A Probabilistic Modeling of Photo Voltaic Modules and Wind Power Generation Impact on Distribution Networks


The rapid growth in use of renewable intermittent energy resources, like wind turbines (WTs) and solar panels, in distribution networks has increased the need for having an accurate and efficient method of handling the uncertainties associated with these technologies. In this paper, the unsymmetrical two point estimate method (US2PEM) is used to handle the uncertainties of renewable energy resources. The uncertainty of intermittent generation of WT, photo voltaic cells, and also electric loads, as input variables, are taken into account. The variation of active losses and imported power from the main grid are defined as output variables. The US2PEM is compared to symmetrical two point estimate method, Gram–Charlier method, and Latin hypercube sampling method, where Monte Carlo simulation is used as a basis for comparison. The validity of the proposed method is examined by applying it on a standard radial 9-node distribution network and a realistic 574-node distribution network.

Did you like this research project?

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

PROJECT TITLE :Accurate Location Tracking From CSI-Based Passive Device-Free Probabilistic Fingerprinting - 2018ABSTRACT:The research on indoor localization has received great interest in recent times. This has been fueled by
PROJECT TITLE :A Probabilistic Framework for Structural Analysis and Community Detection in Directed Networks - 2018ABSTRACT:There's growing interest in structural analysis of directed networks. Two major points that require
PROJECT TITLE :Probabilistic Optimization of Resource Distribution and Encryption for Data Storage in the Cloud - 2018ABSTRACT:During this Project, we tend to develop a decentralized probabilistic technique for performance optimization
PROJECT TITLE :Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data - 2018ABSTRACT:Road traffic speed prediction could be a difficult downside in intelligent transportation system (ITS) and has gained
PROJECT TITLE :Probabilistic Error Modeling for Approximate Adders - 2017ABSTRACT:Approximate adders are widely being advocated as a means to attain performance gain in error resilient applications. In this paper, a generic methodology

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

Project Enquiry