Ahmad Nikoobakht
Decentralized cooperation of natural gas and power systems with preserved privacy and decision-making independence
Nikoobakht, Ahmad; Aghaei, Jamshid; Mendes, Gonçalo Pinto; Vahidinasab, Vahid
Authors
Abstract
Modern power systems are likely to suffer from cascading contingencies, which pose multiple challenges to operators. In the event of such contingencies, power system operators must implement corrective actions, which could either be load curtailment or fast-ramping of generation assets, such as natural gas-fired units. Nevertheless, increased utilization of these units makes the power system vulnerable to gas pressure loss and interruption in the natural gas supply. Thus, it is essential to deliberate on the security constraints of natural gas networks in the operation of power systems. Nevertheless, the state-of-the-art energy flow models, applicable to both power and gas energy systems, are incapable of handling the complex relations between cascading contingencies and pipeline gas pressure loss. This study investigates an alternative approach that incorporates a novel AC power flow model and a dynamic gas flow model to treat these energy system interactions in an interoperable and simultaneous manner. Furthermore, electricity and natural gas system operators are independent of one another, which allows information privacy to be maintained. Using a hierarchical iterative algorithm covering both energy systems, the decentralized decision-making outlined in this paper ensures that only a very limited amount of information can be shared between the power system and the natural gas system operators, thus ensuring privacy. Finally, the numerical simulation is carried out on modified IEEE 30-bus electricity and 10-node gas systems and also on a larger test system of the IEEE 118-bus electricity and 10- node gas systems to demonstrate the efficiency of the proposed framework and the adopted decentralized approach.
| Journal Article Type | Article |
|---|---|
| Acceptance Date | Aug 8, 2022 |
| Online Publication Date | Aug 26, 2022 |
| Publication Date | 2022-10 |
| Deposit Date | Feb 19, 2025 |
| Journal | Renewable and Sustainable Energy Reviews |
| Print ISSN | 1364-0321 |
| Publisher | Elsevier |
| Peer Reviewed | Peer Reviewed |
| Volume | 168 |
| Article Number | 112855 |
| DOI | https://doi.org/10.1016/j.rser.2022.112855 |
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