Currents’-Physical-Component-Based Reactive Power Compensation Optimization in Three-Phase, Four-Wire Systems
In this paper, we aim to address the limited capacity of compensation devices by enhancing their utilization rate by applying the currents’ physical component (CPC) theory for reactive power optimization in three-phase four-wire systems. When reactive currents cannot be fully compensated for, we pro...
Saved in:
Published in | Applied sciences Vol. 14; no. 12; p. 5043 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.06.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | In this paper, we aim to address the limited capacity of compensation devices by enhancing their utilization rate by applying the currents’ physical component (CPC) theory for reactive power optimization in three-phase four-wire systems. When reactive currents cannot be fully compensated for, we propose using CPC theory to generate reference currents for the compensation devices. Weight coefficients associated with different reactive current components are introduced, enabling flexible combinations of these independent current components. The maximum output amplitude of the three-phase current from the compensation device serves as a constraint condition, allowing for the calculation of reference currents under various compensation targets. Additionally, a reactive current optimization compensation scheme focusing on loss reduction is selected. The simulated annealing–particle swarm optimization (SA-PSO) hybrid algorithm is employed to solve the optimization mathematical model. The discussed calculations, current waveforms, and voltage waveforms are generated using the constructed mathematical model and then used for a theoretical explanation. The simulation verifies the feasibility of the proposed method. |
---|---|
AbstractList | In this paper, we aim to address the limited capacity of compensation devices by enhancing their utilization rate by applying the currents’ physical component (CPC) theory for reactive power optimization in three-phase four-wire systems. When reactive currents cannot be fully compensated for, we propose using CPC theory to generate reference currents for the compensation devices. Weight coefficients associated with different reactive current components are introduced, enabling flexible combinations of these independent current components. The maximum output amplitude of the three-phase current from the compensation device serves as a constraint condition, allowing for the calculation of reference currents under various compensation targets. Additionally, a reactive current optimization compensation scheme focusing on loss reduction is selected. The simulated annealing–particle swarm optimization (SA-PSO) hybrid algorithm is employed to solve the optimization mathematical model. The discussed calculations, current waveforms, and voltage waveforms are generated using the constructed mathematical model and then used for a theoretical explanation. The simulation verifies the feasibility of the proposed method. |
Audience | Academic |
Author | Zhao, Xiaoying Bian, Dunxin |
Author_xml | – sequence: 1 givenname: Xiaoying surname: Zhao fullname: Zhao, Xiaoying – sequence: 2 givenname: Dunxin orcidid: 0000-0003-3309-6902 surname: Bian fullname: Bian, Dunxin |
BookMark | eNptkdFuFSEQhompibXtlS-wiZe6FRZ2YS_ridUmTdrYGi_JLAwtJ2eXFTia45Wv4ev5JNKuTRpTuGAY_v8LM_OS7E1hQkJeMXrMeU_fwTwzwZqWCv6M7DdUdjUXTO49il-Qo5TWtKyeccXoPgmrbYw45fTn1-_68naXvIFNvQrjXOBTrt9DQlt9RjDZf8fqMvzAWN0945Qg-zBVF3P2o_-5XPxUXd9GxIIqxrfVadjG-quPWF3tUsYxHZLnDjYJj_6dB-TL6Yfr1af6_OLj2erkvDaC8lxbY6VythcNOICmsWwAbkU7DFah6kzrwLaSWysdpyAd9py1gxsGzgY0TPADcrZwbYC1nqMfIe50AK_vEyHeaIjZmw1q6JVgXWNkq0B0UoFRVChqW-xYLx0rrNcLa47h2xZT1utS1lS-rzmVTem47HhRHS-qGyhQP7mQI5iyLY7elG46X_Insu8bIRRXxcAWg4khpYhOG5_v21iMfqMZ1Xdz1Y_mWjxv_vM8lPaU-i-vO6dv |
CitedBy_id | crossref_primary_10_3390_en17246215 |
Cites_doi | 10.1109/TPWRD.2007.911108 10.3390/en15218321 10.1016/j.matpr.2022.02.030 10.18178/ijeetc.10.2.83-90 10.3390/electronics9040637 10.1109/SIS.2007.368035 10.1109/TVT.2021.3108030 10.3390/en14041201 10.1016/j.engappai.2023.106099 10.1002/mma.8038 10.1109/TPEL.2004.826500 10.1109/ACCESS.2022.3185662 10.1007/s10462-020-09860-3 10.1109/PEDES56012.2022.10080664 10.1016/j.epsr.2021.107389 10.1109/TSG.2022.3144606 10.30574/gjeta.2020.3.3.0033 10.1016/j.asoc.2022.108532 10.3390/en14071815 10.3390/en17010227 10.1109/JESTPE.2020.2984475 10.1109/TFUZZ.2022.3146986 10.1109/ICATE.2016.7754600 10.1109/TPEL.2018.2828159 10.3233/IFS-151794 10.1016/j.eswa.2023.119778 10.1109/TPEL.2020.3017776 10.1016/j.epsr.2020.106296 |
ContentType | Journal Article |
Copyright | COPYRIGHT 2024 MDPI AG 2024 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 (https://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: COPYRIGHT 2024 MDPI AG – notice: 2024 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 (https://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/app14125043 |
DatabaseName | CrossRef ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials 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 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 | CrossRef Publicly Available Content Database |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering Sciences (General) |
EISSN | 2076-3417 |
ExternalDocumentID | oai_doaj_org_article_a984162c758a4678ac80480d5e6197f1 A799244838 10_3390_app14125043 |
GroupedDBID | .4S 2XV 5VS 7XC 8CJ 8FE 8FG 8FH AADQD AAFWJ AAYXX ADBBV ADMLS AFKRA AFPKN AFZYC ALMA_UNASSIGNED_HOLDINGS APEBS ARCSS BCNDV BENPR CCPQU CITATION CZ9 D1I D1J D1K GROUPED_DOAJ IAO IGS ITC K6- K6V KC. KQ8 L6V LK5 LK8 M7R MODMG M~E OK1 P62 PHGZM PHGZT PIMPY PROAC TUS PMFND ABUWG AZQEC DWQXO PKEHL PQEST PQQKQ PQUKI PRINS PUEGO |
ID | FETCH-LOGICAL-c403t-dcd78fd942afaa22d1ba3d45bbd8e86c5fad573dd7f30a7fe9315bfbb31bec143 |
IEDL.DBID | BENPR |
ISSN | 2076-3417 |
IngestDate | Wed Aug 27 01:29:00 EDT 2025 Mon Jun 30 04:35:29 EDT 2025 Tue Jun 10 21:07:52 EDT 2025 Tue Jul 01 01:31:18 EDT 2025 Thu Apr 24 22:54:33 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 12 |
Language | English |
License | https://creativecommons.org/licenses/by/4.0 |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c403t-dcd78fd942afaa22d1ba3d45bbd8e86c5fad573dd7f30a7fe9315bfbb31bec143 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ORCID | 0000-0003-3309-6902 |
OpenAccessLink | https://www.proquest.com/docview/3072250763?pq-origsite=%requestingapplication% |
PQID | 3072250763 |
PQPubID | 2032433 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_a984162c758a4678ac80480d5e6197f1 proquest_journals_3072250763 gale_infotracacademiconefile_A799244838 crossref_citationtrail_10_3390_app14125043 crossref_primary_10_3390_app14125043 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2024-06-01 |
PublicationDateYYYYMMDD | 2024-06-01 |
PublicationDate_xml | – month: 06 year: 2024 text: 2024-06-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | Basel |
PublicationPlace_xml | – name: Basel |
PublicationTitle | Applied sciences |
PublicationYear | 2024 |
Publisher | MDPI AG |
Publisher_xml | – name: MDPI AG |
References | Singh (ref_1) 2008; 23 Czarnecki (ref_19) 2007; 13 Montoya (ref_12) 2022; 45 ref_13 Hao (ref_21) 2021; 70 Liu (ref_20) 2020; 9 Elottri (ref_2) 2024; 5 Zajkowski (ref_25) 2020; 184 Wang (ref_4) 2018; 34 Ding (ref_35) 2021; 54 ref_17 ref_16 ref_15 Aje (ref_33) 2020; 3 Ekrem (ref_32) 2023; 122 (ref_14) 2022; 13 Li (ref_5) 2021; 199 Adnan (ref_28) 2021; 12 Lima (ref_18) 2022; 71 Deshpande (ref_10) 2022; 62 Cui (ref_30) 2022; 119 Salman (ref_34) 2016; 30 Pozna (ref_29) 2022; 30 ref_24 ref_23 ref_22 Nwokolo (ref_8) 2021; 10 Blanco (ref_11) 2024; 23 ref_27 Salem (ref_6) 2022; 10 Czarnecki (ref_26) 2004; 19 Arjun (ref_3) 2024; 13 ref_7 Bi (ref_31) 2023; 222 Li (ref_9) 2020; 36 |
References_xml | – volume: 23 start-page: 792 year: 2008 ident: ref_1 article-title: Selective compensation of power-quality problems through active power filter by current decomposition publication-title: IEEE Trans. Power Deliv. doi: 10.1109/TPWRD.2007.911108 – volume: 12 start-page: 1912 year: 2021 ident: ref_28 article-title: Particle swarm optimization for reactive power compensation on Oman 6 bus electrical grid publication-title: Int. J. Power Electron. Drive Syst. – ident: ref_15 doi: 10.3390/en15218321 – volume: 62 start-page: 7104 year: 2022 ident: ref_10 article-title: Analysis of Levenberg Marquardt-ANN based reference current generation for control of shunt active power filter publication-title: Mater. Today Proc. doi: 10.1016/j.matpr.2022.02.030 – volume: 10 start-page: 83 year: 2021 ident: ref_8 article-title: Performance comparison of sliding mode and instantaneous reactive power theory control techniques for three-phase active power filter publication-title: IJEEETC doi: 10.18178/ijeetc.10.2.83-90 – ident: ref_7 doi: 10.3390/electronics9040637 – volume: 71 start-page: 3159291 year: 2022 ident: ref_18 article-title: An approach for power quantification based on stockwell transform and CPC power theory publication-title: IEEE Trans. Instrum. Meas. – volume: 13 start-page: 89 year: 2007 ident: ref_19 article-title: Physical interpretation of the reactive power in terms of the CPC power theory publication-title: Electr. Power Qual. Utilisation. J. – ident: ref_27 doi: 10.1109/SIS.2007.368035 – volume: 70 start-page: 9935 year: 2021 ident: ref_21 article-title: Distributed reactive power compensation method in DC traction power systems with reversible substations publication-title: IEEE Trans. Veh. Technol. doi: 10.1109/TVT.2021.3108030 – volume: 13 start-page: 186 year: 2024 ident: ref_3 article-title: Impact of electric vehicle charging station on power quality publication-title: Int. J. Appl. Power Eng. – ident: ref_13 doi: 10.3390/en14041201 – volume: 5 start-page: 473 year: 2024 ident: ref_2 article-title: Modified SRF theory based on active power filter with quasi-Z-source inverter single-stage PV system publication-title: Stud. Eng. Exact Sci. – volume: 122 start-page: 106099 year: 2023 ident: ref_32 article-title: Trajectory planning for a 6-axis robotic arm with particle swarm optimization algorithm publication-title: Eng. Appl. Artif. doi: 10.1016/j.engappai.2023.106099 – volume: 45 start-page: 4252 year: 2022 ident: ref_12 article-title: Formulating the geometric foundation of Clarke, Park, and FBD transformations by means of Clifford’s geometric algebra publication-title: Math. Method. Appl. Sci. doi: 10.1002/mma.8038 – volume: 19 start-page: 828 year: 2004 ident: ref_26 article-title: On some misinterpretations of the instantaneous reactive power pq theory publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2004.826500 – volume: 10 start-page: 75186 year: 2022 ident: ref_6 article-title: Improved instantaneous reactive power (PQ) theory based control of DVR for compensating extreme sag and swell publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3185662 – volume: 54 start-page: 593 year: 2021 ident: ref_35 article-title: A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection publication-title: Artif. Intell. Rev. doi: 10.1007/s10462-020-09860-3 – ident: ref_22 doi: 10.1109/PEDES56012.2022.10080664 – ident: ref_23 – volume: 199 start-page: 107389 year: 2021 ident: ref_5 article-title: A comprehensive review of improving power quality using active power filters publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2021.107389 – volume: 13 start-page: 2148 year: 2022 ident: ref_14 article-title: An effective CPT-based nonintrusive load monitoring for cognitive meters publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2022.3144606 – volume: 3 start-page: 1 year: 2020 ident: ref_33 article-title: The particle swarm optimization (PSO) algorithm application–A review publication-title: Glob. J. Eng. Technol. Adv. doi: 10.30574/gjeta.2020.3.3.0033 – volume: 119 start-page: 108532 year: 2022 ident: ref_30 article-title: A multi-objective particle swarm optimization algorithm based on two-archive mechanism publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2022.108532 – ident: ref_17 doi: 10.3390/en14071815 – ident: ref_24 doi: 10.3390/en17010227 – volume: 9 start-page: 2896 year: 2020 ident: ref_20 article-title: Modified instantaneous power control with phase compensation and current-limited function under unbalanced grid faults publication-title: IEEE J. Emerg. Sel. Top. Power Electron. doi: 10.1109/JESTPE.2020.2984475 – volume: 30 start-page: 4286 year: 2022 ident: ref_29 article-title: Hybrid particle filter–particle swarm optimization algorithm and application to fuzzy controlled servo systems publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2022.3146986 – ident: ref_16 doi: 10.1109/ICATE.2016.7754600 – volume: 34 start-page: 1227 year: 2018 ident: ref_4 article-title: Minimizing inverter capacity design and comparative performance evaluation of SVC-coupling hybrid active power filters publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2018.2828159 – volume: 30 start-page: 735 year: 2016 ident: ref_34 article-title: Improving the performance of comprehensive learning particle swarm optimizer publication-title: J. Intell. Fuzzy Syst. doi: 10.3233/IFS-151794 – volume: 222 start-page: 119778 year: 2023 ident: ref_31 article-title: PSOSVRPos: WiFi indoor positioning using SVR optimized by PSO publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2023.119778 – volume: 36 start-page: 3563 year: 2020 ident: ref_9 article-title: The impact of VSFPWM on DQ current control and a compensation method publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2020.3017776 – volume: 184 start-page: 106296 year: 2020 ident: ref_25 article-title: Two-stage reactive compensation in a three-phase four-wire systems at nonsinusoidal periodic waveforms publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2020.106296 – volume: 23 start-page: 25 year: 2024 ident: ref_11 article-title: Potential use of Fryze’s approach-based power theories in waveform distortion contribution assessment publication-title: Rev. UIS Ing. |
SSID | ssj0000913810 |
Score | 2.2925634 |
Snippet | In this paper, we aim to address the limited capacity of compensation devices by enhancing their utilization rate by applying the currents’ physical component... |
SourceID | doaj proquest gale crossref |
SourceType | Open Website Aggregation Database Enrichment Source Index Database |
StartPage | 5043 |
SubjectTerms | Algorithms Analysis Control algorithms currents’ physical component theory Decomposition Mathematical optimization Methods Optimization Power supply reference current simulated annealing–particle swarm optimization hybrid algorithm weight coefficients |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LSwMxEA7iSQ9ifWC1Sg4FH7jY3SS72aMVS_GgRRS8hckmC4K2Yuvdv-Hf85c4k41SQfHiNZtdZjNvMvMNY10htbfgCPpSKUxQvEygdKjuIsfoG1COIFT5XubDW3lxp-7mRn1RTVgDD9wc3AmUdDGWVRjXAiq1hkpTG7RTHkP_og6JD_q8uWQq2OAyJeiqpiFPYF5P98GpTANg1zcXFJD6f7PHwckMVtlKjA75aUNViy348RpbnsMMXGOtqI1TfhAhow_X2STCLE3fX9-SUTz6hHR9MsblpI--yvFrD8G68RGNRuP0GJPYwBp-habjMfZk8vsxv0Eee_wUvnjMB0hXQnWyPAKcb7DbwfnN2TCJoxSSSvbELHGVK3TtSplBDZBlLrUgnFTWOu11XqkanCqEc0UtelDUvhSpsrW1IkUmY0y1yRbHSPEW495B7rxFPVcgFQGWlbkvVI3Bhq-0kG129Hm6poo44zTu4sFgvkGsMHOsaLPu1-anBl7j5219YtPXFsLEDgsoKSZKivlLUtpsn5hsSHORoApiAwL-FmFgmdOixGRUaqHbrPMpByaq9NSgMUTb10N7vP0f1OywpQzjo6bqrMMWZ88vfhfjm5ndC6L8AVIt-E4 priority: 102 providerName: Directory of Open Access Journals |
Title | Currents’-Physical-Component-Based Reactive Power Compensation Optimization in Three-Phase, Four-Wire Systems |
URI | https://www.proquest.com/docview/3072250763 https://doaj.org/article/a984162c758a4678ac80480d5e6197f1 |
Volume | 14 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LbxMxEB7R9gKHihYQgRL5UImHsMiu7V3vCTWooeJQoqqVerPGj0VIkJQmvfM3-Hv8EmYcJxQJuO56V979Zsbz-fENwKHSNnmMLH1pDBGUpCV2kdxdNZR9I9kR5l2-p83Jhf5waS7LhNuibKtcx8QcqOM88Bz5G7JFMj1i3ert1TfJVaN4dbWU0NiCHQrBlsjXzvj4dHq2mWVh1UtbjVYH8xTxe14XrnSVhbv-GIqyYv-_4nIebCb3YbdkieJoBese3Emzfbh3SztwH_aKVy7EiyId_fIBzIvc0uLn9x9yWiCQ7PPzGV2WYxqzojhLmKOcmHKJNMG3icxmiMRHCiFfy9lM8XkmzgnrRK-iB1-LCfVL8n5ZUYTOH8LF5Pj83YksJRVk0CO1lDHE1vax0zX2iHUdK48qauN9tMk2wfQYTatibHs1wrZPnaqM771XFYFNudUj2J5Rjx-DSBGbmDz5u0FtWLisa1Jreko6UrBKD-DV-u-6UPTGuezFF0e8g6Fwt6AYwOGm8dVKZuPvzcYM06YJa2PnC_PrT664msOOl1LrQEwIaRiwGCwfnI8mEVls-2oAzxlkxx5MHQpYDiLQZ7EWljtqOyKl2io7gIO1Hbji2gv32xCf_P_2U7hbUwa02ld2ANvL65v0jDKYpR_Clp28HxZjHeZ5gF_aTfRE |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NbtQwEB6VcgAOiBYQCwV8KCogLDaxnTgHhFpg2f5QKrSVejOO7VSVYLd0FyFuvAYvwUPxJMw4ztJKhVuvtmM5mc_zE3u-AVgVUofaeqK-VAoDlCC5rTxud1Gg920RRzbe8t0thvty60AdLMCvLheGrlV2OjEqaj9x9I_8OWIRoYdRt3h5_IVT1Sg6Xe1KaLSw2A7fv2HINn2x-Rrl-yjPB29Gr4Y8VRXgTvbFjHvnS934Sua2sTbPfVZb4aWqa6-DLpxqrFel8L5sRN-WTahEpuqmrkWG74vuBc57CS5LISraUXrwdv5Phzg2ddZv0wCxv0-n0JnMIk3YGcMX6wP8ywpE0za4AdeTT8rWWxAtwUIYL8O1U0yFy7CUdMCUPU5E1U9uwiSRO01___jJ95LAOWmYyRib-QZaSM8-BBt1KtujgmyMujF0joBg71FhfU6ZoOxozEaIrIBT4YPP2ADXxel2Lku06rdg_0I-9W1YHOOK7wAL3hY-1KhdlJWKaNKqIpSqQRcnOC1kD552X9e4xG5ORTY-GYxySBTmlCh6sDoffNySepw_bIPENB9CTNyxYXJyaNLGNraig9vcYdxl0eho6zSl6XsVMDQtm6wHayRkQ_oCF-RsSnvA1yLmLbNeVhgCSy10D1Y6HJikSKbmL-zv_r_7IVwZjt7tmJ3N3e17cDVH36u90bYCi7OTr-E--k6z-kEELIOPF71D_gAbeDFc |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NbtQwEB6VrYTggGgBsaWAD0X8iKhJbCfOAaEu7aqlaFlVrdSb8V8QEt0t3UVVb7wGr8Lj8CTMJM5SJODWq-NYTubfnvkGYIMLFazxBH0pJQYoQSSm8ijuvEDv2yAfmSbLd1TsHom3x_J4CX50tTCUVtnpxEZR-6mjM_JN5EVkPYy6-WYd0yLG28PXp18S6iBFN61dO42WRfbDxTmGb7NXe9tI6yd5Ptw5fLObxA4DiRMpnyfe-VLVvhK5qY3Jc59Zw72Q1noVVOFkbbwsufdlzVNT1qHimbS1tTzDb0dXA9e9BsslRkVpD5YHO6PxweKEhxA3VZa2RYGcVyndSWcia0DD_jCDTbeAf9mExtANb8Ot6KGyrZalVmApTFbh5iXcwlVYiRphxp5F2Ornd2AaoZ5mP799T8aR_Anpm-kEh5MB2kvPDoJpNCwbU3s2Ro8xkG7Yg71H9XUS60LZpwk7RD4LuBS--JINcV8J5eqyCLJ-F46u5Gffg94Ed3wfWPCm8MGirpFGSAJNq4pQyhodnuAUF3140f1d7SLWObXc-Kwx5iFS6Euk6MPGYvJpC_Hx92kDItNiCuFyNwPTs486irk2FV3j5g6jMIMmSBmnqGjfy4CBallnfXhKRNakPXBDzsQiCPwswuHSW2WFAbFQXPVhveMDHdXKTP8WgrX_P34M11E69Lu90f4DuJGjI9amt61Db372NTxER2puH0WOZfDhqoXkF_qENu4 |
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=Currents%E2%80%99-Physical-Component-Based+Reactive+Power+Compensation+Optimization+in+Three-Phase%2C+Four-Wire+Systems&rft.jtitle=Applied+sciences&rft.au=Zhao%2C+Xiaoying&rft.au=Bian%2C+Dunxin&rft.date=2024-06-01&rft.issn=2076-3417&rft.eissn=2076-3417&rft.volume=14&rft.issue=12&rft.spage=5043&rft_id=info:doi/10.3390%2Fapp14125043&rft.externalDBID=n%2Fa&rft.externalDocID=10_3390_app14125043 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2076-3417&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2076-3417&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2076-3417&client=summon |