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考虑储能电站服务的冷热电多微网系统优化经济调度
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国网江苏省电力有限公司电力科学研究院, 江苏省南京市 211103

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基金项目:

国家电网公司总部科技项目“客户侧分布式储能柔性协调控制与联合运行关键技术研究”


Optimal Economic Scheduling for Multi-microgrid System with Combined Cooling, Heating and Power Considering Service of Energy Storage Station
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Electric Power Research Institute of State Grid Jiangsu Electric Power Co. Ltd., Nanjing 211103, China

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    摘要:

    提出一种考虑储能电站服务的冷热电多微网系统日前优化调度方法。首先提出在多微网系统建立公共储能电站,并给出用户侧储能电站服务模式;然后将储能电站服务应用到冷热电联供型多微网系统优化调度,通过协调微网与储能电站间的交互功率,实现微网内冷热电负荷功率平衡和运行经济成本最优;最后以典型场景为例,对冷热电联供型多微网系统在3种运行方式下进行经济优化调度分析。结果表明,所提冷热电多微网系统优化调度方法可以充分发挥公用储能电站的充放电灵活性,实现微网多余电能的时域转移和可再生能源发电的100%消纳,并降低多微网系统的运行成本。

    Abstract:

    A day-ahead optimal scheduling method for combined cooling heating and power(CCHP)multi-microgrid system considering energy storage station service is proposed. Firstly, the public energy storage station is built in the multi-microgrid system, and the service mode for the energy storage station on the user side is proposed. Then, the energy storage station service is applied to the optimal economic schedule of CCHP multi-microgrid system. The power balance and operation cost of the cooling load, heating load and power load in microgrids are optimized by coordinating the interactive power between energy storage station and microgrids. Finally, three operation modes of CCHP multi-microgrid system under the typical scenarios are carried out to analyze the optimal economic scheduling. Numerical studies demonstrate that the proposed optimal scheduling method can effectively improve the operation flexibility of the public energy storage station, realize time-domain transfer of the excess energy of microgrids and consume the renewable energy generation by 100%, while reduce the operation costs of CCHP multi-microgrid system.

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引用本文

吴盛军,刘建坤,周前,等.考虑储能电站服务的冷热电多微网系统优化经济调度[J].电力系统自动化,2019,43(10):10-18. DOI:10.7500/AEPS20181024001.
WU Shengjun, LIU Jiankun, ZHOU Qian,et al.Optimal Economic Scheduling for Multi-microgrid System with Combined Cooling, Heating and Power Considering Service of Energy Storage Station[J].Automation of Electric Power Systems,2019,43(10):10-18. DOI:10.7500/AEPS20181024001.

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  • 收稿日期:2018-10-24
  • 最后修改日期:2019-02-17
  • 录用日期:2019-01-07
  • 在线发布日期: 2019-02-19
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