Two-Stage Fuzzy Logic Inference Algorithm for Maximizing the Quality of Performance under the Operational Constraints of Power Grid in Electric Vehicle Parking Lots
The widespread adoption of electric vehicles (EVs) has entailed the need for the parking lot operators to satisfy the charging and discharging requirements of all the EV owners during their parking duration. Meanwhile, the operational constraints of the power grids limit the amount of simultaneous c...
Uloženo v:
| Vydáno v: | Energies (Basel) Ročník 13; číslo 18; s. 4634 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Basel
MDPI AG
01.09.2020
|
| Témata: | |
| ISSN: | 1996-1073, 1996-1073 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | The widespread adoption of electric vehicles (EVs) has entailed the need for the parking lot operators to satisfy the charging and discharging requirements of all the EV owners during their parking duration. Meanwhile, the operational constraints of the power grids limit the amount of simultaneous charging and discharging of all EVs. This affects the EV owner’s quality of experience (QoE) and thereby reducing the quality of performance (QoP) for the parking lot operators. The QoE represents a certain percentage of the EV battery required for its next trip distance; whereas, the QoP refers to the ratio of EVs with satisfied QoE to the total number of EVs during the operational hours of the parking lot. This paper proposes a two-stage fuzzy logic inference based algorithm (TSFLIA) to schedule the charging and discharging operations of EVs in such a way that maximizes the QoP for the parking lot operators under the operational constraints of the power grid. The first stage fuzzy inference system (FIS) of TSFLIA is modeled based on the real-time arrival and departure probability density functions in order to calculate the aggregated charging and discharging energies of EVs according to their next trip distances. The second stage FIS evaluates several dynamic and uncertain input parameters from the electric grid and from EVs to distribute the aggregated energy among the EVs by controlling their charging and discharging operations through preference variables. The feasibility and effectiveness of the proposed algorithm are demonstrated through the IEEE 34-node distribution system. |
|---|---|
| AbstractList | The widespread adoption of electric vehicles (EVs) has entailed the need for the parking lot operators to satisfy the charging and discharging requirements of all the EV owners during their parking duration. Meanwhile, the operational constraints of the power grids limit the amount of simultaneous charging and discharging of all EVs. This affects the EV owner’s quality of experience (QoE) and thereby reducing the quality of performance (QoP) for the parking lot operators. The QoE represents a certain percentage of the EV battery required for its next trip distance; whereas, the QoP refers to the ratio of EVs with satisfied QoE to the total number of EVs during the operational hours of the parking lot. This paper proposes a two-stage fuzzy logic inference based algorithm (TSFLIA) to schedule the charging and discharging operations of EVs in such a way that maximizes the QoP for the parking lot operators under the operational constraints of the power grid. The first stage fuzzy inference system (FIS) of TSFLIA is modeled based on the real-time arrival and departure probability density functions in order to calculate the aggregated charging and discharging energies of EVs according to their next trip distances. The second stage FIS evaluates several dynamic and uncertain input parameters from the electric grid and from EVs to distribute the aggregated energy among the EVs by controlling their charging and discharging operations through preference variables. The feasibility and effectiveness of the proposed algorithm are demonstrated through the IEEE 34-node distribution system. |
| Author | Hayes, Barry Lee, Ki-Beom Hussain, Shahid A. Ahmed, Mohamed Kim, Young-Chon |
| Author_xml | – sequence: 1 givenname: Shahid orcidid: 0000-0001-6147-403X surname: Hussain fullname: Hussain, Shahid – sequence: 2 givenname: Ki-Beom surname: Lee fullname: Lee, Ki-Beom – sequence: 3 givenname: Mohamed orcidid: 0000-0002-0507-5111 surname: A. Ahmed fullname: A. Ahmed, Mohamed – sequence: 4 givenname: Barry orcidid: 0000-0001-5171-9056 surname: Hayes fullname: Hayes, Barry – sequence: 5 givenname: Young-Chon orcidid: 0000-0002-1736-0710 surname: Kim fullname: Kim, Young-Chon |
| BookMark | eNptkVFv0zAUhS00JMbYC7_AEm9IATtO4vhxqrZRqWhDDF4tx7lOXVK72I629vfwQ3FaBAjhF1vWd865OvclOnPeAUKvKXnHmCDvwVFG26ph1TN0ToVoCko4O_vr_QJdxrgh-TBGGWPn6MfDoy8-JzUAvpkOhz1e-cFqvHQGAjgN-GocfLBpvcXGB_xRPdmtPVg34LQG_GlSo0177A2-h5CBrZo1k-shHIG7HQSVrHdqxAvvYgrKuhSPAv-Yodtge2wdvh5Bp5CTv8La6hHwvQrf5piVT_EVem7UGOHy132BvtxcPyw-FKu72-XialVo1tBUQNdyQ_te6RLquqOkZqUWLQAznDeNFk2jWtI3nam7ErTRICpCWyq4qLiBkl2g5cm392ojd8FuVdhLr6w8fvgwSBXSPJ7sOe1qUetWKFoRQXKa6DrGoa1LJijPXm9OXrvgv08Qk9z4KeQeoiyrKmsob-fEtydKBx9jAPM7lRI5L1X-WWqGyT-wtunY7lzr-D_JT7FWpzE |
| CitedBy_id | crossref_primary_10_1109_TITS_2022_3140461 crossref_primary_10_1109_ACCESS_2023_3330833 crossref_primary_10_3390_su14042305 crossref_primary_10_1109_ACCESS_2024_3388088 crossref_primary_10_1109_TITS_2023_3274608 crossref_primary_10_3390_pr9091506 crossref_primary_10_1016_j_est_2025_118308 crossref_primary_10_1016_j_prime_2022_100089 crossref_primary_10_1109_ACCESS_2024_3389295 crossref_primary_10_3390_en14227806 crossref_primary_10_1016_j_jksuci_2022_04_019 crossref_primary_10_1109_ACCESS_2024_3449848 crossref_primary_10_1109_ACCESS_2021_3069152 crossref_primary_10_1155_etep_1577715 crossref_primary_10_1016_j_jclepro_2023_138416 crossref_primary_10_1109_ACCESS_2025_3589363 crossref_primary_10_3390_en14196292 crossref_primary_10_1016_j_compbiomed_2024_109281 crossref_primary_10_1109_ACCESS_2023_3305758 crossref_primary_10_1109_JSYST_2021_3123325 crossref_primary_10_3390_en14123533 crossref_primary_10_1016_j_apenergy_2023_121939 crossref_primary_10_3390_en14227484 crossref_primary_10_3390_en15030690 crossref_primary_10_3390_en15041304 crossref_primary_10_1109_ACCESS_2023_3303963 crossref_primary_10_3390_app11115110 crossref_primary_10_3390_en14175439 crossref_primary_10_3390_en15041424 crossref_primary_10_1016_j_energy_2024_132823 crossref_primary_10_1109_JSYST_2022_3211207 crossref_primary_10_1051_itmconf_20246503009 crossref_primary_10_3390_en14164933 crossref_primary_10_3390_en14185971 crossref_primary_10_3390_electronics11233839 crossref_primary_10_3390_fi13100257 crossref_primary_10_1007_s00202_024_02251_9 crossref_primary_10_1007_s40518_022_00201_2 crossref_primary_10_1016_j_ress_2022_109073 crossref_primary_10_1016_j_scs_2024_105219 crossref_primary_10_3390_en15218085 |
| Cites_doi | 10.3390/en13123119 10.1109/TSG.2015.2403287 10.1002/er.4158 10.1109/ITCE.2019.8646425 10.1109/CCNC.2019.8651730 10.1145/3432200 10.1109/TIA.2013.2296620 10.1109/TSTE.2015.2455554 10.1016/j.rser.2016.05.033 10.1016/j.apenergy.2013.10.006 10.1109/ACCESS.2019.2917297 10.1109/PTC.2017.7981246 10.1109/TSG.2013.2251483 10.1109/ITEC.2018.8450178 10.20944/preprints201805.0241.v1 10.1109/TSTE.2013.2278544 10.1109/TVT.2018.2879927 10.1109/ACCESS.2015.2476996 10.1016/j.epsr.2017.05.017 10.1016/j.energy.2019.03.084 10.18180/tecciencia.2016.21.4 10.1155/2010/392915 10.1007/s12555-012-0305-9 10.1109/TSG.2016.2550559 10.3390/s150820373 10.1109/EEEIC.2016.7555799 10.1049/iet-smc.2019.0076 10.1109/TPWRS.2016.2609416 10.1109/PESMG.2013.6672211 10.1109/TII.2018.2886633 10.1080/18756891.2013.818190 10.1109/TSG.2011.2165227 10.1007/978-1-84628-469-4 10.1109/TTE.2017.2753403 10.1109/TSG.2011.2172697 10.1016/j.envsci.2014.06.006 10.1016/j.apenergy.2018.09.211 10.1109/TII.2015.2482919 10.1109/INTLEC.2018.8612431 10.1109/TSTE.2013.2264498 10.1109/CEC.2016.7744251 10.1109/PESGM.2016.7741105 10.1109/PTC.2015.7232618 10.3390/en10111880 10.1016/j.apenergy.2017.10.053 10.1109/ACCESS.2016.2614689 10.1109/ISGT.2011.5759191 10.1109/TSG.2014.2313617 |
| ContentType | Journal Article |
| Copyright | 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION ABUWG AFKRA AZQEC BENPR CCPQU DWQXO PHGZM PHGZT PIMPY PKEHL PQEST PQQKQ PQUKI PRINS DOA |
| DOI | 10.3390/en13184634 |
| DatabaseName | CrossRef ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials - QC ProQuest Central ProQuest One ProQuest Central Korea ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | Publicly Available Content Database CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1996-1073 |
| ExternalDocumentID | oai_doaj_org_article_d71b595c89a14090b109bb37e8523917 10_3390_en13184634 |
| GeographicLocations | United States--US |
| GeographicLocations_xml | – name: United States--US |
| GroupedDBID | 29G 2WC 2XV 5GY 5VS 7XC 8FE 8FG 8FH AADQD AAHBH AAYXX ABDBF ACUHS ADBBV ADMLS AENEX AFFHD AFKRA AFZYC ALMA_UNASSIGNED_HOLDINGS BCNDV BENPR CCPQU CITATION CS3 DU5 EBS ESX FRP GROUPED_DOAJ GX1 I-F IAO KQ8 L6V L8X MODMG M~E OK1 OVT P2P PHGZM PHGZT PIMPY PROAC TR2 TUS ABUWG AZQEC DWQXO PKEHL PQEST PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c361t-eb87f1ddac2e55b10532c98ee3f7766c966a80d6bf5b2ecfce94018197947fe23 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 38 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000580115500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1996-1073 |
| IngestDate | Tue Oct 14 19:05:14 EDT 2025 Mon Jun 30 11:06:36 EDT 2025 Sat Nov 29 07:11:38 EST 2025 Tue Nov 18 22:12:41 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 18 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c361t-eb87f1ddac2e55b10532c98ee3f7766c966a80d6bf5b2ecfce94018197947fe23 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0001-6147-403X 0000-0001-5171-9056 0000-0002-1736-0710 0000-0002-0507-5111 |
| OpenAccessLink | https://doaj.org/article/d71b595c89a14090b109bb37e8523917 |
| PQID | 2441401782 |
| PQPubID | 2032402 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_d71b595c89a14090b109bb37e8523917 proquest_journals_2441401782 crossref_primary_10_3390_en13184634 crossref_citationtrail_10_3390_en13184634 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-09-01 |
| PublicationDateYYYYMMDD | 2020-09-01 |
| PublicationDate_xml | – month: 09 year: 2020 text: 2020-09-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Basel |
| PublicationPlace_xml | – name: Basel |
| PublicationTitle | Energies (Basel) |
| PublicationYear | 2020 |
| Publisher | MDPI AG |
| Publisher_xml | – name: MDPI AG |
| References | Dubey (ref_23) 2015; 3 Mehta (ref_40) 2016; 9 ref_13 ref_56 Neyestani (ref_4) 2016; 32 ref_10 ref_54 Wang (ref_22) 2020; 4 ref_51 Kuran (ref_24) 2015; 6 ref_19 Shahidinejad (ref_44) 2011; 3 ref_17 ref_15 Vaidya (ref_21) 2020; 2 Singh (ref_12) 2012; 3 An (ref_7) 2010; 2010 ref_25 Shaaban (ref_16) 2015; 10 Kong (ref_41) 2016; 4 Shah (ref_45) 2015; 15 Mirzaei (ref_14) 2015; 12 Ma (ref_35) 2014; 50 Andrenacci (ref_36) 2017; 208 Haesen (ref_46) 2009; 25 Mu (ref_29) 2014; 114 ref_27 Rezaee (ref_30) 2013; 4 An (ref_8) 2012; 10 Cingolani (ref_50) 2013; 6 Mendoza (ref_33) 2016; 11 Li (ref_43) 2018; 232 Sah (ref_11) 2018; 15 Tan (ref_28) 2014; 5 Abdelsamad (ref_38) 2015; 6 Holtsmark (ref_55) 2014; 42 ref_32 ref_31 Wang (ref_53) 2018; 42 Hussain (ref_20) 2019; 7 ref_39 Wang (ref_52) 2016; 64 ref_37 Du (ref_34) 2019; 176 Shafiee (ref_57) 2013; 4 ref_47 Hariri (ref_6) 2018; 68 ref_42 ref_1 ref_3 ref_2 Moghaddam (ref_5) 2017; 4 Mohamed (ref_18) 2013; 5 ref_49 ref_48 ref_9 Nijhuis (ref_26) 2017; 151 |
| References_xml | – ident: ref_19 doi: 10.3390/en13123119 – volume: 6 start-page: 2942 year: 2015 ident: ref_24 article-title: A smart parking lot management system for scheduling the recharging of electric vehicles publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2015.2403287 – volume: 42 start-page: 4008 year: 2018 ident: ref_53 article-title: A review on research status and key technologies of battery thermal management and its enhanced safety publication-title: Int. J. Energy Res. doi: 10.1002/er.4158 – ident: ref_1 doi: 10.1109/ITCE.2019.8646425 – ident: ref_9 doi: 10.1109/CCNC.2019.8651730 – volume: 4 start-page: 1 year: 2020 ident: ref_22 article-title: FairCharge: A data-driven fairness-aware charging recommendation system for large-scale electric taxi fleets publication-title: Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. doi: 10.1145/3432200 – ident: ref_32 – volume: 50 start-page: 2323 year: 2014 ident: ref_35 article-title: Optimal charging of plug-in electric vehicles for a car-park infrastructure publication-title: IEEE Trans. Ind. Appl. doi: 10.1109/TIA.2013.2296620 – volume: 6 start-page: 1565 year: 2015 ident: ref_38 article-title: Probabilistic impact of transportation electrification on the loss-of-life of distribution transformers in the presence of rooftop solar photovoltaic publication-title: IEEE Trans. Sustain. Energy doi: 10.1109/TSTE.2015.2455554 – volume: 64 start-page: 106 year: 2016 ident: ref_52 article-title: A critical review of thermal management models and solutions of lithium-ion batteries for the development of pure electric vehicles publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2016.05.033 – volume: 114 start-page: 456 year: 2014 ident: ref_29 article-title: A spatial–temporal model for grid impact analysis of plug-in electric vehicles publication-title: Appl. Energy doi: 10.1016/j.apenergy.2013.10.006 – volume: 7 start-page: 65467 year: 2019 ident: ref_20 article-title: Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2917297 – ident: ref_3 doi: 10.1109/PTC.2017.7981246 – volume: 4 start-page: 1351 year: 2013 ident: ref_57 article-title: Investigating the impacts of plug-in hybrid electric vehicles on power distribution systems publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2013.2251483 – ident: ref_10 doi: 10.1109/ITEC.2018.8450178 – ident: ref_54 doi: 10.20944/preprints201805.0241.v1 – volume: 5 start-page: 577 year: 2013 ident: ref_18 article-title: Real-time energy management algorithm for plug-in hybrid electric vehicle charging parks involving sustainable energy publication-title: IEEE Trans. Sustain. Energy doi: 10.1109/TSTE.2013.2278544 – volume: 68 start-page: 129 year: 2018 ident: ref_6 article-title: A bilateral decision support platform for public charging of connected electric vehicles publication-title: IEEE Trans. Veh. Technol. doi: 10.1109/TVT.2018.2879927 – volume: 25 start-page: 371 year: 2009 ident: ref_46 article-title: The impact of charging plug-in hybrid electric vehicles on a residential distribution grid publication-title: IEEE Trans. Power Syst. – volume: 3 start-page: 1871 year: 2015 ident: ref_23 article-title: Electric vehicle charging on residential distribution systems: Impacts and mitigations publication-title: IEEE Access doi: 10.1109/ACCESS.2015.2476996 – volume: 151 start-page: 59 year: 2017 ident: ref_26 article-title: Valuation of measurement data for low voltage network expansion planning publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2017.05.017 – volume: 176 start-page: 309 year: 2019 ident: ref_34 article-title: Evaluating the technological evolution of battery electric buses: China as a case publication-title: Energy doi: 10.1016/j.energy.2019.03.084 – ident: ref_31 – volume: 11 start-page: 17 year: 2016 ident: ref_33 article-title: Estimation of electric energy required by electric vehicles based on travelled distances in a residential zone publication-title: Tecciencia doi: 10.18180/tecciencia.2016.21.4 – ident: ref_56 – volume: 2010 start-page: 1 year: 2010 ident: ref_7 article-title: Improved results on Fuzzy H∞ filter design for TS Fuzzy systems publication-title: Discret. Dyn. Nat. Soc. doi: 10.1155/2010/392915 – ident: ref_27 – volume: 10 start-page: 490 year: 2012 ident: ref_8 article-title: New stability conditions for uncertain TS fuzzy systems with interval time-varying delay publication-title: Int. J. Control Autom. Syst. doi: 10.1007/s12555-012-0305-9 – volume: 9 start-page: 299 year: 2016 ident: ref_40 article-title: Smart charging strategies for optimal integration of plug-in electric vehicles within existing distribution system infrastructure publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2016.2550559 – ident: ref_48 – volume: 15 start-page: 20373 year: 2015 ident: ref_45 article-title: Fuzzy logic-based guaranteed lifetime protocol for real-time wireless sensor networks publication-title: Sensors doi: 10.3390/s150820373 – ident: ref_15 doi: 10.1109/EEEIC.2016.7555799 – volume: 2 start-page: 4 year: 2020 ident: ref_21 article-title: Smart electric vehicle charging management for smart cities publication-title: IET Smart Cities doi: 10.1049/iet-smc.2019.0076 – ident: ref_17 – volume: 32 start-page: 2001 year: 2016 ident: ref_4 article-title: Plug-in electric vehicles parking lot equilibria with energy and reserve markets publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2016.2609416 – ident: ref_39 doi: 10.1109/PESMG.2013.6672211 – volume: 15 start-page: 3923 year: 2018 ident: ref_11 article-title: Impact of Sampling in the Operation of Vehicle to Grid and its Mitigation publication-title: IEEE Trans. Ind. Inform. doi: 10.1109/TII.2018.2886633 – volume: 6 start-page: 61 year: 2013 ident: ref_50 article-title: jFuzzyLogic: A java library to design fuzzy logic controllers according to the standard for fuzzy control programming publication-title: Int. J. Comput. Intell. Syst. doi: 10.1080/18756891.2013.818190 – volume: 3 start-page: 135 year: 2011 ident: ref_44 article-title: Profile of charging load on the grid due to plug-in vehicles publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2011.2165227 – ident: ref_37 doi: 10.1007/978-1-84628-469-4 – volume: 4 start-page: 76 year: 2017 ident: ref_5 article-title: Smart charging strategy for electric vehicle charging stations publication-title: IEEE Trans. Transp. Electrif. doi: 10.1109/TTE.2017.2753403 – volume: 3 start-page: 565 year: 2012 ident: ref_12 article-title: Implementation of vehicle to grid infrastructure using fuzzy logic controller publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2011.2172697 – volume: 42 start-page: 160 year: 2014 ident: ref_55 article-title: The Norwegian support and subsidy policy of electric cars. Should it be adopted by other countries? publication-title: Environ. Sci. Policy doi: 10.1016/j.envsci.2014.06.006 – volume: 232 start-page: 54 year: 2018 ident: ref_43 article-title: Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing publication-title: Appl. Energy doi: 10.1016/j.apenergy.2018.09.211 – volume: 12 start-page: 1963 year: 2015 ident: ref_14 article-title: A probabilistic approach to determine optimal capacity and location of electric vehicles parking lots in distribution networks publication-title: IEEE Trans. Ind. Inform. doi: 10.1109/TII.2015.2482919 – ident: ref_51 doi: 10.1109/INTLEC.2018.8612431 – ident: ref_25 – volume: 10 start-page: 483 year: 2015 ident: ref_16 article-title: Online Intelligent Demand Management of Plug-In Electric Vehicles in Future Smart Parking Lots publication-title: IEEE Syst. J. – volume: 4 start-page: 1024 year: 2013 ident: ref_30 article-title: Probabilistic analysis of plug-in electric vehicles impact on electrical grid through homes and parking lots publication-title: IEEE Trans. Sustain. Energy doi: 10.1109/TSTE.2013.2264498 – ident: ref_13 doi: 10.1109/CEC.2016.7744251 – ident: ref_42 doi: 10.1109/PESGM.2016.7741105 – ident: ref_49 doi: 10.1109/PTC.2015.7232618 – ident: ref_2 doi: 10.3390/en10111880 – volume: 208 start-page: 97 year: 2017 ident: ref_36 article-title: Determination of the level of service and customer crowding for electric charging stations through fuzzy models and simulation techniques publication-title: Appl. Energy doi: 10.1016/j.apenergy.2017.10.053 – volume: 4 start-page: 6846 year: 2016 ident: ref_41 article-title: Charging schemes for plug-in hybrid electric vehicles in smart grid: A survey publication-title: IEEE Access doi: 10.1109/ACCESS.2016.2614689 – ident: ref_47 doi: 10.1109/ISGT.2011.5759191 – volume: 5 start-page: 1774 year: 2014 ident: ref_28 article-title: Integration of plug-in hybrid electric vehicles into residential distribution grid based on two-layer intelligent optimization publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2014.2313617 |
| SSID | ssj0000331333 |
| Score | 2.429554 |
| Snippet | The widespread adoption of electric vehicles (EVs) has entailed the need for the parking lot operators to satisfy the charging and discharging requirements of... |
| SourceID | doaj proquest crossref |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database |
| StartPage | 4634 |
| SubjectTerms | Algorithms Alternative energy Electric vehicles Electricity distribution Fuzzy logic fuzzy logic inference parking lot Preferences quality of experience quality of performance Scheduling |
| SummonAdditionalLinks | – databaseName: ProQuest Central dbid: BENPR link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Nb9QwELWg5QAHvhFbCrIEFw5Rkzix4xNq0S4gwbJCBfUWxV_bSG2yJGmh-3v4ocx4vbsgEBeuiR3HmsmM38R-j5AXkDOZdIZHhcwVlm5UVCU8jrJKSyvB5IVQXmxCTKfFyYmchYJbH7ZVrmOiD9Sm1VgjP4A0hFgAEtqrxdcIVaPw72qQ0LhOdpGpDPx892g8nX3aVFlixgCEsRUvKQN8f2CbBNw44yz7LRN5wv4_4rFPMpM7__t6d8ntsLykhyt_uEeu2eY-ufUL6eAD8uP4WxvBGnNu6eRiubyiKLes6bv1yT96eDaHJw-n5xQWtPRD9b0-r5fQlcJaka44N65o6-hse-aA4lG0zjf4uLBdKDBSVAP1GhRD7zugIht909WG1g0dewEeGPmLPcWXpXgAG4d53w79Q_J5Mj5-_TYKWg2RZjwZIqsK4RJjKp3aPFcJCk5oWVjLnBCca0BVVREbrlyuUqudtjJDrjAJ8UA4m7JHZKdpG_uY0DhPHbPSGM4BvDsjMy0gk5vESOOYi0fk5dpupQ5E5jiXsxIADdq43Np4RJ5v2i5W9B1_bXWE5t-0QMptf6Ht5mX4gksjEpXLXBeyQpKwGOYolWLCFoDlAfSOyP7aM8oQB_py6xZ7_779hNxMEcn73Wv7ZGfoLuxTckNfDnXfPQtu_RN9PgSM priority: 102 providerName: ProQuest |
| Title | Two-Stage Fuzzy Logic Inference Algorithm for Maximizing the Quality of Performance under the Operational Constraints of Power Grid in Electric Vehicle Parking Lots |
| URI | https://www.proquest.com/docview/2441401782 https://doaj.org/article/d71b595c89a14090b109bb37e8523917 |
| Volume | 13 |
| WOSCitedRecordID | wos000580115500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1996-1073 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331333 issn: 1996-1073 databaseCode: DOA dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1996-1073 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331333 issn: 1996-1073 databaseCode: M~E dateStart: 20080101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1996-1073 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331333 issn: 1996-1073 databaseCode: BENPR dateStart: 20080301 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1996-1073 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331333 issn: 1996-1073 databaseCode: PIMPY dateStart: 20080301 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQ4QAHxFNsKdVIcOEQNYmTOD62aBcqsUuECiqnKH61kdqkyqZA98Cv4Ycy42TbRSBx4ZKDNZYdz9gzn-X5hrFX6DO5dCYLcpkqurpRQRVlYZBUWlqJKs-F8sUmxGKRHx_LYqPUF70JG-iBh4XbMyJSqUx1LiviZgpVFEqluLA5QijEGnT6hkJugCl_BnOO4IsPfKQccf2ebSI03yTjyW8eyBP1_3EOe-cye8Duj1Eh7A-zechu2eYRu7fBFfiY_Tz61gYYGp5YmF2uVldAVZI1HK4T9mD_7KRFpH96DhiHwrz6Xp_XK-wKGOLBQJVxBa2D4iZVACiDrPMCHy5sN94LAhXx9KUj-qXvQIXU4G1XG6gbmPq6OTjyZ3tKkwXKm6Zh3rf98gn7NJsevXkXjCUWAs2zqA-syoWLjKl0bNMU1zblsZa5tdwJkWUawVCVhyZTLlWx1U5bmRDFl8RtLJyN-VO21bSNfcYgTGPHrTQmyxBzOyMTLdABm8hI47gLJ-z1etlLPfKP07-clYhDSEXljYom7OW17MXAuvFXqQPS3rUEMWX7BrSfcrSf8l_2M2E7a92X4_ZdlhjzEPDE6Gn7f4zxnN2NCab7p2k7bKvvLu0Ldkd_7etlt8tuH0wXxcddb8H4nf-YYltxOC--_AJhqPhW |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbtNAFB1VKRKw4I0IFBgJWLCwanv8mgVCBRoaNQlZBFRWrueVWmrtYLuU5HtY843c60cCArHrgq091njsM_dl33MIeQ4-k3GjAivivsDSjbASJ7AtL5Fcc3jlUShqsYlwMomOjvh0i_zoemHwt8rOJtaGWuUSa-S74IYwFwCH9nrxxULVKPy62kloNLA41MsLSNnKV8N38H5fuO5gf_b2wGpVBSzJAqeytIhC4yiVSFf7vnBQGkHySGtmwjAIJMT_SWSrQBhfuFoaqbmHrFYckBsajUQHYPK3PQR7j2xPh-Pp53VVx2YMkj7W8KAyxu1dnTmwbbyAeb95vlog4A_7Xzu1wc3_7XHcIjfa8JnuNXi_TbZ0dodc_4VU8S75PrvILYih55oOzlerJUU5aUmHXWcj3Tudw0qqkzMKATsdJ9_Ss3QFl1KIhWnDKbKkuaHTTU8FxVa7oh7wYaGLtoBKUe201tioyvoCVJyj74tU0TSj-7XAEMz8SZ_gzVJsMMdpRnlV3iMfL-Ux3Se9LM_0A0Jt3zVMc6WCwPYCo7gnQ4hUlKO4MszYffKyw0ksW6J2XMtpDAkbYireYKpPnq3HLhp6kr-OeoNwW49ASvH6QF7M49ZCxSp0hM99GfEESdBsWCMXgoU68l0GSX2f7HRIjFs7V8YbGD789-mn5OrBbDyKR8PJ4SNyzcWqRf2n3g7pVcW5fkyuyK9VWhZP2i1FyfFlw_Ynm6RizA |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb5RAGJ40W2P04Ldxteok6sEDWWBgYA7GVNvVTduVQzX1RGE-tiQtrECtu7_HX-Gv83352NVovPXgFYbAwDPvF_M-DyHPwWcyYRS3QuGnWLpJrcThtuUlUmgBnzwM0kZsIphOw6MjEW2QH30vDG6r7G1iY6hVIbFGPgI3hLkAOLSR6bZFRDvj1_MvFipI4Z_WXk6jhcieXlxA-la9muzAt37huuPdw7fvrU5hwJKMO7Wl0zAwjlKJdLXvpw7KJEgRas1MEHAuIRdIQlvx1Pipq6WRWnjIcCUAxYHRSHoA5n8TQnLPHZDNaHIQfV5VeGzGIAFkLScqY8Ie6dyBJeRx5v3mBRuxgD98QePgxjf_51dzi9zowmq63a6D22RD53fI9V_IFu-S74cXhQWx9UzT8flyuaAoMy3ppO94pNunM5hJfXJGIZCnB8m37CxbwqUUYmTaco0saGFotO61oNiCVzYDPsx12RVWKaqgNtobddVcgEp09F2ZKZrldLcRHoI7f9In-LAUG8_xNvtFXd0jHy_lNd0ng7zI9QNCbd81TAulOLc9bpTwZAARjHKUUIYZe0he9piJZUfgjnM5jSGRQ3zFa3wNybPV2HlLW_LXUW8QeqsRSDXeHCjKWdxZrlgFTuoLX4YiQXI0G-Yo0pQFOvRdBsn-kGz1qIw7-1fFa0g-_Pfpp-QqYDXen0z3HpFrLhYzmg18W2RQl-f6Mbkiv9ZZVT7pVhclx5eN2p_hN2uM |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Two-Stage+Fuzzy+Logic+Inference+Algorithm+for+Maximizing+the+Quality+of+Performance+under+the+Operational+Constraints+of+Power+Grid+in+Electric+Vehicle+Parking+Lots&rft.jtitle=Energies+%28Basel%29&rft.au=Shahid+Hussain&rft.au=Ki-Beom+Lee&rft.au=Mohamed+A.+Ahmed&rft.au=Barry+Hayes&rft.date=2020-09-01&rft.pub=MDPI+AG&rft.eissn=1996-1073&rft.volume=13&rft.issue=18&rft.spage=4634&rft_id=info:doi/10.3390%2Fen13184634&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_d71b595c89a14090b109bb37e8523917 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1996-1073&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1996-1073&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1996-1073&client=summon |