My Account | Careers | Downloads | Blog

PROJECT TITLE :

Dynamic Control and Optimization of Distributed Energy Resources in a Microgrid

ABSTRACT:

As we tend to transition toward an influence grid that is increasingly primarily based on renewable resources like solar and wind, the intelligent control of distributed energy resources (DERs) together with photovoltaic (PV) arrays, controllable masses, energy storage, and plug-in electrical vehicles (EVs) can be crucial to realizing an influence grid that may handle each the variability and unpredictability of renewable energy sources along with increasing system complexity. Realizing such a decentralized and dynamic infrastructure will require the flexibility to resolve massive scale problems in real-time with hundreds of thousands of DERs simultaneously on-line. Because of the size of the optimization downside, we have a tendency to use an iterative distributed algorithm previously developed in our group to work each DER independently and autonomously among this environment. The algorithm is deployed inside a framework that permits the microgrid to dynamically adapt to changes within the operating setting. Specifically, we tend to consider a business web site equipped with on-website PV generation, partially curtailable load, EV charge stations and a battery electrical storage unit. The web site operates as a small microgrid that may participate in the wholesale market on the ability grid. We tend to report results for simulations using real-information that demonstrate the flexibility of the optimization framework to reply dynamically in real-time to external conditions while maintaining the practical needs of all DERs.


Did you like this research project?

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

PROJECT TITLE : Unsupervised Spectral Feature Selection with Dynamic Hyper-graph Learning ABSTRACT: In order to produce interpretable and discriminative results from unsupervised spectral feature selection (USFS) methods, an embedding
PROJECT TITLE : GloDyNE: Global Topology Preserving Dynamic Network Embedding ABSTRACT: Due to the time-evolving nature of many real-world networks, learning low-dimensional topological representations of networks in dynamic environments
PROJECT TITLE : Fully Dynamic kk-Center Clustering With Improved Memory Efficiency ABSTRACT: Any machine learning library worth its salt will include both static and dynamic clustering algorithms as core components. The sliding
PROJECT TITLE : Exploring Temporal Information for Dynamic Network Embedding ABSTRACT: The task of analyzing complex networks is a challenging one that is attracting an increasing amount of attention. One way to make the analysis
PROJECT TITLE : MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers ABSTRACT: Two of the most significant challenges for effective resource management in large-scale

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

Project Enquiry