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A master's thesis from Aalborg University
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Power and energy management of a residential hybrid photovoltaic-wind system with battery storage

Author

Term

4. term

Publication year

2017

Submitted on

Pages

76

Abstract

Efterhånden som elforbruget stiger, og flere vedvarende energikilder kobles på elnettet, kan batterilagringssystemer (BESS) i private hjem hjælpe med at sænke elregningen, begrænse spidsbelastninger og bedre matche produktion og forbrug. Dette studie udvikler en ydelsesmodel for et husbatteri kombineret med lokal produktion fra solceller (PV) og en vindmølle. Vi gennemfører 24-timers simuleringer med reelle målinger af solindstråling og vindhastighed fra både sommer og vinter. Batteriet styres med en enkel udjævningsfunktion baseret på et glidende gennemsnit, som guider opladning og afladning for at dæmpe hurtige udsving fra sol og vind. Simulationerne viser, at denne metode giver tilfredsstillende udjævning uden behov for et stort batteri; gode resultater opnås selv med et mindre batteri. Derudover beregner modellen en gennemsnitlig effektprofil hvert 15. minut til udveksling med elnettet med det formål at minimere elregningen.

As electricity use grows and more renewable energy is added to the grid, home battery energy storage systems (BESS) can help by cutting electricity costs, limiting peak demand, and better matching supply and demand. This study develops a performance model of a home battery combined with on-site renewable generation from photovoltaic (PV) panels and a wind turbine. We run 24-hour simulations using real solar irradiance and wind speed measurements from summer and winter. The battery is controlled by a simple smoothing function based on a moving average that guides charging and discharging to reduce rapid power swings from PV and wind. The simulations show that this moving-average approach delivers satisfactory smoothing without requiring a large battery; good results are achieved even with a smaller battery. In addition, the model computes an average power profile every 15 minutes for exchange with the utility grid, with the goal of minimizing the electricity bill.

[This abstract was generated with the help of AI]