A Convex Solution-Sequential Linear Programming Methodology for the Quadratized-OPF Problem
Modernization of the economic function in the operating center cand result in improved reliability as well as economic savings for power system operators. Specifically, the development of accurate and computationally efficient methods for formulating and solving the alternative current optimal power...
Saved in:
| Published in: | IEEE Power & Energy Society General Meeting pp. 1 - 5 |
|---|---|
| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
16.07.2023
|
| Subjects: | |
| ISSN: | 1944-9933 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Modernization of the economic function in the operating center cand result in improved reliability as well as economic savings for power system operators. Specifically, the development of accurate and computationally efficient methods for formulating and solving the alternative current optimal power flow (ACOPF) problem. In this paper, we utilize the Q-ACOPF formulation, which is an object-oriented quadratized formulation based on rigorous physically based mathematical modeling of the modern power system. The mathematical objects of power systems components are cast into a universal syntax that consists of linear and quadratic equations, the Quadratized Device Model (QDM) syntax. The optimization problem is constructed in an objected oriented fashion by operating solely on the component QDMs; the resulting problem consists of constraints that are at most quadratic with a quadratic objective function; hence why it is named Quadratic-OPF. We propose a convex solution-sequential linear programming (CS-SLP) approach for the solution of the Q-OPF. We introduce a generalized convexification method and apply it to the Q-OPF. The two-step CS-SLP algorithm leverages commercial convex solvers, such as Gurobi, as well as LP solvers to efficiently obtain an optimal and feasible solution. We compare the results with those obtained from mature convex formulations QC and SOC (implemented in PowerModel.js) on a five systems. |
|---|---|
| AbstractList | Modernization of the economic function in the operating center cand result in improved reliability as well as economic savings for power system operators. Specifically, the development of accurate and computationally efficient methods for formulating and solving the alternative current optimal power flow (ACOPF) problem. In this paper, we utilize the Q-ACOPF formulation, which is an object-oriented quadratized formulation based on rigorous physically based mathematical modeling of the modern power system. The mathematical objects of power systems components are cast into a universal syntax that consists of linear and quadratic equations, the Quadratized Device Model (QDM) syntax. The optimization problem is constructed in an objected oriented fashion by operating solely on the component QDMs; the resulting problem consists of constraints that are at most quadratic with a quadratic objective function; hence why it is named Quadratic-OPF. We propose a convex solution-sequential linear programming (CS-SLP) approach for the solution of the Q-OPF. We introduce a generalized convexification method and apply it to the Q-OPF. The two-step CS-SLP algorithm leverages commercial convex solvers, such as Gurobi, as well as LP solvers to efficiently obtain an optimal and feasible solution. We compare the results with those obtained from mature convex formulations QC and SOC (implemented in PowerModel.js) on a five systems. |
| Author | Sakis Meliopoulos, A. P. Ilunga, Gad |
| Author_xml | – sequence: 1 givenname: Gad surname: Ilunga fullname: Ilunga, Gad organization: Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,Georgia, USA – sequence: 2 givenname: A. P. surname: Sakis Meliopoulos fullname: Sakis Meliopoulos, A. P. organization: Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,Georgia, USA |
| BookMark | eNo1kM1OAjEURqvRREDewEVfYPD2Zzp0SQigCQQMunJBLswt1My0WmaM-PRq1G9zNidn8XXZRYiBGOMCBkKAvV1N1rNFLgHUQIJUAwEyl6IQZ6wrjMm10VrAOesIq3VmrVJXrH88vsD3cl0YIzvsecTHMbzTB1_Hqm18DNma3loKjceKz30gTHyV4j5hXfuw5wtqDrGMVdyfuIuJNwfiDy2WCRv_SWW2XE1__G1F9TW7dFgdqf_HHnuaTh7Hd9l8Obsfj-aZl6CbTCuzo6ETlqRTwzInRxrQWDDWFQ4UYincFnfoDKIxWxjmQlppaWcLRRpVj938dj0RbV6TrzGdNv9nqC_KyVdx |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IH CBEJK RIE RIO |
| DOI | 10.1109/PESGM52003.2023.10252171 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan (POP) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP) 1998-present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Economics Engineering |
| EISBN | 1665464410 9781665464413 |
| EISSN | 1944-9933 |
| EndPage | 5 |
| ExternalDocumentID | 10252171 |
| Genre | orig-research |
| GroupedDBID | 29O 6IE 6IF 6IH 6IL 6IM 6IN AAJGR AAWTH ABLEC ACGFS ADZIZ ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ CBEJK CHZPO IEGSK IJVOP M43 OCL RIE RIL RIO |
| ID | FETCH-LOGICAL-i204t-436ce8f19e2f38d5efe40a69069f7f03aad1fbacaf6aa66b08512929ec973e4a3 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 2 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001084633400009&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| IngestDate | Wed Aug 27 02:50:43 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i204t-436ce8f19e2f38d5efe40a69069f7f03aad1fbacaf6aa66b08512929ec973e4a3 |
| PageCount | 5 |
| ParticipantIDs | ieee_primary_10252171 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-July-16 |
| PublicationDateYYYYMMDD | 2023-07-16 |
| PublicationDate_xml | – month: 07 year: 2023 text: 2023-July-16 day: 16 |
| PublicationDecade | 2020 |
| PublicationTitle | IEEE Power & Energy Society General Meeting |
| PublicationTitleAbbrev | PESGM |
| PublicationYear | 2023 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| SSID | ssj0000547662 |
| Score | 2.2397258 |
| Snippet | Modernization of the economic function in the operating center cand result in improved reliability as well as economic savings for power system operators.... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 1 |
| SubjectTerms | Convex relaxations Economics Linear programming Mathematical models Object oriented modeling Optimal Power Flow (OPF) Power system reliability Runtime Sequential Linear Programming (SLP) Syntactics |
| Title | A Convex Solution-Sequential Linear Programming Methodology for the Quadratized-OPF Problem |
| URI | https://ieeexplore.ieee.org/document/10252171 |
| WOSCitedRecordID | wos001084633400009&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 | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA46BPWizom_ycFrZtqkSXuUsenBzcoUBh5G2rzAQDfZDxH_evMyO_XgwVspTSh5Ce_r6_e9j5CLSMVWFKBYbFXCpOOCFU4LplIJRmkNiQ2uJbe610sHgyz_EqsHLQwABPIZNPEy_Mu3k3KBpTJ_wmOfbVAxvq61Woq1VgUVjz20Uiu2Ds8u83b_uotthUQTTcKb1fBfRiohj3R2_vkGu6Txrcij-SrX7JE1GNfJZqUqntXJ9o_Ggvvk6Yq2kE7-TquyF-sHzrQ_z8_Uf3_6_Y3zITXrxY-g3WAkHUrs1MNY6mEhvV8Yi_vjAyy7yzv4PHrPNMhjp_3QumFfNgpsFHM5Z1KoElIXZRA7kdoEHEhusEFx5rQPjjE2coUpjVPGKFUgCIs9aoIy0wKkEQekNp6M4ZBQp2wpeWq4MYWf1mOrNHGxU9w4CSDsEWngmg1fl50yhtVyHf9x_4RsYWSwVhqpU1KbTxdwRjbKt_loNj0P8f0E87KnJA |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NSwMxEA1ShepFrRW_zcFrajbJZnePUlortnWlFQoeSnYzgYK20g8Rf71J2q168OBtCZthySTMy-y8eQhdBZJpnoEkTMuQCEM5yUzEiYwFKBlFEGqvWtKOut14MEjSFVndc2EAwBefQc09-n_5epIvXKrMnnBmo41jjG-GQjC6pGutUyoWfURSrut1aHKdNnq3HddYiNecTHitMPBLSsVHkubuP79hD1W_OXk4XUebfbQB4woqF7ziWQXt_GgteICeb3DdFZR_4CLxRXq-atqe6Bdsb6B2hzt7rjjr1c7AHS8l7ZPs2AJZbIEhflwo7XbIJ2jykDbd-059poqemo1-vUVWQgpkxKiYE8FlDrEJEmCGxzoEA4Iq16I4MZF1j1I6MJnKlZFKSZk5GMYsboI8iTgIxQ9RaTwZwxHCRupc0FhRpTJr1qKrODTMSKqMAOD6GFXdmg3flr0yhsVynfwxfonKrX6nPWzfde9P0bbzksucBvIMlebTBZyjrfx9PppNL7yvvwDSJ6pr |
| 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=proceeding&rft.title=IEEE+Power+%26+Energy+Society+General+Meeting&rft.atitle=A+Convex+Solution-Sequential+Linear+Programming+Methodology+for+the+Quadratized-OPF+Problem&rft.au=Ilunga%2C+Gad&rft.au=Sakis+Meliopoulos%2C+A.+P.&rft.date=2023-07-16&rft.pub=IEEE&rft.eissn=1944-9933&rft.spage=1&rft.epage=5&rft_id=info:doi/10.1109%2FPESGM52003.2023.10252171&rft.externalDocID=10252171 |