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Enhanced Representative Days and System States Modeling for Energy Storage Investment Analysis. (arXiv:1810.09539v1 [math.OC])
来源于:arXiv
This paper analyzes different models for evaluating investments in Energy
Storage Systems (ESS) in power systems with high penetration of Renewable
Energy Sources (RES). First of all, two methodologies proposed in the
literature are extended to consider ESS investment: a unit commitment model
that uses the System States (SS) method of representing time; and another one
that uses a representative periods (RP) method. Besides, this paper proposes
two new models that improve the previous ones without a significant increase of
computation time. The enhanced models are the System States Reduced Frequency
Matrix (SS-RFM) model which addresses short-term energy storage more
approximately than the SS method to reduce the number of constraints in the
problem, and the Representative Periods with Transition Matrix and Cluster
Indices (RP-TM&CI) model which guarantees some continuity between
representative periods, e.g. days, and introduces long-term storage into a
model originally designed on 查看全文>>