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Solving Smart Grid Local Problems Based on Constraint Optimization

Ghizlane El Khattabi, Imade Benelallam, El Houssine Bouyakhf


The appearance of several new electrical equipment types causes a strong demand for electricity. This brings cutouts causing very large losses. As well as the greenhouse gases emitted by the current plants can cause material and human damages. Smart Grids have emerged to meet these requirements. The various works, carried out up to now, architect the Smart Grids in three levels. i) The local level that can present a house, a building, a hospital or a factory ii) the microgrid level which serves as a bridge between the first and the third level and iii) the level of Transmission and Distribution that serves to transmit and distribute the energy between the different locals. These works themselves
have proposed fairly complex computer science methods that remain until now theoretical. Constraint Programming (CP) with its components is proved as a strong concept to represent mathematically several complex real problems. In this paper, we are going to use one of these components which is the Constraint Optimization Problem (COP), which represent each problem as variables, constraints and objective functions to optimize, in order to model and solve the local level and to optimize the energy distribution. Results exhibit the feasibility and strength of the proposed methods.


Smart Grid, Electricity, Constraint Satisfaction Problem (CSP), Constraint Optimization Problem (COP), Artificial Intelligence.

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