首页> 外文期刊>Renewable Power Generation, IET >Day-ahead scheduling of integrated electricity and district heating system with an aggregated model of buildings for wind power accommodation
【24h】

Day-ahead scheduling of integrated electricity and district heating system with an aggregated model of buildings for wind power accommodation

机译:综合电力和区供暖系统的一天调度,具有风力发电建筑汇总模型

获取原文
获取原文并翻译 | 示例
           

摘要

In traditional integrated electricity and district heating systems, the inflexible operation of combined heat and power units leads to a large amount of wind power curtailments during winter. The thermal inertia of aggregated buildings can provide additional operational flexibility to promote wind power accommodation. In this study, a day-ahead scheduling model for integrated electricity and district heating system considering the thermal inertia of buildings is proposed. In this work, the operation model of the district heating network under constant mass flow and variable temperature operation strategy is presented, and the aggregated model of buildings based on the detailed thermal model of buildings is established. Then, the scheduling framework is analysed and the day-ahead scheduling model is formulated as quadratic programming problem to minimise the operation cost of integrated electricity and district heating system. The validity of the proposed model is verified by the case studies performed on a 6-bus power system with a 6-node heating system and IEEE 39-bus electricity system with a 16-node heating system. The results demonstrate that the thermal inertia of buildings can provide additional operational flexibility and effectively help reduce wind power curtailment and operation costs.
机译:在传统的综合电力和区供暖系统中,冬季期间,综合热电装置的粘稠运行导致大量的风电缩减。聚集建筑的热惯性可以提供额外的操作灵活性,以促进风力发电。在这项研究中,提出了考虑建筑物热惯性的综合电力和区供热系统的一天前方调度模型。在这项工作中,提出了在恒定质量流量和可变温度运行策略下的地区加热网络的操作模型,并建立了基于建筑物详细的热模型的建筑物的聚集模型。然后,分析调度框架,并将日期调度模型制定为二次编程问题,以最大限度地减少集成电力和区域供热系统的运行成本。通过在具有6节高加热系统和具有16节高加热系统的IEEE 39总线电力系统的6节总电力系统上进行案例研究验证了所提出的模型的有效性。结果表明,建筑物的热惯性可以提供额外的操作灵活性,有效地帮助降低风力缩减和运营成本。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号