Detalhes
Nome
Gil Silva SampaioCluster
EnergiaCargo
InvestigadorDesde
10 março 2014
Nacionalidade
PortugalCentro
Centro de Sistemas de EnergiaContactos
+351222094230
gil.s.sampaio@inesctec.pt
2022
Autores
Sampaio, G; Bessa, RJ; Goncalves, C; Gouveia, C;
Publicação
ELECTRIC POWER SYSTEMS RESEARCH
Abstract
The deployment of smart metering technologies in the low voltage (LV) grid created conditions for the application of data-driven monitoring and control functions. However, data privacy regulation and consumers’ aversion to data sharing may compromise data exchange between utility and customers. This work presents a data-driven method, based on smart meter data, to estimate linear sensitivity factors for three-phase unbalanced LV grids, which combines a privacy-preserving protocol and varying coefficients linear regression. The proposed method enables centralized and peer-to-peer learning of the sensitivity factors. Potential applications for the sensitivity factors are demonstrated by solving voltage violations or computing operating envelopes in a LV grid without resorting to its network topology or electrical parameters. © 2022 Elsevier B.V.
2021
Autores
Menci, SP; Bessa, RJ; Herndler, B; Korner, C; Rao, BV; Leimgruber, F; Madureira, AA; Rua, D; Coelho, F; Silva, JV; Andrade, JR; Sampaio, G; Teixeira, H; Simoes, M; Viana, J; Oliveira, L; Castro, D; Krisper, U; Andre, R;
Publicação
ENERGIES
Abstract
2018
Autores
Bessa, R; Sampaio, G; Miranda, V; Pereira, J;
Publicação
2018 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC)
Abstract
2013
Autores
Sampaio, GS; Saraiva, JT; Sousa, JC; Mendes, VT;
Publicação
International Conference on the European Energy Market, EEM
Abstract
This paper describes an approach to the short term operation planning of hydro stations in market environment. The developed approach is based on the solution of an optimization problem to maximize the profit of a generation agent along a planning period discretized in hourly steps using a Genetic Algorithm. This problem includes the possibility of pumping since this is an important resource in the scope of electricity markets. The scheduling problem was developed starting with an initial simplified version in which the head loss is neglected and the head is assumed constant. Then, it was implemented a second model in which the nonlinear relation between the head, the hydro power and the water discharge is retained and finally an approach in which the hydro schedule obtained in a given step is used to update the hourly electricity prices used to compute the profit of the generation agent. The short term hydro scheduling problem is illustrated using two Case Studies - the first one was designed to run a set of initial tests to the developed algorithm and the second one refers to a set of hydro stations that mirrors a cascade of 8 stations in Portugal. © 2013 IEEE.
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