A MODA and MODE Comparison for Optimal Allocation of Distributed Generations with Different Load Levels

In this paper, the performance of different optimization techniques namely, multi-objective dragonfly algorithm (MODA) and multi-objective differential evolution (MODE) are presented and compared. The uncertainty effect of a wind turbine (WT) on the performance of the distribution system is taken in...

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Veröffentlicht in:	Sustainability 2019-10, Vol.11 (19), p.5323
Hauptverfasser:	Alkhalaf, Salem, Senjyu, Tomonobu, Saleh, Ayat Ali, Hemeida, Ashraf M., Mohamed, Al-Attar Ali
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alternative energy sources Computer simulation Decision making Distributed generation Electrical loads Energy resources Evolutionary algorithms Evolutionary computation Load distribution Mathematical models Multiple objective analysis Objective function Operating costs Optimization Optimization algorithms Optimization techniques Power loss Radial distribution Renewable resources Stress concentration System effectiveness Systems stability Turbines Uncertainty Voltage stability Wind effects Wind power
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