Manganese

Adaptive Predictive Energy Management Strategy for Integrating Intermittent Resources in Power Systems

In this paper, we develop a power system adaptive and predictive management strategy for integrating large-scale renewable energy penetration in the power systems. The variability and uncertainty of renewable energy increase the difficulty of the power system management extremely. Also, the problem becomes more challenging if the variable energy has large penetration. The proposed strategy depends on robust optimization under unforeseen contingencies and uncertain changes in intermittent resources output.

Publication Year: 
2018
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