scholarly journals Optimal design of grid-connected hybrid renewable energy systems using multi-objective evolutionary algorithm

2017 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Zhichao Shi ◽  
Rui Wang ◽  
Xiaoyu Zhang ◽  
Yan Zhang ◽  
Tao Zhang
Keyword(s):  
Renewable Energy ◽  
Optimal Design ◽  
Evolutionary Algorithm ◽  
Energy Systems ◽  
Renewable Energy Systems ◽  
Multi Objective ◽  
Hybrid Renewable Energy Systems ◽  
Hybrid Renewable Energy

scholarly journals Multi-Objective Decision-Making for Hybrid Renewable Energy Systems for Cities: A Case Study of Xiongan New District in China

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6223
Author(s):  
Bin Ye ◽  
Minhua Zhou ◽  
Dan Yan ◽  
Yin Li
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Energy Systems ◽  
Energy System ◽  
Energy Utilization ◽  
Target Area ◽  
Renewable Energy Systems ◽  
Multi Objective ◽  
Hybrid Renewable Energy Systems ◽  
Hybrid Renewable Energy

The application of renewable energy has become increasingly widespread worldwide because of its advantages of resource abundance and environmental friendliness. However, the deployment of hybrid renewable energy systems (HRESs) varies greatly from city to city due to large differences in economic endurance, social acceptance and renewable energy endowment. Urban policymakers thus face great challenges in promoting local clean renewable energy utilization. To address these issues, this paper proposes a combined multi-objective optimization method, and the specific process of this method is described as follows. The Hybrid Optimization Model for electric energy was first used to examine five different scenarios of renewable energy systems. Then, the Technique for Order Preference by Similarity to an Ideal Solution was applied using eleven comprehensive indicators to determine the best option for the target area using three different weights. To verify the feasibility of this method, Xiongan New District (XND) was selected as an example to illustrate the process of selecting the optimal HRES. The empirical results of simulation tools and multi-objective decision-making show that the Photovoltaic-Diesel-Battery off-grid energy system (option III) and PV-Diesel-Hydrogen-Battery off-grid energy system (option V) are two highly feasible schemes for an HRES in XND. The cost of energy for these two options is 0.203 and 0.209 $/kWh, respectively, and the carbon dioxide emissions are 14,473 t/yr and 345 t/yr, respectively. Our results provide a reference for policymakers in deploying an HRES in the XND area.

Multi-criteria PSO-based optimal design of grid-connected hybrid renewable energy systems

2020 ◽  
Vol 17 (11) ◽  
pp. 617-631
Author(s):  
Fariborz Mansouri Kouhestani ◽  
James Byrne ◽  
Daniel Johnson ◽  
Locke Spencer ◽  
Bryson Brown ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Optimal Design ◽  
Energy Systems ◽  
Renewable Energy Systems ◽  
Hybrid Renewable Energy Systems ◽  
Hybrid Renewable Energy
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