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A Review of Fuzzy-Based Residential Grid-Connected Microgrid Energy Management Strategies for Grid Power Profile Smoothing

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Energy Sustainability in Built and Urban Environments

Part of the book series: Energy, Environment, and Sustainability ((ENENSU))

Abstract

Residential grid-connected microgrids (MG) comprising renewable generation and storing capability are constrained to grid-operator requirements which include, among others, a smooth and bounded grid power profile. These requirements attempt to mitigate a high unpredictability on the electrical power exchanged between the grid and the MG and affect the design of the MG Energy Management System (EMS). This chapter reviews several energy management strategies based on Fuzzy-Logic Controllers (FLC) designed in the last years to smooth the grid power profile of a residential grid-connected MG. Two MG power architectures are considered. Both include wind and PV solar renewable generation and non-controllable domestic electrical loads. The first architecture assumes a battery charger/inverter as the only controllable element whereas the second one also considers a thermal load as an additional controllable element. The chapter presents a fuzzy logic approach to design the control strategies of the microgrid EMS. The strategies are designed under two scenarios, the first one assuming that forecast of generation and consumption is not available and the second one using MG forecasted data. Simulation and experimental results are provided to highlight and compare the features of all the strategies in terms of their power profile smoothing capability.

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Authors and Affiliations

  1. Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Av. Gral. Rumiñahui s/n, Sangolquí, 171-5-231B, Ecuador

    Diego Arcos-Aviles, Rodolfo Gordillo & Paúl Ayala

  2. Department of Electronics Engineering, Escuela Técnica Superior de Ingenieros de Telecomunicación de Barcelona, Universitat Politècnica de Catalunya, C. Jordi Girona 31, 08034, Barcelona, Spain

    Francesc Guinjoan & Martin P. Marietta

  3. Department of Electrical and Electronics Engineering, Public University of Navarre (UPNa) Edificio de los Pinos, Campus Arrosadia s/n, 31006, Pamplona, Spain

    Julio Pascual, Luis Marroyo & Pablo Sanchis

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  1. Diego Arcos-Aviles
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  2. Francesc Guinjoan
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  3. Julio Pascual
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  4. Luis Marroyo
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  7. Paúl Ayala
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  8. Martin P. Marietta
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Correspondence to Diego Arcos-Aviles .

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Editors and Affiliations

  1. Department of Electrical Engineering, KU Leuven (Catholic University Leuven), Ghent, Belgium

    Emilia Motoasca

  2. Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Avinash Kumar Agarwal

  3. Department of Civil Engineering, KU Leuven (Catholic University Leuven), Ghent, Belgium

    Hilde Breesch

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Arcos-Aviles, D. et al. (2019). A Review of Fuzzy-Based Residential Grid-Connected Microgrid Energy Management Strategies for Grid Power Profile Smoothing. In: Motoasca, E., Agarwal, A., Breesch, H. (eds) Energy Sustainability in Built and Urban Environments. Energy, Environment, and Sustainability. Springer, Singapore. https://doi.org/10.1007/978-981-13-3284-5_8

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  • DOI: https://doi.org/10.1007/978-981-13-3284-5_8

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