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Service Restoration in DG-Integrated Distribution Networks Using an Exact Convex OPF Model

The ever-increasing requirement for reliability and quality of supply suggests to enable self-healing feature of distribution networks [1]. In the case of passive distribution systems, the restoration process relies only on topological reconfiguration [2]. Nowadays, in Active Distribution Networks (ADNs), modern, fast and efficient restoration strategies can be developed relying on network reconfiguration and also dispatchable Distributed Generation (DGs). In this paper, we propose a global optimization method for the restoration problem in a DG-integrated distribution network, aiming at restoring a maximum of loads with minimum switching operations. In order to check the technical constraints of the network (ex., line current and bus voltage constraints), the power flow equations should be included resulting in a nonlinear and nonconvex optimization problem. Recently, relaxation methods have been proposed in the literature for radial distribution networks to convert the AC optimal power flow problem into a convex optimization problem [2, 3]. However, as shown in [7] and [8], these methods fail to be exact in the networks with high level of DG penetration, which is the case in future smart grids. Therefore, in this paper, a recently published method for exact convex formulation of OPF is used making the restoration problem robust in the case of high nodal injections in the distribution network [7]. This optimization problem, including power flow constraints is formulated as a convex second-order cone programming problem and solved in the case of a 70-bus distribution network considering various fault scenarios.

Author(s):

Hossein Sekhavatmanesh    
EPFL
Switzerland

Mostafa Nick    
EPFL
Switzerland

Mario Paolone    
EPFL
Switzerland

Rachid Cherkaoui    
EPFL
Switzerland

 

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