Double-layer optimization configuration method for distributed energy storage system

Through the dual-layer optimization configuration method, combined with particle swarm algorithm and photovoltaic multi-mode control strategy, the distributed energy storage system is optimized, which solves the voltage limit problem caused by distributed photovoltaic power generation, and improves the consumption capacity and economics of the distribution network .

CN119209635APending Publication Date: 2024-12-27STATE GRID SICHUAN ECONOMIC RES INST +2
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Patent Information

Application Number
CN202411169087.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-23
Publication Date
2024-12-27

AI Technical Summary

Technical Problem

When the existing technology solves the problem of overlimiting the distribution network voltage caused by distributed photovoltaic power generation, there is redundant energy storage configuration, ignoring the economics of photovoltaics and controlling strategies, resulting in uneconomical operation of the distribution network.

Method used

The two-layer optimization configuration method of distributed energy storage system is adopted, and the upper-layer optimization model is aimed at the comprehensive annual cost and annual income of energy storage, and the energy storage location and capacity are determined in combination with the particle swarm algorithm; the lower-layer optimization uses K-mean clustering and photovoltaics Multi-mode control strategy, coordinate photovoltaic and energy storage output, and optimize voltage control.

Benefits of technology

It effectively solves the voltage limit problem caused by distributed photovoltaic power generation, improves the distribution network's ability to absorb photovoltaics, reduces the redundancy of energy storage configuration, and improves economics.

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Abstract

The invention relates to the technical field of power distribution networks, and discloses a distributed energy storage system double-layer optimization configuration method, which comprises the following steps: upper-layer optimization: constructing an upper-layer optimization model by taking energy storage comprehensive annual cost and annual income as objective functions; solving the upper-layer optimization model to obtain an optimal result of energy storage locating and sizing; lower-layer optimization: clustering the photovoltaic operation scenes of one year by adopting a K-means clustering algorithm to obtain a classic operation scene; a photovoltaic multi-mode control strategy is utilized to solve the voltage out-of-limit problem caused by photovoltaic power generation; and constructing a lower-layer optimization model by taking the photovoltaic annual income as a target function, and solving the lower-layer optimization model to obtain an optimal operation strategy of energy storage charging and discharging. The method has the advantages that the problem of voltage out-of-limit caused by distributed photovoltaic is solved by using the photovoltaic multi-mode control strategy in a classic photovoltaic operation scene, and compared with a photovoltaic droop control strategy, the method has a better voltage control effect and can improve the consumption capability of the distributed photovoltaic.
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