Skip to main content

An Integrated Energy Hub System based on Power-to-Gas and Compressed Air Energy Storage Technologies in presence of Multiple Shiftable Loads

Mirzaei, Mohammed Amin, Zare Oskouei, Morteza, Mohammadi-Ivatloo, Behnam, Loni, Abdolah, Zare, Kazem, Marzband, Mousa, Shafiee, Mahmood (2020) An Integrated Energy Hub System based on Power-to-Gas and Compressed Air Energy Storage Technologies in presence of Multiple Shiftable Loads. IET Generation, Transmission & Distribution, 14 (13). pp. 2510-2519. ISSN 1751-8687. E-ISSN 1751-8695. (doi:10.1049/iet-gtd.2019.1163) (KAR id:81549)

PDF Author's Accepted Manuscript
Language: English
Download (1MB) Preview
[img]
Preview
Official URL
http://dx.doi.org/10.1049/iet-gtd.2019.1163

Abstract

Integrated energy carriers in the framework of energy hub system (EHS) have an undeniable role in reducing operating costs and increasing energy efficiency as well as the system's reliability. Nowadays, power-to-gas (P2G), as a novel technology, is a great choice to intensify the interdependency between electricity and natural gas networks. The proposed strategy of this study is divided into two parts: (i) a conditional value-at-risk-based stochastic model is presented to determine the optimal day-ahead scheduling of the EHS with the coordinated operating of P2G storage and tri-state compressed air energy storage (CAES) system. The main objective of the proposed strategy is to indicate the positive impact of P2G storage and tri-state CAES on lessening the system uncertainties including electricity market price, power generation of the wind turbine, and even electrical, gas, and thermal demands. (ii) A demand response program focusing on day-ahead load shifting is applied to the multiple electrical loads according to the load's activity schedule. The proposed strategy is successfully applied to an illustrative example and is solved by general algebraic modeling system software. The obtained results validate the proposed strategy by demonstrating the considerable diminution in the operating cost of the EHS by almost 4.5%.

Item Type: Article
DOI/Identification number: 10.1049/iet-gtd.2019.1163
Uncontrolled keywords: power generation scheduling; power markets; power generation economics; demand side management; cogeneration; boilers; wind turbines; compressed air energy storage; stochastic processes; pricing
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK1001 Production of electrical energy or power
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK3001 Distribution or transmission of electric power
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK4001 Applications of electrical power
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Mahmood Shafiee
Date Deposited: 06 Jun 2020 07:07 UTC
Last Modified: 08 Jun 2020 11:01 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/81549 (The current URI for this page, for reference purposes)
Shafiee, Mahmood: https://orcid.org/0000-0002-6122-5719
  • Depositors only (login required):

Downloads

Downloads per month over past year