International Scientific Publications
© 2021 Science Events Ltd
Terms of Use  ·  Privacy Policy
Choose language English French Russian Bulgarian
Conference room
Materials, Methods & Technologies 2021, 23rd International Conference
19-22 August, Burgas, Bulgaria
Call for Papers

Materials, Methods & Technologies, Volume 9, 2015

Ahmet Afşin Kulaksız
Pages: 20-27
Published: 29 May 2015
Views: 2,137
Downloads: 635
Abstract: This paper presents genetic algorithm (GA) based optimization of energy management for grid connected photovoltaic (PV) systems without battery storage. The major objective of this work is to minimize energy cost by maximizing objective function of GA considering both energy consumption and generation. In objective function calculation, PV module output power obtained by model of PV modules and previous power recordings from the PV system were employed. In the system, some electrical appliances and lights are in the energy consumption side and photovoltaic energy source connected to the grid is in the energy generation side. A simulation study was implemented to obtain energy cost savings using GA optimization in a commercial building. Due to the cost of the batteries, PV system is implemented without battery storage. Therefore, by adapting fluctuating PV energy generation with the time-flexible loads, an effort was aimed to develop a smart-grid strategy.
Keywords: energy management, pv system, genetic algorithms, optimization, load scheduling
Cite this article: Ahmet Afşin Kulaksız. GA-BASED ENERGY MANAGEMENT OPTIMIZATION FOR GRID-CONNECTED PHOTOVOLTAIC SYSTEM WITHOUT BATTERY STORAGE. Journal of International Scientific Publications: Materials, Methods & Technologies 9, 20-27 (2015).
Download full text

Back to the contents of the volume
By using this site you agree to our Privacy Policy and Terms of Use. We use cookies, including for analytics, personalisation, and ads.