Data-driven optimal dispatching method for regional integrated energy system

陈忠华; 徐 强; 黄 帅; 陈贤卿

doi:10.3969/j.issn.1009-1831.2022.02.006

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Data-driven optimal dispatching method for regional integrated energy system

更新时间：2026-03-05

- Data-driven optimal dispatching method for regional integrated energy system
- Vol. 24, Issue 2, (2022)
- 作者机构：
  
  1. 杭州市电力设计院有限公司,杭州,310014
  2. 国网浙江省电力有限公司杭州供电公司,杭州,310000
  3. 浙江大学电气工程学院,杭州,310027
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2022.02.006
  CLC：
- Published：2022
- 稿件说明：
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陈忠华, 徐强, 黄帅, et al. Data-driven optimal dispatching method for regional integrated energy system[J]. 2022, 24(2).
DOI：

陈忠华, 徐强, 黄帅, et al. Data-driven optimal dispatching method for regional integrated energy system[J]. 2022, 24(2). DOI： 10.3969/j.issn.1009-1831.2022.02.006.

摘要

针对目前园区综合能源系统管理中分布式本地可再生能源利用率低、用户侧购电成本高、源-储-荷协调不充分等现实问题，提出了数据驱动的实时调度决策方法和模型。该混合模型首先基于大量用能数据，应用K-means 算法对其特性指标与时间序列特征进行聚类分析，得出具有代表性的用能模式。然后引入参数化模糊推理系统与启发式优化算法，依据代表样本对模糊逻辑推理规则进行自趋优设计，从而得出实现园区综合能源系统经济化调度的实时控制模型。再通过实际数据集仿真计算验证了所提出方法和模型的有效性。

Abstract

Aiming at the practical problems of low self -sufficient renewable energy utilization

high power purchase cost and in-adequate source -storage -charge coordination in the current energy management of active integrated energy systems

a data-driven real-time dispatching decision model is proposed. The hybrid model is firstly based on a large amount of energy consumption data for its characteristic indicators and time series characteristics

and the K -means algorithm is used for cluster analysis to obtain a representative typical energy consumption pattern. Then the parametric fuzzy inference system combined with the heuristic optimization algorithm is introduced

and the fuzzy logic inference rules are self-optimized based on the representative samples to obtain a real-time control model for the economical scheduling of energy - using systems.In the simulation calculation through the actual data set

the validity and feasibility of the model are verified.

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