锅炉(水暖)
工程类
汽车工程
粒子群优化
发电站
工艺工程
煤
可再生能源
电力
废物管理
功率(物理)
计算机科学
电气工程
物理
量子力学
机器学习
作者
Ming Liu,Shan Wang,Junjie Yan
出处
期刊:Energy
[Elsevier]
日期:2021-01-01
卷期号:214: 119022-119022
被引量:83
标识
DOI:10.1016/j.energy.2020.119022
摘要
The accommodation of high-penetration renewable power poses a considerable challenge to power grids. Coal-fired combined heat and power (CHP) stations are forced to enhance their operational flexibility by applying heat-power decoupling technologies. Power-to-heat devices, including electric boilers and heat pumps, are capable to enhance the operational flexibility of coal-fired CHP stations. The problem regarding the operation scheduling of a CHP station with multiple CHP units and power-to-heat devices is addressed in this study. Operation optimization models integrated with detail CHP unit models are developed, and the particle swarm optimization algorithm is utilized as the optimization algorithm. Then, a case study are carried out. Results show that the unequal distribution of heating and power loads among coal-fired CHP units can decrease the total irreversibility caused by heating steam pressure regulation. The operation scheduling method provided in this study can decrease the total coal consumption by 14.14 and 14.70 t/day for the CHP station integrated with an electric boiler and a heat pump, respectively. As a result, 1204.7 and 1252.44 ton CO2, and an additional ∼182 and ∼190 kUSD/year can be saved for the reference CHP station integrated with an electric boiler and a heat pump, respectively.
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