基于改进文化基因算法的热电联产系统灵活性改造及优化调度

王黎明; 刘颖明; 庞新富; 王晓东; 王瀚博

doi:10.19912/j.0254-0096.tynxb.2024-0244

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (6) : 410-419. DOI: 10.19912/j.0254-0096.tynxb.2024-0244

基于改进文化基因算法的热电联产系统灵活性改造及优化调度

王黎明^1,2, 刘颖明¹, 庞新富², 王晓东¹, 王瀚博¹

作者信息 +

FLEXIBLE RETROFITTING AND OPTIMAL SCHEDULING OF COGENERATION SYSTEM BASED ON IMPROVED MEMETIC ALGORITHM

Wang Liming^1,2, Liu Yingming¹, Pang Xinfu², Wang Xiaodong¹, Wang Hanbo¹

Author information +

文章历史 +

摘要

针对中国“三北”地区供暖季热电联产系统“以热定电”工作模式下的弃风限电问题,对系统的灵活性进行改造,通过在系统中引入分时电价和热舒适度挖掘需求侧响应潜力,增设储热罐和电锅炉进一步解除热-电耦合,并提出一种考虑需求侧响应和热-电解耦元件的优化调度方法。该方法采用多目标分层序列法处理调度目标,包括调度解质量、经济性和风电消纳能力,并设计一种基于改进文化基因算法的求解方法,利用自适应交叉概率和变异概率以及基于邻域交换的模拟退火策略,提高算法的收敛性和寻优性能。仿真结果表明,该方案能够有效提高热电联产系统运行经济性和风电利用率,且热-电解耦装置的效果优于需求侧响应。

Abstract

This paper aims at the problem of wind curtailment and power limitation in the cogeneration system under the “heat-oriented” operation mode in the heating season of the “Three North” regions in China. The system's flexibility is improved by introducing time-of-use electricity price and thermal comfort degree to exploit the potential of demand response and by adding a thermal storage tank and electric boiler to decouple heat and power further. An optimal scheduling method considering demand response and heat-power decoupling components is proposed. The method adopts a multi-objective hierarchical sequencing method to deal with the scheduling objectives, including the quality of the scheduling solution, economy, and wind power consumption capacity. An improved memetic algorithm, which uses adaptive crossover probability and mutation probability and a simulated annealing strategy based on neighborhood exchange, is designed to solve the problem and enhance the algorithm's convergence and optimization performance. The simulation results show that the scheme can effectively improve the economic operation and wind power utilization rate of the cogeneration system, and the effect of heat-power decoupling devices is better than that of demand response.

导出引用

王黎明, 刘颖明, 庞新富, 王晓东, 王瀚博. 基于改进文化基因算法的热电联产系统灵活性改造及优化调度[J]. 太阳能学报. 2025, 46(6): 410-419 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0244

Wang Liming, Liu Yingming, Pang Xinfu, Wang Xiaodong, Wang Hanbo. FLEXIBLE RETROFITTING AND OPTIMAL SCHEDULING OF COGENERATION SYSTEM BASED ON IMPROVED MEMETIC ALGORITHM[J]. Acta Energiae Solaris Sinica. 2025, 46(6): 410-419 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0244

中图分类号： TP18 TM73

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