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Identification of wheeling paths by an extended sensitivity analysis
Authors:Hiromu Hamada  Marta Marmiroli  Ryuichi Yokoyama
Affiliation:1. Tokyo Electric Power Company, 6-6, Midori-cho, Tachikawa-shi, Tokyo 190-0014, Japan;2. Mitsubishi Electric Corporation, 2-7-3 Marunouchi, Chiyoda-ku, Tokyo 100-8310, Japan;3. Graduate School of Environment and Energy Engineering, Waseda University, 1-1-7 Nishi-Waseda, Shinjuku-ku, Tokyo 169-0051, Japan;1. Arizona State University, 7418 Innovation Way South, Building ISTB-3, Rm 183, Mesa, AZ 85212, United States;2. Arizona State University, 7418 Innovation Way South, Building ISTB-3, Rm 121, Mesa, AZ 85212, United States;1. School of Engineering, International University of Beirut BIU, Beirut, Lebanon;2. School of Engineering, Lebanese International University LIU, Bekaa, Lebanon;3. LARIS EA 7315, Polytech Angers, UNIV Angers, France
Abstract:This paper proposes a practical method for identifying wheeling paths in deregulated electricity markets based on an extended sensitivity analysis. Using this method, it becomes possible to decide the proper and fair wheeling rate according to the degree of burden on transmission lines by each power flow transaction. Moreover, a wheeling rate based on the real power flow burden is also an important signal to new power suppliers in the markets. In order to show the validity of the proposed method, a series of simulations on the IEEE 30-bus test system were conducted.
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