This project shows how to use a back propagation (BP) control method to execute a three-stage delivery static compensator (DSTATCOM) for its capabilities such as load balancing and zero voltage management of reactive power compensation under non-linear loads. In this case, we utilize a BP-based control method to determine the crucial dynamic weight. Furthermore, the BP-based control method is often used to estimate the receptive power parts of the load streams required for estimating the reference source streams. The new topic of research in the field of power engineering is the regulation of power efficiency devices using neural networks. The output of the balancing instruments is defined by the extraction of the harmonic components. DSTATCOM and UPFC are used as balancing devices in this case. A DSTATCOM model is created with the help of a computerized signal processor, and its implementation is tailored to specific working circumstances. With the suggested control method, the execution of DSTATCOM is shown to be appropriate for a variety of workloads. The BP-based control method is used to calculate the basic weighted value of the load's active and reactive power components. The sample-trained back propagation method will identify the power quality signal problem in real-time. This algorithm's main characteristics include continuity, differentiability, and non-decreasing momotomy. The UPFC procedure is similar to that of DSTATCOM, with the exception that the device is not turned off under adverse conditions. The simulation model is created using ANFIS, and its output is investigated under various operating circumstances. For various kinds of loads, the ANFIS output is determined to be acceptable using the suggested control method. The proposed technique must be validated using MATLAB/Simulink findings.
ANN (BP control algorithm), Harmonics (THD), Load balancing, Weights, Power quality and ANFS
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