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2 Przegląd Elektrotechniczny

2 2019

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Application of a new meta-heuristic algorithm using egyptian vulture optimization for economic

100%

Si Tayeb A. , Bouzeboudja H.

tom R. 95, nr 6

56--65

The industrialization and the growth of the population are the first factors for which the consumption of electrical energy increases regularly, which implies an increase of the cost and a degradation of the natural environment, so we need to solve the technical and economic dispatching problems. This paper presents, for the first time, the basis of EVOA approach in economic dispatching problems (EDP).,This approach is proposed to solve the non-convex and non-continuous EDP., The effectiveness of the proposed method is examined and validated by carrying out extensive test systems using three, six and fifteen generating units. Numerical results show that the EVOA method has a good convergence property, The result shows that the proposed method can reliably handle complex objective optimization problems in strong and effective way the generation costs tested by the EVOA method are lower than other optimization algorithms reported in literature.

W artykule zaprezentowano podstawy metody EVOA zastosowanej do rozwiązania problemu ekonomicznego rozsyłu energii EDP. Metoda stosowana jest do rozwiązania problemu nieciągłego EDP. Sprawdzono ją dla układów 3, 6 I 15 generatorów.

The use of Grey Wolf Optimizer (GWO) for solving the economic dispatch problems based on renewable energy in algeria a case study of “Naama Site”

80%

Maamri M. , Bouzeboudja H. , Tandjaoui M. N.

tom R. 95, nr 6

32--39

The use of renewable energy sources worldwide will increase, leading to a more sustainable energy mix, reduced greenhouse gas emissions and reduced dependence on oil. Therefore, the integration of renewable energy systems into the grid is very important. Wind and solar energy are one of the renewable means of electricity production that is part of the global debate on the future of energy production and use and their effects on the environment. The main purpose of this study was to present a technique on how to optimize integrating a wind and solar energy in Algeria. A case study (Naama site). In this study, a scenario will be taken for analyzing the impact of the integration of this renewable energy (wind/solar), on the economic dispatch problems where it has been resolved with a new naturally inspired algorithm called a Gray Wolf Optimizer algorithm (GWO), the results obtained show that the grey wolf optimizer used in this paper either matches or outperforms the other methods in terms of solution of economic dispatch problems.

W artykule optymlizację zintegrowania żródeł energii wiatroej i słonecznej z uwzględnieniem aspektów ekonomicznych na przykładzie Algerii. Do optymalizacji wykorzystano algorytm nazwany Gray Wolf Optimizer algorithm (GWO).