Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation
Creators
- 1. School of Electrical and Information Engineering, The University of Sydney, Sydney (Australia)
- 2. Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm (Sweden)
- 3. Institute for Electrical Energy Storage Technology, Technical University of Munich, Munich (Germany)
Description
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. -- 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.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.rser.2019.06.007Additional details
Identifiers
- DOI
- 10.1016/j.rser.2019.06.007;
- PII
- S1364032119303983;
Publishing Information
- Journal Title
- Renewable and Sustainable Energy Reviews
- Journal Volume
- 112
- Journal Page Range
- p. 555-570
- ISSN
- 1364-0321
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55020116
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- COMPUTERIZED SIMULATION; ENERGY MANAGEMENT; PERFORMANCE
- Descriptors DEC
- MANAGEMENT; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2019 Elsevier Ltd. All rights reserved.