Energy management for a grid-tied photovoltaic-wind-storage system - Part II: Operation strategy

Ala A. Hussein, Issa Batarseh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Renewable energy has unique characteristics such as it is sustainable, clean and free. However, renewable generation systems have two major limitations: they are strongly dependent on the weather conditions; and they have unsynchronized generation peaks with the demand peaks, in general. In a series of two papers, an energy management strategy for a distributed photovoltaic (PV)-wind-storage system is proposed. This second paper proposes a strategy to control the operation of the energy storage to overcome the limitations of renewable sources and forecasting models uncertainty. The proposed operation strategy is advantageous in terms of it allows a highly efficient and profitable operation of the system especially in an electricity spot market. Simulation results that shows the effectiveness of the proposed control strategy are provided.

Original languageEnglish
Title of host publication2013 IEEE Power and Energy Society General Meeting, PES 2013
DOIs
Publication statusPublished - 2013
Event2013 IEEE Power and Energy Society General Meeting, PES 2013 - Vancouver, BC, Canada
Duration: Jul 21 2013Jul 25 2013

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Other

Other2013 IEEE Power and Energy Society General Meeting, PES 2013
Country/TerritoryCanada
CityVancouver, BC
Period7/21/137/25/13

Keywords

  • Artificial neural networks (ANNs)
  • distributed generation (DG)
  • energy storage system (ESS)
  • load forecasting model
  • photovoltaic (PV)
  • solar radiation forecasting model

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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