Abstract
This paper proposes a multi-terminal allocation of charging infrastructure for the public bus transit network that integrates both inductive and conductive priority charging to ensure energy management without disrupting the operational bus schedule. The charging model is formulated as a mathematical optimisation problem that allocates multi-priority chargers for the transit network. The formulated optimisation problem is solved using a particle swarm optimisation (PSO) algorithm. The model is validated using Lagos BRT data. The results indicate that the integration of both inductive and multi-terminal conductive priority chargers in the transit system can serve as an energy management system and eliminate charging dwell time.
Original language | English |
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Title of host publication | 2020 IEEE PES/IAS PowerAfrica |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Electronic) | 9781728167466 |
ISBN (Print) | 9781728167473 |
DOIs | |
Publication status | Published - 12 Oct 2020 |
Event | IEEE PES/IAS Power Africa Conference - Duration: 25 Aug 2020 → 28 Aug 2020 https://attend.ieee.org/powerafrica-2020/ |
Conference
Conference | IEEE PES/IAS Power Africa Conference |
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Abbreviated title | PAC 2020 |
Period | 25/08/20 → 28/08/20 |
Internet address |
Keywords
- battery-electric bus (BEB)
- conductive charger
- inductive charger
- PSO
- transit network