scholarly journals Multi‐objective optimization of integrated gas–electricity energy system based on improved multi‐object cuckoo algorithm

2021 ◽  
Author(s):  
Bowen Yang
Keyword(s):  
Energy System ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Cuckoo Algorithm

scholarly journals Multi-Objective Optimization of Autonomous Microgrids with Reliability Consideration

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4466
Author(s):  
Maël Riou ◽  
Florian Dupriez-Robin ◽  
Dominique Grondin ◽  
Christophe Le Loup ◽  
Michel Benne ◽  
...  
Keyword(s):  
Power Systems ◽  
Rural Areas ◽  
Energy System ◽  
Design Stage ◽  
Multi Objective Optimization ◽  
Renewable Energy Resources ◽  
Nsga Ii ◽  
Renewable Integration ◽  
Multi Objective ◽  
Trade Offs

Microgrids operating on renewable energy resources have potential for powering rural areas located far from existing grid infrastructures. These small power systems typically host a hybrid energy system of diverse architecture and size. An effective integration of renewable energies resources requires careful design. Sizing methodologies often lack the consideration for reliability and this aspect is limited to power adequacy. There exists an inherent trade-off between renewable integration, cost, and reliability. To bridge this gap, a sizing methodology has been developed to perform multi-objective optimization, considering the three design objectives mentioned above. This method is based on the non-dominated sorting genetic algorithm (NSGA-II) that returns the set of optimal solutions under all objectives. This method aims to identify the trade-offs between renewable integration, reliability, and cost allowing to choose the adequate architecture and sizing accordingly. As a case study, we consider an autonomous microgrid, currently being installed in a rural area in Mali. The results show that increasing system reliability can be done at the least cost if carried out in the initial design stage.

Energy, exergy and exergoeconomic (3E) analyses and multi-objective optimization of a solar and geothermal based integrated energy system

2018 ◽  
Vol 143 ◽  
pp. 1011-1022 ◽  
Author(s):  
Amirmohammad Behzadi ◽  
Ehsan Gholamian ◽  
Pouria Ahmadi ◽  
Ali Habibollahzade ◽  
Mehdi Ashjaee
Keyword(s):  
Energy System ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Integrated Energy System
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