Dynamic Coordinated Active–Reactive Power Optimization for Active Distribution Network with Energy Storage Systems
This paper proposes a coordinated active–reactive power optimization model for an active distribution network with energy storage systems, where the active and reactive resources are handled simultaneously. The model aims to minimize the power losses, the operation cost, and the voltage deviation of...
Uložené v:
| Vydané v: | Applied sciences Ročník 9; číslo 6; s. 1129 |
|---|---|
| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Basel
MDPI AG
2019
|
| Predmet: | |
| ISSN: | 2076-3417, 2076-3417 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | This paper proposes a coordinated active–reactive power optimization model for an active distribution network with energy storage systems, where the active and reactive resources are handled simultaneously. The model aims to minimize the power losses, the operation cost, and the voltage deviation of the distribution network. In particular, the reactive power capabilities of distributed generators and energy storage systems are fully utilized to minimize power losses and improve voltage profiles. The uncertainties pertaining to the forecasted values of renewable energy sources are modelled by scenario-based stochastic programming. The second-order cone programming relaxation method is used to deal with the nonlinear power flow constraints and transform the original mixed integer nonlinear programming problem into a tractable mixed integer second-order cone programming model, thus the difficulty of problem solving is significantly reduced. The 33-bus and 69-bus distribution networks are used to demonstrate the effectiveness of the proposed approach. Simulation results show that the proposed coordinated optimization approach helps improve the economic operation for active distribution network while improving the system security significantly. |
|---|---|
| AbstractList | [...]the obvious drawbacks of the heuristic algorithm are that they often require long calculation time and it is easy for them to fall into local optimum. [...]more researchers focus on the exploration of the analytical methods. [...]due to the nonconvexity of power flow equations, these traditional methods can only guarantee a local optimal solution [13]. [...]convex programming methods are more desirable. [...]the R/X ratio of the distribution system is large, the P–Q is not decoupled, and active power scheduling affects the voltage as well. [...]apart from active power output, the inverter-based DG is allowed to provide reactive power as an ancillary service to further reduce power losses and improve the network voltage level [19,20,21]. [...]a joint dispatch of active and reactive resources for ADN is highly desired to take full advantage of renewable energies to reduce the operation cost and active power losses, as well as improve the voltage stability. This paper proposes a coordinated active-reactive power optimization model for an active distribution network with energy storage systems, where the active and reactive resources are handled simultaneously. The model aims to minimize the power losses, the operation cost, and the voltage deviation of the distribution network. In particular, the reactive power capabilities of distributed generators and energy storage systems are fully utilized to minimize power losses and improve voltage profiles. The uncertainties pertaining to the forecasted values of renewable energy sources are modelled by scenario-based stochastic programming. The second-order cone programming relaxation method is used to deal with the nonlinear power flow constraints and transform the original mixed integer nonlinear programming problem into a tractable mixed integer second-order cone programming model, thus the difficulty of problem solving is significantly reduced. The 33-bus and 69-bus distribution networks are used to demonstrate the effectiveness of the proposed approach. Simulation results show that the proposed coordinated optimization approach helps improve the economic operation for active distribution network while improving the system security significantly. |
| Author | Yang, Meng Jiang, Chuanwen Wang, Xu Yin, Shuo Wang, Lingling |
| Author_xml | – sequence: 1 givenname: Lingling orcidid: 0000-0002-9520-6612 surname: Wang fullname: Wang, Lingling – sequence: 2 givenname: Xu orcidid: 0000-0003-3731-8939 surname: Wang fullname: Wang, Xu – sequence: 3 givenname: Chuanwen surname: Jiang fullname: Jiang, Chuanwen – sequence: 4 givenname: Shuo surname: Yin fullname: Yin, Shuo – sequence: 5 givenname: Meng surname: Yang fullname: Yang, Meng |
| BookMark | eNptkc1qGzEQx0VxoKmTS59A0FvBrT7Wu6ujsZ0PCHFI0rMYaSVXjr3aSnKMe8o79A37JFVsk4aQucwHv_nPMPMJ9VrfGoQ-U_KNc0G-Q9cJUlLKxAd0zEhVDnhBq96r-CM6jXFBsgnKa0qOUZpsW1g5jcfeh8a1kEyDRzq5R_P36c-tgV2Ib_zGBDzrklu535Ccb7H14QDiiYspOLXe1a9N2vjwgDcu_cTT1oT5Ft8lH2Bu8N02JrOKJ-jIwjKa04Pvox9n0_vxxeBqdn45Hl0NNC9pGlCtlRalqgvNhqqyRIM1IGrGWGUrJYZ5O2VswSypITOFIHbIWaNqoRjTlvfR5V638bCQXXArCFvpwcldwYe5hJCcXhopVNlQSsshr3TRFESA1axmioucgyiy1pe9Vhf8r7WJSS78OrR5fck4z9csWc0z9XVP6eBjDMa-TKVEPj9J_n9ShskbWLu0O24K4JbvtfwD6uqZNg |
| CitedBy_id | crossref_primary_10_3390_app9204395 crossref_primary_10_1371_journal_pone_0308450 crossref_primary_10_3390_en12214028 crossref_primary_10_3390_en17102316 crossref_primary_10_1007_s13399_023_04982_4 crossref_primary_10_3389_fenrg_2022_921411 |
| Cites_doi | 10.1109/59.708745 10.1109/TSG.2015.2396688 10.1016/j.energy.2012.12.009 10.3390/app7040398 10.1109/TPWRD.2013.2285923 10.3390/app8122560 10.1109/TSG.2011.2160745 10.1109/TSG.2013.2273800 10.1016/j.renene.2015.08.072 10.1109/TPWRS.2014.2326980 10.1016/j.epsr.2016.03.021 10.3390/en11010188 10.1049/iet-gtd.2017.1078 10.1109/TPWRS.2012.2214406 10.1109/TSTE.2017.2664666 10.1049/iet-rpg.2015.0542 10.1109/TSG.2014.2375160 10.1016/j.epsr.2015.10.025 10.1109/TSG.2017.2653198 10.1016/j.ijepes.2016.11.012 10.1109/TSG.2016.2539824 10.1109/TII.2014.2299336 10.1049/iet-gtd.2016.0303 10.1109/TPWRS.2013.2280022 10.1109/TPWRS.2013.2271871 10.1109/TPWRS.2013.2255318 10.1016/j.ijepes.2013.08.010 10.1109/SIELMEN.2017.8123328 10.1109/TSTE.2014.2367550 10.1109/EMS.2015.46 10.3390/app8101957 10.1109/TPWRS.2013.2255317 10.1049/iet-gtd.2013.0803 10.3390/en11030583 10.1109/TPWRS.2017.2665562 |
| ContentType | Journal Article |
| Copyright | 2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). 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/app9061129 |
| DatabaseName | CrossRef ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central 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: ProQuest Publicly Available Content url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Sciences (General) |
| EISSN | 2076-3417 |
| ExternalDocumentID | oai_doaj_org_article_9b6d1116537c4d409afc282b397c4a94 10_3390_app9061129 |
| GroupedDBID | .4S 2XV 5VS 7XC 8CJ 8FE 8FG 8FH AADQD AAFWJ AAYXX ADBBV ADMLS AFFHD AFKRA AFPKN AFZYC ALMA_UNASSIGNED_HOLDINGS APEBS ARCSS BCNDV BENPR CCPQU CITATION CZ9 D1I D1J D1K GROUPED_DOAJ IAO IGS K6- K6V KC. KQ8 L6V LK5 LK8 M7R MODMG M~E OK1 P62 PHGZM PHGZT PIMPY PROAC TUS ABUWG AZQEC DWQXO PKEHL PQEST PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c361t-1ccbc96b84c25b7f0cafea982227f7b95eacbef42f08a4c2490f532db89b22cf3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 8 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000465017200087&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2076-3417 |
| IngestDate | Fri Oct 03 12:45:00 EDT 2025 Mon Oct 20 02:42:07 EDT 2025 Sat Nov 29 07:13:55 EST 2025 Tue Nov 18 22:34:29 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 6 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c361t-1ccbc96b84c25b7f0cafea982227f7b95eacbef42f08a4c2490f532db89b22cf3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-9520-6612 0000-0003-3731-8939 |
| OpenAccessLink | https://doaj.org/article/9b6d1116537c4d409afc282b397c4a94 |
| PQID | 2331386283 |
| PQPubID | 2032433 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_9b6d1116537c4d409afc282b397c4a94 proquest_journals_2331386283 crossref_primary_10_3390_app9061129 crossref_citationtrail_10_3390_app9061129 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-00-00 |
| PublicationDateYYYYMMDD | 2019-01-01 |
| PublicationDate_xml | – year: 2019 text: 2019-00-00 |
| PublicationDecade | 2010 |
| PublicationPlace | Basel |
| PublicationPlace_xml | – name: Basel |
| PublicationTitle | Applied sciences |
| PublicationYear | 2019 |
| Publisher | MDPI AG |
| Publisher_xml | – name: MDPI AG |
| References | Cagnano (ref_20) 2016; 86 Elsaiah (ref_2) 2014; 8 Kaloudas (ref_4) 2017; 32 Zhang (ref_39) 2018; 9 Lee (ref_38) 2015; 6 ref_12 Hu (ref_6) 2016; 131 ref_32 Yang (ref_18) 2017; 11 Sirouspour (ref_31) 2017; 8 Ding (ref_33) 2016; 11 Coath (ref_9) 2014; 29 Farivar (ref_37) 2013; 28 ref_19 Keane (ref_8) 2013; 28 Mohamadreza (ref_15) 2013; 28 Zhang (ref_23) 2016; 10 Chen (ref_30) 2012; 3 Kabir (ref_26) 2014; 10 Saraswat (ref_11) 2013; 51 Wei (ref_13) 1998; 13 Ding (ref_1) 2017; 7 Daratha (ref_35) 2014; 29 Shaw (ref_10) 2014; 55 ref_24 ref_22 ref_21 Zheng (ref_14) 2014; 7 Ding (ref_16) 2017; 88 (ref_29) 2014; 5 ref_3 Nayeripour (ref_7) 2016; 11 Bahramipanah (ref_25) 2016; 136 Farivar (ref_36) 2013; 28 Luo (ref_27) 2015; 6 Baradar (ref_17) 2015; 30 Liu (ref_34) 2014; 34 Nieto (ref_28) 2016; 5 Chen (ref_5) 2017; 8 |
| References_xml | – volume: 13 start-page: 870 year: 1998 ident: ref_13 article-title: An interior point nonlinear programming for optimal power flow problems with a novel data structure publication-title: IEEE Trans. Power Syst. doi: 10.1109/59.708745 – volume: 5 start-page: 438 year: 2016 ident: ref_28 article-title: Power quality improvement in power grids with the integration of energy storage systems publication-title: Int. J. Eng. Res. Technol. – volume: 7 start-page: 460 year: 2017 ident: ref_1 article-title: A Robust Two–level coordinated static voltage security region for centrally integrated wind farms publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2015.2396688 – volume: 51 start-page: 85 year: 2013 ident: ref_11 article-title: A novel multi–zone reactive power market settlement model: A pareto–optimization approach publication-title: Energy doi: 10.1016/j.energy.2012.12.009 – ident: ref_22 doi: 10.3390/app7040398 – volume: 29 start-page: 1666 year: 2014 ident: ref_9 article-title: Chaotic PSO–based VAR control considering renewables using fast probabilistic power flow publication-title: IEEE Trans. Power Deliv. doi: 10.1109/TPWRD.2013.2285923 – ident: ref_32 doi: 10.3390/app8122560 – volume: 3 start-page: 142 year: 2012 ident: ref_30 article-title: Sizing of energy storage for microgrids publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2011.2160745 – volume: 34 start-page: 2575 year: 2014 ident: ref_34 article-title: A mixed integer second–order cone programming based active and reactive power coordinated multi–period optimization for active distribution network publication-title: Proc. Chin. Soc. Electr. Eng. – volume: 5 start-page: 1088 year: 2014 ident: ref_29 article-title: Optimal operation of independent storage systems in energy and reserve markets with high wind penetration publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2013.2273800 – volume: 86 start-page: 664 year: 2016 ident: ref_20 article-title: A decentralized voltage controller involving PV generators based on Lyapunov theory publication-title: Renew. Energy doi: 10.1016/j.renene.2015.08.072 – volume: 30 start-page: 546 year: 2015 ident: ref_17 article-title: AC power flow representation in conic format publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2014.2326980 – volume: 136 start-page: 370 year: 2016 ident: ref_25 article-title: Decentralized voltage control of clustered active distribution network by means of energy storage systems publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2016.03.021 – ident: ref_12 doi: 10.3390/en11010188 – volume: 11 start-page: 4115 year: 2017 ident: ref_18 article-title: Solving OPF using linear approximations: Fundamental analysis and numerical demonstration publication-title: IET Gener. Transm. Distrib. doi: 10.1049/iet-gtd.2017.1078 – volume: 28 start-page: 1493 year: 2013 ident: ref_8 article-title: State–of–the–art techniques and challenges ahead for distributed generation planning and optimization publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2012.2214406 – volume: 8 start-page: 1166 year: 2017 ident: ref_31 article-title: Coordinated optimal dispatch of energy storage in a network of grid–connected microgrids publication-title: IEEE Trans. Sustain. Energy doi: 10.1109/TSTE.2017.2664666 – volume: 10 start-page: 1105 year: 2016 ident: ref_23 article-title: Optimal allocation of battery energy storage systems in distribution networks with high wind power penetration publication-title: IET Renew. Power Gener. doi: 10.1049/iet-rpg.2015.0542 – volume: 6 start-page: 836 year: 2015 ident: ref_38 article-title: Robust distribution network reconfiguration publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2014.2375160 – volume: 131 start-page: 264 year: 2016 ident: ref_6 article-title: Coordinated voltage control of a decoupled three–phase on–load tap changer transformer and photovoltaic inverters for managing unbalanced networks publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2015.10.025 – volume: 9 start-page: 4236 year: 2018 ident: ref_39 article-title: Robust Coordination of distributed generation and price–based demand response in microgrids publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2017.2653198 – volume: 88 start-page: 13 year: 2017 ident: ref_16 article-title: A bi–objective DC–optimal power flow model using linear relaxation–based second order cone programming and its Pareto Frontier publication-title: Int. J. Electr. Power doi: 10.1016/j.ijepes.2016.11.012 – volume: 8 start-page: 1987 year: 2017 ident: ref_5 article-title: Optimized reactive power supports using transformer tap stagger in distribution networks publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2016.2539824 – volume: 10 start-page: 967 year: 2014 ident: ref_26 article-title: Coordinated control of grid connected photovoltaic reactive power and battery energy storage systems to improve the voltage profile of a residential distribution feeder publication-title: IEEE Trans. Ind. Inform. doi: 10.1109/TII.2014.2299336 – volume: 11 start-page: 37 year: 2016 ident: ref_33 article-title: Sensitivity–based relaxation and decomposition method to dynamic reactive power optimization considering DGs in active distribution networks publication-title: IET Gener. Transm. Distrib. doi: 10.1049/iet-gtd.2016.0303 – volume: 29 start-page: 289 year: 2014 ident: ref_35 article-title: Coordination between OLTC and SVC for voltage regulation in unbalanced distribution system distributed generation publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2013.2280022 – volume: 28 start-page: 4282 year: 2013 ident: ref_15 article-title: Second–order cone programming for optimal power flow in VSC–type–AC–DC grids publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2013.2271871 – volume: 28 start-page: 2565 year: 2013 ident: ref_37 article-title: Branch flow model: Relaxations and convexification—Part II publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2013.2255318 – volume: 55 start-page: 29 year: 2014 ident: ref_10 article-title: Solution of reactive power dispatch of power systems by an opposition–based gravitational search algorithm publication-title: Int. J. Electr. Power doi: 10.1016/j.ijepes.2013.08.010 – ident: ref_21 doi: 10.1109/SIELMEN.2017.8123328 – volume: 6 start-page: 253 year: 2015 ident: ref_27 article-title: Coordinated operational planning for wind farm with battery energy storage system publication-title: IEEE Trans. Sustain. Energy doi: 10.1109/TSTE.2014.2367550 – ident: ref_3 doi: 10.1109/EMS.2015.46 – ident: ref_24 doi: 10.3390/app8101957 – volume: 28 start-page: 2554 year: 2013 ident: ref_36 article-title: Branch flow model: Relaxations and convexification—Part I publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2013.2255317 – volume: 8 start-page: 1039 year: 2014 ident: ref_2 article-title: An analytical approach for placement and sizing of distributed generators on power distribution system publication-title: IET Gener. Transm. Distrib. doi: 10.1049/iet-gtd.2013.0803 – volume: 11 start-page: 1223 year: 2016 ident: ref_7 article-title: Online hierarchical and distributed method for voltage control in distribution smart grids publication-title: IET Gener. Transm. Distrib. – ident: ref_19 doi: 10.3390/en11030583 – volume: 32 start-page: 4278 year: 2017 ident: ref_4 article-title: Assessing the future trends of reactive power demand of distribution networks publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2017.2665562 – volume: 7 start-page: 1021 year: 2014 ident: ref_14 article-title: A fully distributed reactive power optimization and control method for active distribution networks publication-title: IEEE Trans. Smart Grid |
| SSID | ssj0000913810 |
| Score | 2.139566 |
| Snippet | This paper proposes a coordinated active–reactive power optimization model for an active distribution network with energy storage systems, where the active and... [...]the obvious drawbacks of the heuristic algorithm are that they often require long calculation time and it is easy for them to fall into local optimum.... This paper proposes a coordinated active-reactive power optimization model for an active distribution network with energy storage systems, where the active and... |
| SourceID | doaj proquest crossref |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database |
| StartPage | 1129 |
| SubjectTerms | active distribution network Algorithms Alternative energy sources distribution generation dynamic coordinated optimization Electricity Electricity distribution Energy management energy storage system Heuristic Methods mixed integer second-order cone programming Monte Carlo simulation Normal distribution Optimization Renewable resources Scheduling Wind farms Wind power |
| SummonAdditionalLinks | – databaseName: ProQuest Central dbid: BENPR link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1NTxsxEB2VwAEOpXxUDaWVpfYAhxVZ21nbpypAUA8oRLQgbqu110ZIbQJJ2jP_of-wv6QzXidBouqlp931zsHS2OM3Y_s9gI9Wem2ksVmhMV2V-Jlp43XWrYW2ihc1jwdkr8_VYKBvbswwFdym6VjlPCbGQF2PHdXIj7gQuUD4rcWn-4eMVKNodzVJaKzAKjGV4ThfPe4PhpeLKguxXuq80_CSCszvaV_Y4BqWR0y5XIkiYf-zeBwXmbPN_-3eK3iZ4CXrNeNhC1740TZsPCEd3IatNJ2n7CBxTh_uwOy0UaZnJ2PMRu9GiEBr1oux8Pfjr0tfxVc2JE01doFh5nu6v8kQ9CZDdkokvEk_iw2a8-WMCr2sH28Ysi-Y4GP8YokmfReuzvpfTz5nSZAhc6LIZ1nunHWmsFo63rUqdFwVfEUMgFwFZU0Xe2N9kDx0dIU20nRCV_DaamM5d0G8htZoPPJvgJFYaZA20A0mfPBKIbDKa6O4V14L14bDuXNKl9jKSTTjW4lZCzmyXDqyDR8WtvcNR8dfrY7JxwsL4tWODePJbZmmaWlsUefESCSUkzXmvlVwmJRaRG1OVka2YX_u_jJN9mm59P3ev3-_hXXEW6ap4OxDazb54d_Bmvs5u5tO3qex-wfDYPww priority: 102 providerName: ProQuest |
| Title | Dynamic Coordinated Active–Reactive Power Optimization for Active Distribution Network with Energy Storage Systems |
| URI | https://www.proquest.com/docview/2331386283 https://doaj.org/article/9b6d1116537c4d409afc282b397c4a94 |
| Volume | 9 |
| WOSCitedRecordID | wos000465017200087&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: 2076-3417 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: DOA dateStart: 20110101 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: 2076-3417 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: M~E dateStart: 20110101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: BENPR dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Publicly Available Content customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: PIMPY dateStart: 20110101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEB5EPehBfOLqKgE96KG4TbJNcnR1RUHX4gs9lSZNQNBV3NWz_8F_6C9xkkZdUPDiqU0ZaMhMZubL4xuATc2tVFzpJJMIVzk2E6msTNoVk1rQrKLhgOzVsej15PW1ykdKffkzYTU9cD1wO0pnVeo5YpgwvEI0UjqDMEFjHDW8VIEJtCXUCJgKPlilnrqq5iNliOv9frDC2JWGXPI7AgWi_h9-OASXg1mYiVkh2a17Mwdjtj8P0yNcgfMwF2fhgGxFqujtBRju1wXlyd4DgsjbPiaOFdkNLuz99e3MluGV5L4UGjlF73Afr10SzFWjINn33Lmx7BXp1cfCiV-fJd1wMZCcIy5Ht0Miu_kiXB50L_YOk1hHITEsS4dJaow2KtOSG9rWwrVM6WzpifuocEKrNvZGW8epa8kSZbhquTajlZZKU2ocW4Lx_kPfLgPxNUYd185fPMIHLQXmQ2mlBLXCSmYasP05toWJJOO-1sVdgWDD66H41kMDNr5kH2tqjV-lOl5FXxKeDjt8QCMpopEUfxlJA5qfCi7iHB0UlDE0kgzzq5X_-McqTGEyperlmSaMD5-e7RpMmpfh7eBpHSY63V5-th7MFFv50Ul-8wEHwe-E |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3NbtQwEB6VLRJwAFpALBSwBEj0EJHY3sQ-IFS6rbrqdllBqcopxI5drUSzZTeAeuMdeA8eiidh7Di7SCBuPXDK3yiKnM-fZ8b2NwBPFDdCcqmiVGC4yvEyEtKIqFcyoTKaltQvkD0aZqOROD6W4xX40e6FccsqW070RF1OtcuRP6eMJQzdb8Fenn2KXNUoN7valtBoYLFvzr9iyDZ_Mejj_31K6e7O4fZeFKoKRJqlSR0lWistUyW4pj2V2VgX1hROxo5mNlOyh1SkjOXUxqJAGy5j22O0VEIqSrVl-N5LsMod2DuwOh4cjN8vsjpOZVMkcaODypiM3Ty0xDEz8T7scuTzBQL-4H8_qO3e-N-a4yZcD-4z2WrwvgYrplqHa7-JKq7DWqCrOXkWNLU3b0HdP6-K04km21P81kmFHnZJtjzX__z2_Y0p_CkZu5px5DXS6GnYn0rQqQ-GpO9EhkN9MDJq1s8Tl8gmO34HJXlbY4c6MSTIwN-GdxfSFnegU00rcxeIK8ZqubJuhxYeaJGh45iUMqMmM4LpLmy2YMh1UGN3RUE-5hiVOeDkS-B04fHC9qzRIPmr1SuHqYWF0w33N6azkzzQUC5VWiZOcYllmpcY2xdWY9Ct0CvVvJC8Cxst3PJAZvN8ibV7_378CK7sHR4M8-FgtH8frqJvKZts1QZ06tln8wAu6y_1ZD57GPoNgQ8Xjc1fzytcZQ |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3NbtQwEB6VLULlUGgBdWkLlgCJHqImtjexDwi13a5YtSwRP1U5hdixq5VotuwGUG-8A2_D4_AkjBNnFwnErQdO-RtFkfN55hv_fAPwWHEjJJcqiAWmqxwvAyGNCHoFEyqhcUHrBbInx8loJE5PZboEP9q9MG5ZZesTa0ddTLQbI9-ljEUM6bdgu9Yvi0j7g-cXnwJXQcrNtLblNBqIHJnLr5i-zZ4N-_ivn1A6OHx78CLwFQYCzeKoCiKtlZaxElzTnkpsqHNrcidpRxObKNlDt6SM5dSGIkcbLkPbY7RQQipKtWX43muwjJSc0w4sp8OX6fv5CI9T3BRR2GiiMiZDNyctMX5GNZ9dRMG6WMAfsaAOcINb_3PT3IZVT6vJXtMP1mDJlOtw8zexxXVY825sRp56re2dO1D1L8v8fKzJwQS_dVwi8y7IXh0Dfn77_trk9SlJXS058grd67nft0qQ7HtD0nfiw75uGBk16-qJG-Amh_XOSvKmwo52ZoiXh78L766kLe5Bp5yUZgOIK9JqubJu5xYeaJ4goYwKmVCTGMF0F3ZaYGTaq7S7YiEfM8zWHIiyBYi68Ghue9Fok_zVat_ha27h9MTrG5PpWebdUyZVXEROiYklmheY8-dWYzKukK1qnkveha0Wepl3crNsgbv7_378EG4gILPj4ehoE1aQcspmEGsLOtX0s9mG6_pLNZ5NH_guRODDVUPzFzKrZSU |
| 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=Dynamic+Coordinated+Active%E2%80%93Reactive+Power+Optimization+for+Active+Distribution+Network+with+Energy+Storage+Systems&rft.jtitle=Applied+sciences&rft.au=Lingling+Wang&rft.au=Xu+Wang&rft.au=Chuanwen+Jiang&rft.au=Shuo+Yin&rft.date=2019&rft.pub=MDPI+AG&rft.eissn=2076-3417&rft.volume=9&rft.issue=6&rft.spage=1129&rft_id=info:doi/10.3390%2Fapp9061129&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_9b6d1116537c4d409afc282b397c4a94 |
| 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 |