A Two-Stage Stochastic Programming Model for the Optimal Operation Strategy of Energy Hub Including Energy Storages and Wind Power in Grid-Connected and Standalone Mode

Mahdi Dolatabadi, Mohammad Jadidbonab, Amirhossein Dolatabadi, Behnam Mohammadi-Ivatloo, Mahmood Shafiee, Amjad Anvari-Moghaddam

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Intermittence and variability of renewable resources have substantial impacts on the scheduling of energy systems. Multi carrier energy sestem concept suggests undeniable benefits to energy systems by providing the flexibility to tackle with the uncertain nature of renewable energy resources. Toward this goal, this paper aims to investigate the advantages of deploying energy storage systems in a wind integrated multi carrier energy system for investigating renewable penetration and decreasing cost operation. A linear two-stage probabilistic methodology is imploied to cover the stochastic nature of renewable and energy loads. An effective SCENRED methodology is implemented to decrease the size of the mathematical model. Finally, the results obtained from the case studies show the effectiveness of the presented system.
Original languageEnglish
Title of host publication10th International Conference on Power Electronics, Machines and Drives (PEMD 2020)
PublisherIEEE Press
Publication statusE-pub ahead of print - 2020

Keywords

  • Wind Power Generation
  • Energy hub
  • Energy Storage
  • Stochastic Programming

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    Dolatabadi, M., Jadidbonab, M., Dolatabadi, A., Mohammadi-Ivatloo, B., Shafiee, M., & Anvari-Moghaddam, A. (2020). A Two-Stage Stochastic Programming Model for the Optimal Operation Strategy of Energy Hub Including Energy Storages and Wind Power in Grid-Connected and Standalone Mode. In 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020) IEEE Press.