计及可调节负荷时空异步响应的园区微电网群低碳经济运行
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1.国网江苏省电力有限公司;2.国网江苏省电力有限公司营销服务中心;3.国网(苏州)城市能源研究院有限责任公司

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国网江苏省电力有限公司科技项目(项目号:J2025112)


Low-Carbon and economic dispatch of a cluster of park microgrids considering the spatiotemporal asyn-chronous response of flexible loads
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    摘要:

    针对多园区微电网协同运行中可调节负荷实际响应存在时间滞后和园区间差异的问题,提出了一种计及可调节负荷时空异步响应的低碳经济运行方法。首先,构建含风电、光伏、储能、燃气轮机及可调节负荷的多园区微电网群协同运行模型;其次,将可调节负荷划分为时移、可转移和可削减负荷,并采用随机变量表征其实际响应时滞特性;在此基础上,结合园区间功率交互、电网购售电和碳交易机制,建立多园区微电网群低碳经济优化模型;最后,基于3个园区的算例进行仿真分析。算例结果表明,所提方法能够有效提升新能源消纳水平与园区间能量互济能力,降低系统购电成本、储能运行成本和燃气轮机运行成本。与未考虑可调节负荷时空异步响应的方案相比,系统综合运行成本降低8.18%,碳排放进一步减少。

    Abstract:

    To address the issues of time delay in the actual response of adjustable loads and inter-park differences in the coordinated dispatch of multi-park microgrids, propose a low-carbon economic dispatch method considering the spatiotemporal asynchronous response of adjustable loads. First, a coordinated dispatch model for a cluster of multi-park microgrids is constructed, including wind power, photovoltaic generation, energy storage, gas turbines, and adjustable loads. Next, the adjustable loads are classified into shiftable loads, transferable loads, and curtailable loads, and stochastic variables are used to characterize their actual response delay characteristics. On this basis, by incorporating inter-park power interaction, electricity purchasing and selling with the main grid, and the carbon trading mechanism, a low-carbon economic optimization model for the multi-park microgrid cluster is established. Finally, simulation analysis is carried out based on a case study of three parks. The results show that the proposed method can effectively improve renewable energy accommodation and inter-park energy mutual support capability, while reducing the system electricity purchasing cost, energy storage operation cost, and gas turbine operation cost. Compared with the scheme that does not consider the spatiotemporal asynchronous response of adjustable loads, the proposed method reduces the overall system operating cost by 8.18% and further decreases carbon emissions.

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  • 收稿日期:2026-05-19
  • 最后修改日期:2026-06-10
  • 录用日期:2026-08-21
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