梁睿, 袁乐童, 黄宏旭, 顾晨, 李嘉翔, 卢巍, 徐青平, 吴金辉. 变温影响下乡村生物质能发电系统跨周期滚动优化运行方法[J]. 中国电机工程学报, 2025, 45(8): 3067-3078. DOI: 10.13334/j.0258-8013.pcsee.232154
引用本文: 梁睿, 袁乐童, 黄宏旭, 顾晨, 李嘉翔, 卢巍, 徐青平, 吴金辉. 变温影响下乡村生物质能发电系统跨周期滚动优化运行方法[J]. 中国电机工程学报, 2025, 45(8): 3067-3078. DOI: 10.13334/j.0258-8013.pcsee.232154
LIANG Rui, YUAN Letong, HUANG Hongxu, GU Chen, LI Jiaxiang, LU Wei, XU Qingping, WU Jinhui. Multi-hydraulic Retention Time Rolling Optimal Operation Method for Rural Biomass Power Generation System Under Uncertain Temperature[J]. Proceedings of the CSEE, 2025, 45(8): 3067-3078. DOI: 10.13334/j.0258-8013.pcsee.232154
Citation: LIANG Rui, YUAN Letong, HUANG Hongxu, GU Chen, LI Jiaxiang, LU Wei, XU Qingping, WU Jinhui. Multi-hydraulic Retention Time Rolling Optimal Operation Method for Rural Biomass Power Generation System Under Uncertain Temperature[J]. Proceedings of the CSEE, 2025, 45(8): 3067-3078. DOI: 10.13334/j.0258-8013.pcsee.232154

变温影响下乡村生物质能发电系统跨周期滚动优化运行方法

Multi-hydraulic Retention Time Rolling Optimal Operation Method for Rural Biomass Power Generation System Under Uncertain Temperature

  • 摘要: 为助力实现国家乡村振兴战略及双碳目标,提高乡村生物质能产出效率及用能清洁化水平,该文提出变温影响下乡村生物质能发电系统跨周期滚动优化运行方法。首先,精确建模生物质物料预处理、厌氧消化产沼、沼气净化与贮存、沼气发电及余热回收、增温助产等环节,提出精准量化助产能耗与发电增量的乡村生物质能产沼及发电优化模型;其次,考虑环境不确定性因素对厌氧消化产沼效率的影响,针对跨多个水力停留周期下的助增方式及运行变量难以决策的问题,提出一种跨周期的滚动优化运行方法,以最近一个水力停留周期为控制域,滚动时窗后移更新环境温度、太阳辐射等变量数据,以年运行总发电量最大为目标,生成跨周期乡村生物质能发电系统滚动优化运行方案;最后,以我国北方某大型农场乡村生物质能发电系统为例进行仿真,验证了该方案能有效减小系统能耗,使全周期发电总量较仅采用余热回收提高14.66%以上。

     

    Abstract: To support the implementation of the national rural revitalization and dual-carbon target strategies, and improve the output and clean energy utilization of biomass in rural areas, this paper proposes a multi-hydraulic retention time(HRT) optimal operation method for rural biomass power generation system under uncertain temperature. First, accurate models are established for processes such as raw material pretreatment, anaerobic digestion for biogas production, biogas purification and storage, biogas power generation and waste heat recovery, and temperature enhancement for aiding production. The model quantifies the energy consumption for aiding production and the increment in electricity generation in rural biomass production and power generation. Then, considering the influence of environmental uncertainties on the efficiency of anaerobic digestion for biogas production, a rolling optimization method across multiple HRTs is proposed to address the difficulty in decision-making regarding the aiding methods and operating variables. The method uses the most recent HRT as the control domain, updates variable data such as environmental temperature and solar radiation through rolling time window shifting, and aims to maximize the annual total electricity generation to generate operation plans for rural biomass power generation systems. Finally, simulation is conducted using a large-scale rural biomass power generation system in a northern region of China as an example. The results demonstrate that the proposed scheme effectively lowers system energy consumption, achieving a 14.66% increase in total electricity generation over the complete operational for cycle compared to waste heat recovery alone.

     

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