Distributed MPC-Based Voltage Control for Active Distribution Networks Considering Uncertainty of Distributed Energy Resources

被引：4

作者：

Ma, Chao ^{[1
]}

Xiong, Wenjie ^{[2
]}

Tang, Zhiyuan ^{[2
]}

Li, Ziwei ^{[1
]}

Xiong, Yonghua ^{[1
]}

Wang, Qibo ^{[1
]}

机构：

[1] State Grid Sichuan Comprehens Energy Serv Co Ltd, Chengdu 610031, Peoples R China

[2] Sichuan Univ, Coll Elect Engn, Chengdu 610041, Peoples R China

来源：

ELECTRONICS | 2024年 / 13卷 / 14期

关键词：

distributed stochastic model predictive control; operation scenarios; prediction error model; uncertainty of DERs; voltage control; MODEL-PREDICTIVE CONTROL; STORAGE; OLTC; OPTIMIZATION; MANAGEMENT; DISPATCH;

D O I：

10.3390/electronics13142748

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Due to the uncertainty of distributed energy resources (DERs), the effectiveness of voltage control in distribution networks faces significant challenges. Aiming at this problem, a novel distributed stochastic model predictive control (DSMPC) scheme was proposed in this paper to achieve voltage regulation considering the uncertainty of DERs. In the proposed control scheme, based on the photovoltaic (PV) prediction error model, multiple operation scenarios are selected to characterize the uncertainty of PV generation. Then, based on these selected scenarios, a DSMPC approach is developed to minimize the cost of control actions by coordinating the PV inverters and battery energy storage systems. Simulation involving the modified IEEE 34-bus verified that the proposed method can work effectively under the uncertainty of DERs and achieves a comparable control performance with a well-designed centralized controller.

引用

页数：15

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