Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant
Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System
Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability
Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications
Design of a Robust Controller for the Load Frequency Control of Interconnected Power System
Multi Area Load Frequency Control of a Hybrid Power System with Advanced Machine Learning Controller: Case Study of Andhra Pradesh
A New Hybrid Cuckoo Search-Artificial Bee Colony Approach for Optimal Placing of UPFC Considering Contingencies
Efficiency and Investment Comparison of Monocrystalline, Polycrystalline, and Thin Film Solar Panel Types at Karabuk Conditions
Design of a Grid Connected PV System and Effect of Various Parameters on Energy Generation
Comparative Analysis of Harmonics by Shunt Active Filter using Resonant Current Control in Distribution System
Optimal Distributed Generation Placement for Maximum Loss Reduction using Teaching Learning Based Optimization through Matlab GUI
Development of Power Flow Controller for Grid Connected Renewable Energy Sources Using Lyapunov function
Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT)
Design of PV-Wind Hybrid Micro-Grid System for Domestic Loading
Applications of Artificial Neural Networks in various areas of Power System; A Review
As a result of the problems facing conventional back-up protection, wide area backup protection schemes had shown to be a great alternative. For this reason, a new fault detection scheme is presented in this paper as a part of a wide area backup protection. The scheme relies on the Loss of Synchronism of Buses Index (LSBI), which monitors the sent and received positive sequence power across each lines. The phasor measurement unit provides the positive sequence measurements which are used to calculate the positive sequence powers sent and received at the terminals of each line. The LSBI seeks to find the power consumed within each line by finding the difference between these powers. A predefined threshold value is set for every line in order to be compared for the LSBI of the line to reach decision whether there is a fault on this line or not. The proposed scheme was tested upon New-England NE 39-bus and Western System Coordinating Council (WSCC) 9-bus systems using MATLAB/Simulink software package. The scheme showed its ability to operate correctly even in critical cases such as voltage or current inversion. The proposed scheme proved to be reliable in operation and free of mathematical errors
In modern power systems, optima power flow plays a crucial role in optimizing different types of objective functions for progress and outlining. The purpose of Optima Power Flow (OPF) problem is to attain the optima solution of a considered test system objective function, like fuel cost and loss minimization by fine tuning the power system control variables. In this paper a new stochastic hybrid method, Particle Movement Bee Colony Algorithm (PMBCA) based on Particle Swarm Optimization (PSO) and Honey Bee Colony (HBC) is proposed in addition to existing methods. Comparisons of various traditional and heuristic optimization methods are considered to solve the OPF problems. The utility and efficacy of suggested algorithms is exemplarily tested on the IEEE 30-bus test system. Results prove that the PMBCA algorithm gives better solution and convergence characteristics to enhance the system performance compared with other methods.
In this paper, the Predictive Current Control (PCC) strategy for back-to-back (BTB) voltage source converters used in Permanent Magnet Synchronous Generator (PMSG), Wind Energy Conversion System (WECS) was explained. PCC is used to control the system, where the discrete time models of the BTB converters are used to predict the future state of control variables. Two cost functions are used to evaluate these predictions, and switching states which will minimize these cost functions will be selected and applied to generator side and grid side converter. The control requirements like Maximum Power Point Tracking (MPPT), Direct Current (DC) link voltage regulation and reactive power generation to the grid are satisfied by the PCC approach. Complete procedure for the MATLAB/Simulink implementation of predictive model, extrapolation and cost function employed in the implementation of PCC scheme are presented along with the comparison of the performance of Wind Energy Conversion System (PMSG WECS) and back-to-back (BTB) converter with conventional control technique.
In this paper, a parallel five-leg (P5L) operation of two single-phase rectifiers with three-phase inverter by implementing generalized Space Vector Pulse Width Modulation (SVPWM) is proposed, consisting of two parallel 1-phase half-bridge rectifiers with shared leg. This configuration facilitates the continuity of power flow among the switches though if one switch fails to operate, and reduces the power losses at both rectifier and inverter circuits. The proposed topology is evaluated by connecting 3-phase Induction Motor (IM), which is controlled by SVPWM. The SVPWM is a generalized modulation of PWM derived from Sinusoidal Pulse Width Modulation (SPWM) combination of common-mode voltage. It facilitates the outcomes of the conventional SVPWM with the generalized SVPWM. This power conversion is attained by maintaining the DC-link voltage by using capacitors. This strategy facilitates the balancing of current and voltage at the DC-link. A comparative analysis of machine characteristics with SPWM and SVPWM topology is done. The MATLAB simulation results are analyzed and represented.
Electrical power demand has been increasing day by day in the all areas, where efforts are made to reach the power demand using conventional and nonconventional sources. The main objective of this paper is to provide uninterruptable quality power supply to the customers by selecting the supply from renewable energy sources such as battery bank and local grid. Initially, the load gets power supply from the renewable energy sources (solar, wind), and in its absence it automatically switches over to the local grid supply or to the battery bank. Therefore, the proposed smart power module can improve the system performance and efficiency with low cost, no pollution, and noise presented in this paper. The functions that are displayed on the LCD, has been designed, examined in real time environment and evaluated for the 5 kW load in MATLAB/Simulink environment.