考虑风电功率序列时间相关性的电力系统动态经济调度

LIU Ji

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考虑风电功率序列时间相关性的电力系统动态经济调度

更新时间：2025-08-13

- 考虑风电功率序列时间相关性的电力系统动态经济调度
- Automation of Electric Power Systems Vol. 43, Issue 3, Pages: 43-50(2019)
- 作者机构：
  
  武汉大学电气工程学院,湖北省,武汉市,430072
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2019
- 稿件说明：
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LIU Ji. [J]. Automation of electric power systems, 2019, 43(3): 43-50.
DOI：

LIU Ji. [J]. Automation of electric power systems, 2019, 43(3): 43-50. DOI：

摘要

随着高比例可再生能源大规模接入电力系统

其不确定性对经济调度带来了巨大的挑战。针对含风电电力系统经济调度问题

提出了考虑风电功率序列时间相关性的数据筛选方法

并利用versatile-copula分布实现风电功率序列时间相关性建模

以此为基础提出了考虑随机变量相关性的机会约束与风电成本高低估代价计算方法

建立了考虑风电功率序列时间相关性的动态经济调度模型。通过对目标函数和约束条件的转化与分析

将随机优化模型转化为线性约束问题

并利用逐次线性化算法实现准确求解。最后

在含风电的IEEE-30节点和IEEE-118节点算例系统中进行仿真计算

验证了所提考虑风电功率序列时间相关性的调度方法在数据筛选、拟合精度、经济性等方面的有效性。

Abstract

With large-scale integration of renewable energy to power system

its uncertainty has brought great challenges to economic dispatching. To solve this problem

a data classification method for modeling temporal correlation of wind power is put forward

and the versatile-copula distribution is applied to describe the correlation. On the basis of those improvements

the chance constrains and over／under estimation punishment model are presented

and a stochastic optimization model of minimizing generating cost is given in the meantime. After that

through conversions of objective functions and constraints

the stochastic optimization model is transformed into a linear convex problem

and the successive linearization program is applied to solve it accurately. Finally

case study is carried out in modified IEEE-30 bus and IEEE-118 bus system

which verifies the effectiveness of the proposed scheduling method in terms of fitting accuracy and generating cost.

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