Least cost generation expansion planning with solar power plant using Differential Evolution algorithm

2016 ◽  
Vol 85 ◽  
pp. 677-686 ◽  
Author(s):  
K. Rajesh ◽  
A. Bhuvanesh ◽  
S. Kannan ◽  
C. Thangaraj
Keyword(s):  
Power Plant ◽  
Differential Evolution ◽  
Solar Power ◽  
Differential Evolution Algorithm ◽  
Solar Power Plant ◽  
Generation Expansion Planning ◽  
Expansion Planning ◽  
Generation Expansion ◽  
Evolution Algorithm

Application of Differential Evolution Algorithm in Transmission Expansion Planning

2013 ◽  
Vol 394 ◽  
pp. 314-320
Author(s):  
Ibrahim Al Hamrouni ◽  
Azhar Khairuddin ◽  
M. Salem
Keyword(s):  
Differential Evolution ◽  
Heuristic Method ◽  
Differential Evolution Algorithm ◽  
Mathematical Optimization ◽  
Minimum Cost ◽  
Optimization Methods ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Evolution Algorithm

Transmission expansion planning has become a complicated procedure more than it was. The rapid growth of the transmission networks and the deregulation has introduced more objectives and uncertainties to the transmission network planners. As a result of that, new approach and criteria that can replace the old ones are needed for TEP problem. The main goal of this process is to locate the additional transmission lines that must be added to meet the forecasted load in the system adequately with minimum cost. There have been several methods applied for this purpose; mathematical optimization methods, heuristic and Meta heuristic methods. This paper reviews the use of Meta heuristic method by the means of differential evolution algorithm (DEA) to solve this multi objective optimization problem. In addition, some suggestions have been made by the author that can make the DEA more efficient and applicable in the real world networks.

scholarly journals Optimization Model for Biogas Power Plant Feedstock Mixture Considering Feedstock and Transportation Costs Using a Differential Evolution Algorithm

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1610 ◽  
Author(s):  
Danijel Topić ◽  
Marinko Barukčić ◽  
Dražen Mandžukić ◽  
Cecilia Mezei
Keyword(s):  
Power Plant ◽  
Differential Evolution ◽  
Optimization Model ◽  
Power Plants ◽  
Differential Evolution Algorithm ◽  
Transportation Costs ◽  
Proposed Model ◽  
Transportation Distance ◽  
Evolution Algorithm ◽  
Plant Feedstock

In this paper, an optimization model for biogas power plant feedstock mixture with respect to feedstock and transportation costs using a differential evolution algorithm (DEA) is presented. A mathematical model and an optimization problem are presented. The proposed model introduces an optimal mixture of different feedstock combinations in a biogas power plant and informs about the maximal transportation distance for each feedstock before being unprofitable. In the case study, the proposed model is applied to five most commonly used feedstock in biogas power plants in Croatia and Hungary. The research is performed for a situation when the biogas power plant is not owned by the farm owner but by a third party. An optimization procedure is performed for each scenario with a cost of methane production that does not exceed 0.75 EUR/m3 in 1 MWe biogas power plant. The results show the needed yearly amounts and the maximum transportation distance of each feedstock.

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