Integrated energy hub system based on power‐to‐gas and compressed air energy storage technologies in the presence of multiple shiftable loads. Issue 13 (4th May 2020)

• Record Type: Journal Article
• Authors: Mirzaei, Mohammad Amin; Zare Oskouei, Morteza; Mohammadi‐Ivatloo, Behnam; Loni, Abdolah; Zare, Kazem; Marzband, Mousa; Shafiee, Mahmood
• Is Part Of: IET generation, transmission & distribution. Volume 14:Issue 13(2020)
• Page Start: 2510
• Page End: 2519
• Publication Date: 2020-05-04
• Subjects: pricing -- wind turbines -- demand side management -- power generation economics -- power markets -- compressed air energy storage -- boilers -- power generation scheduling -- stochastic processes -- cogeneration; natural gas networks -- stochastic model -- optimal day‐ahead scheduling -- P2G storage -- heat storage system -- wind turbine -- electricity market price -- power generation -- thermal demands -- demand response programme -- day‐ahead load shifting -- multiple electrical loads -- general algebraic modelling system software -- integrated energy hub system -- compressed air energy storage technologies -- multiple shiftable loads -- integrated energy carriers -- energy efficiency -- EHS operator -- electrical gas boiler -- power‐to‐gas networks -- tristate CAES -- conditional value‐at‐risk algorithm; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2019.1163
• Languages: English
• ISSNs: 1751-8687

Abstract

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%.