Optimal short-term operation of pumped-storage power plants with differential evolution algorithm

Energy ◽  
2020 ◽  
Vol 194 ◽  
pp. 116866 ◽  
Author(s):  
Serdar Özyön
Keyword(s):  
Differential Evolution ◽  
Power Plants ◽  
Differential Evolution Algorithm ◽  
Short Term ◽  
Term Operation ◽  
Evolution Algorithm ◽  
Pumped Storage

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.

The Differential Evolution and its Application in Short-Term Scheduling of Hydro Unit

2011 ◽  
Vol 243-249 ◽  
pp. 4642-4646
Author(s):  
Hai Ying Deng ◽  
Zhi Gang Zhang ◽  
Yi Gang Yu
Keyword(s):  
Mathematical Programming ◽  
Differential Evolution ◽  
Optimization Problem ◽  
Search Strategy ◽  
Differential Evolution Algorithm ◽  
Short Term ◽  
Specific Memory ◽  
Complex Optimization ◽  
Evolution Algorithm ◽  
Optimization Search

Differential evolution algorithm (differential evolution, DE) is a multi-objective evolutionary algorithm based on groups, which instructs optimization search by swarm intelligence produced by co-operation and competition among individuals within groups. While it can track the dynamics of the current search by the DE specific memory, in order to adjust their search strategy. The strong global convergence and robustness of the characteristics can solve the complex optimization problem which it hardly solves with the mathematical programming methods. This paper presents it to the research of short-term scheduling of hydro plant. Accord to the application of the hydro unit, the results shows that reasonable and effective.

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