Optimal control method of distributed PV considering model errors in distribution network

被引：0
|
作者：
Dou X. [1 ]
Cai C. [2 ]
Duan X. [1 ]
Han J. [2 ]
Liu Z. [1 ]
Chen X. [2 ]
机构：
[1] School of Electrical Engineering, Southeast University, Nanjing
[2] State Grid Economic Research Institute of China Electric Power Research Institute, Nanjing
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2019年 / 39卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Approximate sensitivity; Assistant decision; Distributed PV; Distribution network; ELM; Optimal control;
D O I：
10.16081/j.epae.201911002
中图分类号：
学科分类号：
摘要：
At present, the information collection is incomplete and the on-line accurate grid model is inaccessibility in distribution network, which leads to error of distributed PV(PhotoVoltaic) control and makes it difficult to meet the requirement of the safe operation for distribution network. Thus, an optimal control method of distributed PV considering model errors in distribution network is proposed. A rough calculation model of PV control based on approximate sensitivity is built. Meanwhile, the artificial intelligence assistant decision model is established adopting ELM(Extreme Learning Machine) method as a modification of the rough calculation model for PV control. Based on the above two models, the optimal control strategy of distributed PV considering model errors in distribution network is designed. Finally, the simulative results show that the proposed control method makes up the errors caused by the optimization only relying on grid model, and improves the accuracy of the optimal control. © 2019, Electric Power Automation Equipment Press. All right reserved.
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页码：41 / 48
页数：7
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