Journal article
Linear precoder design for base station energy cooperation in DC microgrids
IET Renewable Power Generation, Vol.13(7), pp.1076-1086
2019
Abstract
In this study, the energy data transfer problem in a DC microgrid with multiple renewable powered base stations (BSs) is considered. These BSs can share the renewable generation among each other. The energy cooperation is optimised by the control unit. For effective energy cooperation, energy data needs to be transferred from BSs to the control unit with low latency and high reliability. For cellular enabled microgrid communication, the energy data exchange and cellular communication both use the same communication resources. Thus, there will be interference at the control unit and cellular user (CU), which degrades the reliability of energy data transfer. To solve this problem, a linear precoding technique is designed to minimise the mean square error of the desired messages at the control unit, BSs, and CU while the interferences are kept at a predefined level. For the designed precoders, the expressions of signal-to-interference-plus-noise ratio are formulated and the error performance is analysed. Numerical simulation has been performed to compare the considered precoding technique with other precoding techniques. The simulation results demonstrate that optimum precoding can improve the error performance at the control unit, BSs, and CU by 1, 5, and 3 dB, respectively.
Details
- Title
- Linear precoder design for base station energy cooperation in DC microgrids
- Authors
- Shama Naz Islam (Author) - Deakin UniversityMd Apel Mahmud (Author) - Deakin UniversitySajeeb Saha (Author) - Deakin UniversityMd Enamul Haque (Author) - Deakin University
- Publication details
- IET Renewable Power Generation, Vol.13(7), pp.1076-1086
- Publisher
- Institution of Engineering and Technology
- DOI
- 10.1049/iet-rpg.2018.5624
- ISSN
- 1752-1424
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99532107402621
- Output Type
- Journal article
Metrics
7 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web Of Science research areas
- Energy & Fuels
- Engineering, Electrical & Electronic
- Green & Sustainable Science & Technology
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites