Micro-grid energy storage capacity optimization model generation and configuration optimization method and device

By generating a distributed energy storage capacity configuration optimization model in the microgrid, the impact of photovoltaic power output uncertainty on energy storage optimization configuration is resolved, achieving safe, stable, and economical microgrid operation and improving management efficiency and economic benefits.

CN122292444APending Publication Date: 2026-06-26BEIJING JINGKAI COMPREHENSIVE SMART ENERGY CO LTD +1
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Patent Information

Application Number
CN202411883839.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies in microgrids fail to effectively consider the impact of uncertainties in photovoltaic output on the optimal configuration of energy storage, resulting in a relatively simple operation mode for microgrids and making it difficult to achieve safe, stable, and economical operation.

Method used

By acquiring historical operating data of the target microgrid, a clustering algorithm combining the improved K-means algorithm and elbow rule with the profile coefficient is used to determine typical power output scenarios. Formulas for daily operating cost changes and overall energy storage configuration cost are established to generate a microgrid distributed energy storage capacity configuration optimization model.

Benefits of technology

It enables the establishment of an optimal charging and discharging plan while minimizing the total cost of energy storage configuration, thereby improving the economic efficiency of microgrid operation and its ability to adapt to changes in the external environment, and enhancing the internal management and operational efficiency of microgrids.

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Abstract

The invention provides a micro-grid energy storage capacity optimization model generation and configuration optimization method and device. The method comprises the steps that historical operation data and operation constraint conditions are acquired; obtaining a typical output scene based on the historical operation data; establishing a daily operation cost variation formula and an energy storage total configuration cost formula of the target microgrid after energy storage configuration based on the typical output scene; and based on a daily operation cost variation formula, an energy storage total configuration cost formula and an operation constraint condition, establishing a micro-grid distributed energy storage capacity configuration optimization model of the configured target micro-grid. By establishing a distributed energy storage capacity configuration optimization model of the micro-grid, optimal configuration of internal resources of the micro-grid is facilitated, the economic benefit of operation of the target micro-grid is improved, and by generating a daily operation cost variation formula and an energy storage total configuration cost formula, the energy storage capacity of the micro-grid can be optimized on the premise of ensuring the minimum energy storage configuration total cost. And an optimal energy storage charging and discharging plan is established, and the practicability of the scheme is improved.
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