Economy Regulation Method for Distributed Energy Storage in Distribution Network According to K-means Clustering

doi:10.3969/j.issn.1000-7229.2019.05.003

Abstract

Abstract: With the development of power market and the improvement of energy storage technology， it has become a trend to access a large number of distributed energy storage systems in distribution networks. In order to improve the economy of distributed energy storage participating in power grid operation and solve the contradiction between high cost and low profit， this paper establishes an optimal regulation model of distributed energy storage on the basis of improved K-means clustering in power market. The model can balance the difference of life loss between distributed energy storage individuals， reduce the total operating cost and improve the scheduling potentials of distributed energy storage during operation. Finally， 500 energy storage systems with different parameters in the electricity market are taken as examples to verify the feasibility and validity of the proposed regulation model， which provides a new idea for distributed energy storage to participate in the operation of power grid.

Key words: energy storage system, K-means clustering, aggregation modeling, scheduling potential

CLC Number:

TM 732

YIN Qukai， MI Zengqiang， JIA Yulong， FAN Hui. Economy Regulation Method for Distributed Energy Storage in Distribution Network According to K-means Clustering[J]. Electric Power Construction, 2019, 40(5): 20-27.

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