Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About

About

Bernardo Silva completed the Integrated Master Degree in Electrical and Computer Engineering at FEUP, specializing in energy systems. In 2014 he completed his PhD in Sustainable Energy Systems at FEUP / MIT Portugal. Since joining INESCTEC in March 2009, he has been involved in scientific projects and consulting in the area of integration of renewable sources in the electrical system as well as in the steady state and dynamic analysis of electrical systems. Since 2016 Portuguese representative on the Committee B4 (HVDC) of Cigré. Awards: Honorable Mention - 2009 REN Award - with the thesis of Master Winner of the APREN 2016 Award with the PhD thesis.

Interest
Topics
Details

Details

  • Name

    Bernardo Silva
  • Role

    Area Manager
  • Since

    15th April 2009
  • Nationality

    Portugal
  • Contacts

    +351222094230
    bernardo.silva@inesctec.pt
047
Publications

2024

Stochastic optimization framework for hybridization of existing offshore wind farms with wave energy and floating photovoltaic systems

Authors
Kazemi-Robati, E; Silva, B; Bessa, RJ;

Publication
JOURNAL OF CLEANER PRODUCTION

Abstract
Due to the complementarity of renewable energy sources, there has been a focus on technology hybridization in recent years. In the area of hybrid offshore power plants, the current research projects mostly focus on the combinational implementation of wind, solar, and wave energy technologies. Accordingly, considering the already existing offshore wind farms, there is the potential for the implementation of hybrid power plants by adding wave energy converters and floating photovoltaics. In this work, a stochastic sizing model is developed for the hybridization of existing offshore wind farms using wave energy converters and floating photovoltaics considering the export cable capacity limitation. The problem is modeled from an investor perspective to maximize the economic profits of the hybridization, while the costs and revenues regarding the existing units and the export cable are excluded. Furthermore, to tackle the uncertainties of renewable energy generation, as well as the energy price, a scenario generation method based on copula theory is proposed to consider the dependency structure between the different random variables. Altogether, the hybridization study is modeled in a mixed integer linear programming optimization framework considering the net present value of the project as the objective function. The results showed that hybrid-sources-based energy generation provided the highest economic profit in the studied cases in the different geographical locations. Furthermore, the technical specifications of the farms have also been considerably improved providing more stable energy generation, guaranteeing a minimum level of power in a high share of the time, and with a better utilization of the capacity of the cable while the curtailment of energy is maintained within the acceptable range.

2023

A Data-Driven Approach to Estimate the Flexibility Maps in Multiple TSO-DSO Connections

Authors
Silva, J; Sumaili, J; Silva, B; Carvalho, L; Retorta, F; Staudt, M; Miranda, V;

Publication
IEEE TRANSACTIONS ON POWER SYSTEMS

Abstract
This paper presents a methodology to estimate flexibility existing on TSO-DSO borderline, for the cases where multiple TSO-DSO connections exist (meshed grids). To do so, the work conducted exploits previous developments regarding flexibility representation through the adoption of active and reactive power flexibility maps and extends the concept for the cases where multiple TSO-DSO connection exists, using data-driven approach to determine the equivalent impedance between TSO nodes, preserving the anonymity regarding sensitive grid information, such as the topology. This paper also provides numerical validation followed by real-world demonstration of the methodology proposed.

2023

Probabilistic Planning of Virtually-Hybrid Harmonic Filters in Modern Distribution Systems

Authors
Kazemi Robati, E; Hafezi, H; Sepasian, MS; Silva, B;

Publication
2023 International Conference on Smart Energy Systems and Technologies, SEST 2023

Abstract
The increasing number of Power-Electronic (PE) interfaced devices in the new generation of distribution systems results in concerns about the power quality of modern grids. Besides the loads, the harmonic-injecting devices are increasingly penetrating the generation, storage, and delivering levels of energy dispatch systems in the microgrids and the LV networks which can be easily reflected in the primary distribution systems. As an economic, applicable, and efficient solution, the passive filters can be optimized and added to the grid to absorb the harmonics. Furthermore, in the presence of controllable devices such as PE-interfaced DGs and storage units, a coordination strategy can be implemented to actively decrease the effect of the nonlinear loads. Accordingly, the idea of a virtually-hybrid filter can be developed by the use of passive filters and the coordinated active harmonic filtering strategy. In this paper, by providing an explanation for the developed coordination strategy of active filters, the probabilistic techno-economic planning of virtually-hybrid filters is studied considering the different combinations of the linear and nonlinear loads in a modern primary distribution system. Simulation results have proved that the proposed method is capable of minimizing harmonic distortions and grid loss by the use of the optimal passive filters and the suggested coordination strategy of the active devices. © 2023 IEEE.

2023

Reference Voltage Adjustment Strategies for Dynamic Voltage Compensator

Authors
Kazemi-Robati, E; Hafezi, H; Faranda, R; Silva, B;

Publication
2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

Abstract

2023

Hosting Capacity Enhancement Using Open-UPQC in LV Distribution Networks

Authors
Kazemi Robati, E; Hafezi, H; Faranda, R; Silva, B;

Publication
2023 International Conference on Smart Energy Systems and Technologies, SEST 2023

Abstract
The deviation of the demand levels of the modern LV distribution systems due to the more loads and distributed generations connected in the same grid leads to the loss of acceptable quality of voltage. These voltage quality problems occur in case of the high difference between the power of the loads and distributed generations in the same area. Accordingly, the high loading conditions lead to the bus voltage decrease while the bus voltage increment occurs in scenarios with the excess of generation. In this condition, the successful voltage stabilization in MV/LV substation can effectively suppress the deviations of the grid voltage values and increase the hosting capacity of the network. There are different custom power devices introduced in the literature which can provide the stabilization of voltage in the grids. In this paper, among the available tools, the application of Open-UPQC is examined in hosting capacity improvement maintaining a desired power quality level; this capability is provided through the successful voltage regulation in the different probable high/low loading scenarios in the grid. According to the results, while the uncoordinated operation of the series and shunt devices does not have the capability of stabilization of the base grid, the Open-UPQC has successfully maintained the voltage profile inside the limits in both the base case and in the presence of high load and PV penetration levels. It should be emphasized that the services of the Open-UPQC are provided in an economical and effective way making the solution strategy applicable in real-world cases. © 2023 IEEE.

Supervised
thesis

2023

Analysis of different strategies for inertia supply in isolated power systems

Author
Diogo da Cruz Ferreira

Institution
UP-FEUP

2022

Provision of services for TSO through distribution resources in a local market

Author
Fábio Sester Retorta

Institution
UP-FEUP

2019

Automation of Waste Sorting with Deep Learning

Author
João Soares Sousa

Institution
UP-FEUP