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Optimal Sizing of Battery Energy Storage System in Smart Microgrid with Air-conditioning Resources
In the microgrid with high photovoltaic (PV) penetration, the optimal sizing of battery energy storage system (BESS) has been a trending research topic in recent years. Simultaneously, the high energy consumption of air-conditioned households is attracting increasing attention currently. In this pap...
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creator | Xie, Changhong Wang, Dongxiao Lai, Chun Sing Wu, Runji Huang, Jiachang Lai, Loi Lei |
description | In the microgrid with high photovoltaic (PV) penetration, the optimal sizing of battery energy storage system (BESS) has been a trending research topic in recent years. Simultaneously, the high energy consumption of air-conditioned households is attracting increasing attention currently. In this paper, an optimal sizing method of BESS is developed for a smart microgrid with PV systems and air-conditioning resources. The proposed model is divided into two layers. In the first layer, the initial size of BESS is determined with consideration of photovoltaic output power and thermal buffering characteristics of air-conditioned households. In the second layer, the optimal size of BESS is proposed to minimize the system overall cost including BESS construction investment and microgrid system operation cost. The model is solved by differential evolutionary algorithm and iterative algorithms. Case studies demonstrate the effectiveness of the proposed method. |
doi_str_mv | 10.1109/ISC251055.2020.9239044 |
format | conference_proceeding |
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Simultaneously, the high energy consumption of air-conditioned households is attracting increasing attention currently. In this paper, an optimal sizing method of BESS is developed for a smart microgrid with PV systems and air-conditioning resources. The proposed model is divided into two layers. In the first layer, the initial size of BESS is determined with consideration of photovoltaic output power and thermal buffering characteristics of air-conditioned households. In the second layer, the optimal size of BESS is proposed to minimize the system overall cost including BESS construction investment and microgrid system operation cost. The model is solved by differential evolutionary algorithm and iterative algorithms. 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Case studies demonstrate the effectiveness of the proposed method.</description><subject>Air-conditioning Resources</subject><subject>Atmospheric modeling</subject><subject>Batteries</subject><subject>Battery Energy Storage</subject><subject>Energy consumption</subject><subject>Microgrids</subject><subject>Optimal Sizing</subject><subject>Photovoltaic systems</subject><subject>PV Arrays</subject><subject>Smart grids</subject><subject>Systems operation</subject><issn>2687-8860</issn><isbn>9781728182940</isbn><isbn>1728182948</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2020</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkF1LwzAYRqMgOGZ_gSD5A51vkubrco6pg8nA6vVImnc1srUjjUj99U7c1XNzOHAeQu4YzBgDe7-qF1wykHLGgcPMcmGhqi5IYbVhmhtmuK3gkky4Mro0RsE1KYbhEwAEB6GlnhC_OeZ4cHtax5_YtbTf0QeXM6aRLjtM7Ujr3CfXIq3HIeOBxo7WB5cyfYlN6tsUA_2O-YPOYyqbvgsxx777M73i0H-lBocbcrVz-wGL807J--PybfFcrjdPq8V8XcZTRS4NVr4C8EI4MEqzoBuhlNRKgfNGIHjkWqrG76S0wQfpmdUuBJAnQqAXU3L7742IuD2mU1Yat-dXxC_ug1ds</recordid><startdate>20200928</startdate><enddate>20200928</enddate><creator>Xie, Changhong</creator><creator>Wang, Dongxiao</creator><creator>Lai, Chun Sing</creator><creator>Wu, Runji</creator><creator>Huang, Jiachang</creator><creator>Lai, Loi Lei</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20200928</creationdate><title>Optimal Sizing of Battery Energy Storage System in Smart Microgrid with Air-conditioning Resources</title><author>Xie, Changhong ; Wang, Dongxiao ; Lai, Chun Sing ; Wu, Runji ; Huang, Jiachang ; Lai, Loi Lei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i251t-8e4b400b33a08671d7c36657660ab83e0be2756cbf559dbd5b197add056603eb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Air-conditioning Resources</topic><topic>Atmospheric modeling</topic><topic>Batteries</topic><topic>Battery Energy Storage</topic><topic>Energy consumption</topic><topic>Microgrids</topic><topic>Optimal Sizing</topic><topic>Photovoltaic systems</topic><topic>PV Arrays</topic><topic>Smart grids</topic><topic>Systems operation</topic><toplevel>online_resources</toplevel><creatorcontrib>Xie, Changhong</creatorcontrib><creatorcontrib>Wang, Dongxiao</creatorcontrib><creatorcontrib>Lai, Chun Sing</creatorcontrib><creatorcontrib>Wu, Runji</creatorcontrib><creatorcontrib>Huang, Jiachang</creatorcontrib><creatorcontrib>Lai, Loi Lei</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xie, Changhong</au><au>Wang, Dongxiao</au><au>Lai, Chun Sing</au><au>Wu, Runji</au><au>Huang, Jiachang</au><au>Lai, Loi Lei</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimal Sizing of Battery Energy Storage System in Smart Microgrid with Air-conditioning Resources</atitle><btitle>2020 IEEE International Smart Cities Conference (ISC2)</btitle><stitle>ISC2</stitle><date>2020-09-28</date><risdate>2020</risdate><spage>1</spage><epage>8</epage><pages>1-8</pages><eissn>2687-8860</eissn><eisbn>9781728182940</eisbn><eisbn>1728182948</eisbn><abstract>In the microgrid with high photovoltaic (PV) penetration, the optimal sizing of battery energy storage system (BESS) has been a trending research topic in recent years. 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subjects | Air-conditioning Resources Atmospheric modeling Batteries Battery Energy Storage Energy consumption Microgrids Optimal Sizing Photovoltaic systems PV Arrays Smart grids Systems operation |
title | Optimal Sizing of Battery Energy Storage System in Smart Microgrid with Air-conditioning Resources |
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