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1. 上海电力大学能源与机械工程学院
2. 中国电力工程顾问集团华东电力设计院有限公司
Published:2026
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[1]徐传坤,张杰,马行驰,等.660 MW燃煤机组与AA-CAES耦合系统热解耦及调峰研究[J].热力发电,2026,55(02):95-107.
[1]徐传坤,张杰,马行驰,等.660 MW燃煤机组与AA-CAES耦合系统热解耦及调峰研究[J].热力发电,2026,55(02):95-107. DOI: 10.19666/j.rlfd.202506132.
DOI:10.19666/j.rlfd.202506132.
可再生能源装机大规模并网给燃煤机组调峰带来严峻挑战。为提高燃煤机组的灵活调节能力并解决典型压缩空气储能系统与燃煤机组耦合系统调峰过程中的能量矛盾,以660 MW燃煤机组为研究对象,基于EBSILON软件,提出了3种储能耦合方案与2种释能耦合方案,对不同储能、释能耦合方案采用热经济性指标进行对比,并对耦合系统的热能-时间解耦能力、消除调峰悖论能力和调峰性能进行分析。结果表明:在储能阶段,抽取中压缸排汽加热导热油方案具有最高的储热增益比1.370和最低的热耗率8 814.976 kJ/(kW·h);在释能阶段,抽取3号高压加热器疏水出口吸收导热油热能方案具有最低的热耗率7 547.945 kJ/(kW·h);经过8 h储热,耦合系统仍维持38.503 MW·h有效利用热能,且调峰悖论指数降低至–0.041。通过改变空气参数可使压缩空气储能系统往返效率提升2.702百分点,燃煤机组调峰深度提升了2.481%。研究结果为燃煤机组与储能系统协同优化提供了可行方案。
The large-scale integration of renewable energy poses significant challenges to the peak-shaving capacity of coal-fired units. To enhance operational flexibility and address energy flow conflicts in typical coal-fired systems coupled with compressed air energy storage systems during peak shaving
this study investigates a 660 MW coalfired unit using EBSILON software. Three energy storage schemes and two energy release schemes are proposed and evaluated through thermo-economic analysis
focusing on thermal-time decoupling capability
peak-shaving paradox elimination
and system performance. The results show that during energy storage
the scheme utilizing intermediate-pressure cylinder exhaust for thermal oil heating achieves the highest thermal storage gain ratio(1.370) and the lowest heat rate(8 814.976 kJ/(kW·h)). During energy release
the scheme absorbing heat from No.3 highpressure heater drain outlet yields the minimum heat rate(7 547.945 kJ/(kW·h)). After 8 hours of operation
the system retains 38.503 MW·h of utilizable thermal energy and reduces the peak-shaving paradox index to –0.041. Parameter optimization improves the round-trip efficiency of the compressed air energy storage system by 2.702 percentage points and increases the unit's peak-shaving depth by 2.481%. This study provides a viable solution for synergistic optimization of coal-fired units and energy storage systems.
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