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Publications

Publications by CPES

2019

Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems

Authors
da Silva, DM; Costa, FB; Miranda, V; Leite, H;

Publication
International Journal of Electrical Power and Energy Systems

Abstract
This paper presents qualitative and quantitative analysis of the traveling waves induced by faults on direct current (DC) transmission lines of line-commutated converter high-voltage direct current (LCC HVDC) systems for detecting the wavefront arrival times using the boundary wavelet coefficients from real-time stationary wavelet transform (RT-SWT). The qualitative analysis takes into account the steady-state operation and the detection of the inception times of both first and second wavefronts at the converter stations. The behavior of the boundary wavelet coefficients in DC transmission lines is examined considering the effects of the main parameters that influence the detection of the traveling waves, such as mother wavelets, sampling frequency, DC transmission line terminations, electrical noises, as well as fault resistance and distance. An algorithm designed to run in real-time and able to minimize the factors that hamper the performance of traveling wave-based protection (TWP) methods is proposed to detect the first and second surge arrival times. Quantitative results are achieved based on the accuracy of one- and two-terminal fault location estimation methods, and indicate the proper operation of the presented algorithm. © 2018 Elsevier Ltd

2019

Through the looking glass: Seeing events in power systems dynamics

Authors
Miranda, V; Cardoso, PA; Bessa, RJ; Decker, I;

Publication
International Journal of Electrical Power & Energy Systems

Abstract

2019

Distribution network planning considering technology diffusion dynamics and spatial net-load behavior

Authors
Heymann, F; Silva, J; Miranda, V; Melo, J; Soares, FJ; Padilha Feltrin, A;

Publication
International Journal of Electrical Power and Energy Systems

Abstract
This paper presents a data-driven spatial net-load forecasting model that is applied to the distribution network expansion problem. The model uses population census data with Information Theory-based Feature Selection to predict spatial adoption patterns of residential electric vehicle chargers and photovoltaic modules. Results are high-resolution maps (0.02 km2) that allow distribution network planners to forecast asymmetric changes in load patterns and assess resulting impacts on installed HV/MV substation transformers in distribution systems. A risk analysis routine identifies the investment that minimizes the maximum regret function for a 15-year planning horizon. One of the outcomes from this study shows that traditional approaches to allocate distributed energy resources in distribution networks underestimate the impact of adopting EV and PV on the grid. The comparison of different allocation methods with the presented diffusion model suggests that using conventional approaches might result in strong underinvestment in capacity expansion during early uptake and overinvestment in later diffusion stages. © 2018

2019

Optimal bidding strategy for an aggregator of prosumers in energy and secondary reserve markets

Authors
Iria, J; Soares, F; Matos, M;

Publication
Applied Energy

Abstract

2019

Long-Term Impact Evaluation of Advanced Under Frequency Load Shedding Schemes on Distribution Systems with DG Islanded Operation

Authors
Issicaba, D; da Rosa, MA; Resende, FO; Santos, B; Pecas Lopes, JAP;

Publication
IEEE Transactions on Smart Grid

Abstract
This paper presents a long-term impact evaluation algorithm to assess advanced under frequency load shedding (UFLS) schemes on distribution systems with intentional islanding of distributed generation (DG). The algorithm is based on a combined discrete-continuous simulation (CDCS) model which is utilized to verify the effect of the schemes on reliability indices such as the System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI) and Energy Not Supplied (ENS). Moreover, a Polynomial Neural Network (PNN)-based approach to advanced load shedding is implemented to support DG islanding in order to illustrate the applicability of the evaluation. Simulation results highlight the long-term effect of employing UFLS to support intentional islanding of DG using an actual network from the South of Brazil. IEEE

2019

An advanced platform for power system security assessment accounting for forecast uncertainties

Authors
Pitto, A; Ciapessoni, E; Cirio, D; Omont, N; Vasconcelos, H; Carvalho, L;

Publication
International Journal of Management and Decision Making

Abstract

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