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Multi-Parametric Nonlinear Programming for Lossy LMP Sensitivity Analysis Using Outer Progressive Cuts
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DOI：10.1109/tpwrs.2026.3670782.png)
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Abstract
En 中文
Accurate sensitivity analysis of locational marginal price (LMP) is crucial for risk hedging and market management. This paper proposes multiparametric nonlinear programming for sensitivity analysis of LMP with nonlinear network loss, also known as lossy LMP. Global analytical solutions for lossy LMP and the corresponding critical regions are derived. An outer progressive cut algorithm is developed to constrain the network loss error within a specific range for the whole parametric domain. Case studies show the improved accuracy over methods with lossless or fixed loss factors, and a two-order-of-magnitude online speedup over Monte Carlo methods while maintaining lower total computational time.
Keywords:
Sensitivity analysis
Costs
Propagation losses
Generators
Wind power generation
Programming
Load modeling
Computational modeling
Accuracy
Wind farms
Locational marginal price
multi-parametric nonlinear programming
network loss
outer progressive cuts
sensitivity analysis
Journal
IF:
7.2
Papers:
1.1W
Citations:
5.0W
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