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Application of a new hybridization to solve economic dispatch problem on an Algerian power system without or with connection to a renewable energy

Si Tayeb Abdelkader, Larouci Benyekhlef, Rezzak Daoud, Houam Yehya, Bouzeboudja Hamid, Bouchakour Abdelhak

Diagnostyka

2021

Vol. 22, No. 3

101--112

The most important contribution of this article is the use of four metaheuristic approaches to tackle the problem of economic dispatching, with the goal to study the influence of the injection of a renewable energy source on the electricity cost in the Algerian network, and minimizing the production cost of electrical energy while accounting for transmission losses. A Genetic Algorithm (GA) (a real coding) and Egyptian Vulture Optimization Algorithm (EVOA), as well as two hybridizations between the metaheuristics: Classic and Modern hybridization (C.H.GA-EVOA, M.H.GA-EVOA), are presented in this work. These techniques are used to address optimization difficulties of two Algerian electricity networks. The first has three system units, whereas the second has fifteen system units. The second electricity network is connected to a solar energy source. The findings obtained are compared with other techniques to validate the high performance of the suggested methods for addressing the economic dispatch issue. This study demonstrates that EVOA and C.H.GA-EVOA provide trustworthy results, and that M.H.GA-EVOA surpasses them.

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

Si Tayeb Abdelkader, Bouzeboudja Hamid

Przegląd Elektrotechniczny

2019

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.