An online energy management system for a grid-connected hybrid energy source

Mohamed S. Taha, Hussein Hassan Abdeltawab, Yasser Abdel Rady I. Mohamed

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

Abstract

An online energy management system (EMS) for a grid-connected hybrid energy source is proposed in this paper. The hybrid source combines renewable energy resources (wind and photovoltaic), battery storage, variable speed diesel generator, and load management system. The proposed EMS consists of two-level optimization algorithm: 1) the rolling optimization and 2) the feedback intrasample correction. The rolling optimization part is established to schedule operation based on the forecast data using the model-predictive control approach. The rolling dispatch scheduling is then adjusted based on an intrasample feedback correction that compensates for the prediction error of the forecast data. The optimization problem was formulated as mixed-integer linear programming framework with two objectives: 1) to minimize the total operating cost and 2) to minimize the pollutant gas emissions. The battery daily number of cycles and the minimum state of charge are considered as decision variables that are optimally determined by the EMS to minimize the total system operating cost while considering all the practical constraints of the different energy sources. Different case studies with different market profiles demonstrate the effectiveness of the proposed approach, and the results have showed a significant reduction in the total system cost.

Original languageEnglish (US)
Article number8344421
Pages (from-to)2015-2030
Number of pages16
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume6
Issue number4
DOIs
StatePublished - Dec 2018

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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