<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>O1-Improvement-of-Flexibility-Sources-Models on FLEXsys</title><link>https://flexsys.fesb.unist.hr/hr/publications/expertises/o1-improvement-of-flexibility-sources-models/</link><description>Recent content in O1-Improvement-of-Flexibility-Sources-Models on FLEXsys</description><generator>Hugo</generator><language>hr</language><lastBuildDate>Sun, 10 May 2026 14:23:39 +0000</lastBuildDate><atom:link href="https://flexsys.fesb.unist.hr/hr/publications/expertises/o1-improvement-of-flexibility-sources-models/index.xml" rel="self" type="application/rss+xml"/><item><title>Single-Site–Driven Synthesis of High-Frequency PV Power for Dispersed Portfolios</title><link>https://flexsys.fesb.unist.hr/hr/publications/single-sitedriven-synthesis-of-high-frequency-pv-power-for-dispersed-portfolios/</link><pubDate>Sun, 10 May 2026 14:23:39 +0000</pubDate><guid>https://flexsys.fesb.unist.hr/hr/publications/single-sitedriven-synthesis-of-high-frequency-pv-power-for-dispersed-portfolios/</guid><description>&lt;p&gt;Minute-level photovoltaic (PV) power output time series are increasingly required for power-system operation studies such as regulation, ramping, and reserve sizing. Yet high-frequency irradiance (or PV) measurements are typically available at only
a small number of locations, while the operational need is to represent PV variability over a dispersed flet or a balancing area. This paper presents a single-site–driven framework that converts one high-frequency irradiance record into realistic PV power traces for dispersed PV portfolios by combining (i) a physically
motivated PV power conversion model and (ii) an aggregation filter that reproduces the reduction of short-term variability with geographic diversity&lt;/p&gt;</description></item><item><title>Techno-Economic Optimization of PV-Wind-Battery Microgrids for EV Charging Under Price Volatility</title><link>https://flexsys.fesb.unist.hr/hr/publications/techno-economic-optimization-of-pv-wind-battery-microgrids-for-ev-charging-under-price-volatility/</link><pubDate>Sun, 10 May 2026 14:23:39 +0000</pubDate><guid>https://flexsys.fesb.unist.hr/hr/publications/techno-economic-optimization-of-pv-wind-battery-microgrids-for-ev-charging-under-price-volatility/</guid><description>&lt;p&gt;Large-scale transport electrification requires economically viable EV charging infrastructure with limited impact on distribution networks, especially under electricity price volatility. This paper presents a techno-economic planning and operation model for a grid-connected EV-charging microgrid integrating photovoltaic and wind generation together with battery energy storage. The proposed techno-economic model is formulated as a linear program that co-optimizes component capacities and hourly dispatch over a multi-year horizon by minimizing the levelized cost of energy (LCOE) while considering technical constraints related to power balance and energy component operation limitations. The case study considers two scenarios related to EV charging power supply: base scenario and renewable-only EV charging scenario to quantify the trade-off between costs and sustainability.&lt;/p&gt;</description></item></channel></rss>