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JuMP-dev 2018 | JuMP-based module for polynomial opt w/ complex variables | J. Sliwak & G. Bareilles
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Original title: A Julia JuMP-based module for polynomial optimization with complex variables applied to Optimal Power Flow
by Julie Sliwak & Gilles Bareilles
Integrating variable renewable generation technologies raises more and more issues in mathematical programming for power systems. In particular, there is a need for tools to model Polynomial Optimization Problems with Complex variables (POP-C) as resistive losses computation is only possible with Alternating Current (AC) modelling. To this purpose, RTE (the French transmission system operator) presents a JuMP-based module for POP-C applied to Optimal Power Flow (OPF). Computational results are presented on Preventive Security Constrained OPF (PSCOPF) datasets of the Grid Optimization Competition organized by ARPA-E. This work demonstrates the convenience of a module for POP-C to rapidly test several local or global methods.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
by Julie Sliwak & Gilles Bareilles
Integrating variable renewable generation technologies raises more and more issues in mathematical programming for power systems. In particular, there is a need for tools to model Polynomial Optimization Problems with Complex variables (POP-C) as resistive losses computation is only possible with Alternating Current (AC) modelling. To this purpose, RTE (the French transmission system operator) presents a JuMP-based module for POP-C applied to Optimal Power Flow (OPF). Computational results are presented on Preventive Security Constrained OPF (PSCOPF) datasets of the Grid Optimization Competition organized by ARPA-E. This work demonstrates the convenience of a module for POP-C to rapidly test several local or global methods.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.