Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation. (September 2019)

• Record Type: Journal Article
• Authors: Azuatalam, Donald; Paridari, Kaveh; Ma, Yiju; Förstl, Markus; Chapman, Archie C.; Verbič, Gregor
• Is Part Of: Renewable & sustainable energy reviews. Volume 112(2019)
• Page Start: 555
• Page End: 570
• Publication Date: 2019-09
• Subjects: Distributed energy resources -- Techno-economic assessment -- Home energy management -- Solar PV -- Battery storage -- Battery degradation; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2019.06.007
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: The home energy management problem has many different facets, including economic viability, data uncertainty and quality of strategy employed. The existing literature in this area focuses on individual aspects of this problem without a detailed, holistic analysis of the results with regards to practicality in implementation. In this paper, we fill this gap by performing a comprehensive comparison of seven different energy management strategies, each with different levels of practicality, sophistication and computational requirements. We analyse the results in the context of these three characteristics, and also critique the modelling assumptions made by each strategy. Our analysis finds that using a more sophisticated energy management strategy may not necessarily improve the performance and economic viability of the PV-battery system due to the effects of modelling assumptions, such as the treatment of uncertainties in the input data and battery degradation effects. Highlights: Comprehensive review of energy management strategies in the context of specific areas that affect their performance. Modelling and implementation of seven different energy management strategies. Detailed comparative analysis of simulation results in light of modelling assumptions.