Minimizando o custo global de Infraestrutura de Comunicação e alocação de PMUs em WAMS: uma abordagem via grafos

In this paper, we present a new method for the design of WAMS (Wide Area Measurement Systems). State estimation is responsible for processing measurements in real time and providing a complete and secure database for Wide Area Measurement Systems, therefore the power system is increasingly dependent on PMU measurements. The high cost of the communication infrastructure together with the cost of the PMU encouraged the development of new PMU placement solutions in order to ensure the observability of the system. The new methodology has an emphasis on optimizing the cost of the communication infrastructure, so that the smallest number of PMUs satisfies the condition of a lower total cost. Our results show the effectiveness of the proposed methodology when compared to research in recent previous works. The simulations were performed using IEEE-14, IEEE-30, IEEE-118 and IEEE-300 standards.