The fuzzy logic controller, FLC, it is part of the control with artificial intelligence (AI), and implies obtaining of improved signal wave forms at output and reduction of oscillations (such as output speed variation, torque variation, current variation for the three phases) comparatively with the classic control. This paper presents two cases of FLC for exterior permanent magnet synchronous machines, PMSM, (Ld=Lq), with 25 rules and with 49 rules. The FLC is developed to have less computational burden, which makes it suitable for real time implementation. The dynamic performances of permanent magnet synchronous machines opens new possibilities of large scale application of PMSM which has a high torque density, with low losses/torque ratio, high power factor and quick torque and speed response. For the real time implementation we have made reference to the digital signal processor controller board DS1104.I.
Deregulation of energy market led to the development of flexible and efficient framework for energy trading by energy companies in a competitive environment. Both deregulation and the concern towards environment issues increased the number of small and medium renewable power plants distributed in the network. The variability of renewable energy sources and the lack of their central monitoring led to new challenges concerning power system operation. The idea of aggregation for distributed energy sources led to the concept of virtual power plant, which determines a better control of production units but also a better visibility for the system operator. In this paper, the authors propose an optimal management solution which can offer a virtual power plant the capability to sell complete services, both for production and demand side management, by decreasing the necessary reserve for balance.
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