Stochastic Assessment of Voltage Unbalance Mitigation by Battery System in case of Single-Phase Solar Generation

Thumbnail Image

Files

master_Püvi_Verner_2018.pdf (1.99 MB)

URL

Journal Title

Journal ISSN

Volume Title

Sähkötekniikan korkeakoulu | Master's thesis
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.

Authors

Date

2018-02-12

Department

Major/Subject

Electrical Systems

Mcode

S3015

Degree programme

AEE - Master’s Programme in Automation and Electrical Engineering (TS2013)

Language

en

Pages

45+7

Series

Abstract

The political decisions and environmental problems apply a pressure on the research to utilize environmentally friendly energy sources and bring them to masses. However, the vast spread of renewable energy generation, such as solar power, adds an additional strain to electric power grid and damage the quality of the supplied electrical energy. In this thesis, stochastic assessment of the voltage unbalance mitigation by home battery system in low voltage grid with single-phase solar generation is analysed. The stochastic voltage unbalance assessment method based on Monte Carlo Simulation technique was utilised for two algorithms: time independent and time dependent. Both models were presented and results of each were compared. Three different battery phase connection strategies were modelled and voltage unbalance mitigation efficacy of each was evaluated. Three low voltage distribution grids are considered - rural, intermediate and urban - each grid representing different regions in Finland. The voltage unbalance at different solar and battery penetration levels was assessed and the most efficient battery connection strategy was revealed. Lastly, various aspects of the topic were discussed in the end.

Description

Supervisor

Lehtonen, Matti

Thesis advisor

Lehtonen, Matti

Keywords

voltage unbalance, photovoltaics, battery energy storage system, stochastic assessment, Monte Carlo simulation

Other note

Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-201802231617

Collections

[dipl] Sähkötekniikan korkeakoulu / ELEC