A privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve

Abstract Proliferation of distributed energy resources (DERs) calls for a coordinated transmission and distribution (T&D) scheduling at the day‐ahead stage. The problem becomes more complicated dealing with the variability of stochastic parameters. Also, privacy and complexity are two barriers t...

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Autores principales:	Mahdi Habibi, Vahid Vahidinasab, Mohammad Sadegh Sepasian
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2022
Materias:	Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
Acceso en línea:	https://doaj.org/article/bed5db210df940178a5f021646dea065
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spelling	oai:doaj.org-article:bed5db210df940178a5f021646dea0652021-12-02T14:01:24ZA privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve1751-86951751-868710.1049/gtd2.12286https://doaj.org/article/bed5db210df940178a5f021646dea0652022-01-01T00:00:00Zhttps://doi.org/10.1049/gtd2.12286https://doaj.org/toc/1751-8687https://doaj.org/toc/1751-8695Abstract Proliferation of distributed energy resources (DERs) calls for a coordinated transmission and distribution (T&D) scheduling at the day‐ahead stage. The problem becomes more complicated dealing with the variability of stochastic parameters. Also, privacy and complexity are two barriers to the development of such coordinated platforms. This paper addresses these issues by introducing a hybrid centrally‐supported decentralized stochastic framework for the day‐ahead energy and reserve market with minimum complexity and the need for data‐sharing between system operators. The proposed model is able to calculate the bidirectional power exchange at the T&D interface and the separated costs, dispatches, and reserves of all market participants. The proposed model does not consider any priority for operators and increases the liquidity by facilitating participants’ access to the market platform. Also, the second‐order cone programming (SOCP) formulation is used for calculating the AC power flow of distribution grids, and the model is validated and compared with other implementation strategies. The proposed model is implemented on a modified IEEE 24‐bus test system, and results show that the model can schedule resources for supplying energy and reserves in both transmission and distribution levels in an acceptable computation time.Mahdi HabibiVahid VahidinasabMohammad Sadegh SepasianWileyarticleDistribution or transmission of electric powerTK3001-3521Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENIET Generation, Transmission & Distribution, Vol 16, Iss 1, Pp 163-180 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
spellingShingle	Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841 Mahdi Habibi Vahid Vahidinasab Mohammad Sadegh Sepasian A privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve
description	Abstract Proliferation of distributed energy resources (DERs) calls for a coordinated transmission and distribution (T&D) scheduling at the day‐ahead stage. The problem becomes more complicated dealing with the variability of stochastic parameters. Also, privacy and complexity are two barriers to the development of such coordinated platforms. This paper addresses these issues by introducing a hybrid centrally‐supported decentralized stochastic framework for the day‐ahead energy and reserve market with minimum complexity and the need for data‐sharing between system operators. The proposed model is able to calculate the bidirectional power exchange at the T&D interface and the separated costs, dispatches, and reserves of all market participants. The proposed model does not consider any priority for operators and increases the liquidity by facilitating participants’ access to the market platform. Also, the second‐order cone programming (SOCP) formulation is used for calculating the AC power flow of distribution grids, and the model is validated and compared with other implementation strategies. The proposed model is implemented on a modified IEEE 24‐bus test system, and results show that the model can schedule resources for supplying energy and reserves in both transmission and distribution levels in an acceptable computation time.
format	article
author	Mahdi Habibi Vahid Vahidinasab Mohammad Sadegh Sepasian
author_facet	Mahdi Habibi Vahid Vahidinasab Mohammad Sadegh Sepasian
author_sort	Mahdi Habibi
title	A privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve
title_short	A privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve
title_full	A privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve
title_fullStr	A privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve
title_full_unstemmed	A privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve
title_sort	privacy‐preserving approach to day‐ahead tso‐dso coordinated stochastic scheduling for energy and reserve
publisher	Wiley
publishDate	2022
url	https://doaj.org/article/bed5db210df940178a5f021646dea065
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A privacy‐preserving approach to day‐ahead TSO‐DSO coordinated stochastic scheduling for energy and reserve

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