华北电力大学能源动力与机械工程学院
纸质出版:2026
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段朝霞, 段立强, 冀帅宇, 等. 基于塔式光热耦合抽汽储热光煤互补发电系统的多目标优化研究[J]. 热力发电, 2026,(9).
段朝霞, 段立强, 冀帅宇, et al. 基于塔式光热耦合抽汽储热光煤互补发电系统的多目标优化研究[J]. Thermal Power Generation, 2026, (9).
段朝霞, 段立强, 冀帅宇, 等. 基于塔式光热耦合抽汽储热光煤互补发电系统的多目标优化研究[J]. 热力发电, 2026,(9). DOI: 10.19666/j.rlfd.202512016.
段朝霞, 段立强, 冀帅宇, et al. 基于塔式光热耦合抽汽储热光煤互补发电系统的多目标优化研究[J]. Thermal Power Generation, 2026, (9). DOI: 10.19666/j.rlfd.202512016.
【目的】为提升燃煤机组在高比例可再生能源电网中的调峰能力与运行灵活性,提出一种塔式光热耦合抽汽储热的光煤互补发电系统,并开展多目标优化研究。【方法】基于内蒙古某地区实测全年逐时法向直接辐照度(DNI)数据,建立系统年运行性能与经济性评价模型,以抽汽量和储热时长为优化变量,采用非支配排序遗传算法(NSGA-Ⅱ)对年调峰容量、年收益和总投资进行多目标协同优化,并引入理想解相似度排序法(TOPSIS)选取最优折中方案。【结果】结果表明:在50%汽轮机热耗率验收(THA)工况下,最优配置参数为储热时长5.28 h、抽汽量102.46 t/h,对应年调峰容量22.16 MW、年收益4 014万元、总投资22 911万元,净现值为14 249万元;在30%锅炉最大连续出力(BMCR)和25%BMCR工况下,净现值分别为8 150万元和11 300万元,系统均表现出良好的经济性与灵活性。【结论】通过合理配置抽汽量与储热时长,可在兼顾系统经济性与调峰性能的同时显著提升燃煤机组运行灵活性。该研究结果可为光煤互补发电系统的优化设计与工程应用提供参考。
[Objective] With the increasing penetration of renewable energy in power systems
conventional coal-fired units are required to operate more flexibly and provide enhanced peak-shaving capability. To address this challenge
this study proposes a solar-coal complementary power generation system that integrates a tower-type concentrated solar power system with an extraction steam thermal energy storage scheme. The objective is to improve the operational flexibility and peak regulation performance of coal-fired units while maintaining favorable economic performance
thereby facilitating the large-scale integration of renewable energy into power grids. [Methods] Based on measured hourly direct normal irradiance(DNI) data over a full year from a representative region in Inner Mongolia
a comprehensive annual performance and economic evaluation model of the proposed system is established. The model considers the coupled operation of the coal-fired unit
the tower solar field
and the molten salt thermal storage system under varying solar and load conditions. The steam extraction rate and thermal storage duration are selected as key decision variables. A multi-objective optimization framework is developed to simultaneously maximize the annual peak-shaving capacity and annual economic benefit while minimizing the total investment. The non-dominated sorting genetic algorithm II(NSGA-II) is employed to obtain the Pareto-optimal solution set. Subsequently
the technique for order preference by similarity to ideal solution(TOPSIS) is applied to rank the Pareto solutions and identify the optimal compromise scheme suitable for engineering implementation. [Results] The optimization results indicate that under the 50% turbine heat acceptance(THA) operating condition
the optimal configuration corresponds to a thermal storage duration of 5.28 h and a steam extraction rate of 102.46 t/h. Under this configuration
the annual peak-shaving capacity reaches 22.16 MW
with an annual revenue of 40.14 million yuan
a total investment of 229.11 million yuan
and a net present value(NPV) of 142.49 million yuan. In addition
under the 30% boiler maximum continuous rating(BMCR) and 25% BMCR operating conditions
the net present values are 81.50 million yuan and 113.00 million yuan
respectively
demonstrating that the system maintains good economic performance even at deep peak-load shaving conditions. The results reveal that appropriate coordination between steam extraction capacity and thermal storage scale plays a critical role in balancing peak-shaving capability and economic benefits across different operating scenarios. [Conclusion] By reasonably configuring the steam extraction rate and thermal storage duration
the proposed solar-coal complementary system can significantly enhance the operational flexibility and peak-shaving performance of coal-fired units without compromising economic viability. The established multi-objective optimization framework effectively captures the trade-offs among peak regulation capability
economic benefit
and investment cost. The findings of this study provide valuable theoretical support and practical guidance for the optimal design and engineering application of tower-type CSP-coal-fired hybrid power generation systems.
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