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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.

Real power-system economic dispatch using a variable weights linear programming method

Rahli M., Benasla L., Belmadani A., Abdelhakem-Koridak L

Journal of Power Technologies

2015

Vol. 95, nr 1

34--39

This paper presents an ecient method to solve an economic load dispatch problem with load flow type network security constraints: the active generation limits and line active power flows limits. A new form of linear programming method is proposed: a variable weights linear programming. The nonlinear dispatch problem is transformed into a linear one through variable weights linear programming. To achieve good linear, representation the nonlinear cost functions between the active generation limits are approximated by the sum of products of cost values multiplied by the variable weights. The nonlinear equality network constraint containing the losses expressed by the specially formulated and calculated function of generated powers is transformed into a linear one, the same manner as above. The set of nonlinear inequality constraints on line active power flows is linearly expressed in terms of active bus generation powers with upper limits on the active power flow to each violating lines. The dispatch problem transformed this manner with or without solving the load flow problem is demonstrated that the proposed method has practical application for real-time control/dispatch.