{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T17:55:23Z","timestamp":1648576523223},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>This article introduces a Hybrid Intervention Scheme Based Optimization (HIBO) algorithm solving an Optimal Reactive Power\nManagement (ORPM) problem in real-time using a Mixed Integer Linear Programming (MILP) solver. The ORPM problem presented\nhere contains a linear objective function containing four objectives separated using a set of static penalty factors for\neach area. The non-linear optimization problem has been assumed linear by localizing the search for solution, this is done\nby introducing a penalty on the change from the original state or the base case scenario. Thereby, optimizing the\nnon-linear ORPM in linear steps makes it a fast solver for small changes in power system state. A contingency analysis\n(for N-1 voltage violations) is included for ensuring the safety and reliability of the power system. The results are used\nto update the ORPM problem or stop if the system is secure. The optimization variables used to represent transformer taps\nand shunt device switches are handled as discrete integers and remaining variables as continuous real numbers. The\nintervention scheme, objectives and constraints used in the HIBO have been derived through surveys conducted at\na transmission system control center and are supported using literature. Validation of the HIBO algorithm was performed on\nthe Dutch transmission network model after dividing it into four regional areas. Convergence characteristics of the HIBO\nalgorithm are compared using results. From the results, it is concluded that the HIBO algorithm is a competitive\noptimization solver, suitable for deployment in the secondary voltage control scheme within system operations domain for\ntransmission system operators.<\/jats:p>","DOI":"10.1515\/auto-2017-0053","type":"journal-article","created":{"date-parts":[[2017,11,9]],"date-time":"2017-11-09T22:15:44Z","timestamp":1510265744000},"page":"737-748","source":"Crossref","is-referenced-by-count":0,"title":["Hybrid intervention scheme-based optimization algorithm for real-time management of reactive power resources"],"prefix":"10.1515","volume":"65","author":[{"given":"Deesh","family":"Dileep","sequence":"first","affiliation":[{"name":"Department of Computer Science, KU Leuven, Celestijnenlaan 200A \u2013 bus 2402, 3001 Leuven Belgium"}]},{"given":"Jos\u00e9 Luis","family":"Rueda Torres","sequence":"additional","affiliation":[{"name":"Department of Electrical Sustainable Energy, TU Delft, Mekelweg 4, 2628 CD Delft Netherlands"}]},{"given":"Sander","family":"Franke","sequence":"additional","affiliation":[{"name":"System Operations, TenneT TSO B.\u202fV., Utrechtseweg 310 \u2013 Postbus 718, 6800 AS Arnhem Netherlands"}]},{"given":"Peter","family":"Palensky","sequence":"additional","affiliation":[{"name":"Department of Electrical Sustainable Energy, TU Delft, Mekelweg 4, 2628 CD Delft Netherlands"}]}],"member":"374","published-online":{"date-parts":[[2017,11,9]]},"container-title":["at - Automatisierungstechnik"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/auto.2017.65.issue-11\/auto-2017-0053\/auto-2017-0053.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2017-0053\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2017-0053\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T18:30:39Z","timestamp":1624300239000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2017-0053\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,1]]},"references-count":0,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2017,11,9]]},"published-print":{"date-parts":[[2017,11,27]]}},"alternative-id":["10.1515\/auto-2017-0053"],"URL":"https:\/\/doi.org\/10.1515\/auto-2017-0053","relation":{},"ISSN":["2196-677X","0178-2312"],"issn-type":[{"value":"2196-677X","type":"electronic"},{"value":"0178-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2017,11,1]]}}}