Coupling renewable energy sources with reverse osmosis desalination systems offers a suitable solution to freshwater scarcity problem, especially in regions suffering from hydraulic and electrical crisis. In this context, design, feasibility and performance evaluation of a standalone brackish water reverse osmosis desalination unit powered with hybrid PV/Wind sources in isolated community have been investigated. In order to reduce the cost of investment and maintenance, the proposed system was based on hydraulic storage in a water tower instead of electrochemical storage. This study aims to optimize the power sharing of the generated power between the motor-pumps while respecting constraints and maximize the produced freshwater quantity. For this purpose, a genetic algorithm optimization of the fuzzy-logic membership functions is proposed. First, a simple fuzzy logic system was used to improve the power sharing between the hydro mechanical processes. Then, an offline optimization of the developed fuzzy-logic using genetic algorithm was applied. Finally, to validate the developed optimal energy management strategy performance, single fuzzy-logic and hybrid fuzzy logic-genetic algorithm energy management system results are compared for a real power profiles. The optimized fuzzy-logic energy management strategy demonstrated its high performance in improving the system energy efficiency with the reduction of the consumed energy (gain of 7.1% in October (Autonm)), and enhance the permeate water production (gain of 2.96% during a week) compared with the energy management based only fuzzy-logic strategy.
Research Article
Optimal management of power sharing based on hybrid fuzzy logic-genetic algorithm of water desalination system integrated with renewable energy
https://doi.org/10.21203/rs.3.rs-1134658/v1
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Renewable energy
Water/energy management
Fuzzy logic
Genetic algorithm optimization
hybrid fuzzy logic-genetic algorithm
Table 1 Examples of fuzzy logic algorithm for EMS in complex systems.
|
Year, Reference |
System |
Fuzzy logic objective |
|
2018,[16] |
PV/battery/ supercapacitors
|
Manage the power flows between the two storage devices. |
|
2018,[17] |
Hybrid Electric Vehicle |
Select the appropriate power distribution by the hybrid drive- train based on available resources in real time. |
|
2021,[18] |
Electro-Thermal Micro-grid |
Smooth the grid power profile of a grid-connected electro-thermal microgrid. |
|
2020,[19] |
PV/NCA battery/supercapacitor |
Manage the power flows between the two storage devices. |
|
2021,[20] |
PV/Wind/battery |
To alleviate the losses caused owing to the sporadic nature of renewable power sources |
Table 2 The operating modes of the BWRO desalination system.
|
Scenario |
System mode |
|
Mode 0 |
The system is shutdown
|
|
Mode 1 |
Storage
|
|
Mode 2 |
Desalination
|
|
Mode 3 |
Pumping
|
|
Mode 4 |
Desalination + Storage.
|
|
Mode 5 |
Pumping + Storage.
|
|
Mode 6 |
Pumping + Desalination.
|
|
Mode 7 |
Pumping + Desalination + Storage. |
Table 3 Comparative simulation results of the FLEMS and GA_FLEMS.
