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
This paper proposes a design of artificial intelligence (AI) based active and reactive power controller in rotor side converter (RSC) and voltage controller in Grid side converter (GSC) to improve the performance of vector controlled wind turbine driven especially during symmetrical fault conditions. The design and training parameters of the two types of AI based controllers are presented along with the aid of hysteresis current controlled (HCC) PWM technique. The design methodology provided in this system controls the d and q axis rotor currents in stator flux oriented reference frame to control the stator reactive and active power. The conventional PI controllers were then replaced by ANN and ANFIS controllers successively and the performance were observed and compared. It has been observed that the controllers efficiently reduces the transients in rotor currents, generated active power and generator speed and maintains stability by providing reactive power requirement to the grid during fault without using any external hardware device. The use of intelligent controllers reduces complex calculation and ensures smooth operation of DFIG during dynamic conditions. The entire model is simulated in MATLAB/Simulink environment.
Power quality is an extensive term to describe the effectiveness and its performances. The main task of power system is to provide their customer a continuity power supply forever, because the whole power system is a big network which includes different types of loads. At the instant of common coupling, connected sensitive loads in which voltage distortion in supply side or load side is highly repellent. Voltage dip is the most frequently arising power quality issue mainly occuring in distribution system due to faults, connecting nonlinear loads, since it is a main disturbance for domestic and industrial equipment. In this paper to diminish the voltage drop, fuzzy logic controller based dynamic voltage restorer is used in three-phase parallel distribution system. The Fuzzy logic controller is used to manage the DVR output. The performance evolution and result is simulated using MATLAB/SIMULINK. The Fuzzy control rule is optimized using Gaussian membership function by applying if-then rule.
This paper presents the use of Unified Power Flow Controller (UPFC) for mitigation of voltage sag and swell in power system. The power quality issues such as voltage fluctuations, power frequency variations, harmonics, voltage sag and swell, noise, etc., causes low power issue, low potency, enlarged losses in transmission and distribution lines, failure of electrical equipment and interference weakness with communication system. It is important to mitigate these reactive current parts and harmonic, which is done by Active Power filters. Also, voltage in all buses may not be same due to changes in load. To resolve the above issues UPFC device is used in this work. UPFC is one of the types of FACTS devices which are very useful in voltage compensation. UPFC is a three-phase device, with a combination of series and shunt active power filter with common DC link. It is employed to eliminate voltage swell and sag compensation in power system, current harmonics, compensate reactive power etc. In this paper, MATLAB (SIMULINK) based UPFC simulation model is developed and analyzed for voltage swell and sag compensation in distribution system.
It is difficult to load long extra-high voltage (EHV) AC lines to their thermal limits as a sufficient margin is kept against transient instability. In the model proposed in this the paper, it will be feasible to load these lines near to their thermal permissible limits. This paper gives us the feasibility of converting a double circuit AC line into composite AC–DC power transmission line, without constructing a separate DC line, to get the advantages of parallel AC–DC transmission for improving stability and loadability of a transmission line. There is no need for the alteration of conductors, insulator strings, and towers. An analytical model is established for the loadability and transient stability analysis of the simultaneous ACDC transmission system. The validation of these models is carried out by comparing the results obtained from the application of the models with already published results. Simulation has been carried out in MATLAB software package. Both loadability and stability models are also applied to a realistic system. The benefits of the simultaneous AC-DC system are evaluated and the results are critically discussed.
Present day power system is moving towards Smart Grid for more reliable, secure and economic operation. Data mining is the process of turning raw data into some useful information. Data mining is necessary as more number of PMU's added into the nations Power grid generates huge data which is necessary to take actionable insights. In this paper we are discussing state of art related to data mining techniques, present big data architecture and software languages and tools that facilitate data mining to power system.