NDLI: Generalized transmission scheduling problem: Scheduling of nondiscriminatory transmission services in the mixed pool-bilateral systems

Content Provider	IEEE Xplore Digital Library
Author	Minghai Liu Gross, G.
Copyright Year	2005
Description	Author affiliation: Univ. of Illinois, Urbana (Minghai Liu; Gross, G.)
Abstract	Nondiscriminatory transmission services are an essential requirement of open access and constitute a basic premise for the smooth functioning of competitive electricity markets. This requirement is particularly critical when there are bilateral transactions coexisting side-by-side with the centralized day-ahead electricity markets in which the so-called pool players participate as buyers and sellers. The nondiscriminatory allocation of transmission services to the pool players and the bilateral transactions is synonymous with the determination of the market outcomes and the provision of transmission services to the bilateral transactions. We propose the formulation of a generalized transmission scheduling problem (GTSP) to simultaneously accomplish this objective. The proposed GTSP formulation not only captures more appropriately the social welfare and market efficiency loss, but also results in more efficient market outcomes than the conventional transmission scheduling problem (TSP) formulations in the presence of transmission congestion. In addition, the GTSP solutions determine more appropriate locational marginal prices (LMPs) and, consequently, LMP differences for computing the congestion charges and the payoffs for the financial transmission rights (FTR). We assess the capabilities of the proposed GTSP formulation and quantify the improvements over conventional TSP solutions. These improvements become particularly important as the load served by the bilateral transactions constitute an increasingly large portion of the total load in the system. We illustrate quantifiable benefits of the GTSP solutions on a wide range of systems including the IEEE 118-bus network. The representative numerical results in the paper provide persuasive support for the effectiveness of the proposed formulation and the superiority of its solutions over those of the conventional TSP.
Starting Page	1
Ending Page	9
File Size	1408964
Page Count	9
File Format	PDF
ISBN	9785932080344
DOI	10.1109/PTC.2005.4524732
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-27
Publisher Place	Russia
Access Restriction	Subscribed
Rights Holder	Energy Systems Institute
Subject Keyword	Electricity supply industry Propagation losses Energy management Processor scheduling Data security Guidelines Centralized control Financial management financial transmission right payoffs day-ahead electricity markets transmission service scheduling locational marginal prices congestion management congestion charges
Content Type	Text
Resource Type	Article

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