Multi-time scale optimal control method of reactive power and voltage based on model predictive control

XIA Peng; LIU Wenying; ZHU DANDan; WANG Ningbo; HUA Xia

doi:10.16081/j.issn.1006-6047.2019.03.010

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Multi-time scale optimal control method of reactive power and voltage based on model predictive control

更新时间：2025-04-25

- Multi-time scale optimal control method of reactive power and voltage based on model predictive control
- Vol. 39, Issue 3, Pages: 64-70(2019)
- 作者机构：
  
  1. 华北电力大学新能源电力系统国家重点实验室
  2. 国网甘肃省电力公司
- 作者简介：
- 基金信息：
- DOI：10.16081/j.issn.1006-6047.2019.03.010
  CLC： TM714.3
- Published：2019
- 稿件说明：
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[1]夏鹏,刘文颖,朱丹丹,汪宁渤,华夏.基于模型预测控制的多时间尺度无功电压优化控制方法[J].电力自动化设备,2019,39(03):64-70.

XIA Peng, LIU Wenying, ZHU DANDan, et al. Multi-time scale optimal control method of reactive power and voltage based on model predictive control[J]. 2019, 39(3): 64-70.
[1]夏鹏,刘文颖,朱丹丹,汪宁渤,华夏.基于模型预测控制的多时间尺度无功电压优化控制方法[J].电力自动化设备,2019,39(03):64-70. DOI： 10.16081/j.issn.1006-6047.2019.03.010.

XIA Peng, LIU Wenying, ZHU DANDan, et al. Multi-time scale optimal control method of reactive power and voltage based on model predictive control[J]. 2019, 39(3): 64-70. DOI： 10.16081/j.issn.1006-6047.2019.03.010.

摘要

针对高比例风电接入下电网电压快速、频繁波动的问题

提出了基于模型预测控制（MPC）的多时间尺度电网无功电压优化控制方法。在日前优化安排离散无功补偿设备的基础上

日内采用基于MPC的滚动优化及校正控制思路

利用连续无功补偿装置对电压进行控制。首先

建立基于灵敏度的电网电压预测模型

预测得到未来多个时刻的电网电压运行状态;然后

以未来多个时刻的电网电压预计控制偏差最小为优化目标

建立日内滚动优化控制模型

求解得到连续无功补偿装置的无功控制计划

并通过电压控制偏差校正

完成日内无功电压模型预测控制;最后

以我国"三北"地区某风电场集群为例进行仿真计算

通过与传统电压控制方法进行对比

验证所提方法在提高电压控制水平方面的可行性和有效性。

Abstract

Aiming at the problem of rapid and frequent fluctuation of grid voltage under high proportion wind power interconnection

a multi-time scale optimal control method of reactive power and voltage based on MPC（Model Predictive Control） is proposed. Based on the day-ahead optimal arrangement of discrete reactive power compensation equipment

the voltage is controlled by continuous reactive power compensation equipment within the intra-day time scale

which adopts the idea of rolling optimization and correcting control based on MPC. Firstly

the grid voltage foresting model based on sensitivity is established to forecast the voltage states at multiple future moments. Then

the intra-day rolling optimization model is built with the minimum expected voltage control deviation at multiple future moments as its optimization objective

based on which

the reactive power control planning of continuous reactive power compensation equipment is obtained. The intra-day MPC of reactive power and voltage is realized by correcting the voltage control deviation. Finally

a wind power cluster system in "three northern"regions of China is taken as the example

whose simulative results verify the feasibility and effectiveness of the proposed method in improving the voltage control level by comparing with the traditional voltage control method.

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