Title :
A Congestion Management Aflocation Mechanism for Multiple Transaction Networks
Author :
Tao, Shifei ; Gross, G.
Author_Institution :
ABB Energy Information Systems; University of Illinois at Urbana at Champaign
fDate :
5/1/2002 12:00:00 AM
Abstract :
We present a physical-flow-based congestion management allocation mechanism for multiple transaction networks. We use the multiple transaction network framework constructed in [1] to characterize transmission congestion and then determine the contribution to congestion attributable to each transaction on a physical-flow basis. This allocation scheme explicitly addresses the issue of counter flows. The allocation results are used in the independent grid operator´s (IGO) congestion relief so as to allow it to acquire relief services to remove the overload congestion attributed to each transaction from the network in the most economic manner. The congestion charges attributable to each transaction for its usage of the network are also determined. We tested the proposed scheme on several systems, and we illustrate its capabilities on a network based on the IEEE 57-bus system. We discuss the policy implications of the congestion relief allocation solution. The proposed scheme provides physically reasonable results and is applicable to large-scale networks.
Keywords :
Environmental economics; Frequency synchronization; Fuel economy; Genetic algorithms; Portfolios; Power generation economics; Power system economics; Pricing; Wind energy; Wind turbines; Congestion management allocation; allocation mechanisms; multiple transaction networks; open access transmission regimes; transmission pricing;
Journal_Title :
Power Engineering Review, IEEE
DOI :
10.1109/MPER.2002.4312205