Distribution System Reconfiguration with Variable Demands Using the Opt-aiNet Algorithm

This paper describes the application of the Opt-aiNet algorithm to the reconfiguration problem of distribution systems considering variable demand levels. The Opt-aiNet algorithm is an optimization technique inspired in the immunologic bio system and it aims at reproducing the main properties and functions of this system. The reconfiguration problem of distribution networks with variable demands is a complex problem that aims at identifying the most adequate radial topology of the network tha...

DER and load allocation for an unbalanced distribution networks state estimator

This paper describes the work done in the 3PHASE project, regarding the development of a state estimator for distribution networks handling substantial integration of DER (Distributed Energy Resources), AMI (Advanced Metering Infrastructure) data and unbalanced and asymmetrical configurations. The load and DER power allocation presented here, as part of a DMS system, constitutes a first estimation of the network, assuming an extreme importance for other studies as it helps solve the lack of m...

Innovative Smart Grid Solutions for Network Planning and Access

Smart Grids are the cornerstone for Distribution System Operators transformation. Having new solutions to deal with historical and future problems is key to ensure a smooth transition to an advanced power system that not only integrate a large share of renewables and distributed energy resources (e.g. storage, electrical vehicles), but also requires efficient operation, better planning and exceptional customer service. EDP Distribuição is at the forefront of this transformation, as it is deve...

Using LV Real-Time Data for Pseudo-Measurements Generation in MV Distribution Networks

This paper presents a new method to generate pseudo-measurements of different electrical quantities for distribution secondary substations. The idea is to take advantage of the stronger correlation that exists between electrical variables in a given MV/LV substation and the correspondent downstream network. Autoencoders trained with historical data are integrated on an optimisation algorithm, together with real-time metering information of the LV network, for accurately estimate pseudo-measur...