基于IGDT的含广义储能的独立直流微网日前优化调度
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TM732

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国家自然科学基金资助项目(51877152)


Day-ahead optimal scheduling of independent DC microgrid with generalized energy storage based on IGDT
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    摘要:

    微电网的能量管理与优化调度作为构建新型电力系统的重要环节,提高其可再生能源的消纳水平、降低源荷不确定性风险以及优化系统运行成本具有重要意义。因此,文中提出一种基于信息间隙决策理论(information gap decision theory,IGDT)的含广义储能的独立直流微电网日前优化调度模型。首先,构建含超级电容的混合储能系统,以降低蓄电池运行成本,将具备虚拟储能特性的柔性负荷与混合储能相结合,形成广义储能,充分发挥微电网系统内灵活性资源特性;其次,考虑系统风光荷不确定性,引入IGDT模型,在确定性模型基础上建立风险规避策略下的鲁棒模型和风险投机策略下的机会模型,从2种决策角度追求降低风险与最大化收益;最后,基于算例仿真分析,证明该调度策略在降低微电网运行成本的基础上可量化不确定性因素对系统调度决策的影响,验证了模型的有效性和可参考性。

    Abstract:

    Energy management and optimal scheduling of microgrid play importent roles in the construction of new power system. It is of great significance to study how to improve the consumption level of renewable energy,and reduce the uncertainty risk of source and load,and optimize the system operation cost. In view of this paper,a day-ahead optimal scheduling model of independent DC microgrid with generalized energy storage based on information gap decision theory (IGDT) is proposed. Firstly,a hybrid energy storage system with super-capacitor is constructed to reduce the operating cost of batteries. The flexible load with the characteristics of 'virtual energy storage' is combined with the hybrid energy storage to form generalized energy storage,giving full play to the characteristics of flexible resources in the microgrid system. Secondly,the uncertainty of the system is considered,and the IGDT model is introduced to establish the robust model under the risk aversion strategy and the opportunity model under the risk speculation strategy based on the deterministic model,so as to pursue the maximization of risk reduction and returns from two decision-making perspectives. Finally,through the simulation analysis of an example,the influence of uncertain factors on system scheduling decision is quantified on the basis of reducing the operating cost of microgrid,and the validity and reference of the model are verified.

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张超,马幼捷,周雪松,王才巍,何晓宇.基于IGDT的含广义储能的独立直流微网日前优化调度[J].电力工程技术,2024,43(1):50-59

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  • 收稿日期:2023-08-25
  • 最后修改日期:2023-11-16
  • 录用日期:2022-09-19
  • 在线发布日期: 2024-01-19
  • 出版日期: 2024-01-28
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