Nowadays, the diffusion of renewable energy sources and electric vehicles are turning the traditional passive distribution networks into active grids, requiring Distribution Management System (DMS) to exploit Information and Communication Technology (ICT) improvements to get a smarter control through wider communication and local monitoring. In this paper, a Mixed-Integer Linear Programming (MILP) algorithm is developed to perform Volt/Var Optimization (VVO), providing the optimal setting for all the available controllable devices which minimizes power losses and violations of network constraints. Necessary linearization affects acceptably the accuracy of the computed outcomes and the resulting fast computational time makes it suitable for online application within a real DMS.

Mixed-Integer Linear optimization algorithm for Volt/Var Control on a distribution grid with renewable penetration

Massucco, S.;PONGIGLIONE, PAOLA;Saviozzi, M.;Silvestro, F.;
2017

Abstract

Nowadays, the diffusion of renewable energy sources and electric vehicles are turning the traditional passive distribution networks into active grids, requiring Distribution Management System (DMS) to exploit Information and Communication Technology (ICT) improvements to get a smarter control through wider communication and local monitoring. In this paper, a Mixed-Integer Linear Programming (MILP) algorithm is developed to perform Volt/Var Optimization (VVO), providing the optimal setting for all the available controllable devices which minimizes power losses and violations of network constraints. Necessary linearization affects acceptably the accuracy of the computed outcomes and the resulting fast computational time makes it suitable for online application within a real DMS.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11567/891022
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