Aeration and light storage collaborative scheduling method and device for sewage plant, equipment and medium

By constructing a collaborative scheduling model that minimizes total carbon emissions throughout the entire lifecycle, the operation of the aeration and photovoltaic-storage systems in the wastewater treatment plant is optimized. This solves the problems of high energy consumption and uncontrollable carbon emissions in the aeration system, achieving efficient consumption of photovoltaic green electricity and efficient utilization of energy storage equipment. It also enables precise control of carbon emissions throughout the plant and low-carbon, efficient operation of wastewater treatment.

CN122414481APending Publication Date: 2026-07-17CHINA THREE GORGES CORPORATION
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA THREE GORGES CORPORATION
Filing Date
2026-04-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Wastewater treatment plants have high energy consumption in their aeration systems and cannot effectively control carbon emissions. The absorption rate of photovoltaic green electricity is low, and the utilization rate of energy storage equipment is insufficient, resulting in a high proportion of electricity purchased from the grid during high-carbon periods, making it difficult to achieve low-carbon and efficient operation.

Method used

A collaborative scheduling model is constructed with the goal of minimizing total carbon emissions over the entire life cycle. It integrates multi-source input data such as the initial operating status of the wastewater treatment plant, photovoltaic power generation, dynamic carbon intensity of the power grid, influent flow rate and water quality to achieve coupled solution of the process side and energy side. Through the linkage calculation of dissolved oxygen setpoint and energy storage charging and discharging power, the collaborative scheduling of the aeration system and the photovoltaic-storage system is optimized.

Benefits of technology

It improves the local consumption rate of photovoltaic green electricity and the utilization rate of energy storage equipment, reduces the purchase of electricity from the grid during high-carbon periods, achieves precise control of carbon emissions of the entire plant, and takes into account both the requirements for meeting the water quality standards of wastewater treatment and the goal of low-carbon and efficient operation.

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Abstract

本发明涉及能源优化技术领域,公开了污水厂的曝气和光储协同调度方法、装置、设备及介质,方法包括:基于初始状态数据、目标时段的光伏发电功率、电网动态碳强度、曝气系统的进水流量数据、进水水质数据对预先构建的协同调度模型进行求解,得到目标时段曝气系统的溶解氧设定值以及储能系统的目标充放电功率,协同调度模型包括目标函数和约束条件,目标函数是以总碳排放量最小为目标确定的,总碳排放量是根据电网动态碳强度、从电网购入功率、单位绿电环境价值因子、向电网售出功率、储能的等效碳排放系数以及储能系统充放电功率确定的;基于溶解氧设定值以及目标充放电功率对污水厂的曝气系统和光储系统进行协同调度。
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