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About

About

Sergio F. Santos received the B.Sc., M.Sc. and Ph.D. degrees from the University of Beira Interior (UBI), Covilhã, Portugal, in 2012, 2014 and 2017, respectively. He is currently working as an Assistant Researcher in INESCTEC, Porto. He worked in the European Project SiNGULAR - Smart and Sustainable Insular Electricity Grids Under Large-Scale Renewable Integration, and in several national projects, ESGRIDS - Enhancing Smart GRIDS for Sustainability, EMaDes - Energy, Materials and Sustainable Development, and UNiTED - Unlocking demand response potential with Next generation innovative optimization Tools Empowering prosumers and Distribution grid benefits. His research interests include power systems operation and planning, renewable energy integration, ancillary services, virtual power plants, demand response, system flexibility and smart grid applications.

Interest
Topics
Details

Details

  • Name

    Sérgio Santos
  • Cluster

    Power and Energy
  • Role

    Assistant Researcher
  • Since

    01st May 2019
001
Publications

2021

Influence of Battery Energy Storage Systems on Transmission Grid Operation With a Significant Share of Variable Renewable Energy Sources

Authors
Santos, SF; Gough, M; Fitiwi, DZ; Silva, AFP; Shafie Khah, M; Catalao, JPS;

Publication
IEEE Systems Journal

Abstract

2021

Self-scheduling model for home energy management systems considering the end-users discomfort index within price-based demand response programs

Authors
Javadi, MS; Nezhad, AE; Nardelli, PHJ; Gough, M; Lotfi, M; Santos, S; Catalão, JPS;

Publication
Sustainable Cities and Society

Abstract
This paper presents a self-scheduling model for home energy management systems (HEMS) in which a novel formulation of a linear discomfort index (DI) is proposed, incorporating the preferences of end-users in the daily operation of home appliances. The HEMS self-scheduling problem is modelled as a mixed-integer linear programming (MILP) multi-objective problem, aimed at minimizing the energy bill and DI. In this framework, the proposed DI determines the optimal time slots for the operation of home appliances while minimizing end-users’ bills. The resulting multi-objective optimization problem has then been solved by using the epsilon-constraint technique and the VIKOR decision maker has been employed to select the most desired Pareto solution. The proposed model is tested considering tariffs in the presence of various price-based demand response programs (DRP), namely time-of-use (TOU) and real-time pricing (RTP). In addition, different scenarios considering the presence of electrical energy storage (EES) are investigated to study their impact on the optimal operation of HEMS. The simulation results show that the self-scheduling approach proposed in this paper yields significant reductions in the electricity bills for different electricity tariffs. © 2021 Elsevier Ltd

2020

The future of power systems: Challenges, trends, and upcoming paradigms

Authors
Lopes, JAP; Madureira, AG; Matos, M; Bessa, RJ; Monteiro, V; Afonso, JL; Santos, SF; Catalao, JPS; Antunes, CH; Magalhaes, P;

Publication
Wiley Interdisciplinary Reviews: Energy and Environment

Abstract

2020

Multi Flexibility Options Integration to Cope with Large-Scale Integration of Renewables

Authors
Cruz, MRM; Fitiwi, DZ; Santos, SF; Mariano, SJPS; Catalao, JPS;

Publication
IEEE Transactions on Sustainable Energy

Abstract
Conventional electrical networks are slowly changing. A strong sense of policy urge as well as commitments have recently been surfacing in many countries to integrate more environmentally friendly energy sources into electrical systems. In particular, stern efforts have been made to integrate more and more solar and wind energy sources. One of the major setbacks of such resources arises as a result of their intermittent nature, creating several problems in the electrical systems from a technical, market, operation and planning perspectives. This work focuses on the operation of an electrical system with large-scale integration of solar and wind power. In order to cope with the intermittency inherent to such power sources, it is necessary to introduce more flexibility into the system. In this context, Demand Response, Energy Storage Systems and Dynamic Reconfiguration of the system are introduced and the operational performance of the resulting system is thoroughly analyzed. To carry out the required analysis, a stochastic MILP operational model is developed, whose efficacy is tested on an IEEE 119-bus standard network system. Numerical results indicate that the joint integration of various flexibility mechanisms into the system can support a seamless integration of large-scale intermittent renewable energies. IEEE

2020

Prosumer flexibility: A comprehensive state-of-the-art review and scientometric analysis

Authors
Gough, M; Santos, SF; Javadi, M; Castro, R; Catalao, JPS;

Publication
Energies

Abstract
There is a growing need for increased flexibility in modern power systems. Traditionally, this flexibility has been provided by supply-side technologies. There has been an increase in the research surrounding flexibility services provided by demand-side actors and technologies, especially flexibility services provided by prosumers (those customers who both produce and consume electricity). This work gathers 1183 peer-reviewed journal articles concerning the topic and uses them to identify the current state of the art. This body of literature was analysed with two leading textual and scientometric analysis tools, SAS Visual Text Analytics and VOSviewer, in order to provide a detailed understanding of the current state-of-the-art research on prosumer flexibility. Trends, key ideas, opportunities and challenges were identified and discussed. © 2020 by the authors.