Low-carbon economic dispatch based on improved ISODATA scenario reduction for wind power in IES

HUANG Yuangen

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Low-carbon economic dispatch based on improved ISODATA scenario reduction for wind power in IES

更新时间：2025-10-16

- Low-carbon economic dispatch based on improved ISODATA scenario reduction for wind power in IES
- Vol. 44, Issue 3, Pages: 170-178(2025)
- 作者机构：
  
  南京师范大学南瑞电气与自动化学院,江苏,南京,210023
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM73
- Published：2025
- 稿件说明：
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HUANG Yuangen. Low-carbon economic dispatch based on improved ISODATA scenario reduction for wind power in IES[J]. 2025, 44(3): 170-178.
DOI：

HUANG Yuangen. Low-carbon economic dispatch based on improved ISODATA scenario reduction for wind power in IES[J]. 2025, 44(3): 170-178. DOI：

摘要

随着风电并网规模的不断增长，其出力不确定性给综合能源系统（integrated energy system

IES）的稳定经济运行带来了巨大挑战。对此，文中提出基于改进风电场景削减算法的IES低碳经济调度方法。首先，采用改进的迭代自组织数据分析算法（iterative self-organizing data analysis technique algorithm

ISODATA）对大量历史风电场景进行聚类削减，克服传统聚类算法在聚类中心确定和数据内在特征考虑上的不足。然后，以改进阶梯碳价模型计算碳交易成本，针对含电转气-碳捕集（power to gas and carbon capture system

P2G-CCS）耦合设备的IES，建立以提升其经济性、低碳性为目标的IES优化调度模型。最后，仿真结果表明，该模型在保证系统低碳排放的同时可有效降低综合运行成本。

Abstract

As wind power integration increases

its unpredictability challenges the integrated energy system (IES). A low-carbon

economic dispatch method for IES using an enhanced wind power scenario reduction algorithm is introduced in this paper. It employs an improved iterative self-organizing data analysis technique algorithm (ISODATA) for clustering historical wind power scenarios

addressing the limitations of traditional clustering algorithms in determining cluster centers and analyzing inherent data features. Then

an integrated energy model is established and it optimized using an improved stepwise carbon trading and power to gas and carbon capture system (P2G-CCS) coupling model. Finally

an IES model is developed with the goals of improving economic efficiency

reducing carbon emissions. Simulation results demonstrate that this model reduces comprehensive operational costs while ensuring low carbon emissions in the system.

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