As the Distributed Generation (DG) is evolving, the distribution network has undergone tremendous change. The DG sources like wind and solar are intermittent in nature. Hence to estimate the Active distribution network’s (ADN) parameters (Voltage and Current) accurately with the DG variation, the traditional offline method like long-term smart distribution network planning (with off-line variant) method is not feasible in terms of network’s reliability and operation. In this work, an online voltage estimation technique using PMU (Phasor Measurement Unit) technology is proposed to enhance a distribution network’s reliable operation and real-time monitoring. The proposed estimation method does not require PMU units at all nodes in the network. The estimation of unknown states information can be achieved from available PMU unit’s data. The proposed methodology is economical and feasible for voltage estimation, and system observability as the number of PMU units required is less. The standard IEEE Distribution network systems are considered for checking the feasibility of the recommended technique. For the simulation of the case studies, MATLAB programming is used. A Forward and Backward sweep (FBS) load-flow algorithm is used to authenticate the proposed methodology.

To properly control the network of the power system and ensure its protection, Phasor measurement units (PMUs) must be used to monitor the network’s operation. PMUs can provide synchronized real-time measurements. These measurements can be used for state estimation, fault detection and diagnosis, and other grid control applications. Conventional state estimation methods use weighting factors to balance the different types of measurements, and zero injection measurements can lead to large weighting factors that can introduce computational errors. The offered methods are designed to ensure that these zero injection criteria can be strictly satisfied while calculating the voltage profile and observability of the various distribution networks without sacrificing computing efficiency. The proposed method’s viability is assessed using standard IEEE distribution networks. MATLAB coding is used to simulate the case analyses. Overall, the study provides a valuable contribution to the field of power distribution system monitoring and control by simplifying the process of determining the optimal locations for PMUs in a distribution network and assessing the impact of ZI buses on the voltage profile of the system.

Utility side consumers are in the remote areas who are not linked by the central electrical grid network, hybrid systems such as Photovoltaic/Microturbine have been considered as the most reliable, desired and attractive unconventional source of power supply. This documents the analysis and simulation of a Photovoltaic/Microturbine hybrid system using MATLAB/SIMULINK, simpower system block sets as its simulation software. The system is designed entirely based on the concept of a parallel hybrid configuration. The software modeling of a Photovoltaic/Microturbine system provides an in-depth understanding of the system operation before building the actual system and also the testing and experiments of system operation under disturbances is not possible on the actual system.

Utility side consumers are in the remote areas who are not linked by the central electrical grid network, hybrid systems such as Photovoltaic/Microturbine have been considered as the most reliable, desired and attractive unconventional source of power supply. This documents the analysis and simulation of a Photovoltaic/Microturbine hybrid system using MATLAB/SIMULINK, simpower system block sets as its simulation software. The system is designed entirely based on the concept of a parallel hybrid configuration. The software modeling of a Photovoltaic/Microturbine system provides an in-depth understanding of the system operation before building the actual system and also the testing and experiments of system operation under disturbances is not possible on the actual system.

This work explores permanent-magnet synchronous motor (PMSM) technology and its control methods, focusing on field-oriented control (FOC) for precise motor control. It discusses hardware development using ORCAD and MATLAB/Simulink for modeling, analysis, and code generation. Recent technological trends in PMSM drive applications, including variable-frequency drive (VFD) control, are highlighted alongside performance evaluations. The use of the Embedded Coder toolbox in Simulink is emphasized for efficient C code generation for embedded targets like DSP controllers. Overall, this paper presents a comprehensive overview of PMSM control methodologies and their practical implementations.Rudra

This paper proposes a load flow model to estimate the actual power output by incorporating time series data for solar irradiance and wind speed at a specific location. The integration of this time series data into the network is carried out in three distinct scenarios: considering only solar output, only wind output, and the combined contribution of solar and wind. These data integration processes are followed by load flow analysis conducted on the standard IEEE 33Bus radial distribution system. The time series simulations are executed using OpenDSS (Open Distribution System Simulator) software, which utilizes a COM (Common Object Model) interface to display results in MATLAB.