A Piece-Wise Linear Model for Approximating LMP-Load Curve based on Critical Load Levels
In deregulated power markets, it is of high interest to have a mathematical representation of the LMP-Load curve for the purpose of various analytical studies such as probabilistic LMP analysis. However, LMP versus Load curve may present various linear and nonlinear patterns, and appears challenging to develop a simple and unified form of mathematical model to capture those patterns observed in the LMP-Load curve. Studies have shown that the LMP-Load curve presents change of patterns at Critical Load Levels (CLLs) where step changes of LMP occur. By utilizing the concept of CLLs, this paper proposes a method to divide a LMP-Load curve into segments, and employ linear curve-fitting to obtain a piece-wise linear model to represent the actual LMP-Load curve. Through accurately identified break points of the curve, the proposed method can very closely approximate the actual curve, which traditional curve fitting methods would fail to do. The method has been tested on a revised IEEE 118-bus system. The resulting piece-wise linear model has been verified to be an exceptionally accurate model to represent the actual LMP-Load curve. Various patterns of the curve have been captured and closely represented by the piece-wise linear approximation model.
R. Bo and F. Li, "A Piece-Wise Linear Model for Approximating LMP-Load Curve based on Critical Load Levels," Proceedings of the 17th Power Systems Computation Conference (2011, Stockholm, Sweden), pp. 148-154, Power Systems Computation Conference (PSCC), Aug 2011.
17th Power Systems Computation Conference, PSCC 2011 (2011: Aug. 22-26, Stockholm, Sweden)
Electrical and Computer Engineering
Keywords and Phrases
Deregulation; Electric Load Flow; ACOPF; Critical Load Levels; DCOPF; Locational Marginal Prices; Nonlinear; Optimal Power Flows; Curve Fitting; Critical Load Level (CLL); Locational Marginal Price (LMP); Optimal Power Flow (OPF); Probabilistic LMP Forecasting
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2011 Power Systems Computation Conference (PSCC), All rights reserved.
01 Aug 2011