A Decentralized Congestion Management Approach for the Multilateral Energy Transaction Via Optimal Resource Allocation
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Home > Science, Technology & Agriculture > Energy technology and engineering > Electrical engineering > A Decentralized Congestion Management Approach for the Multilateral Energy Transaction Via Optimal Resource Allocation
A Decentralized Congestion Management Approach for the Multilateral Energy Transaction Via Optimal Resource Allocation

A Decentralized Congestion Management Approach for the Multilateral Energy Transaction Via Optimal Resource Allocation


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About the Book

This dissertation, "A Decentralized Congestion Management Approach for the Multilateral Energy Transaction via Optimal Resource Allocation" by Kai, Liu, 劉愷, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: ABSTRACT Abstract of the thesis entitled "A Decentralized Congestion Management Approach for Multilateral Energy Transactions via Optimal Resource Allocation" Submitted by Kai Liu for the degree of Master of Philosophy at the University of Hong Kong In the past 20 years, electricity industry has undergone unavoidable trends of deregulation and restructuring. Transmission congestion management has become a critical task for the smooth functioning of the competitive electricity market. Under the finite amount of power transferred on the transmission grid to avoid the violation of transmission system constraints, it may not be able to satisfy all the bilateral or multilateral energy transactions and to supply the pool load with least cost. On the other hand, market participants call for a non-discriminatory service from the transmission system. Traditional methodologies of transmission congestion management are centralized decision-making methods, where the market is a centralized market, to deal with the shared resources of an integrated transmission network. This centralized market achieves the OPF at the expense of a market participant's commercial privacy. With a centralized authority, the Independent System Operator (ISO) computes the optimum of quantities for all market participants and assigns the transmission charge. Thus the ISO is "super-powered" and works more like a 'black box' that lacks transparency to market participants. The decentralized market model has been widely welcomed, because of its competitive advantage for offering the flexibility of market participants to achieve their goals and also maintain the confidentiality their sensitive information. This II thesis proposes the framework of a new resource-based decentralized approach, which is an important complementation of previous price-based decentralized approach for electricity market. In our model, the ISO directly divides the commonly shared transmission network resources and allocates them to market participants, the multilateral energy transactions, for their usage. The economic decision can be freely carried out by the transactions. The ISO uses certain coordination algorithms to adjust the holding of common resources among the transactions. It acts as an invisible hand to lead the global market to achieve the efficient operation, i.e. maximal social welfare. The relevant theoretical proof and derivation of proposed model are presented in the thesis in detail. The results of simulation tests based on IEEE 30-bus system verify the correctness of our model and solution algorithms. The extended applications of our model are discussed, i.e. multi-market congestion management. III DOI: 10.5353/th_b3875010 Subjects: Electric power transmission - Mathematical models Electric utilities - Deregulation Electric utilities - Management - Mathematical models


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Product Details
  • ISBN-13: 9781361471159
  • Publisher: Open Dissertation Press
  • Publisher Imprint: Open Dissertation Press
  • Height: 279 mm
  • No of Pages: 88
  • Weight: 227 gr
  • ISBN-10: 1361471158
  • Publisher Date: 27 Jan 2017
  • Binding: Paperback
  • Language: English
  • Spine Width: 5 mm
  • Width: 216 mm


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A Decentralized Congestion Management Approach for the Multilateral Energy Transaction Via Optimal Resource Allocation
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