{"645639":{"#nid":"645639","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Gad Ilunga","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EAutonomous Quadratized Optimal Power Flow via Convex Solution - Sequential Linear Programming (CS-SLP)\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Meliopoulos, Advisor\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Molzahn, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Grijalva\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to develop new computational methods for the economical and reliable operation of power systems in the presence of FACT devices. Specifically, a generalized convexification method for the high fidelity quadratized optimal power flow and an OPF solution algorithm named Convex Solution-Sequential Linear Programming (CS-SLP). CS-SLP starts by solving the convex quadratic optimal power flow with a commercial convex solver. Then starting from the convex solution, the initial problem is solved using SLP. Achievement of the objective will occur through the following contributions: (1) High fidelity Physically-based device modeling that is cast into a universal object-oriented syntax, allowing for the integration of detailed models of power electronics-based resources (PER) such as a UPFC;\u0026nbsp;\u0026nbsp;(2) The use of the universal object-oriented syntax allowing for the seamless integration of protection, optimization, and control, as well as the integration of the network model in different OPF applications; (3) The use of the universal syntax to form the OPF allows for the convexification of the problem around the current operating point by\u0026nbsp;minimal relaxation (minimal term additions). (4) SLP based on the co-state method is used to correct for the convexification error. It efficiently linearizes the problem around the present operating conditions, resulting in a problem in terms of control variables.\u0026nbsp;\u0026nbsp;It features dynamic limits on control movement (ensuring that the linearized model remains in the valid region) and adaptive introduction\/removal of model constraints.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Autonomous Quadratized Optimal Power Flow via Convex Solution - Sequential Linear Programming (CS-SLP)"}],"uid":"28475","created_gmt":"2021-03-23 14:30:31","changed_gmt":"2021-03-23 14:30:31","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-29T11:00:00-04:00","event_time_end":"2021-03-29T13:00:00-04:00","event_time_end_last":"2021-03-29T13:00:00-04:00","gmt_time_start":"2021-03-29 15:00:00","gmt_time_end":"2021-03-29 17:00:00","gmt_time_end_last":"2021-03-29 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}