• Battery
• Diesel Generator
• Enel
• Forecast
• Hybrid System
• isolated micro-grids
• Modeling
• Optimization
• Ventotene

This thesis work involved the simulation and optimization of a hybrid power generation system for the isolated micro-grid installed in Ventotene, a small island located in the Tyrrhenian Sea at a latitude corresponding to Lazio-Campania boundary.
The original power plant, that was made up of four diesel engines, has been updated by installing a lithium ion battery to improve the grid control (frequency and power control).
The main goal of the work was the development of an algorithm implemented in Matlab® code, capable of managing in an optimized way the new Ventotene hybrid generation power plant, reducing the cost of generation and the emissions of the diesels.
Using a large sample of data, it was possible to carry out detailed tests and simulations necessary for the code development and validation.
For the development of the algorithm, the following activities were carried out:
Creation of a preliminary Matlab® code for the management and statistical analysis of the large amount of data available (100000 registered samples of the net power load required from the grid, 3 years’ recordings, approximately 1000 days).
System components modelling on the basis of experimental data: diesel generators specific consumption and battery round-trip efficiency (deep and shallow cycle).
Development of a “day after load” forecast model, which, from the load recorded during the current day, provides a forecast of the net Load required from the island for the next day.
Development of the optimization algorithm, that manages in an optimized way the hybrid system in order to generate the expected net Load calculated with the previous “forecast model”.
Conduction of tests on the entire management system (forecast plus optimization) in order to verify the efficiency and reliability of the developed code.