THE EFFECT OF FACTS DEVICES ON LOAD FREQUENCY MANAGEMENT IN A DEREGULATED POWER ENVIRONMENT, TAKING INTO ACCOUNT A VARIETY OF POWER SOURCES THAT ARE LINKED
Keywords:
Engineering, frequency management, power sourcesAbstract
This thesis presents research that focuses on the design of both traditional and intelligent control systems with the aim of acquiring the most effective load frequency (LFC) control solution possible. The research was conducted with the intention of acquiring the most effective load frequency (LFC) control solution. As a result of the liberalization of the energy sector and the growing usage of power electronics-based devices inside the power grid, researchers are paying an increasing amount of attention to the LFC problem. This is a direct consequence of both of these factors. The most cutting-edge LFC control algorithm has been the subject of a substantial amount of research and development over the course of the past several decades thanks to the huge amount of effort that has been put into its creation. Research and development of effective control algorithms for LFC are still areas that require a significant amount of attention and effort. This activity entails acquiring information, strategies, and other cognitive processes from a diverse range of sources, which may be found online and in print. Power transfer through old tie-lines that are working close to their nominal constraints as a result of the random nature of load variation can create low-frequency oscillations. These oscillations can be heard as a humming sound. This is because there is a growing need for load, as well as a considerable number of power systems that already have existing tie-lines. Both of these factors have contributed to this situation. Active research is being done in the field of study known as LFC in today's modern power systems. This field of study focuses on discovering strategies to suppress low-frequency oscillations and is named after its acronym. This research will ultimately result in a more fast reduction in low-frequency oscillations as a result of the establishment of a number of distinct intelligent control strategies that will be developed during the course of this research to improve the damping of the system.
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