电力系统多级负荷预测及其协调问题（三）关联协调模型

MU Tao; KANG Chongqing; XIA Qing; John N. JIANG; LIU Mei

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电力系统多级负荷预测及其协调问题（三）关联协调模型

更新时间：2025-08-13

- 电力系统多级负荷预测及其协调问题（三）关联协调模型
- Automation of Electric Power Systems Vol. 32, Issue 9, Pages: 20-24(2008)
- 作者机构：
  
  1. 清华大学电机系电力系统国家重点实验室,北京市,100084
  2. 俄克拉荷马大学电气与计算机工程学院，美国俄克拉荷马州诺曼城,73019
- 作者简介：
- 基金信息：
- DOI：
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- Published：2008
- 稿件说明：
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MU Tao, KANG Chongqing, XIA Qing, et al. [J]. Automation of electric power systems, 2008, 32(9): 20-24.
DOI：

MU Tao, KANG Chongqing, XIA Qing, et al. [J]. Automation of electric power systems, 2008, 32(9): 20-24. DOI：

摘要

考虑到多级负荷预测协调的关联特性，将多级负荷预测的基本协调模型扩展为多维多级。首先针对典型的2维2级协调问题，建立了关联协调的标量模型和矩阵模型，并提出了相应的关联协调方法。引入了不平衡向量和调整系数矩阵的新概念，从而阐明了2维2级关联协调方法的物理机理。为便于比较不同协调方法的协调效果，文中继承和扩展了基本协调模型的评价标准，提出了关联协调模型的单项评价指标和综合评价标准。最后，通过实例验证了关联协调模型的协调效果。

Abstract

Taking the correlation characteristic of multilevel load forecasting and coordinating into account， the basic coordinating model of multilevel load forecasting is developed to correlative coordinating model. The scalar model and matrix model are both established to solve the typical two-dimensional two-level coordination problem. The mechanism of this correlative coordinating model is illuminated with the new concepts of unbalance vector and adjustment coefficients matrix. In order to compare the effects of different coordinating methods， the evaluation indices of correlative coordinating model， which are the inheritance and expansion of the evaluation criteria of basic coordination model， are put forward. Applications of the model are illustrated with numerical examples.

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