Research on Day Ahead Dynamic Reactive Power Optimization Based on Generator Operation

Bin LU; Shan GAO; Desheng LI

doi:10.12096/j.2096-4528.pgt.20046

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Research on Day Ahead Dynamic Reactive Power Optimization Based on Generator Operation

Power System Planning | 更新时间：2025-07-04

- Research on Day Ahead Dynamic Reactive Power Optimization Based on Generator Operation
- Power Generation Technology Vol. 42, Issue 1, Pages: 122-130(2021)
- 作者机构：
  
  1.万帮数字能源股份有限公司, 江苏省常州市 213164
  2.东南大学电气工程学院, 江苏省南京市 210096
- 作者简介：
- 基金信息：
- DOI：10.12096/j.2096-4528.pgt.20046
  CLC： TM74
- Received：24 June 2020，
  
  Published：28 February 2021
- 稿件说明：
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Bin LU, Shan GAO, Desheng LI. Research on Day Ahead Dynamic Reactive Power Optimization Based on Generator Operation[J]. Power Generation Technology, 2021, 42(1): 122-130.
DOI：

Bin LU, Shan GAO, Desheng LI. Research on Day Ahead Dynamic Reactive Power Optimization Based on Generator Operation[J]. Power Generation Technology, 2021, 42(1): 122-130. DOI： 10.12096/j.2096-4528.pgt.20046.

摘要

为了解决日前动态无功优化中发电机安全运行极限以及控制设备动作次数约束取值的电力系统调度实际问题，根据发电机运行的极限输出范围，把发电机运行的区域划分为3个区，并建立分段PQ数学模型，将日前全天负荷分为24个时段，并对有载调压变压器和并联电容器组联动次数加以限制，建立完整的非线性混合整数动态无功优化模型。仿真结果表明：尤其在发电机进相运行时，所提出数学模型能有效调节发电机的出力，符合机组运行的实际状况；提高控制设备动作次数可减少全网有功功率损耗，但同时频繁的操作会大大提高设备的故障概率，有必要在网损可信接受的范围内寻找合适的联动次数约束值，节约电网实际运行的综合成本，保障电网经济、安全运行。

Abstract

In order to solve the practical problem of 24-hours dynamic reactive power optimization in power system dispatching

this paper divided generator's operation into three regions in PQ mathematical model

according to the limit output range of generator's operation. Moreover

the action times of discrete control equipment were taken as global inequality constraints

and a complete 24-hours non-linear mixed integer dynamic reactive power optimization mathematical model was established. The simulation results show that the mathematical model in this paper can adjust the output of generators according to the actual situation effectively when the generators are in phase-leading operation. In addition

increasing the number of control equipment's action can reduce the loss of active power in the whole network

but at the same time

the frequent operation will greatly increase the probability of failure of equipment. It is necessary for us to find the appropriate constraints of the action number within the range of reliable acceptance of network losses

so as to save the comprehensive cost of the actual power grid operation.

关键词

Keywords

references

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