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About

About

My affiliation with INESC TEC started in 2014 with an internship under the scope of my Msc thesis and after finishing the course in Electrical and Computers Engineering at FEUP I applied for a research position. I've been working in the area of Energy Analytics at the CPES center, focusing my research in areas such as: integration of renewable energy sources, optimization problems, forecasting task (wind and solar power, electricity market prices, etc). In 2015 I enrolled in the MIT Portugal PhD program on Sustainable Energy Systems.

Interest
Topics
Details

Details

  • Name

    Jorge Miguel Filipe
  • Cluster

    Power and Energy
  • Role

    Researcher
  • Since

    21st March 2014
001
Publications

2018

Optimal bidding strategy for variable-speed pump storage in day-ahead and frequency restoration reserve markets

Authors
Filipe, J; Bessa, RJ; Moreira, C; Silva, B;

Publication
Energy Systems

Abstract

2017

On the Profitability of Variable Speed Pump-Storage-Power in Frequency Restoration Reserve

Authors
Filipe, J; Bessa, R; Moreira, C; Silva, B;

Publication
Journal of Physics: Conference Series

Abstract
The increase penetration of renewable energy sources (RES) into the European power system has introduced a significant amount of variability and uncertainty in the generation profiles raising the needs for ancillary services as well as other tools like demand response, improved generation forecasting techniques and changes to the market design. While RES is able to replace energy produced by the traditional centralized generation, it cannot displace its capacity in terms of ancillary services provided. Therefore, centralized generation capacity must be retained to perform this function leading to over-capacity issues and underutilisation of the assets. Large-scale reversible hydro power plants represent the majority of the storage solution installed in the power system. This technology comes with high investments costs, hence the constant search for methods to increase and diversify the sources of revenue. Traditional fixed speed pump storage units typically operate in the day-ahead market to perform price arbitrage and, in some specific cases, provide downward replacement reserve (RR). Variable speed pump storage can not only participate in RR but also contribute to FRR, given their ability to control its operating point in pumping mode. This work does an extended analysis of a complete bidding strategy for Pumped Storage Power, enhancing the economic advantages of variable speed pump units in comparison with fixed ones. © Published under licence by IOP Publishing Ltd.

2017

Probabilistic Price Forecasting for Day-Ahead and Intraday Markets: Beyond the Statistical Model

Authors
Andrade, JR; Filipe, J; Reis, M; Bessa, RJ;

Publication
SUSTAINABILITY

Abstract
Forecasting the hourly spot price of day-ahead and intraday markets is particularly challenging in electric power systems characterized by high installed capacity of renewable energy technologies. In particular, periods with low and high price levels are difficult to predict due to a limited number of representative cases in the historical dataset, which leads to forecast bias problems and wide forecast intervals. Moreover, these markets also require the inclusion of multiple explanatory variables, which increases the complexity of the model without guaranteeing a forecasting skill improvement. This paper explores information from daily futures contract trading and forecast of the daily average spot price to correct point and probabilistic forecasting bias. It also shows that an adequate choice of explanatory variables and use of simple models like linear quantile regression can lead to highly accurate spot price point and probabilistic forecasts. In terms of point forecast, the mean absolute error was 3.03 Euro/MWh for day-ahead market and a maximum value of 2.53 Euro/MWh was obtained for intraday session 6. The probabilistic forecast results show sharp forecast intervals and deviations from perfect calibration below 7% for all market sessions.

2017

Role of pump hydro in electric power systems

Authors
Bessa, R; Moreira, C; Silva, B; Filipe, J; Fulgencio, N;

Publication
Journal of Physics: Conference Series

Abstract
This paper provides an overview of the expected role that variable speed hydro power plants can have in future electric power systems characterized by a massive integration of highly variable sources. Therefore, it is discussed the development of a methodology for optimising the operation of hydropower plants under increasing contribution from new renewable energy sources, addressing the participation of a hydropower plant with variable speed pumping in reserve markets. Complementarily, it is also discussed the active role variable speed generators can have in the provision of advanced frequency regulation services. © Published under licence by IOP Publishing Ltd.

2016

Optimization of the Variable Speed Pump Storage Participation in Frequency Restoration Reserve Market

Authors
Filipe, JM; Moreira, CL; Bessa, RJ; Silva, BA;

Publication
2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM)

Abstract
Several countries have a significant installed capacity of large-scale reversible hydro power plants. This large-scale storage technology comes with high investments costs, hence the constant search for methods to increase and diversify the sources of revenue. Traditional fixed speed pump storage units typically operate in the day-ahead market to perform price arbitrage and, in specific cases, provide downward replacement reserve (RR). Variable speed pump storage can not only participate in RR but also contribute to frequency restoration reserve (FRR), given their ability to control its operating point in pumping mode. This work proposes a strategy to manage the water resource and maximize the power plant revenue by participating in the day ahead market but also providing ancillary services. Moreover, a model to correctly allocate the water resource throughout the year is presented, as well as an evaluation module to calculate the real revenue of the system.

Supervised
thesis

2017

Optimization and Control of Virtual Power Plants

Author
Jorge Miguel Pérola Filipe

Institution
UP-FEUP