Data-driven based Coordinated Smart Inverter Control for Distributed Energy Resources

Wei Qiu, He Yin, Yuru Wu, Siqi Bu, C. Y. Chung, Byungkwon Park, Teja V. Kuruganti, Ajay P. Yadav, Yaosuo Xue, Wenxuan Yao, Yilu Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Smart inverters (SI) for distributed energy resources (DER) are becoming popular since they have the ability to stabilize as well as restore the voltage and frequency of power systems. Aiming at establishing the mathematical models combined with SI control methods, multiple optimization methods are developed. However, the computational complexity of solving such a mathematical model with various uncertainties limits the real-time application of the SI control. To conquer this challenge, a data-driven-based SI control approach is developed to achieve coordinated control in the high penetration DER system. First, an optimization problem for maximizing the active power generation and minimizing the power loss is designed using the Volt/VAR control. To reduce the time consumption, the recurrent neural network (RNN) is proposed to model the relationship between the uncertainties and control actions during the offline site. The RNN with different sub-structures such as the long short-term memory cell and gated recurrent unit cell are included to enrich the diversity of features. In the last stage, different experiment comparisons, including multiple uncertainties maps and state-of-art machine learning methods, are conducted to verify the effectiveness of the proposed method based on the IEEE 123 bus power system. The results demonstrate that the proposed method can effectively achieve a rapid and coordinated control with a lower error rate.

Original languageEnglish
Title of host publicationIET Conference Proceedings
PublisherInstitution of Engineering and Technology
Number of pages5
ISBN (Electronic)9781839537042, 9781839537059, 9781839537189, 9781839537196, 9781839537424, 9781839537615, 9781839537769, 9781839537769, 9781839537776, 9781839537813, 9781839537820, 9781839537837, 9781839537868, 9781839537882, 9781839537899, 9781839537998, 9781839538063, 9781839538179, 9781839538186, 9781839538322, 9781839538391, 9781839538445, 9781839538476, 9781839538513, 9781839538544
Publication statusPublished - 2022
Event12th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2022 - Hong Kong, Virtual, China
Duration: 7 Nov 20229 Nov 2022


Conference12th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2022
CityHong Kong, Virtual


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ASJC Scopus subject areas

  • General Engineering


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