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About

About

João A. Peças Lopes (PhD) is Full Professor (Professor Catedrático) at the Faculty of Engineering of Porto University, where he teaches in the graduation and post-graduation areas.

Was for 7 years Director of the Sustainable Energy Systems PhD program at FEUP and Director of Advanced course on Sustainable Energy Systems also at FEUP.
He is Director/Member of the Board of INESC TEC.

He is Vice-Presidente of the board of the Portuguese Association for Electric Vehicles.

Prof. Peças Lopes was responsible by INESC Porto activities in several EU financed research projects, namely the project - MICROGRIDS - Large Scale Integration of Micro Generation to Low Voltage Grids  and MORE_MICROGRIDS -  Advanced Architectures and Control Concepts for More Microgrids and MERGE - Mobile Energy Resources for Grids of Electricity.

He supervised several consulting projects related with the impact analysis of the connection of wind parks in the electrical grids of Madeira, Azores,  Sal, S. Vicente and S. Tiago, in the Republic of Cabo Verde. He was the responsible for several consultancy projects related with the electrical grid impact resulting from the connection of large wind parks in Portugal.

He was also responsible for the definition of technical rules for the integration of wind power in Brazil. He coordinated also consultancy studies for the Hungarian Regulator regarding the evaluation of the integration of wind power in Hungary. He coordinates the participation of INESC Porto in the InovGrid project.

He was also the Chair of the Selection Committee of the public tender that decided about the integration of 1800 MW of wind generation in Portugal, launched by the Portuguese government in 2005.

He was member of the Executive board of the EES/UETP consortium and Chair of its course program committee.

He has served as research project evaluator for the European Commission and for governmental science organizations in Portugal, France, Italy, Greece, Finland, Danemark and Ireland.

He was for more than 4 years one of the coordinators of INESC Porto Power System Unit.

He is co-editor of the (SEGAN) Sustainable Energy Grids and Networks journal.

His main domains of research are presently related with large scale integration of renewable power sources in power systems (namely wind generation), power system dynamics, microgrids, smartmetering and integration of electric vehicles in electrical grids.

In 2012 he received the CIGRE Technical Committee Award in recogmition of his outstanding contribution to the work of the Study Committee C6 – Distribution Systems and Dispersed Generation.

Prof. Peças Lopes is an IEEE Fellow
He is member of the Power Systems Dynamic Performance Committee of the IEEE PES.

Details

Details

  • Name

    João Peças Lopes
  • Role

    Associate Director
  • Since

    01st March 1989
114
Publications

2024

A Novel Three-Phase Multiobjective Unified Power Quality Conditioner

Authors
Monteiro, V; Moreira, C; Lopes, JAP; Antunes, CH; Osorio, GJ; Catalao, JPS; Afonso, JL;

Publication
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Abstract
The decarbonization of the economy and the increasing integration of renewable energy sources into the generation mix are bringing new challenges, requiring novel technological solutions in the topic of smart grids, which include smart transformers and energy storage systems. Additionally, power quality is a vital concern for the future smart grids; therefore, the continuous development of power electronics solutions to overcome power quality problems is of the utmost importance. In this context, this article proposes a novel three-phase multiobjective unified power quality conditioner (MO-UPQC), considering interfaces for solar PV panels and for energy storage in batteries. The MO-UPQC is capable of compensating power quality problems in the voltages (at the load side) and in the currents (at the power grid side), while it enables injecting power into the grid (from the PV panels or batteries) or charging the batteries (from the PV panels or from the grid). Experimental results were obtained with a three-phase four-wire laboratory prototype, demonstrating the feasibility and the large range of applications of the proposed MO-UPQC.

2023

Real-time management of distributed multi-energy resources in multi-energy networks

Authors
Coelho, A; Iria, J; Soares, F; Lopes, JP;

Publication
SUSTAINABLE ENERGY GRIDS & NETWORKS

Abstract
The replacement of fossil fuel power plants by variable renewable energy sources is reducing the flexibility of the energy system, which puts at risk its security. Exploiting the flexibility of distributed multi-energy resources through aggregators presents a solution for this problem. In this context, this paper presents a new hierarchical model predictive control framework to assist multi-energy aggregators in the network-secure delivery of multi-energy services traded in electricity, natural gas, green hydrogen, and carbon markets. This work builds upon and complements a previous work from the same authors related to bidding strategies for day-ahead markets - it closes the cycle of aggregators' participation in multi-energy markets, i.e., day-ahead bidding and real-time activation of flexibility services. This new model predictive control framework uses the alternating direction method of multipliers on a rolling horizon to negotiate the network-secure delivery of multi-energy services between aggregators and distribution system operators of electricity, gas, and heat networks. We used the new model predictive control framework to conduct two studies. In the first study, we found that considering multi-energy network constraints at both day-ahead and real-time optimization stages produces the most cost-effective and reliable solution to aggregators, outperforming state-of-the-art approaches in terms of cost and network security. In the second study, we found that the adoption of a green hydrogen policy by multi-energy aggregators can reduce their consumption of natural gas and respective CO2 emissions significantly if carbon and green hydrogen prices are competitive.& COPY; 2023 Elsevier Ltd. All rights reserved.

2023

Improving Dynamic Security in Islanded Power Systems: Quantification of Minimum Synchronous Inertia Considering Fault-Induced Frequency Deviations

Authors
Gouveia, J; Moreira, CL; Lopes, JAP;

Publication
ELECTRICITY

Abstract
In isolated power systems with very high instantaneous shares of renewables, additional inertia should be used as a complementary resource to battery energy storage systems (BESSs) for improving frequency stability, which can be provided by synchronous condensers (SCs) integrated into the system. Therefore, this paper presents a methodology to infer the system dynamic security, with respect to key frequency indicators, following critical disturbances. Of particular interest is the evidence that multiple short-circuit locations should be considered as reference disturbances regarding the frequency stability in isolated power grids with high shares of renewables. Thus, an artificial neural network (ANN) structure was developed, aiming to predict the network frequency nadir and Rate of Change of Frequency (RoCoF), considering a certain operating scenario and disturbances. For the operating conditions where the system frequency indicators are violated, a methodology is proposed based on a gradient descent technique, which quantifies the minimum amount of additional synchronous inertia (SCs which need to be dispatch) that moves the system towards its dynamic security region, exploiting the trained ANN, and computing the sensitivity of its outputs with respect to the input defining the SC inertia.

2023

TSO-DSO Coordinated Operational Planning in the Presence of Shared Resources

Authors
Simoes, M; Madureira, AG; Soares, F; Lopes, JP;

Publication
2023 IEEE BELGRADE POWERTECH

Abstract
Electric power systems are currently experiencing a profound change, as increasing amounts of Renewable Energy Sources (RESs) displace conventional forms of generation. This development has gone hand-in-hand with an increasing share of distributed power generation being connected directly to the Distribution Network (DN), and the widespread of other types of Distributed Energy Resources (DERs), such as Energy Storage Sytems (ESSs), Electric Vehicles (EVs), and active (flexible) consumers. As these trends are expected to continue, this will require a profound revision of the way Transmission System Operators (TSOs) and Distribution System Operators (DSOs) interact with each other to fully benefit from the growing flexibility that is available at the DN level. In this work we propose a new tool for the coordinated operational planning of transmission and distribution systems, considering the existence of shared resources that can be simultaneously used by TSO and DSOs for the optimal operation of their networks. The tool uses advanced distributed optimization techniques, namely the Alternating Direction Method of Multipliers (ADMM) in order to maintain data privacy of the several agents involved in the optimization problem, and keep the tractability of the problem. The proposed tool is applied to modified IEEE test systems, and the results obtained highlight the benefits of the proposed coordination mechanism to solve problems occurring simultaneously at the transmission and DN-levels.

2023

Evaluation of the economic, technical, and environmental impacts of multi-energy system frameworks in distribution networks

Authors
Coelho, A; Soares, F; Iria, J; Lopes, JP;

Publication
2023 IEEE BELGRADE POWERTECH

Abstract
This paper presents a general comparison between network-secure and network-free optimization frameworks to manage flexible multi-energy resources. Both frameworks were implemented in a test case that includes electricity, gas, and heat distribution networks. Several potential scenarios for the decarbonization of the multi-energy system were simulated. The economic, technical, and environmental impacts were compiled. The network-secure framework is highly recommended to avoid service disruptions due to network violations, but its implementation comes with a price - overall operational costs increase, sometimes substantially.

Supervised
thesis

2022

Internet Impact on Family Business Process of Internationalization

Author
João Pedro Frazão Alvim de Castro

Institution
UP-FEP

2022

Operação de Micro-redes híbridas AC/DC

Author
Filipe Pinto Ferreira Guerra Duarte

Institution
UP-FEUP

2022

Developing a learning solution approach for the on-line three-dimensional bin packing problems

Author
Sara Ali

Institution
UP-FEUP

2022

Internet of Things 4 Seniors

Author
Luís Filipe Jesus Correia

Institution
UTAD

2022

Operation Strategies for Energy Communities and Evaluation of their Impacts on Power Systems Using an ABM Model

Author
António José Valente Ferreira dos Santos

Institution
UP-FEUP