A Solution for Risk Management of a Distribution Company in the Retail Market

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  • Forough Taki1,
  • Ali Shishebori1,
  • Ramtin Sadeghi2,
  1. Member of Young Researchers Club, Majlesi Branch, Islamic Azad University, Iran
  2. Department of Electrical Engineering, Majlesi Branch, Islamic Azad University, Isfahan, Iran

Published in Issue 2024-02-25

How to Cite

Taki, F., Shishebori, A., & Sadeghi, R. (2024). A Solution for Risk Management of a Distribution Company in the Retail Market. Majlesi Journal of Electrical Engineering, 6(1). https://oiccpress.com/mjee/article/view/5197

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Abstract

In this paper, distributed generations for risk management of a distribution company (DisCo) in the competitive market environment are introduced. The proposed model for this problem considers a stochastic programming framework in the yearly horizon that is to maximize the expected profit considering the uncertainties of the retail market such as the end user demand and the electricity pool price. In this study, the key point is modeling the uncertainties of distributed generations as a reliable source for DisCos. Finally, the approach suggests the optimal resources for procuring the customers' load. Also a basic carbon market is modeled to support the role of renewable energies. 

Keywords

  • Cloud computing, DDoS attacks, Machine Learning, deep learning techniques, . ,
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