Energy storage power station capacity measuring and calculating method considering power grid bearing capacity and multiple application scenes

By employing least squares fitting scenario aggregation correction technology and linearization transformation, an optimal capacity calculation model for energy storage power stations is constructed. This solves the problem that the grid carrying capacity and multi-scenario requirements were not considered in the existing technology, and realizes the optimized calculation of energy storage power station capacity and the assessment of grid safety and stability.

CN121507959APending Publication Date: 2026-02-10STATE GRID ZHEJIANG ELECTRIC POWER CO LTD
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Patent Information

Application Number
CN202511646178.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-11
Publication Date
2026-02-10

AI Technical Summary

Technical Problem

Existing energy storage capacity optimization calculation methods lack strict constraints on grid carrying capacity and fail to fully consider the impact of energy storage charging and discharging behavior on grid load curves, leading to increased peak-valley differences. Furthermore, existing calculation models fail to fully consider the needs of multiple scenarios, resulting in capacity calculation results deviating from actual needs.

Method used

A scenario aggregation correction technique based on least squares fitting is adopted. Typical scenario sets are obtained through clustering, and natural power fluctuation curves are obtained by combining the least squares method. An optimal capacity calculation model for energy storage power stations is constructed, which takes into account the grid carrying capacity and multiple application scenarios. The model is solved by commercial optimization software, taking into account system power balance, multi-scenario requirements and user investment returns.

Benefits of technology

It enables more accurate capacity calculation of energy storage power stations, avoids the negative impact of redundant investment on the power grid, meets the power grid carrying capacity requirements, improves the comprehensiveness of energy storage operation and revenue calculation, and simulates the impact of user-side investment behavior on the power grid.

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Abstract

The invention discloses an energy storage power station capacity measuring and calculating method considering the power grid bearing capacity and multiple application scenes. The method comprises the following steps: firstly, performing fitting correction on a scene by adopting a scene aggregation correction technology based on least square fitting; and constructing an energy storage power station capacity optimal measurement and calculation model considering the power grid bearing capacity and multiple application scenes, finally carrying out linear transformation on the energy storage power station capacity optimal measurement and calculation model, and solving by adopting commercial optimization software. According to the calculation model, multiple application scenes are introduced, and peak regulation, frequency modulation and standby multiple dimensions are considered, so that the operation and income calculation of the energy storage power station are more comprehensive, the behavior of investing the energy storage power station on the user side can be better simulated, and the influence of energy storage access on the power grid can be better evaluated. According to the scene aggregation correction technology, fitting correction is carried out on the scene by introducing the least square method, more efficient and accurate scene expression is achieved, and the problem solving scale and solving difficulty are reduced.
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