scholarly journals Design Framework of a Stand-Alone Microgrid Considering Power System Performance and Economic Efficiency

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 457
Author(s):  
Hak-Ju Lee ◽  
Ba Hau Vu ◽  
Rehman Zafar ◽  
Sung-Wook Hwang ◽  
Il-Yop Chung
Keyword(s):  
Power System ◽  
System Performance ◽  
System Analysis ◽  
Renewable Energy Sources ◽  
Economic Feasibility ◽  
Development Economic ◽  
Design Framework ◽  
Study Results ◽  
Power System Performance ◽  
Microgrid Design

Stand-alone microgrids integrating renewable energy sources have emerged as an efficient energy solution for electrifying isolated sites, such as islands and remote areas. The design of a microgrid involves various influential factors, including technological development, economic feasibility, and environmental impacts, based on the conditions and regulations of a particular site. This paper proposes a comprehensive microgrid design framework based on power system analysis and techno-economic analysis. The obtained optimal microgrid configuration satisfies both the design objective and power system performance regulations. The proposed design approach focuses on using practical data and can adapt to any microgrid design problems based on the local characteristics of a specific site. The practicality and effectiveness of the design framework are validated by applying it to the design of a stand-alone microgrid for Deokjeok Island in South Korea. The case study results justify the importance of considering site-specific characteristics and the impacts of power system conditions on the optimal microgrid design.

scholarly journals Sizing Control and Hardware Implementation of a Hybrid Wind-Solar Power System, Based on an ANN Approach, for Pumping Water

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Ons Zarrad ◽  
Mohamed Ali Hajjaji ◽  
Aymen Jemaa ◽  
Mohamed Nejib Mansouri
Keyword(s):  
Power System ◽  
System Performance ◽  
High Performance ◽  
Power Flow ◽  
Hardware Implementation ◽  
Atmospheric Conditions ◽  
Neural Network Controller ◽  
Power Point ◽  
Energy Instability ◽  
Power System Performance

In our day, solar energy and wind energy are becoming more and more used as renewable sources by various countries for different uses such as in an isolated home. These energies admit a unique limitation related to the characteristic of energy instability. For this, the objective of this manuscript is to command and synchronize the power flow of a hybrid system using two sources of energy (solar and wind). The first contribution of our work is the utilization of an artificial neural network controller to command, at fixed atmospheric conditions, the maximum power point. The second contribution is the optimization of the system respecting real-time constraints to increase a generating system performance. As a matter of fact, the proposed system and the controller are modeled using MATLAB/Simulink and a Xilinx System Generator is utilized for hardware implementation. The simulation results, compared with other works in the literature, present high performance, efficiency, and precision. The suggested system and its control strategy give the opportunity of optimizing the hybrid power system performance, which is utilized in rural pumping or other smart house applications.

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