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Title:Analysis and performance evaluation of coordinated transaction scheduling
Author(s):Yurdakul, Ogun
Advisor(s):Sauer, Peter W.
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):coordinated transaction scheduling, interchange evaluation, power system economics
Abstract:In this thesis, we focus on coordinated transaction scheduling (CTS)—an interchange evaluation methodology that is deployed by the New York Independent System Operator (NYISO) and Independent System Operator-New England (ISO-NE) since December 15, 2015. The analysis and the quantification of the performance of any interchange evaluation methodology require the explicit representation of the physical aspects, the economic aspects, the steps of the coordination procedure, and all the interactions among them. In order to consider the required representation and tools in a unified structure, we construct a framework. This framework is general and comprehensive, and can be used as a consistent basis that allows the side-by-side comparison of any two interchange evaluation methodologies. We tailor this framework for CTS, and construct appropriate models of the power system assets and the economics of the two interconnected IGOs, as well as their interactions. We provide an analytical underpinning of the procedural steps of CTS, all the while taking considerable care to maintain the unshared information confidentiality as the private information of each IGO. We perform an assessment of the duration of each procedural step, and identify the binding constraints in the analysis of shorter coordination periods. We use the actual real-time market prices at Sandy Pond and Roseton busses, and evaluate the dependence of the interchange on the coordination period duration. In order to illustrate the execution of the procedural steps of CTS we use various data sets, and we evaluate the interface exchange and the total payments for each data set. We conduct sensitivity analyses, and examine the dependence of the interface exchange and the total payments on a change in the internal offers or the interface offers.
Issue Date:2018-04-27
Type:Text
URI:http://hdl.handle.net/2142/101097
Rights Information:Copyright 2018 Ogun Yurdakul
Date Available in IDEALS:2018-09-04
Date Deposited:2018-05


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