A multi-slack Optimization Model for Scheduling Energy Hubs in Smart Grids

  • Iman Gerami Moghaddam Shahid Chamran University
  • Mohsen Saniei Shahid chamran university
  • Elahe Mashhour Shahid chamran university

Abstract

This paper provides a multi-slack optimization model in order to manage the operation of an energy hub in smart grids.This model is centralized on a multi-slack one in which the proposed slack variables are in line with actual energy providers.Both electrical and thermal loads are considered in this model. An external grid and boilers are respectively used for slackgeneration units for satisfying electrical and thermal loads. In order to reduce the penalty factors in the optimization model,we addressed fair and suitable slack variables in the optimization model. In a real power system, energy storage devicescould effect optimal operation in short-term planning. The main role of such devices in smart grids is to reduce the operatingcosts because of their state of charge (SOC) in peak, medium and base loads. Such devices could also handle load andgeneration uncertainties in the real world. In this model, we implement this feature to handle the uncertainties in the randomvariable generation sector of optimization algorithm. The proposed method could handle this challenge by discharging thestored energy if the slack unit is unable to satisfy the demanded load and vice versa. In order to evaluate the effectivenessof the proposed method, a benchmark is provided in this paper. The hourly electrical and thermal demands were extractedfrom DesignBuilder® for a commercial building. The simulation results show that the presented method is both satisfactoryand consistent with expectations.

Author Biographies

Mohsen Saniei, Shahid chamran university
Department of engineering
Elahe Mashhour, Shahid chamran university
Department of engineering

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Published
2016-07-20
How to Cite
GERAMI MOGHADDAM, Iman; SANIEI, Mohsen; MASHHOUR, Elahe. A multi-slack Optimization Model for Scheduling Energy Hubs in Smart Grids. Journal of Power Technologies, [S.l.], v. 98, n. 3, p. 287–295, july 2016. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/828>. Date accessed: 05 aug. 2021.
Section
Energy Conversion and Storage

Keywords

: Energy Hub;Combined heat and power; Multi-Slack Optimization Model; State of Charge

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