Weiqi Zhang , Chuanyu Sun , Mohammed Alharbi , Hany M. Hasanien , Kai Song
{"title":"配电网中存储和分布式发电逆变器负载侧电压-功率自协调控制系统","authors":"Weiqi Zhang , Chuanyu Sun , Mohammed Alharbi , Hany M. Hasanien , Kai Song","doi":"10.1016/j.asej.2025.103480","DOIUrl":null,"url":null,"abstract":"<div><div>The uncertainty of the load-side operating state and time-varying power demand in the AC distribution grid seriously affects the output mode configuration and sustainable storage and distributed generation inverters (SDGIs) security. To enhance the self-coordinated output capability and simplify the complexity of multi-mode control systems, this paper innovatively designs a voltage-power self-coordinated control system utilizing sliding mode control (SMC). Firstly, a power transmission model for typical SDGIs is established, and based on the analysis of output voltage characteristics under active and reactive power constraints, the virtual compensation voltage is proposed to construct a voltage-power self-coordinated control relationship. Next, the SMC strategy is practically applied to implement the functions of each module in the control system through skillful combination, and its stability is analyzed based on the characteristics of the SMC control law. Finally, multi-condition simulation and experimental verification are designed. The results indicate that compared to traditional robust control strategies, the proposed strategy achieves an average improvement of 2.19 % in the output power accuracy of the SDGI, reduces the average output voltage harmonic by 1.43 %, and exhibits an average response time of only 0.021 s for the self-coordinated transformation of the system output state during load-side power fluctuations, which is a reduction of 0.043 s on average. This effectively enhances the robustness of the SDGI and its output performance in response to power variation and voltage sag at the grid side.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 8","pages":"Article 103480"},"PeriodicalIF":6.0000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A voltage-power self-coordinated control system on the load-side of storage and distributed generation inverters in distribution grid\",\"authors\":\"Weiqi Zhang , Chuanyu Sun , Mohammed Alharbi , Hany M. Hasanien , Kai Song\",\"doi\":\"10.1016/j.asej.2025.103480\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The uncertainty of the load-side operating state and time-varying power demand in the AC distribution grid seriously affects the output mode configuration and sustainable storage and distributed generation inverters (SDGIs) security. To enhance the self-coordinated output capability and simplify the complexity of multi-mode control systems, this paper innovatively designs a voltage-power self-coordinated control system utilizing sliding mode control (SMC). Firstly, a power transmission model for typical SDGIs is established, and based on the analysis of output voltage characteristics under active and reactive power constraints, the virtual compensation voltage is proposed to construct a voltage-power self-coordinated control relationship. Next, the SMC strategy is practically applied to implement the functions of each module in the control system through skillful combination, and its stability is analyzed based on the characteristics of the SMC control law. Finally, multi-condition simulation and experimental verification are designed. The results indicate that compared to traditional robust control strategies, the proposed strategy achieves an average improvement of 2.19 % in the output power accuracy of the SDGI, reduces the average output voltage harmonic by 1.43 %, and exhibits an average response time of only 0.021 s for the self-coordinated transformation of the system output state during load-side power fluctuations, which is a reduction of 0.043 s on average. This effectively enhances the robustness of the SDGI and its output performance in response to power variation and voltage sag at the grid side.</div></div>\",\"PeriodicalId\":48648,\"journal\":{\"name\":\"Ain Shams Engineering Journal\",\"volume\":\"16 8\",\"pages\":\"Article 103480\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2025-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ain Shams Engineering Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2090447925002217\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2090447925002217","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
A voltage-power self-coordinated control system on the load-side of storage and distributed generation inverters in distribution grid
The uncertainty of the load-side operating state and time-varying power demand in the AC distribution grid seriously affects the output mode configuration and sustainable storage and distributed generation inverters (SDGIs) security. To enhance the self-coordinated output capability and simplify the complexity of multi-mode control systems, this paper innovatively designs a voltage-power self-coordinated control system utilizing sliding mode control (SMC). Firstly, a power transmission model for typical SDGIs is established, and based on the analysis of output voltage characteristics under active and reactive power constraints, the virtual compensation voltage is proposed to construct a voltage-power self-coordinated control relationship. Next, the SMC strategy is practically applied to implement the functions of each module in the control system through skillful combination, and its stability is analyzed based on the characteristics of the SMC control law. Finally, multi-condition simulation and experimental verification are designed. The results indicate that compared to traditional robust control strategies, the proposed strategy achieves an average improvement of 2.19 % in the output power accuracy of the SDGI, reduces the average output voltage harmonic by 1.43 %, and exhibits an average response time of only 0.021 s for the self-coordinated transformation of the system output state during load-side power fluctuations, which is a reduction of 0.043 s on average. This effectively enhances the robustness of the SDGI and its output performance in response to power variation and voltage sag at the grid side.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.