ heat storage characteristics, a virtual energy storage model is established. Secondly, the target power of the tie-line is determined with the storage state indexes into consideration. Subsequently, a power allocation strategy which takes into account the correction of equipment state mapping set is proposed to allocate the tie-line power fluctuations to heat pumps, micro gas turbines, and supercapacitors. Simulation results show this method can realize the coupling coordination between heat and power energy and ensure the smoothing effect of the power fluctuations. Meanwhile, the control flexibility of the combined heat and power system can be enhanced, and the microgrid’s operating economy can be improved.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2021/8879122</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Alternative energy sources ; Cogeneration ; Cooperation ; Coupling ; Distributed generation ; Electric power ; Electricity distribution ; Energy storage ; Engineering ; Gas turbines ; Heat ; Heat pumps ; Heat storage ; Natural gas ; Optimization ; Renewable resources ; Residential energy ; Smoothing ; Turbines ; Wind power</subject><ispartof>Mathematical problems in engineering, 2021, Vol.2021, p.1-11</ispartof><rights>Copyright © 2021 Jun Tang et al.</rights><rights>Copyright © 2021 Jun Tang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-faca22598e598dce9990fabc8d5a3b0ad014143132d13c9790342e285bdc006a3</citedby><cites>FETCH-LOGICAL-c337t-faca22598e598dce9990fabc8d5a3b0ad014143132d13c9790342e285bdc006a3</cites><orcidid>0000-0002-3143-7243</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27902,27903,27904</link.rule.ids></links><search><contributor>Santos Sanchez, Omar Jacobo</contributor><contributor>Omar Jacobo Santos Sanchez</contributor><creatorcontrib>Tang, Jun</creatorcontrib><creatorcontrib>Yang, Chen</creatorcontrib><creatorcontrib>Feng, Changsen</creatorcontrib><creatorcontrib>Li, Junting</creatorcontrib><creatorcontrib>Gu, Xiaowen</creatorcontrib><creatorcontrib>Jiang, Xuelei</creatorcontrib><title>Energy Cooperation Optimization in Residential Microgrid with Virtual Storage Technology</title><title>Mathematical problems in engineering</title><description>The power balance of the tie-line is crucial to the stable operation of a community microgrid. This paper presents a power fluctuation smoothing method of the microgrid tie-line based on virtual energy storage technology. Firstly, the structure characteristics and the energy coupling mode of the combined heat and power system is systematically analyzed. Considering the operating characteristics of heat pumps, micro gas turbines, and buildings’ heat storage characteristics, a virtual energy storage model is established. Secondly, the target power of the tie-line is determined with the storage state indexes into consideration. Subsequently, a power allocation strategy which takes into account the correction of equipment state mapping set is proposed to allocate the tie-line power fluctuations to heat pumps, micro gas turbines, and supercapacitors. Simulation results show this method can realize the coupling coordination between heat and power energy and ensure the smoothing effect of the power fluctuations. Meanwhile, the control flexibility of the combined heat and power system can be enhanced, and the microgrid’s operating economy can be improved.</description><subject>Alternative energy sources</subject><subject>Cogeneration</subject><subject>Cooperation</subject><subject>Coupling</subject><subject>Distributed generation</subject><subject>Electric power</subject><subject>Electricity distribution</subject><subject>Energy storage</subject><subject>Engineering</subject><subject>Gas turbines</subject><subject>Heat</subject><subject>Heat pumps</subject><subject>Heat storage</subject><subject>Natural gas</subject><subject>Optimization</subject><subject>Renewable resources</subject><subject>Residential energy</subject><subject>Smoothing</subject><subject>Turbines</subject><subject>Wind power</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kEtLAzEQgIMoWKs3f8CCR12bSTa7m6OU-oBKQav0tqRJdpvSbtYkpdRfb8r27GGYBx8zw4fQLeBHAMZGBBMYlWXBgZAzNACW05RBVpzHGpMsBUIXl-jK-zWOJINygBaTVrvmkIyt7bQTwdg2mXXBbM1v35g2-dDeKN0GIzbJu5HONs6oZG_CKvk2Luzi-DNYJxqdzLVctXZjm8M1uqjFxuubUx6ir-fJfPyaTmcvb-OnaSopLUJaCykIYbzUMZTUnHNci6UsFRN0iYXCkEFGgRIFVPKCY5oRTUq2VBLjXNAhuuv3ds7-7LQP1druXBtPViQrC8zyrMgj9dBT8Xvvna6rzpmtcIcKcHV0Vx3dVSd3Eb_v8ZVpldib_-k_xntutQ</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Tang, Jun</creator><creator>Yang, Chen</creator><creator>Feng, Changsen</creator><creator>Li, Junting</creator><creator>Gu, Xiaowen</creator><creator>Jiang, Xuelei</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-3143-7243</orcidid></search><sort><creationdate>2021</creationdate><title>Energy Cooperation Optimization in Residential Microgrid with Virtual Storage Technology</title><author>Tang, Jun ; 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This paper presents a power fluctuation smoothing method of the microgrid tie-line based on virtual energy storage technology. Firstly, the structure characteristics and the energy coupling mode of the combined heat and power system is systematically analyzed. Considering the operating characteristics of heat pumps, micro gas turbines, and buildings’ heat storage characteristics, a virtual energy storage model is established. Secondly, the target power of the tie-line is determined with the storage state indexes into consideration. Subsequently, a power allocation strategy which takes into account the correction of equipment state mapping set is proposed to allocate the tie-line power fluctuations to heat pumps, micro gas turbines, and supercapacitors. Simulation results show this method can realize the coupling coordination between heat and power energy and ensure the smoothing effect of the power fluctuations. Meanwhile, the control flexibility of the combined heat and power system can be enhanced, and the microgrid’s operating economy can be improved.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2021/8879122</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-3143-7243</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Alternative energy sources Cogeneration Cooperation Coupling Distributed generation Electric power Electricity distribution Energy storage Engineering Gas turbines Heat Heat pumps Heat storage Natural gas Optimization Renewable resources Residential energy Smoothing Turbines Wind power |
| title | Energy Cooperation Optimization in Residential Microgrid with Virtual Storage Technology |
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