“20th PSCC 2018 papers submission and review platform

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Large-Scale Dynamic Optimal Power Flow Problems with Energy Storage Systems

In this paper, a novel approach is presented to solve large-scale Dynamic Optimal Power Flow (DOPF) problems associated with power grids containing Energy Storage Systems (ESSs), using a distributed computing architecture, referred to as a Smart Grid Communication Middleware (SGCM) system. The problem is solved by splitting the time horizon into shorter time intervals using the SGCM system, solving one iteration of a Primal Dual Interior Point Method (PDIPM) for each resulting sub-problem in parallel and exchanging boundary variables after each iteration in three different stages. The sub-problems eventually converge to a solution near to an optimal solution of the entire problem without having to solve the original DOPF Karush-Kuhn-Tucker (KKT)-conditions. The methodology is tested on the German transmission grid, where the computational effort is shown to be reduced significantly.

Author(s):

Nico Meyer-Huebner    
Karlsruhe Institute of Technology
Germany

Abolfazl Mosaddegh    
University of Waterloo
Canada

Michael Suriyah    
Karlsruhe Institute of Technology
Germany

Thomas Leibfried    
Karlsruhe Institute of Technology
Germany

Claudio A. Canizares    
University of Waterloo
Canada

Kankar Bhattacharya    
University of Waterloo
Canada

 

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