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Distributed Transactive Energy Management in Smart Grid.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Distributed Transactive Energy Management in Smart Grid./
作者:	Ullah, Md Habib.
面頁冊數:	1 online resource (195 pages)
附註:	Source: Dissertations Abstracts International, Volume: 83-07, Section: B.
Contained By:	Dissertations Abstracts International83-07B.
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28651425click for full text (PQDT)
ISBN:	9798759969785

Distributed Transactive Energy Management in Smart Grid.
Ullah, Md Habib.

Distributed Transactive Energy Management in Smart Grid. - 1 online resource (195 pages)

Source: Dissertations Abstracts International, Volume: 83-07, Section: B.

Thesis (Ph.D.)--University of Colorado at Denver, 2021.

Includes bibliographical references

Over the years, the global green energy initiatives have substantially increased the deployment of various behind-the-meter distributed energy resources (DERs), such as renewable energy generators, flexible loads, electric vehicles, small-scale energy generators, and energy storage systems in the modern power grids. This rapid integration of DERs has drastically increased the challenges for system operators in energy management systems (EMSs) to balance the load demand and generation in their networks. Typically, EMSs are centralized in a manner that raises privacy, computation and communication complexity, single point of failure, and scalability issues, where the systems' security, reliability, and resiliency may be compromised. In the given context, designing novel decentralized and/or distributed solutions are inevitable to improve the performance of the power grids. Besides, the practicality of the developed solutions should be justified through realistic implementation.From the economic standpoint, the benefits of the DER owners have been minimal in the conventional power markets, which may discourage the global green energy initiatives. To incentivize the DER owners in a greater extent, the concept of transactive energy (TE) has drawn attention in the smart grid communities that encourage the traditional electricity consumers to transform into prosumers (producer+consumer) with installed DERs. The prosumers can proactively participate in energy trading in the local energy market (LEM) utilizing economic transactive control schemes in the TE concept. The LEM cannot be easily implemented in real-time without an integrated platform that enables distributed and decentralized yet coordinated energy exchanges between the prosumers through private negotiations and assists the system operators in monitoring and controlling the power distribution networks.In TE-based LEM, peer-to-peer (P2P) energy trading is an emerging market-clearing approach that facilitates bilateral negotiations for energy transactions between neighbor prosumers with reasonable pricing. The basic concept of TE-based LEM is that the excess energy from the prosumers can be directly traded among local consumers through P2P negotiations, besides the utility grid. Thus, DERs can be operated more efficiently, and prosumers can achieve more economic benefits. However, it is critical to understand the social and trading behaviors of the prosumers in TE system operations. Also, it is crucial to consider various factors to when designing proper market-clearing mechanisms, such as dynamic energy pricing, physical network constraints, power losses, supply-to-demand ratio, distribution locational marginal price (DLMP), product differentiation, and network utilization cost.Therefore, this dissertation is focused on developing a distributed and cooperative TE management platform with dynamic energy pricing for efficient and privacy-preserving smart grid operation, ensuring the maximum economic benefits for DER owners.Firstly, a fully decentralized and computationally efficient TE management strategy is developed with an equal-incremental-cost-based cooperative transactive control scheme. It facilitates robustness with time-varying communication topologies, plug-and-play capability, and intelligent decision-making. Also, it provides flexibility to energy providers and consumers, who can determine their supply and consumption level based on their satisfaction. The designed method has low computation complexity and converges faster than the existing approaches, and it is effective for various communication networks, such as directed and undirected communication graphs. The feasibility of the developed method is justified through real-time implementation. Secondly, a novel P2P-transaction-capable energy management framework is developed for TE-based LEM that provides various market-clearing algorithms. Different distributed optimization approaches were utilized in this framework, such as alternating direction method of multipliers (ADMM), dual-decomposition, consensus-based, and game-theoretic approaches. The proposed framework includes: (1) a network-constrained bilateral energy pricing algorithm considering reputation-based product differentiation, electrical distance-based network utilization cost, and network power losses, which is highly scalable and computationally efficient than the recent P2P energy trading approaches; (2) a two-tier P2P energy trading approach to enhance the economic benefits of the prosumers that allow energy arbitrage in inter-and intra-area markets considering the power network constraints; and (3) a DLMP-integrated peer-to-peer-to-grid (P2P2G) energy trading algorithm for grid-interactive transactive energy systems (e.g., residential prosumers) using the ADMM and game-theoretic approaches. The results show that the introduced reputation index respects the trading willingness of prosumers without affecting their social welfare/profits. Moreover, the network utilization cost encourages the prosumers to exchange energy with closer prosumers, reducing network power losses; thus, it improves energy efficiency in the system. It is also shown that the prosumers can significantly enhance their monetary benefits by adopting the proposed framework. The convergence of the proposed algorithms is briefly analyzed, and their effectiveness is justified in various standardized IEEE distribution networks.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798759969785Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Smart gridsIndex Terms--Genre/Form:

542853
Electronic books.

Distributed Transactive Energy Management in Smart Grid.
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520 $a Over the years, the global green energy initiatives have substantially increased the deployment of various behind-the-meter distributed energy resources (DERs), such as renewable energy generators, flexible loads, electric vehicles, small-scale energy generators, and energy storage systems in the modern power grids. This rapid integration of DERs has drastically increased the challenges for system operators in energy management systems (EMSs) to balance the load demand and generation in their networks. Typically, EMSs are centralized in a manner that raises privacy, computation and communication complexity, single point of failure, and scalability issues, where the systems' security, reliability, and resiliency may be compromised. In the given context, designing novel decentralized and/or distributed solutions are inevitable to improve the performance of the power grids. Besides, the practicality of the developed solutions should be justified through realistic implementation.From the economic standpoint, the benefits of the DER owners have been minimal in the conventional power markets, which may discourage the global green energy initiatives. To incentivize the DER owners in a greater extent, the concept of transactive energy (TE) has drawn attention in the smart grid communities that encourage the traditional electricity consumers to transform into prosumers (producer+consumer) with installed DERs. The prosumers can proactively participate in energy trading in the local energy market (LEM) utilizing economic transactive control schemes in the TE concept. The LEM cannot be easily implemented in real-time without an integrated platform that enables distributed and decentralized yet coordinated energy exchanges between the prosumers through private negotiations and assists the system operators in monitoring and controlling the power distribution networks.In TE-based LEM, peer-to-peer (P2P) energy trading is an emerging market-clearing approach that facilitates bilateral negotiations for energy transactions between neighbor prosumers with reasonable pricing. The basic concept of TE-based LEM is that the excess energy from the prosumers can be directly traded among local consumers through P2P negotiations, besides the utility grid. Thus, DERs can be operated more efficiently, and prosumers can achieve more economic benefits. However, it is critical to understand the social and trading behaviors of the prosumers in TE system operations. Also, it is crucial to consider various factors to when designing proper market-clearing mechanisms, such as dynamic energy pricing, physical network constraints, power losses, supply-to-demand ratio, distribution locational marginal price (DLMP), product differentiation, and network utilization cost.Therefore, this dissertation is focused on developing a distributed and cooperative TE management platform with dynamic energy pricing for efficient and privacy-preserving smart grid operation, ensuring the maximum economic benefits for DER owners.Firstly, a fully decentralized and computationally efficient TE management strategy is developed with an equal-incremental-cost-based cooperative transactive control scheme. It facilitates robustness with time-varying communication topologies, plug-and-play capability, and intelligent decision-making. Also, it provides flexibility to energy providers and consumers, who can determine their supply and consumption level based on their satisfaction. The designed method has low computation complexity and converges faster than the existing approaches, and it is effective for various communication networks, such as directed and undirected communication graphs. The feasibility of the developed method is justified through real-time implementation. Secondly, a novel P2P-transaction-capable energy management framework is developed for TE-based LEM that provides various market-clearing algorithms. Different distributed optimization approaches were utilized in this framework, such as alternating direction method of multipliers (ADMM), dual-decomposition, consensus-based, and game-theoretic approaches. The proposed framework includes: (1) a network-constrained bilateral energy pricing algorithm considering reputation-based product differentiation, electrical distance-based network utilization cost, and network power losses, which is highly scalable and computationally efficient than the recent P2P energy trading approaches; (2) a two-tier P2P energy trading approach to enhance the economic benefits of the prosumers that allow energy arbitrage in inter-and intra-area markets considering the power network constraints; and (3) a DLMP-integrated peer-to-peer-to-grid (P2P2G) energy trading algorithm for grid-interactive transactive energy systems (e.g., residential prosumers) using the ADMM and game-theoretic approaches. The results show that the introduced reputation index respects the trading willingness of prosumers without affecting their social welfare/profits. Moreover, the network utilization cost encourages the prosumers to exchange energy with closer prosumers, reducing network power losses; thus, it improves energy efficiency in the system. It is also shown that the prosumers can significantly enhance their monetary benefits by adopting the proposed framework. The convergence of the proposed algorithms is briefly analyzed, and their effectiveness is justified in various standardized IEEE distribution networks.
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