Comprehensive renewable energy system energy storage capacity optimal configuration method based on multiple time scales

By adopting a double-layer optimization model with multiple time scales in the energy storage system, the problem of unreasonable energy storage capacity configuration caused by ignoring changes in different time scales in the prior art is solved, and the economic and stability of the system is improved.

CN119787439APending Publication Date: 2025-04-08YUNNAN ELECTRIC POWER TESTING & RES INST (GRP) CO LTD
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Patent Information

Application Number
CN202411837160.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-13
Publication Date
2025-04-08

AI Technical Summary

Technical Problem

The existing energy storage system capacity configuration optimization methods ignore changes in energy supply and demand and investment decisions on different time scales, resulting in unreasonable energy storage capacity allocation, system instability and cost increase.

Method used

A multi-time scale comprehensive renewable energy system energy storage capacity optimization configuration method is adopted, and through the coupling of internal and external optimization models, a multi-time scale nested double-layer energy storage capacity optimization configuration model is built to smooth out the real-time fluctuations of renewable energy and minimize the economic cost of energy storage.

Benefits of technology

It significantly reduces the total cost of the system, improves economics, effectively curbs the fluctuations in photovoltaic and wind power generation, ensures the stability and reliability of the system, and provides decision makers with more scientific and flexible decision-making support.

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Abstract

The invention provides an energy storage capacity optimal configuration method based on multiple time scales, which solves the coordination problem of power dispatching supply and demand balance and energy storage system investment decision under multiple time scales through a designed multi-target double-layer optimization model, and optimizes and synthesizes the stability and economy of a renewable energy system. According to the method, the problem of renewable energy fluctuation under long and short time scales is considered firstly, an inner-layer model with minimum power fluctuation under the short time scale is constructed by taking the minimum real-time scheduling error as a target function, and supply and demand stability is ensured in hour-level short time scale scheduling. In day-level medium and long term time scale scheduling, an outer layer regulation and control model under a medium and long term time scale is constructed by taking intra-day scheduling power balance and minimum economic cost as objective functions, and renewable energy fluctuation stabilization and energy storage system cost optimization under multiple time scales are ensured.
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Citation Information

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