PROJECT TITLE :
An Enterprise Control Assessment Method for Variable Energy Resource-Induced Power System Imbalances—Part II: Parametric Sensitivity Analysis
In recent times, renewable energy has developed to deal with energy security and climate modification drivers. But, as energy resources, they possess a variable and unsure nature that considerably complicates grid balancing operations. So, an intensive academic and industrial literature has developed to see how abundant such variable energy resources (VERs) might be integrated and a way to best mitigate their impacts. Whereas certainly insightful with the context of their application, many integration studies have methodological limitations as a result of they're case specific, address a single control perform of the facility grid balancing operations, and are typically not validated by simulation. The prequel to the current paper presented a holistic method for the assessment of power grid imbalances induced by VERs primarily based upon the concept of enterprise management. This paper currently systematically studies these power grid imbalances in terms of five freelance variables: 1) day-ahead market time step; a pair of) real-time market time step; 3) VER normalized variability; four) normalized day-ahead VER forecast error; and five) normalized short-term VER forecast error. The systematic study elucidates the impacts of these variables and provides important insights as to how planners should address these independent variables in the longer term.
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