EN基于粒子群算法的多机组供热模式耦合热电负荷分配优化
Optimization of thermoelectric load distribution in coupled multi-unit heating modes based on particle swarm algorithm
- 热力发电 2025年54卷第12期 页码：94-101
- 作者机构：
- 作者简介：
- 基金信息：国家自然科学基金项目（52406019）;河北省自然科学基金（E2022502052）~~
DOI：10.19666/j.rlfd.202503053
中图分类号：-
纸质出版：2025
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文珏, 施宏波, 薛康康, 等. 基于粒子群算法的多机组供热模式耦合热电负荷分配优化[J]. 热力发电, 2025,54(12):94-101.
文珏, 施宏波, 薛康康, et al. Optimization of thermoelectric load distribution in coupled multi-unit heating modes based on particle swarm algorithm[J]. Thermal Power Generation, 2025, 54(12): 94-101.
文珏, 施宏波, 薛康康, 等. 基于粒子群算法的多机组供热模式耦合热电负荷分配优化[J]. 热力发电, 2025,54(12):94-101. DOI： 10.19666/j.rlfd.202503053.
文珏, 施宏波, 薛康康, et al. Optimization of thermoelectric load distribution in coupled multi-unit heating modes based on particle swarm algorithm[J]. Thermal Power Generation, 2025, 54(12): 94-101. DOI： 10.19666/j.rlfd.202503053.
摘要
多台机组联合供热时，机组间的热电负荷分配对全局能耗有重要影响。针对某电厂1号、3号机组为低压缸零出力、抽汽的双模式耦合供热，2号、4号机组为高背压、热泵、抽汽的三模式耦合供热的热电厂，使用EBSILON软件建立了变工况模型，通过调整主蒸汽流量、低压缸零出力汽量、热泵供热功率、高背压供热流量等参数，分析其热电特性和能耗特性，采用最小二乘法拟合电负荷和热负荷的运行边界以及煤耗量与热电负荷的关系，在全厂供热负荷和供电负荷固定的边界条件下通过粒子群算法优化热电负荷分配。结果表明：安排大容量高背压热泵机组提供热负荷，小容量高背压热泵机组提供电负荷时总煤耗量更低；优化后的全厂总煤耗量比优化前降低0.6～10.0 t/h，优化程度为0.3%～3.9%。
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