IRI - INCITE: Innovative controls for renewable sources integration into smart energy systems

Research Project

INCITE: Innovative controls for renewable sources integration into smart energy systems

Type

European Project

Start Date

01/12/2015

End Date

30/11/2019

Project Code

H2020-MSCA-ITN-675318

Staff

Ocampo, Carlos A.

Principal Investigator

Costa, Ramon

Researcher

Ananduta, Wicak

PhD Student

Siniscalchi, Sara

PhD Student

Raveendran Nair, Unnikrishnan

Member

Project Description

The advances in communication and information networks and the wide availability of powerful and cheap computers have transformed many aspects of our lives. The electrical networks are not an exception. New smart meters, distributed generation, renewable energy sources and the concern about the environment are redefining electrical networks. Now, both consumers and generators are active agents that are capable of coordinating the extraction and injection of power into the electrical grid depending on the energy cost, energy availability and even the behavior of electrical variables. This new reality is a great opportunity to improve energy efficiency and reduce CO2 footprints by using clean energy sources. But it is also a big challenge. The electrical network is one of the most complex systems ever made, with this new reality the additional controllability and the great number of actors may lead to undesirable results and even to network outages.

In order to take full advantage of these new electrical networks, it is necessary a coordinated and harmonic interaction among all actors in the network. This is the role of the control algorithms, thought to act at several levels to conduct the extraction and injection of the electrical power and improve efficiency, reliability and resilience of the network. INCITE aims to this target, to propose new control algorithms with an integral view of the future electrical networks, covering aspects like energy management, stability of electrical variables, monitoring and communication implementation, energy storage, among others. The objective is to create an interdisciplinary (control, electrical and management fields), cross-sectorial (academic and industry) and international research environment in which 14 young researchers propose innovative control solution for the future energy networks.

Project Publications

Journal Publications

W. Ananduta, A. Nedic and C. Ocampo-Martínez. Distributed augmented Lagrangian method for link-based resource sharing problems of multiagent systems. IEEE Transactions on Automatic Control, 67(6): 3067-3074, 2022.

Abstract Info PDF
U. Raveendran Nair, M. Sandelic, A. Sangwongwanich, T. Dragicevic, R. Costa and F. Blaabjerg. Grid congestion mitigation and battery degradation minimisation using model predictive control in PV-based microgrid. IEEE Transactions on Energy Conversion, 36(2): 1500-1509, 2021.

Abstract Info PDF
W. Ananduta, C. Ocampo-Martínez and A. Nedic. A distributed augmented Lagrangian method over stochastic networks for economic dispatch of large-scale energy systems. IEEE Transactions on Sustainable Energy, 12(4): 1927-1934, 2021.

Abstract Info PDF
W. Ananduta and C. Ocampo-Martínez. Event-triggered partitioning for non-centralized predictive-control-based economic dispatch of interconnected microgrids. Automatica, 132: 109829, 2021.

Abstract Info PDF
U. Raveendran Nair, M. Sandelic, A. Sangwongwanich, T. Dragicevic, R. Costa and F. Blaabjerg. An analysis of multi objective energy scheduling in PV-BESS system under prediction uncertainty. IEEE Transactions on Energy Conversion, 36(3): 2276-2286, 2021.

Abstract Info PDF
S. Siniscalchi, F. Bianchi, C. Ocampo-Martínez, J.L. Domínguez and B. De Schutter. A non-centralized predictive control strategy for wind farm active power control: A wake-based partitioning approach. Renewable Energy, 150: 656-669, 2020.

Abstract Info PDF
U. Raveendran Nair and R. Costa. A model predictive control-based energy management scheme for hybrid storage system in islanded microgrids. IEEE Access, 8: 97809-97822, 2020.

Abstract Info PDF
W. Ananduta, J.M. Maestre, C. Ocampo-Martínez and H. Ishii. Resilient distributed model predictive control for energy management of interconnected microgrids. Optimal Control Applications and Methods, 41(1): 146-169, 2020.

Abstract Info PDF
T. Péan, J. Salom and R. Costa. Review of control strategies for improving the energy flexibility provided by heat pump systems in buildings. Journal of Process Control, 74: 35-49, 2019.

Abstract Info PDF
S. Siniscalchi, F. Bianchi, M. De Prada and C. Ocampo-Martínez. A wind farm control strategy for power reserve maximization. Renewable Energy, 131: 37-44, 2019.

Abstract Info PDF
W. Ananduta, T.M. Pippia, C. Ocampo-Martínez, J. Sijs and B. De Schutter. Online partitioning method for decentralized control of linear switching large-scale systems. Journal of the Franklin Institute, 356(6): 3290-3313, 2019.

Abstract Info PDF
U. Raveendran Nair, R. Costa and A. Baños. Reset control for DC-DC converters: an experimental application. IEEE Access, 7: 128487-128497, 2019.

Abstract Info PDF
T. Péan, R. Costa, E. Fuentes and J. Salom. Experimental testing of variable speed heat pump control strategies for enhancing energy flexibility in buildings. IEEE Access, 7: 37071-37087, 2019.

Abstract Info PDF
W. Ananduta, J. Barreiro, C. Ocampo-Martínez and N. Quijano. Mitigation of communication failures in distributed model predictive control strategies. IET Control Theory and Applications, 12(18): 2507-2515, 2018.

Abstract Info PDF

Conference Publications

G. Belgioioso, W. Ananduta, S. Grammatico and C. Ocampo-Martínez. Energy management and peer-to-peer trading in future smart grids: A distributed game-theoretic approach, 19th European Control Conference, 2020, St. Petersburg, Russia, pp. 1324-1329.

Abstract Info PDF
H. Abdelghany, C. Ocampo-Martínez and N. Quijano. Online Network-Constrained Dispatch of Distributed Generators in Radial Networks, 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 2020, The Hague, Netherlands, pp. 489-493.

Abstract Info PDF
U. Raveendran Nair, R. Costa and German A. Ramos. An adaptive disturbance rejection control scheme for voltage regulation in DC micro-grids, 20th IEEE International Conference on Industrial Technology, 2019, Melbourne, Australia, pp. 583-588, IEEE.

Abstract Info PDF
W. Ananduta, J.M. Maestre, C. Ocampo-Martínez and H. Ishii. A resilient approach for distributed MPC-based economic dispatch in interconnected microgrids, 18th European Control Conference, 2019, Naples, Italy, pp. 891-896.

Abstract Info PDF
U. Raveendran Nair and R. Costa. An analysis of energy storage system interaction in a multi objective model predictive control based energy management in DC microgrid, 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019, Zaragoza, pp. 739-746.

Abstract Info PDF
W. Ananduta and C. Ocampo-Martínez. Decentralized energy management of power networks with distributed generation using periodical self-sufficient repartitioning approach, 2019 American Control Conference, 2019, Philadelphia, pp. 3230-3235.

Abstract Info PDF
W. Ananduta, J.M. Maestre, C. Ocampo-Martínez and H. Ishii. Resilient distributed energy management for systems of interconnected microgrids, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3159-3164.

Abstract Info PDF
U. Raveendran Nair, R. Costa and A. Baños. Reset control of boost converters, 2018 American Control Conference, 2018, Milwaukee, USA, pp. 553-558.

Abstract Info PDF
T. Péan, J. Salom and R. Costa. Configurations of model predictive control to exploit energy flexibility in building thermal loads, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3177-3182.

Abstract Info PDF
S. Siniscalchi, M. De Prada, F. Bianchi, C. Ocampo-Martínez and B. De Schutter. A multi-objective predictive control strategy for enhancing primary frequency support with wind farms, 2018 The Science of Making Torque from Wind, 2018, Milano, Italy, Vol 1037 of Journal of Physics: Conference Series, pp. 032034, 2018.

Abstract Info PDF
S. Siniscalchi, C. Ocampo-Martínez, F. Bianchi, M. De Prada and B. De Schutter. Partitioning approach for large wind farms: Active power control for optimizing power reserve, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3183-3188.

Abstract Info PDF
S. Siniscalchi, F. Bianchi and C. Ocampo-Martínez. Predictive control of wind farms based on lexicographic minimizers for power reserve maximization, 2018 American Control Conference, 2018, Milwaukee, USA, pp. 701-706.

Abstract Info PDF
W. Ananduta, J. Barreiro, C. Ocampo-Martínez and N. Quijano. Resilient information-exchange protocol for distributed model predictive control schemes, 2018 American Control Conference, 2018, Milwaukee, USA, pp. 1286-1291.

Abstract Info PDF
U. Raveendran Nair and R. Costa. An overview of micro-grid architecture with hybrid storage elements and its control, XV Simposio CEA de Ingeniería de Control, 2017, Salamanca, pp. 17-23.

Abstract Info PDF
S. Siniscalchi, F. Bianchi, C. Ocampo-Martínez and M. De Prada. A wind farm operational strategy for primary frequency support optimization, 2017 Wind Europe Conference and Exhibition, 2017, Amsterdam, pp. PO.061.

Abstract Info PDF

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Research Project

INCITE: Innovative controls for renewable sources integration into smart energy systems

Type

Start Date

End Date

Project Code

Staff

Principal Investigator

Researcher

PhD Student

PhD Student

Member

Project Description

Project Publications

Journal Publications

W. Ananduta, A. Nedic and C. Ocampo-Martínez. Distributed augmented Lagrangian method for link-based resource sharing problems of multiagent systems. IEEE Transactions on Automatic Control, 67(6): 3067-3074, 2022.

U. Raveendran Nair, M. Sandelic, A. Sangwongwanich, T. Dragicevic, R. Costa and F. Blaabjerg. Grid congestion mitigation and battery degradation minimisation using model predictive control in PV-based microgrid. IEEE Transactions on Energy Conversion, 36(2): 1500-1509, 2021.

W. Ananduta, C. Ocampo-Martínez and A. Nedic. A distributed augmented Lagrangian method over stochastic networks for economic dispatch of large-scale energy systems. IEEE Transactions on Sustainable Energy, 12(4): 1927-1934, 2021.

W. Ananduta and C. Ocampo-Martínez. Event-triggered partitioning for non-centralized predictive-control-based economic dispatch of interconnected microgrids. Automatica, 132: 109829, 2021.

U. Raveendran Nair, M. Sandelic, A. Sangwongwanich, T. Dragicevic, R. Costa and F. Blaabjerg. An analysis of multi objective energy scheduling in PV-BESS system under prediction uncertainty. IEEE Transactions on Energy Conversion, 36(3): 2276-2286, 2021.

S. Siniscalchi, F. Bianchi, C. Ocampo-Martínez, J.L. Domínguez and B. De Schutter. A non-centralized predictive control strategy for wind farm active power control: A wake-based partitioning approach. Renewable Energy, 150: 656-669, 2020.

U. Raveendran Nair and R. Costa. A model predictive control-based energy management scheme for hybrid storage system in islanded microgrids. IEEE Access, 8: 97809-97822, 2020.

W. Ananduta, J.M. Maestre, C. Ocampo-Martínez and H. Ishii. Resilient distributed model predictive control for energy management of interconnected microgrids. Optimal Control Applications and Methods, 41(1): 146-169, 2020.

T. Péan, J. Salom and R. Costa. Review of control strategies for improving the energy flexibility provided by heat pump systems in buildings. Journal of Process Control, 74: 35-49, 2019.

S. Siniscalchi, F. Bianchi, M. De Prada and C. Ocampo-Martínez. A wind farm control strategy for power reserve maximization. Renewable Energy, 131: 37-44, 2019.

W. Ananduta, T.M. Pippia, C. Ocampo-Martínez, J. Sijs and B. De Schutter. Online partitioning method for decentralized control of linear switching large-scale systems. Journal of the Franklin Institute, 356(6): 3290-3313, 2019.

U. Raveendran Nair, R. Costa and A. Baños. Reset control for DC-DC converters: an experimental application. IEEE Access, 7: 128487-128497, 2019.

T. Péan, R. Costa, E. Fuentes and J. Salom. Experimental testing of variable speed heat pump control strategies for enhancing energy flexibility in buildings. IEEE Access, 7: 37071-37087, 2019.

W. Ananduta, J. Barreiro, C. Ocampo-Martínez and N. Quijano. Mitigation of communication failures in distributed model predictive control strategies. IET Control Theory and Applications, 12(18): 2507-2515, 2018.

Conference Publications

G. Belgioioso, W. Ananduta, S. Grammatico and C. Ocampo-Martínez. Energy management and peer-to-peer trading in future smart grids: A distributed game-theoretic approach, 19th European Control Conference, 2020, St. Petersburg, Russia, pp. 1324-1329.

H. Abdelghany, C. Ocampo-Martínez and N. Quijano. Online Network-Constrained Dispatch of Distributed Generators in Radial Networks, 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 2020, The Hague, Netherlands, pp. 489-493.

U. Raveendran Nair, R. Costa and German A. Ramos. An adaptive disturbance rejection control scheme for voltage regulation in DC micro-grids, 20th IEEE International Conference on Industrial Technology, 2019, Melbourne, Australia, pp. 583-588, IEEE.

W. Ananduta, J.M. Maestre, C. Ocampo-Martínez and H. Ishii. A resilient approach for distributed MPC-based economic dispatch in interconnected microgrids, 18th European Control Conference, 2019, Naples, Italy, pp. 891-896.

U. Raveendran Nair and R. Costa. An analysis of energy storage system interaction in a multi objective model predictive control based energy management in DC microgrid, 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019, Zaragoza, pp. 739-746.

W. Ananduta and C. Ocampo-Martínez. Decentralized energy management of power networks with distributed generation using periodical self-sufficient repartitioning approach, 2019 American Control Conference, 2019, Philadelphia, pp. 3230-3235.

W. Ananduta, J.M. Maestre, C. Ocampo-Martínez and H. Ishii. Resilient distributed energy management for systems of interconnected microgrids, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3159-3164.

U. Raveendran Nair, R. Costa and A. Baños. Reset control of boost converters, 2018 American Control Conference, 2018, Milwaukee, USA, pp. 553-558.

T. Péan, J. Salom and R. Costa. Configurations of model predictive control to exploit energy flexibility in building thermal loads, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3177-3182.

S. Siniscalchi, C. Ocampo-Martínez, F. Bianchi, M. De Prada and B. De Schutter. Partitioning approach for large wind farms: Active power control for optimizing power reserve, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3183-3188.

S. Siniscalchi, F. Bianchi and C. Ocampo-Martínez. Predictive control of wind farms based on lexicographic minimizers for power reserve maximization, 2018 American Control Conference, 2018, Milwaukee, USA, pp. 701-706.

W. Ananduta, J. Barreiro, C. Ocampo-Martínez and N. Quijano. Resilient information-exchange protocol for distributed model predictive control schemes, 2018 American Control Conference, 2018, Milwaukee, USA, pp. 1286-1291.

U. Raveendran Nair and R. Costa. An overview of micro-grid architecture with hybrid storage elements and its control, XV Simposio CEA de Ingeniería de Control, 2017, Salamanca, pp. 17-23.

S. Siniscalchi, F. Bianchi, C. Ocampo-Martínez and M. De Prada. A wind farm operational strategy for primary frequency support optimization, 2017 Wind Europe Conference and Exhibition, 2017, Amsterdam, pp. PO.061.