Multi-objective NPO Minimizing the Total Cost and CO2 Emissions for a Stand-Alone Hybrid Energy System

2021 ◽  
pp. 351-363
Author(s):  
Abbas Q. Mohammed ◽  
Kassim A. Al-Anbarri ◽  
Rafid M. Hannun
Keyword(s):  
Co2 Emissions ◽  
Energy System ◽  
Hybrid Energy System ◽  
Total Cost ◽  
Hybrid Energy ◽  
Multi Objective

scholarly journals Electricity Curtailment Cost Coupled to Operation Model Facilitates Clean Energy Accommodation in Grid-Connected System

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2802
Author(s):  
Qiumei Ma ◽  
Yawei Zhao ◽  
Changming Ji ◽  
Yanke Zhang ◽  
Bo Ming
Keyword(s):  
Equilibrium Solution ◽  
Clean Energy ◽  
Energy System ◽  
Energy Utilization ◽  
Hybrid Energy System ◽  
Total Cost ◽  
Hybrid Energy ◽  
Multi Objective ◽  
Energy Accommodation ◽  
Current Operation

Electricity transmission in a grid-connected system provides an effective solution to promoting clean energy accommodation. However, with arbitrary determination in current operation models, the clean energy utilization ratio (CEUR) is not satisfactory largely due to the lack of electricity curtailment (the electricity equivalent of clean energy curtailment) cost-dependent optimization. In this study, a curtailment cost-dependent multi-objective operation (CCMO) model was proposed to complementarily operate a grid-connected hybrid energy system, identify optimal CEUR, and thus maximally reduce electricity curtailment. The CCMO model centers on coupling the punishment cost of electricity curtailment with the multi-objective function defined as the total cost of each grid component. The CCMO model was solved to derive the optimal equilibrium solution determined based on multiple non-dominated solutions. A grid-connected hybrid energy system including the Yunnan, Guangdong, and Guangxi Power Grids was used to test the model performance. The results showed that the CCMO model’s CEUR was up to 100% at hourly scale and 96.9% on daily average, which were both significantly higher than those in the current operation models. Furthermore, the CCMO’s optimal equilibrium solution, i.e., respective minimum total cost of each grid component, can also identify optimal transmission schemes of the daily channel utilization to make the peak utilization hours largest.

scholarly journals Optimal Sizing of an Island Hybrid Microgrid Based on Improved Multi-Objective Grey Wolf Optimizer

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1581
Author(s):  
Wenqiang Zhu ◽  
Jiang Guo ◽  
Guo Zhao ◽  
Bing Zeng
Keyword(s):  
Power Supply ◽  
Tidal Current ◽  
System Optimization ◽  
Energy System ◽  
Energy Sources ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Multi Objective

The hybrid renewable energy system is a promising and significant technology for clean and sustainable island power supply. Among the abundant ocean energy sources, tidal current energy appears to be very valuable due to its excellent predictability and stability, particularly compared with the intermittent wind and solar energy. In this paper, an island hybrid energy microgrid composed of photovoltaic, wind, tidal current, battery and diesel is constructed according to the actual energy sources. A sizing optimization method based on improved multi-objective grey wolf optimizer (IMOGWO) is presented to optimize the hybrid energy system. The proposed method is applied to determine the optimal system size, which is a multi-objective problem including the minimization of annualized cost of system (CACS) and deficiency of power supply probability (DPSP). MATLAB software is utilized to program and simulate the hybrid energy system. Optimization results confirm that IMOGWO is feasible to optimally size the system, and the energy management strategy effectively matches the requirements of system operation. Furthermore, comparison of hybrid systems with and without tidal current turbines is undertaken to confirm that the utilization of tidal current turbines can contribute to enhancing system reliability and reducing system investment, especially in areas with abundant tidal energy sources.

scholarly journals A fuzzy‐based multi‐objective robust optimization model for a regional hybrid energy system considering uncertainty

2020 ◽  
Vol 8 (4) ◽  
pp. 926-943 ◽  
Author(s):  
Xueying Song ◽  
Rui Zhao ◽  
Gejirifu De ◽  
Jing Wu ◽  
Huayu Shen ◽  
...  
Keyword(s):  
Robust Optimization ◽  
Optimization Model ◽  
Energy System ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Multi Objective

scholarly journals Multi-Objective Optimization Design for a Hybrid Energy System Using the Genetic Algorithm

Energies ◽  
2015 ◽  
Vol 8 (4) ◽  
pp. 2924-2949 ◽  
Author(s):  
Myeong Ko ◽  
Yong Kim ◽  
Min Chung ◽  
Hung Jeon
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Energy System ◽  
Multi Objective Optimization ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Multi Objective
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