Electrical energy has been used for decades to power domestic equipment, small and large industries and transportation with the electrification of everything, the availability of electricity becomes crucial. In order to guarantee the continuity of the electrical energy supply, companies must have effective means to prevent risks that may arise on the electricity networks. This paper is focused on the risk of insufficient power supply for end customers. The solutions consist of upsizing the existing equipment configuration and/or add other equipments in order to guarantee an increase in power supply. The proposed approach is based on distributed artificial entities corresponding to the distributed enterprise actors. We propose a control system, based on a decision making system to help decision-makers to take the best scalability solution. The results show that the degree of effectiveness of each type of scalability depends on one electrical system configuration to another.

Electrical energy has been used for decades to power domestic equipment, small and large industries and transportation with the electrification of everything, the availability of electricity becomes crucial. In order to guarantee the continuity of the electrical energy supply, companies must have effective means to prevent risks that may arise on the electricity networks. This paper is focused on the risk of insufficient power supply for end customers. The solutions consist of upsizing the existing equipment configuration and/or add other equipments in order to guarantee an increase in power supply. The proposed approach is based on distributed artificial entities corresponding to the distributed enterprise actors. We propose a control system, based on a decision making system to help decision-makers to take the best scalability solution. The results show that the degree of effectiveness of each type of scalability depends on one electrical system configuration to another.

Regarding continued growth in the use of electrical energy, it is important to meet the final customer demand. In a smart grid context, there are several ways to do this. One of means is to add energy storages and infrastructures. We are so interested in this study to the modification of electrical infrastructures. By adapting organizations, managers and their teams must have the adequate behavior and decision making to modify existing materials or add new materials into the existing system. This paper shows a company team's behavior which operates in the field of energy supplying. The purpose of this paper is to show how teams' managers can use a past experience, and to evaluate the impact of structure modification according to decision making using the case based reasoning. The experiments concern more precisely the quantitative aspect of exchanged messages between managers and their teams.