Active Distribution Network Operation Incorporating Distributed Generations and Compressed Air Energy Storage

Jabbari Ghadi, Mojtaba

Active Distribution Network Operation Incorporating Distributed Generations and Compressed Air Energy Storage

Jabbari Ghadi, Mojtaba

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Publication Type:: Thesis
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Jabbari Ghadi, Mojtaba
dc.date.accessioned	2021-11-02T04:52:35Z
dc.date.available	2021-11-02T04:52:35Z
dc.date.issued	2020
dc.identifier.uri	http://hdl.handle.net/10453/151306
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	Restructuring of power systems, along with the integration of renewable energy resources in electricity networks, have transformed traditional power distribution networks (DNs) into new active distribution systems (ADSs). The second chapter aims to present a review of recent advancements in the development of ADSs. This chapter presents a comprehensive review of recent advancements in the operation of ADSs. After some literature about the market participation of distribution system operator (DSO), distribution companies (DISCOs), and aggregated agents from economic perspectives, the impacts of energy storage systems (specifically, compressed air energy storage (CAES) and electric vehicle charging station (EVCS)) at the distribution level have been investigated. The third chapter presents the participation of an ADS equipped with a small-scale CAES (SCAES) in the day-ahead (DA) wholesale market. The electrical/thermal conversion rate has been modeled for the SCAES operation. Moreover, the operation strategy of the SCAES is optimally coordinated with an electrical vehicle charging station (EVCS) as an alternative ES technology in deregulated DNs. To make EVCS simulation more realistic, the Gaussian Copula probability distribution function is used to model the behavior of the EVCS. Chapter four proposes the application of SCAESs as a new potential ES technology in the daily operation of an ADS, to join the DSO for the participation in a day-ahead wholesale market. A two-agent modeling approach is formulated. The first agent is responsible for aggregating SCAES units and profit maximization of the aggregator based on the distribution local marginal price. The DSO, as the second agent, receives day-ahead scheduling from the independent SCAES aggregator and is responsible for the secure operation of the ADS utilizing solar and dispatchable distributed generations as well as purchasing power from the day-ahead wholesale market. Chapter five proposes a novel concept of mobile CAES in an electric DN to improve grid operation. The proposed configuration models transportable air storage tanks carrying stored energy among the locations motor-generators placed on some distribution nodes/buses. Employing several storage tanks, a higher dispatchability and storage capacity are obtained. To solve the obtained CAES operation problem, a new heuristic mathematical method is proposed to convert constraints of the mobile CAES (MCAES) model into feasible search spaces, which significantly improves the convergence quality and speed. Operating results for both stationary and mobile CAESs cases are presented and compared. Finally, the last chapter presents a summary of research done in this thesis along with future research plan.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/151306/2/02whole.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	au.edu.uts.lib/ppc
dc.title	Active Distribution Network Operation Incorporating Distributed Generations and Compressed Air Energy Storage	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Restructuring of power systems, along with the integration of renewable energy resources in electricity networks, have transformed traditional power distribution networks (DNs) into new active distribution systems (ADSs). The second chapter aims to present a review of recent advancements in the development of ADSs. This chapter presents a comprehensive review of recent advancements in the operation of ADSs. After some literature about the market participation of distribution system operator (DSO), distribution companies (DISCOs), and aggregated agents from economic perspectives, the impacts of energy storage systems (specifically, compressed air energy storage (CAES) and electric vehicle charging station (EVCS)) at the distribution level have been investigated. The third chapter presents the participation of an ADS equipped with a small-scale CAES (SCAES) in the day-ahead (DA) wholesale market. The electrical/thermal conversion rate has been modeled for the SCAES operation. Moreover, the operation strategy of the SCAES is optimally coordinated with an electrical vehicle charging station (EVCS) as an alternative ES technology in deregulated DNs. To make EVCS simulation more realistic, the Gaussian Copula probability distribution function is used to model the behavior of the EVCS. Chapter four proposes the application of SCAESs as a new potential ES technology in the daily operation of an ADS, to join the DSO for the participation in a day-ahead wholesale market. A two-agent modeling approach is formulated. The first agent is responsible for aggregating SCAES units and profit maximization of the aggregator based on the distribution local marginal price. The DSO, as the second agent, receives day-ahead scheduling from the independent SCAES aggregator and is responsible for the secure operation of the ADS utilizing solar and dispatchable distributed generations as well as purchasing power from the day-ahead wholesale market. Chapter five proposes a novel concept of mobile CAES in an electric DN to improve grid operation. The proposed configuration models transportable air storage tanks carrying stored energy among the locations motor-generators placed on some distribution nodes/buses. Employing several storage tanks, a higher dispatchability and storage capacity are obtained. To solve the obtained CAES operation problem, a new heuristic mathematical method is proposed to convert constraints of the mobile CAES (MCAES) model into feasible search spaces, which significantly improves the convergence quality and speed. Operating results for both stationary and mobile CAESs cases are presented and compared. Finally, the last chapter presents a summary of research done in this thesis along with future research plan.

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