Novel Incentive Mechanism for End-Users Enrolled in DLC-Based Demand Response Programs Within Stochastic Planning Context
In this paper, a novel direct load control (DLC) planning based on providing free energy credits to residential end-users for their heating, ventilation, and air conditioning load during demand response (DR) events is proposed. The obtained credit can then be used by the end-users during relatively...
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| Veröffentlicht in: | IEEE transactions on industrial electronics (1982) 2019-02, Vol.66 (2), p.1476-1487 |
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| container_title | IEEE transactions on industrial electronics (1982) |
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| creator | Erdinc, Ozan Tascikaraoglu, Akin Paterakis, Nikolaos G. Catalao, Joao P. S. |
| description | In this paper, a novel direct load control (DLC) planning based on providing free energy credits to residential end-users for their heating, ventilation, and air conditioning load during demand response (DR) events is proposed. The obtained credit can then be used by the end-users during relatively higher price periods free-of-cost to enable them lowering their energy procurement costs. Furthermore, the resulting reduction in the total household energy consumption considerably decreases the critical load demands in power systems, which is of vital importance for load-serving entities in maintaining the balance between supply and demand during peak load periods. In this regard, the aforementioned energy credits-based incentive mechanism is proposed for end-users enrolled in the DLC-based DR program, as a new contribution to the existing literature, testing it in a stochastic day-ahead planning context. |
| doi_str_mv | 10.1109/TIE.2018.2811403 |
| format | Article |
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In this regard, the aforementioned energy credits-based incentive mechanism is proposed for end-users enrolled in the DLC-based DR program, as a new contribution to the existing literature, testing it in a stochastic day-ahead planning context.</description><identifier>ISSN: 0278-0046</identifier><identifier>EISSN: 1557-9948</identifier><identifier>DOI: 10.1109/TIE.2018.2811403</identifier><identifier>CODEN: ITIED6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Air conditioners ; Air conditioning ; and air conditioning (HVAC) ; Demand response (DR) ; direct load control (DLC) ; Electricity consumption ; Energy consumption ; Energy costs ; energy credit ; Energy management ; Free energy ; heating ; Load flow control ; Load management ; Load modeling ; Peak load ; Planning ; Power consumption ; Power systems ; Procurement ; Refrigerators ; Residential energy ; smart household ; thermostatically controllable loads (TCLs) ; Ventilation</subject><ispartof>IEEE transactions on industrial electronics (1982), 2019-02, Vol.66 (2), p.1476-1487</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c333t-669c2c4d0545e4feb4d4843200b0f13048b92d2ffc0d672fba13c084aa5c85c33</citedby><cites>FETCH-LOGICAL-c333t-669c2c4d0545e4feb4d4843200b0f13048b92d2ffc0d672fba13c084aa5c85c33</cites><orcidid>0000-0001-8696-6516 ; 0000-0002-3395-8253 ; 0000-0002-2105-3051</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8305654$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8305654$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Erdinc, Ozan</creatorcontrib><creatorcontrib>Tascikaraoglu, Akin</creatorcontrib><creatorcontrib>Paterakis, Nikolaos G.</creatorcontrib><creatorcontrib>Catalao, Joao P. S.</creatorcontrib><title>Novel Incentive Mechanism for End-Users Enrolled in DLC-Based Demand Response Programs Within Stochastic Planning Context</title><title>IEEE transactions on industrial electronics (1982)</title><addtitle>TIE</addtitle><description>In this paper, a novel direct load control (DLC) planning based on providing free energy credits to residential end-users for their heating, ventilation, and air conditioning load during demand response (DR) events is proposed. The obtained credit can then be used by the end-users during relatively higher price periods free-of-cost to enable them lowering their energy procurement costs. Furthermore, the resulting reduction in the total household energy consumption considerably decreases the critical load demands in power systems, which is of vital importance for load-serving entities in maintaining the balance between supply and demand during peak load periods. In this regard, the aforementioned energy credits-based incentive mechanism is proposed for end-users enrolled in the DLC-based DR program, as a new contribution to the existing literature, testing it in a stochastic day-ahead planning context.</description><subject>Air conditioners</subject><subject>Air conditioning</subject><subject>and air conditioning (HVAC)</subject><subject>Demand response (DR)</subject><subject>direct load control (DLC)</subject><subject>Electricity consumption</subject><subject>Energy consumption</subject><subject>Energy costs</subject><subject>energy credit</subject><subject>Energy management</subject><subject>Free energy</subject><subject>heating</subject><subject>Load flow control</subject><subject>Load management</subject><subject>Load modeling</subject><subject>Peak load</subject><subject>Planning</subject><subject>Power consumption</subject><subject>Power systems</subject><subject>Procurement</subject><subject>Refrigerators</subject><subject>Residential energy</subject><subject>smart household</subject><subject>thermostatically controllable loads (TCLs)</subject><subject>Ventilation</subject><issn>0278-0046</issn><issn>1557-9948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1LAzEQhoMoWD_ugpeA562Tr232qLVqoWrRFo9Lmp3VlW1Sk23Rf29Ki6eZged9Bx5CLhj0GYPiejYe9Tkw3eeaMQnigPSYUoOsKKQ-JD3gA50ByPyYnMT4BcCkYqpHfp_9Bls6dhZd12yQPqH9NK6JS1r7QEeuyuYRQ0xb8G2LFW0cvZsMs1sT03GHS-Mq-opx5V1EOg3-I5hlpO9N95nIt86nutg1lk5b41zjPujQuw5_ujNyVJs24vl-npL5_Wg2fMwmLw_j4c0ks0KILsvzwnIrK1BSoaxxISuppeAAC6iZAKkXBa94XVuo8gGvF4YJC1oao6xWqeOUXO16V8F_rzF25ZdfB5delpwxpUXqyBMFO8oGH2PAulyFZmnCb8mg3Aouk-ByK7jcC06Ry12kQcR_XAtQuZLiD0thdvc</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Erdinc, Ozan</creator><creator>Tascikaraoglu, Akin</creator><creator>Paterakis, Nikolaos G.</creator><creator>Catalao, Joao P. S.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-8696-6516</orcidid><orcidid>https://orcid.org/0000-0002-3395-8253</orcidid><orcidid>https://orcid.org/0000-0002-2105-3051</orcidid></search><sort><creationdate>20190201</creationdate><title>Novel Incentive Mechanism for End-Users Enrolled in DLC-Based Demand Response Programs Within Stochastic Planning Context</title><author>Erdinc, Ozan ; Tascikaraoglu, Akin ; Paterakis, Nikolaos G. ; Catalao, Joao P. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-669c2c4d0545e4feb4d4843200b0f13048b92d2ffc0d672fba13c084aa5c85c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Air conditioners</topic><topic>Air conditioning</topic><topic>and air conditioning (HVAC)</topic><topic>Demand response (DR)</topic><topic>direct load control (DLC)</topic><topic>Electricity consumption</topic><topic>Energy consumption</topic><topic>Energy costs</topic><topic>energy credit</topic><topic>Energy management</topic><topic>Free energy</topic><topic>heating</topic><topic>Load flow control</topic><topic>Load management</topic><topic>Load modeling</topic><topic>Peak load</topic><topic>Planning</topic><topic>Power consumption</topic><topic>Power systems</topic><topic>Procurement</topic><topic>Refrigerators</topic><topic>Residential energy</topic><topic>smart household</topic><topic>thermostatically controllable loads (TCLs)</topic><topic>Ventilation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Erdinc, Ozan</creatorcontrib><creatorcontrib>Tascikaraoglu, Akin</creatorcontrib><creatorcontrib>Paterakis, Nikolaos G.</creatorcontrib><creatorcontrib>Catalao, Joao P. S.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on industrial electronics (1982)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Erdinc, Ozan</au><au>Tascikaraoglu, Akin</au><au>Paterakis, Nikolaos G.</au><au>Catalao, Joao P. S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Novel Incentive Mechanism for End-Users Enrolled in DLC-Based Demand Response Programs Within Stochastic Planning Context</atitle><jtitle>IEEE transactions on industrial electronics (1982)</jtitle><stitle>TIE</stitle><date>2019-02-01</date><risdate>2019</risdate><volume>66</volume><issue>2</issue><spage>1476</spage><epage>1487</epage><pages>1476-1487</pages><issn>0278-0046</issn><eissn>1557-9948</eissn><coden>ITIED6</coden><abstract>In this paper, a novel direct load control (DLC) planning based on providing free energy credits to residential end-users for their heating, ventilation, and air conditioning load during demand response (DR) events is proposed. The obtained credit can then be used by the end-users during relatively higher price periods free-of-cost to enable them lowering their energy procurement costs. Furthermore, the resulting reduction in the total household energy consumption considerably decreases the critical load demands in power systems, which is of vital importance for load-serving entities in maintaining the balance between supply and demand during peak load periods. In this regard, the aforementioned energy credits-based incentive mechanism is proposed for end-users enrolled in the DLC-based DR program, as a new contribution to the existing literature, testing it in a stochastic day-ahead planning context.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIE.2018.2811403</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-8696-6516</orcidid><orcidid>https://orcid.org/0000-0002-3395-8253</orcidid><orcidid>https://orcid.org/0000-0002-2105-3051</orcidid><oa>free_for_read</oa></addata></record> |
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| source | IEEE Electronic Library (IEL) |
| subjects | Air conditioners Air conditioning and air conditioning (HVAC) Demand response (DR) direct load control (DLC) Electricity consumption Energy consumption Energy costs energy credit Energy management Free energy heating Load flow control Load management Load modeling Peak load Planning Power consumption Power systems Procurement Refrigerators Residential energy smart household thermostatically controllable loads (TCLs) Ventilation |
| title | Novel Incentive Mechanism for End-Users Enrolled in DLC-Based Demand Response Programs Within Stochastic Planning Context |
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