A Multi-Dimensional Dynamic Profiling Modeling Method for User-Side Distributed Energy Storage Considering Endogenization of Lifecycle Cost
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Abstract
User-side distributed energy storage serves as a core carrier for the coordinated development of source-grid-load-storage in new power systems. Most existing user profiling models for energy storage treat battery life decay cost as a fixed exogenous parameter while ignoring the dynamic coupling characteristics between battery life attenuation and operational costs, which leads to distorted characterization of energy storage operational features and large deviations in economic evaluation. To address this problem, this paper proposes a multi-dimensional dynamic profiling modeling method for user-side distributed energy storage with endogenized lifecycle cost. Firstly, the calendar fading and cyclic fading mechanisms of energy storage batteries are analyzed, and an endogenized lifecycle cost accounting model is constructed to realize dynamic coupling between energy storage operational behaviors and life loss costs. Secondly, a profiling indicator system for energy storage users is established covering four dimensions: static attributes, dynamic behaviors, economic benefits and life status, and multi-dimensional profiling modeling is completed by integrating a time-series data dynamic updating mechanism. Finally, a case study of typical users is conducted to compare and analyze the modeling differences between endogenized and exogenized lifecycle cost modes, which verifies that the proposed method can accurately depict the operational and economic characteristics of energy storage for different users. The research results provide theoretical support and technical basis for refined operation, differentiated management and control, and precise market empowerment of user-side energy storage.
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