PROJECT TITLE :

Distributed Optimal Tie-Line Power Flow Control for Multiple Interconnected AC Microgrids

ABSTRACT:

Microgrids (MGs) are often maintained by separate operators in a multi-microgrid system (MMG). These MG operators have done substantial research into distributed energy trading/scheduling technologies. Under persistent load variation and operational stability, it is rarely stated how to coordinate these MGs to implement the acquired optimal schedule in real time while maintaining operational stability. In order to achieve this goal, a distributed multi-agent based distributed optimal tie-line power flow control technique is developed, which is supported by an overlapping regional Communication network and distributed sensors monitoring the tie-line power flows. As long as the MMG is running in grid-connected mode, the proposed approach can maintain scheduled tie-line power flows among the MGs by modifying real-time power outputs accordingly. When the MMG lands, a local frequency feedback mechanism can be used to aid in frequency recovery. Analytically, the proposed method is shown toconverge. Simulated results from an IEEE 34-bus test feeder system show that the suggested approach is effective and efficient in grid-connected as well as islanded modes.


Did you like this research project?

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


PROJECT TITLE : Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction ABSTRACT: We propose a novel statistical approach, which we call Statistically Discriminative Sub-trajectory Mining
PROJECT TITLE : Fast Multi-Criteria Service Selection for Multi-User Composite Applications ABSTRACT: Paradigms such as Software as a Service (SaaS) and Service-Based Systems (SBSs), which are becoming more prevalent as cloud
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
PROJECT TITLE : Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images Techniques and Clinical Applications ABSTRACT: Multiple sclerosis (MS) is a chronic inflammatory and degenerative disease of the central nervous
PROJECT TITLE : Semisupervised Multiple Choice Learning for Ensemble Classification ABSTRACT: Due to the fact that it is so effective at enhancing the predictive performance of classification models, ensemble learning has a wide

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

Project Enquiry