基于模糊机会约束规划的电力系统网架重构优化

ZHANG Xueli

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基于模糊机会约束规划的电力系统网架重构优化

更新时间：2025-08-13

- 基于模糊机会约束规划的电力系统网架重构优化
- Automation of Electric Power Systems Vol. 39, Issue 14, Pages: 68-74(2015)
- 作者机构：
  
  华北电力大学电气与电子工程学院,河北省,保定市,071003
- 作者简介：
- 基金信息：
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- Published：2015
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ZHANG Xueli. [J]. Automation of electric power systems, 2015, 39(14): 68-74.
DOI：

ZHANG Xueli. [J]. Automation of electric power systems, 2015, 39(14): 68-74. DOI：

摘要

针对电力系统大停电后网架重构阶段线路投运时其操作时间和恢复可靠性的不确定性

运用模糊机会约束规划理论

建立了基于模糊机会约束的网架重构优化模型。将线路操作时间和恢复可靠性分别用三角模糊变量表示

并定义了评价目标网架性能的恢复可靠性指标

在模糊机会约束的框架下

确保机组在其启动时限内成功获得启动电源的可能性不低于一定的置信水平

在此基础上优化得到在尽可能短的重构时间内达到恢复可靠性最高的网架。采用模糊模拟、交叉粒子群优化算法与Dijkstra算法相结合的求解方法对目标网架进行寻优。最后

以IEEE 30节点系统和云南电网的部分区域作为算例验证了该方法的有效性。

Abstract

In view of the uncertainty of operating time and recovery reliability of lines put into operation during network reconstruction after blackout

a fuzzy chance constrained model of optimization of power network reconfiguration is proposed based on the fuzzy chance constrained programming theory. Triangular fuzzy variables are used to represent the line’s operating time and recovery reliability

and the recovery reliability index is defined to evaluate the objective network. The target is to ensure that the possibility of a unit’s restoration in its start-up time requirements is no less than a certain level of confidence

and to obtain the optimized network that reaches the highest reliability in a shortest possible time. The fuzzy simulation based cross particle swarm optimization is used to optimize the node restoration sequence

and the Dijkstra algorithm is combined to choose the restoration path. Finally

the effectiveness of the proposed method is validated by an IEEE 30-node system and part of Yunnan power system. This work is supported by National Natural Science Foundation of China (No. 51277076).

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