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Integrated Electrical, Heating, and Water Distribution System to Accommodate Wind Power
IEEE Transactions on Sustainable Energy ( IF 8.8 ) Pub Date : 2020-10-27 , DOI: 10.1109/tste.2020.3034134
Chunyan Li , Yiming Yao , Kaigui Xie , Bo Hu , Tao Niu

With the rapid development of communication technology, the cooperation between electrical systems and other energy systems has become possible to promote wind power accommodation. As a common kind of energy carrier, the water distribution system has not been researched so far to help accommodate wind power when integrated with other energy systems. This paper proposes a novel model of integrated electrical, heating, and water distribution system to accommodate wind power. The optimal scheduling of heat pump and water pump are studied to make full use of the abundant wind power. The heat transmission loss is considered and thus the best siting of the heat pump can be determined. The demand response program is also included in the schedule structure to make the modeling more comprehensive. Moreover, a novel two-layer decentralized optimization algorithm is proposed to protect the data privacy of each energy system. The effectiveness of the proposed integrated system model and the two-layer decentralized algorithm are verified on two test systems. The results indicate that system integrations can reduce the wind power curtailment significantly and decrease the operation cost of each energy system. Besides, the proposed two-layer algorithm performs well in terms of the algorithm efficiency and scalability.

中文翻译:

集成的电力,供暖和水分配系统,以适应风力发电

随着通信技术的飞速发展,电气系统与其他能源系统之间的合作已成为促进风力发电适应性发展的可能。作为一种常见的能源载体,迄今为止尚未对配水系统进行研究,以在与其他能源系统集成时帮助容纳风能。本文提出了一个新的模型来集成电力,供热和水分配系统,以适应风力发电。研究了热泵和水泵的最优调度方案,以充分利用丰富的风力资源。考虑了传热损失,因此可以确定热泵的最佳位置。需求响应程序也包含在进度表结构中,以使建模更加全面。而且,提出了一种新颖的两层分散优化算法来保护每个能源系统的数据隐私。在两个测试系统上验证了所提出的集成系统模型和两层分散算法的有效性。结果表明,系统集成可以显着减少风能的削减,并降低每个能源系统的运行成本。此外,所提出的两层算法在算法效率和可扩展性方面表现良好。结果表明,系统集成可以显着减少风能的削减,并降低每个能源系统的运行成本。此外,所提出的两层算法在算法效率和可扩展性方面表现良好。结果表明,系统集成可以显着减少风能的削减,并降低每个能源系统的运行成本。此外,所提出的两层算法在算法效率和可扩展性方面表现良好。
更新日期:2020-10-27
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