Forecasting and Scheduling of a Photovoltaic/Battery Energy Storage System for Load Demand


ÖZTÜRK S., ÇADIRCI I.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.2093-2096 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2016.7496184
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.2093-2096

Abstract

Grid-connected photovoltaic systems are considered an attractive alternative source of energy production due to new developments in technology, increasing environmental pollution and excessive load density on transmission lines. Controlling the energy in a smart way, increasing the efficiency as well as revealing the concept of smart grid. Estimation of energy production, planning of household electrical appliances and applications to prevent overloading of transmission lines, plays an important role in the smart grid concept. Short-term load forecasting and management of the energy for large-scale systems such as national grids, provide great benefits. Implementation and estimation is more difficult for small-scale systems. In this paper, it is aimed to determine scheduling and energy estimation of a consumption center with photovoltaic-battery energy storage system.