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Privacy-Preserving Mechanism for Collaborative Operation of High-Renewable Power Systems and Industrial Energy Hubs

Zare Oskouei, Morteza, Mohammadi-Ivatloo, Behnam, Abapour, Mehdi, Shafiee, Mahmood, Anvari-Moghaddam, Amjad (2020) Privacy-Preserving Mechanism for Collaborative Operation of High-Renewable Power Systems and Industrial Energy Hubs. Applied Energy, 283 . Article Number 116338. ISSN 0306-2619. (doi:10.1016/j.apenergy.2020.116338) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:85752)

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https://dx.doi.org/10.1016/j.apenergy.2020.116338

Abstract

Nowadays, achieving operational solutions to boost the flexibility of bulk power systems has become one of the major challenges in both industry and academia. The outcomes of recent studies demonstrate that the deployment of large-scale energy hubs can help enhance the flexibility of power systems. However, centralized management of networked energy hubs may not be compatible with the power system operator when they are managed by private owners. Motivated by this observation, a privacy-preserving decision-making structure is proposed in this paper for the collaborative operation of private industrial energy hubs and renewable power system by considering the high penetration of renewable energy sources. The proposed structure is drawn up based on the decentralized two-stage robust–stochastic approach and solved using the Benders decomposition algorithm by relying on the private ownership of various entities. The main objectives of this study lie in (1) decreasing renewable power curtailment and (2) minimizing the total operation costs of the private entities. To achieve these objectives, the effects of the multi-energy demand response program and energy conversion facilities are investigated in the context of the developed model. The competency and robustness of the proposed collaborative decision-making structure are examined on the IEEE 30-bus test system using GAMS and DIgSILENT PowerFactory software. Results show that if industrial energy hubs are successfully deployed in industrial parks, the total operation cost of the renewable power system decreases by up to 16.33%, renewable power curtailment reduces by 92.9%, and flexibility of the renewable power system enhances by increasing spinning reserve.

Item Type: Article
DOI/Identification number: 10.1016/j.apenergy.2020.116338
Uncontrolled keywords: Benders decomposition; Demand response programs; Energy storage systems; Energy hub systems; Privacy-preserving collaboration; Renewable power curtailment
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Mahmood Shafiee
Date Deposited: 29 Jan 2021 20:48 UTC
Last Modified: 16 Feb 2021 14:17 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/85752 (The current URI for this page, for reference purposes)
Shafiee, Mahmood: https://orcid.org/0000-0002-6122-5719
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