一种微电网环境下平衡风电波动的空调系统需求响应方法

By establishing a model in the microgrid and optimizing the air conditioning temperature setpoint and resource allocation, the problems of low energy efficiency and high cost caused by wind power fluctuations in the microgrid were solved, and the microgrid operation with optimal economic cost was achieved.

CN116207747BActive Publication Date: 2026-07-17STATE GRID JIANGSU ELECTRIC POWER CO LTD SUZHOU BRANCH +3

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID JIANGSU ELECTRIC POWER CO LTD SUZHOU BRANCH
Filing Date
2023-01-31
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Microgrids suffer from low energy efficiency and high energy costs due to the intermittency and uncertainty of renewable energy sources, and existing technologies struggle to effectively balance wind power fluctuations.

Method used

By establishing a microgrid model of gas turbine, wind power, energy storage, and air conditioning load, the range of air conditioning temperature setpoint is calculated, and a strategy for balancing wind power fluctuations in air conditioning load is constructed. By coordinating the output power of gas turbine, the charging and discharging power of energy storage, and the air conditioning temperature setpoint, the microgrid resource allocation is optimized to balance wind power fluctuations.

Benefits of technology

While ensuring user comfort, the microgrid achieved optimal economic operation by optimizing the air conditioning load temperature setpoint and other resource allocations, thereby improving energy efficiency and reducing energy costs.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种微电网环境下平衡风电波动的空调系统需求响应方法,所述方法包括:建立以燃气轮机、风电、储能及空调负荷的微电网模型,获取燃气轮机的输出电功率、储能充电功率、储能放电功率;根据燃气轮机的输出电功率、储能充电功率、储能放电功率计算得到空调负荷模型的空调温度设定点范围;基于空调温度设定点范围构建空调负荷平衡风电波动策略,得到聚合空调平均温度设定点;基于聚合空调负荷温度设定点、燃气轮机出力功率、储能充放电功率和与配网侧交互功率构建微电网效益最大化空调系统需求响应模型。
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