scholarly journals Multi-Objective Optimal Power Flow With Integration of Renewable Energy Sources Using Fuzzy Membership Function

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 143185-143200
Author(s):  
Muhammad Arsalan Ilyas ◽  
Ghulam Abbas ◽  
Thamer Alquthami ◽  
Muhammad Awais ◽  
Muhammad Babar Rasheed
Keyword(s):  
Renewable Energy ◽  
Membership Function ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Renewable Energy Sources ◽  
Fuzzy Membership ◽  
Energy Sources ◽  
Fuzzy Membership Function ◽  
Multi Objective ◽  
Optimal Power

An efficient optimal power flow management based microgrid in hybrid renewable energy system using hybrid technique

2020 ◽  
pp. 014233122096168
Author(s):  
P Annapandi ◽  
R Banumathi ◽  
NS Pratheeba ◽  
A Amala Manuela
Keyword(s):  
Renewable Energy ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Spotted Hyena ◽  
Flow Management ◽  
Control Signals ◽  
Optimal Power ◽  
Hybrid Renewable Energy

In this paper, the optimal power flow management-based microgrid in hybrid renewable energy sources with hybrid proposed technique is presented. The photovoltaic, wind turbine, fuel cell and battery are also presented. The proposed technique is the combined execution of both spotted hyena optimization and elephant herding optimization. Spotted hyena optimization is utilized to optimize the combination of controller parameters based on the voltage variation. In the proposed technique, the spotted hyena optimization combined with elephant herding optimization plays out the assessment procedure to establish the exact control signals for the system and builds up the control signals for offline way in light of the power variety between source side and load side. The objective function is defined by the system data subject to equality and inequality constraints such as real and reactive power limits, power loss limit, and power balance of the system and so on. The constraint is the availability of the renewable energy sources and power demand from the load side in which the battery is used only for lighting load. By utilizing the proposed method, the power flow constraints are restored into secure limits with the reduced cost. At that point, the proposed model is executed in the Matrix Laboratory/Simulink working platform and the execution is assessed with the existing techniques. In this article, the performance analysis of proposed and existing techniques such as elephant herding optimization, particle swarm optimization, and bat algorithm are evaluated. Furthermore, the statistical analysis is also performed. The result reveals that the power flow of the hybrid renewable energy sources by the proposed method is effectively managed when compared with existing techniques.

scholarly journals Optimal Power Flow model with energy storage, an extension towards large integration of renewable energy sources.

2014 ◽  
Vol 47 (3) ◽  
pp. 9456-9461 ◽  
Author(s):  
Alessio Maffei ◽  
Daniela Meola ◽  
Giancarlo Marafioti ◽  
Giovanni Palmieri ◽  
Luigi Iannelli ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Model ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Optimal Power
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