Study of a Hybrid Photovoltaic-Wind Smart Microgrid using Data Science Approach

In this paper, a smart microgrid implemented in Paracas, Ica, Peru, composed of 6kWp PV + 6kW Wind and that provides electricity to a rural community of 40 families, was studied using a data science approach. Real data of solar irradiance, wind speed, energy demand, and voltage of the battery bank from 2 periods of operation were studied to find patterns, seasonality, and existing correlations between the analyzed data. Among the main results are the periodicity of renewable resources and demand, the weekly behavior of electricity demand and how it has progressively increased from an average of 0.7kW in 2019 to 1.2kW in 2021, and how power outages are repeated at certain hours in the morning when resources are low or there is a failure in the battery bank. These analyzed data will be used to improve sizing techniques and provide recommendations for energy management to optimize the performance of smart microgrids.


Battery and Hydrogen Energy Storage Control in a Smart Energy Network with Flexible Energy Demand using Deep Reinforcement Learning

Smart energy networks provide for an effective means to accommodate high...

Operating Envelopes under Probabilistic Electricity Demand and Solar Generation Forecasts

The increasing penetration of distributed energy resources in low-voltag...

Modelling the Daily Electricity Demand of Electric Vessels in Plymouth

The international Maritime Organization (IMO) has set the target of redu...

Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets

Global power systems are increasingly reliant on wind energy as a mitiga...

Decarbonizing Indian Electricity Grid

India, being one of the fastest growing economies of the world, must tak...

Next generation particle precipitation: Mesoscale prediction through machine learning (a case study and framework for progress)

We advance the modeling capability of electron particle precipitation fr...

Demand Response For Residential Uses: A Data Analytics Approach

In the Smart Grid environment, the advent of intelligent measuring devic...

Please sign up or login with your details

Forgot password? Click here to reset