Decentralized Robust Energy Management of Multi-area Integrated Electricity-gas Systems

This paper proposes a fast and decentralized solution methodology for the robust operation of multi-area integrated electricity-gas systems (M-IEGSs). A deterministic reformulation is obtained for the two-stage robust model by applying the linear decision rule based electrical reserve utilization sc...

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Autores principales:	Nan Jia, Cheng Wang, Wei Wei, Tianshu Bi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Convex optimization decentralized robust optimization energy management linear approximation integrated electricity-gas system Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/7d6a77e793a946f2ad0f83d1ea7b601b
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spelling	oai:doaj.org-article:7d6a77e793a946f2ad0f83d1ea7b601b2021-11-27T00:00:47ZDecentralized Robust Energy Management of Multi-area Integrated Electricity-gas Systems2196-542010.35833/MPCE.2020.000112https://doaj.org/article/7d6a77e793a946f2ad0f83d1ea7b601b2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9356478/https://doaj.org/toc/2196-5420This paper proposes a fast and decentralized solution methodology for the robust operation of multi-area integrated electricity-gas systems (M-IEGSs). A deterministic reformulation is obtained for the two-stage robust model by applying the linear decision rule based electrical reserve utilization scheme as well as regulating the distributed gas storages. Two linear approximations are developed for the nonconvex Wey-mouth equation in the gas network to determine the gas flow directions. The penalty convex-concave procedure (P-CCP) is then adopted to refine a feasible local optimum for the nonconvex model with an acceleration strategy. The decentralized deci-sion-making is enabled by the alternating direction multipliers method (ADMM). The convergence as well as computation performance of the overall solution procedure can be guaranteed as only convex optimizations are solved. Simulation results <sup>va</sup>lidate the effectiveness of the proposed methods as well as the benefits of the proposed convex programing based solution procedure.Nan JiaCheng WangWei WeiTianshu BiIEEEarticleConvex optimizationdecentralized robust optimizationenergy managementlinear approximationintegrated electricity-gas systemProduction of electric energy or power. Powerplants. Central stationsTK1001-1841Renewable energy sourcesTJ807-830ENJournal of Modern Power Systems and Clean Energy, Vol 9, Iss 6, Pp 1478-1489 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Convex optimization decentralized robust optimization energy management linear approximation integrated electricity-gas system Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
spellingShingle	Convex optimization decentralized robust optimization energy management linear approximation integrated electricity-gas system Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830 Nan Jia Cheng Wang Wei Wei Tianshu Bi Decentralized Robust Energy Management of Multi-area Integrated Electricity-gas Systems
description	This paper proposes a fast and decentralized solution methodology for the robust operation of multi-area integrated electricity-gas systems (M-IEGSs). A deterministic reformulation is obtained for the two-stage robust model by applying the linear decision rule based electrical reserve utilization scheme as well as regulating the distributed gas storages. Two linear approximations are developed for the nonconvex Wey-mouth equation in the gas network to determine the gas flow directions. The penalty convex-concave procedure (P-CCP) is then adopted to refine a feasible local optimum for the nonconvex model with an acceleration strategy. The decentralized deci-sion-making is enabled by the alternating direction multipliers method (ADMM). The convergence as well as computation performance of the overall solution procedure can be guaranteed as only convex optimizations are solved. Simulation results <sup>va</sup>lidate the effectiveness of the proposed methods as well as the benefits of the proposed convex programing based solution procedure.
format	article
author	Nan Jia Cheng Wang Wei Wei Tianshu Bi
author_facet	Nan Jia Cheng Wang Wei Wei Tianshu Bi
author_sort	Nan Jia
title	Decentralized Robust Energy Management of Multi-area Integrated Electricity-gas Systems
title_short	Decentralized Robust Energy Management of Multi-area Integrated Electricity-gas Systems
title_full	Decentralized Robust Energy Management of Multi-area Integrated Electricity-gas Systems
title_fullStr	Decentralized Robust Energy Management of Multi-area Integrated Electricity-gas Systems
title_full_unstemmed	Decentralized Robust Energy Management of Multi-area Integrated Electricity-gas Systems
title_sort	decentralized robust energy management of multi-area integrated electricity-gas systems
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/7d6a77e793a946f2ad0f83d1ea7b601b
work_keys_str_mv	AT nanjia decentralizedrobustenergymanagementofmultiareaintegratedelectricitygassystems AT chengwang decentralizedrobustenergymanagementofmultiareaintegratedelectricitygassystems AT weiwei decentralizedrobustenergymanagementofmultiareaintegratedelectricitygassystems AT tianshubi decentralizedrobustenergymanagementofmultiareaintegratedelectricitygassystems
_version_	1718409238652387328

Decentralized Robust Energy Management of Multi-area Integrated Electricity-gas Systems

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