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September 10, 2025IET Renewable Power Generation0 citationsOpen Access

A Novel Uncertainty Management Method for Economic and Environmental Assessment of Gas‐Electricity Networks in the Presence of Flexible Resources

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ATAmir TalebiASAhmad Sadeghi‐Yazdankhah

Key Points

  • Simultaneous use of flexible resources and CCS significantly lowers both costs and emissions in gas-electricity networks.
  • The new tri-layer model tackles wind and electrical load uncertainties using stochastic and IGDT methods for optimization.
  • Integrating flexible resource solutions ensures better operational reliability and helps prevent load shedding in networks.
  • This hybrid approach optimizes both the objective function and uncertainty radius of the gas-electricity systems.

Abstract

ABSTRACT Due to the low emission production and the fast‐response nature of natural gas‐fired units (NGFUs), installation of these generators has increased in the electricity system, and as a result, the interdependency of gas and electricity systems has intensified. However, uncertainties have brought new challenges to the coordinated operation of the two systems. This paper proposes a new tri‐layer model to include uncertainties in the coordinated scheduling of gas‐electricity networks. In the first layer, wind uncertainty is handled through the stochastic method. In the second layer, the IGDT method is used to manage electrical load uncertainty, and in the third layer, the optimal values for the objective functions of the previous two layers are simultaneously derived by the fuzzy method. Also, three practical solutions (flexible resources) are provided to increase gas network flexibility: (1) using natural gas storage, (2) implementing a demand response program in the gas network and (3) using the generators with the ability to change their fuel (dual‐fuel generators). Also, carbon capture systems (CCS) are integrated with traditional units to decrease emissions of these generators. Numerical tests illustrate that the simultaneous use of flexible resources alongside CCS leads to more reduction in the total cost and emission, and prevents load shedding in the operation of gas‐electricity networks. As well, with this new hybrid fuzzy‐IGDT‐stochastic model, both the objective function and uncertainty radius are optimised.

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Cite This Study

Talebi et al. (2025) studied this question.

synapsesocial.com/papers/68c1b61454b1d3bfb60eb5c1https://doi.org/10.1049/rpg2.70113
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