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A PSO-based SFE approach for congestion-constrained power market Equilibrium studies

机译:基于PSO的SFE方法用于拥塞受限的电力市场均衡研究

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摘要

In this paper, PSO algorithm is used to reach Nash-Equilibrium in congestion-constrained power market through a two-level optimization process. Enhanced Supply Function Equilibrium (SFE) incorporating Generalized Generation Distribution Factors for higher accuracy, is the approach to determine the equilibrium point of the market. Since GGDF values vary with the line flows as well as generation and load quantities, this approach can yield more accurate results than those not considering the varying nature of GGDFs.
机译:本文采用PSO算法通过两级优化过程,在拥塞受限的电力市场中达到Nash均衡。结合广义发电分配因子以提高准确性的增强供给功能平衡(SFE)是确定市场平衡点的方法。由于GGDF值随管线流量以及发电量和负载量的变化而变化,因此与不考虑GGDF的变化性质的方法相比,此方法可产生更准确的结果。

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