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
The main aim of this paper is to obtain maximum power from the solar panel by introducing a fuzzy logic controller with Luo converter and implementing the same with Artificial Bee Colony (ABC) algorithm for tuning the controller. Two solar modules are proposed in series namely, uniform solar illumination and partial shading model. Luo converter modifies the results of solar panels, which is captured from a digital signal processor with the criteria such as load impedance and the characteristics of the solar panel. This study incorporates a power supply with the ultimate short circuit current of 5 A and largest open circuit voltage of 60 V. The given load is varied repeatedly in order to visualize the VI curve and check the viability of the power source. The efficiency of the Photovoltaic (PV) system is improved with the help of Maximum Power Point Tracking (MPPT). A comparative study on fuzzy logic based MPPT algorithm and ABC algorithm for solar system is conducted and the performance characteristics of these two methods are simulated and analyzed in MATLAB / Simulink. The ABC based control technique gives advantage of low settling time, high percentage overshoot and high gain for different values of load.
In this paper, the multi-machine Power System Stabilizer (PSS) with Genetic Algorithm (GA), PID-PSS using GA and PID-PSS using Ant Colony Optimization (ACO) have been proposed. The aim of designing a robust controller is to improve transient stability and damping of low frequency oscillations. The conventional PSS is replaced by PID-PSS and a research has been done on feedback controllers design using artificial intelligence optimization techniques that are GA-PSS, GAPID- PSS and ACO-PID to obtain the best performance of transient stability control of multi machine power system. The minimization criteria of error overshoot and settling time is done through Integral of Time-weighted Absolute Error (ITAE) method. The research found that GA-PID-PSS has better performance over GA-PSS, such that tuning of PID-PSS is again resolved through ACO based metaheuristic technique. This ACO-PID-PSS is coordinated with Static VAR Compensator (SVC) with a Proportional Integral (PI) type auxiliary controller. The proposed coordination is tested in a 4 machine 6 bus power system in MATLAB/Simulink. The robustness and impressiveness of the proposed coordination results were compared with their overshoot and settling time.
Over the years, one of the key areas of interest in power system is to achieve the adequate conditions needed for stability. Load changes, generator outages, line outages, faults and voltage collapses are some of the disturbances that affects the stable power system operation by dissipating energy. The amount of dissipation of transient energy is frequently used as a device to measure dynamic system restraining. This paper relates and discourses the control approach for suppressing unwanted electromechanical fluctuations in the power system with a STATCOM, a Voltage Source Converter (VSC) capable of generating or absorbing independently controllable reactive power at its terminal and TCSC is a device that is added in series to compensate the reactive losses in the transmission line. A SMIB power system was considered over a several disturbances. The results obtained, through MATLAB simulation, show the efficiency and strength of these devices in power system stability.
Reliability appraisal is the most important factor in designing and planning the power delivery system, and it must operate economically with minimal disruption without any burden to the customers. The distribution system provides the ultimate connection between an application exchange system and its customers. It is observed that more than 80% of all customer interruptions occur (i.e. power quality issues) due to component failures in the distribution system. This report quantifies the expected reliability indices, such as interruption frequency and interruption duration during the entire year. Many researches assess the reliability of the power system. Further, due to the wide growth of distributed generation in electrical power, investigating their impact on system reliability becomes a key area of research. In this paper, the reliability evaluation of distribution system using a minimal cut set method based on the FMEA technique is described and applied to the IEEE RBTS Bus-2 and Indian practical distribution system (33/11 kV). Development of ETAP software is presented for calculating reliability indices. Further more the improvement of reliability with introduction of Distributed Generation (DG) is presented. Reliability indices comprises of load point indices and system indices, which includes System Average Interruption Frequency Indices (SAIFI), System Average Interruption Duration Indices (SAIDI), Customer Average Interruption Frequency Indices (CAIFI), Customer Average Interruption Duration Indices (CAIDI), Energy Not Supplied (ENS), Average Energy Not Supplied (AENS), etc. These indices show the performances of reliability of the system.