Reference : Rule-based control and optimization of a hybrid solar microgrid for rural electrifica...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Energy
http://hdl.handle.net/2268/213538
Rule-based control and optimization of a hybrid solar microgrid for rural electrification and heat supply in sub-Saharan Africa
English
Altés Buch, Queralt mailto [Université de Liège > Département d'aérospatiale et mécanique > Systèmes de conversion d'énergie pour un dévelop.durable >]
Orosz, Matthew mailto []
Quoilin, Sylvain mailto [Université de Liège > Département d'aérospatiale et mécanique > Systèmes énergétiques >]
Lemort, Vincent mailto [Université de Liège > Département d'aérospatiale et mécanique > Systèmes énergétiques >]
2017
Proceedings of the 30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS)
Yes
International
The 30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
JULY 2-JULY 6, 2017
San Diego
US
[en] Microgrid ; Rural electrification ; Rule-based control ; Particle Swarm Optimization ; Rural heat supply ; Sub-saharan Africa ; ORC ; Hybrid microgrid ; Solar
[en] This work aims at developing, optimizing and controlling a hybrid solar microgrid for rural electrification and heat supply in sub-Saharan Africa. The considered system includes PV panels, Parabolic Trough Collectors, ORC and LPG generator, as well as battery and thermal energy storage. A special focus is paid to the co-optimization of the thermal and electrical load satisfaction since it can improve the overall energy efficiency of the system. To that end, different sub-component models are developed:
- A building model to predict thermal loads of a health clinic in rural communities of Lesotho.
- A microgrid model built by interconnecting the subcomponent models.
- A rule-based control strategy, dispatching heat and electrical powers of each component to cover the demand while minimizing the fuel consumption.
- A particle-swarm optimization of the microgrid under different cost assumptions.
For the studied community of Ha Nkau in Lesotho, the determined optimal system infrastructure is composed of PV (66 kW) and batteries (262 kWh), and the optimum control strategy achieves a levelized cost of electricity of 0.203 USD/kWh. Fuel consumption is mainly due to the burner, which supplies most of the thermal load together with CSP (66 m2) and TES (86 kWh).
Univeristy of Liège ; Massachusetts Institute of Technology ; STG International
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/213538

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