PROJECT TITLE :

Analysis and Enhanced Control of Hybrid-MMC-based HVDC Systems during Asymmetrical DC Voltage Faults - 2017

ABSTRACT:

This paper presents an enhanced control for HVDC systems using hybrid modular multilevel converters (MMCs) during asymmetrical dc voltage faults. The characteristics of pole-to-ground (PTG) fault beneath totally different system grounding schemes are analyzed. Then, the principle of enhanced control strategy to house the PTG fault is presented for a hybrid-MMC-primarily based HVDC system with symmetrical monopolar configuration. A brand new management variable is proposed on the arm voltages to distribute the facility transmitted from the ac side between the higher and lower arms. By adopting the enhanced management, the overvoltage and therefore the fault current will be eliminated when a PTG fault occurs. Furthermore, the hybrid-MMC-based HVDC system can operate continuously with adjustable active power and controllable reactive power by controlling the upper and lower arms of the converter asymmetrically throughout a fault amount. Finally, the feasibility of the proposed management theme is verified by simulation leads to PSCAD/EMTDC.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks ABSTRACT: Two promising strategies for supporting massive content delivery over wireless networks while mitigating the effects
PROJECT TITLE : Measurement Errors in Range-Based Localization Algorithms for UAVs: Analysis and Experimentation ABSTRACT: The ability to precisely locate ground devices (GDs) is essential for a wide range of different applications,
PROJECT TITLE : Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition ABSTRACT: It has been demonstrated that using a convolutional neural network, also known as CNN, is an efficient method
PROJECT TITLE : Traffic Anomaly Detection in Wireless Sensor Networks Based on Principal Component Analysis and Deep Convolution Neural Network ABSTRACT: Because of the proliferation of wireless networks, wireless sensor networks
PROJECT TITLE : STAR-RIS Integrated Nonorthogonal Multiple Access and Over-the-Air Federated Learning Framework, Analysis, and Optimization ABSTRACT: In this paper, nonorthogonal multiple access (NOMA) and over-the-air federated

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry