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Price-Response Matrices Design Methodology for Electrical Energy Management Systems Based on DC Bus Signalling

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  • Lucas V. Bellinaso

    (Post-Graduate Program in Electrical Engineering (PPGEE), Department of Electrical Engineering, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

  • Edivan L. Carvalho

    (Post-Graduate Program in Electrical Engineering (PPGEE), Department of Electrical Engineering, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

  • Rafael Cardoso

    (Post-Graduate Program in Electrical Engineering (PPGEE), Department of Electrical Engineering, Universidade Tecnológica Federal do Paraná (UTFPR), Pato Branco 85503-390, PR, Brazil)

  • Leandro Michels

    (Post-Graduate Program in Electrical Engineering (PPGEE), Department of Electrical Engineering, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

Abstract

Prosumers’ electrical installations (PEIs), as nanogrids and low-voltage microgrids, have gained importance in recent years following the development of standards such as the IEC 60364-8 series. In these systems, all distributed energy resources (DERs) are usually integrated using dc bus coupling. The IEC 60364-8-3 predicts an electrical energy management system (EEMS) for power-sharing. The overall research framework of this paper is the nanogrid power management, where complex algorithms are required, as well as the conventional state machines and hierarchical controls. However, the addition of new DERs in such systems is not straightforward due to the complicated parameter settings for energy usage optimization. A different control strategy, named price-based power management, has been conceived to make the EEMS scalable to include new sources and simplify parameterization. Since it is analogous to economic markets, most users understand the concepts and feel comfortable tuning parameters according to their own cost/benefits goals. This paper proposes a price-based power management algorithm for EEMS to automatically design the price-response matrices (PRMs). The PRMs are a way to organize power management, considering new DERs and variable price of energy. The main contribution is the methodology to design the PRMs. Experimental results are carried out to demonstrate the effectiveness of the proposed strategy. The results were obtained with a 1.5 kW prototype composed of a PV generator, battery energy storage, loads, and grid connection.

Suggested Citation

  • Lucas V. Bellinaso & Edivan L. Carvalho & Rafael Cardoso & Leandro Michels, 2021. "Price-Response Matrices Design Methodology for Electrical Energy Management Systems Based on DC Bus Signalling," Energies, MDPI, vol. 14(6), pages 1-19, March.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1787-:d:522862
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    References listed on IDEAS

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    1. Aitor Vazquez & Kevin Martin & Manuel Arias & Javier Sebastian, 2019. "On Bidirectional DC Nano-Grids: Design Considerations and an Architecture Proposal," Energies, MDPI, vol. 12(19), pages 1-20, September.
    2. Ioannis Skouros & Athanasios Karlis, 2020. "A Study on the V2G Technology Incorporation in a DC Nanogrid and on the Provision of Voltage Regulation to the Power Grid," Energies, MDPI, vol. 13(10), pages 1-23, May.
    3. Gabriel Antonio Salvatti & Emerson Giovani Carati & Rafael Cardoso & Jean Patric da Costa & Carlos Marcelo de Oliveira Stein, 2020. "Electric Vehicles Energy Management with V2G/G2V Multifactor Optimization of Smart Grids," Energies, MDPI, vol. 13(5), pages 1-22, March.
    4. Edivan Laercio Carvalho & Luiz Henrique Meneghetti & Emerson Giovani Carati & Jean Patric da Costa & Carlos Marcelo de Oliveira Stein & Rafael Cardoso, 2020. "Asymmetrical Pulse-Width Modulation Strategy for Current-Fed Dual Active Bridge Bidirectional Isolated Converter Applied to Energy Storage Systems," Energies, MDPI, vol. 13(13), pages 1-22, July.
    5. Joaquín Garrido-Zafra & Antonio Moreno-Munoz & Aurora Gil-de-Castro & Emilio J. Palacios-Garcia & Carlos D. Moreno-Moreno & Tomás Morales-Leal, 2019. "A Novel Direct Load Control Testbed for Smart Appliances," Energies, MDPI, vol. 12(17), pages 1-16, August.
    6. Eva González-Romera & Mercedes Ruiz-Cortés & María-Isabel Milanés-Montero & Fermín Barrero-González & Enrique Romero-Cadaval & Rui Amaral Lopes & João Martins, 2019. "Advantages of Minimizing Energy Exchange Instead of Energy Cost in Prosumer Microgrids," Energies, MDPI, vol. 12(4), pages 1-18, February.
    7. Chiara Magni & Alessia Arteconi & Konstantinos Kavvadias & Sylvain Quoilin, 2020. "Modelling the Integration of Residential Heat Demand and Demand Response in Power Systems with High Shares of Renewables," Energies, MDPI, vol. 13(24), pages 1-19, December.
    8. Babak Arbab-Zavar & Emilio J. Palacios-Garcia & Juan C. Vasquez & Josep M. Guerrero, 2019. "Smart Inverters for Microgrid Applications: A Review," Energies, MDPI, vol. 12(5), pages 1-22, March.
    9. Lucas Deotti & Wanessa Guedes & Bruno Dias & Tiago Soares, 2020. "Technical and Economic Analysis of Battery Storage for Residential Solar Photovoltaic Systems in the Brazilian Regulatory Context," Energies, MDPI, vol. 13(24), pages 1-30, December.
    10. Amedeo Andreotti & Bianca Caiazzo & Alberto Petrillo & Stefania Santini & Alfredo Vaccaro, 2020. "Hierarchical Two-Layer Distributed Control Architecture for Voltage Regulation in Multiple Microgrids in the Presence of Time-Varying Delays," Energies, MDPI, vol. 13(24), pages 1-19, December.
    11. Burmester, Daniel & Rayudu, Ramesh & Seah, Winston & Akinyele, Daniel, 2017. "A review of nanogrid topologies and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 760-775.
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    Cited by:

    1. Luís F. R. Pinto & Tiago D. C. Busarello & Lucas V. Bellinaso & Leandro Michels & Marcello Mezaroba, 2022. "Contributions to Power Management in AC Microgrids Based on Concepts of Microeconomics Theory," Energies, MDPI, vol. 15(11), pages 1-25, May.
    2. Luiz Henrique Meneghetti & Edivan Laercio Carvalho & Emerson Giovani Carati & Gustavo Weber Denardin & Jean Patric da Costa & Carlos Marcelo de Oliveira Stein & Rafael Cardoso, 2022. "Hybrid Inverter and Control Strategy for Enabling the PV Generation Dispatch Using Extra-Low-Voltage Batteries," Energies, MDPI, vol. 15(20), pages 1-20, October.

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