Optimized design of voltage control rules for distributed energy sources at substation inverter interfaces

[1]Perez, R., Vásquez, C., & Viloria, A. (2019). An intelligent strategy for faults location in distribution networks with distributed generation. Journal of Intelligent & Fuzzy Systems, 36(2), 1627-1637. PerezR., VásquezC. & ViloriaA. (2019). An intelligent strategy for faults location in distribution networks with distributed generation. Journal of Intelligent & Fuzzy Systems, 36(2), 1627-1637.Search in Google Scholar

[2]Antoniadou-Plytaria, K. E., Kouveliotis-Lysikatos, I. N., Georgilakis, P. S., & Hatziargyriou, N. D. (2017). Distributed and decentralized voltage control of smart distribution networks: Models, methods, and future research. IEEE Transactions on smart grid, 8(6), 2999-3008. Antoniadou-PlytariaK. E., Kouveliotis-LysikatosI. N., GeorgilakisP. S. & HatziargyriouN. D. (2017). Distributed and decentralized voltage control of smart distribution networks: Models, methods, and future research. IEEE Transactions on smart grid, 8(6), 2999-3008.Search in Google Scholar

[3]Barja-Martinez, S., Aragüés-Peñalba, M., Munné-Collado, Í., Lloret-Gallego, P., Bullich-Massagué, E., & Villafafila-Robles, R. (2021). Artificial intelligence techniques for enabling Big Data services in distribution networks: A review. Renewable and Sustainable Energy Reviews, 150, 111459. Barja-MartinezS., Aragüés-PeñalbaM., Munné-ColladoÍ., Lloret-GallegoP., Bullich-MassaguéE. & Villafafila-RoblesR. (2021). Artificial intelligence techniques for enabling Big Data services in distribution networks: A review. Renewable and Sustainable Energy Reviews, 150, 111459.Search in Google Scholar

[4]Fetouh, T., & Elsayed, A. M. (2020). Optimal control and operation of fully automated distribution networks using improved tunicate swarm intelligent algorithm. IEEE Access, 8, 129689-129708. FetouhT. & ElsayedA. M. (2020). Optimal control and operation of fully automated distribution networks using improved tunicate swarm intelligent algorithm. IEEE Access, 8, 129689-129708.Search in Google Scholar

[5]He, Y., Chen, Y., Yang, Z., Liu, L., & He, H. (2018). A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment. Protection and Control of Modern Power Systems, 3(2), 1-11. HeY., ChenY., YangZ., LiuL. & HeH. (2018). A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment. Protection and Control of Modern Power Systems, 3(2), 1-11.Search in Google Scholar

[6]Ge, L., Du, T., Li, C., Li, Y., Yan, J., & Rafiq, M. U. (2022). Virtual collection for distributed photovoltaic data: Challenges, methodologies, and applications. Energies, 15(23), 8783. GeL., DuT., LiC., LiY., YanJ. & RafiqM. U. (2022). Virtual collection for distributed photovoltaic data: Challenges, methodologies, and applications. Energies, 15(23), 8783.Search in Google Scholar

[7]Jiang, S., Wan, C., Chen, C., Cao, E., & Song, Y. (2018). Distributed photovoltaic generation in the electricity market: status, mode and strategy. CSEE Journal of Power and Energy Systems, 4(3), 263-272. JiangS., WanC., ChenC., CaoE. & SongY. (2018). Distributed photovoltaic generation in the electricity market: status, mode and strategy. CSEE Journal of Power and Energy Systems, 4(3), 263-272.Search in Google Scholar

[8]Bhatt, P. K., & Kaushik, R. (2021, December). Intelligent Transformer Tap Controller for Harmonic Elimination in Hybrid Distribution Network. In 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 219-225). IEEE. BhattP. K. & KaushikR. (2021, December). Intelligent Transformer Tap Controller for Harmonic Elimination in Hybrid Distribution Network. In 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 219-225). IEEE.Search in Google Scholar

[9]Gil, G. M. V., Cunha, R. B. A., Di Santo, S. G., Monaro, R. M., Costa, F. F., & Sguarezi Filho, A. J. (2020). Photovoltaic energy in South America: Current state and grid regulation for large-scale and distributed photovoltaic systems. Renewable Energy, 162, 1307-1320. GilG. M. V., CunhaR. B. A., Di SantoS. G., MonaroR. M., CostaF. F. & Sguarezi FilhoA. J. (2020). Photovoltaic energy in South America: Current state and grid regulation for large-scale and distributed photovoltaic systems. Renewable Energy, 162, 1307-1320.Search in Google Scholar

[10]Xin-gang, Z., & Zhen, W. (2019). Technology, cost, economic performance of distributed photovoltaic industry in China. Renewable and Sustainable Energy Reviews, 110, 53-64. Xin-gangZ. & ZhenW. (2019). Technology, cost, economic performance of distributed photovoltaic industry in China. Renewable and Sustainable Energy Reviews, 110, 53-64.Search in Google Scholar

[11]Marín-Quintero, J., Orozco-Henao, C., Percybrooks, W. S., Vélez, J. C., Montoya, O. D., & Gil-González, W. (2021). Toward an adaptive protection scheme in active distribution networks: Intelligent approach fault detector. Applied Soft Computing, 98, 106839. Marín-QuinteroJ., Orozco-HenaoC., PercybrooksW. S., VélezJ. C., MontoyaO. D. & Gil-GonzálezW. (2021). Toward an adaptive protection scheme in active distribution networks: Intelligent approach fault detector. Applied Soft Computing, 98, 106839.Search in Google Scholar

[12]Liu, H. J., Shi, W., & Zhu, H. (2017). Distributed voltage control in distribution networks: Online and robust implementations. IEEE Transactions on Smart Grid, 9(6), 6106-6117. LiuH. J., ShiW. & ZhuH. (2017). Distributed voltage control in distribution networks: Online and robust implementations. IEEE Transactions on Smart Grid, 9(6), 6106-6117.Search in Google Scholar

[13]Jain, P., Poon, J., Singh, J. P., Spanos, C., Sanders, S. R., & Panda, S. K. (2019). A digital twin approach for fault diagnosis in distributed photovoltaic systems. IEEE Transactions on Power Electronics, 35(1), 940-956. JainP., PoonJ., SinghJ. P., SpanosC., SandersS. R. & PandaS. K. (2019). A digital twin approach for fault diagnosis in distributed photovoltaic systems. IEEE Transactions on Power Electronics, 35(1), 940-956.Search in Google Scholar

[14]Karthikeyan, N., Pokhrel, B. R., Pillai, J. R., & Bak-Jensen, B. (2017, September). Coordinated voltage control of distributed PV inverters for voltage regulation in low voltage distribution networks. In 2017 IEEE PES innovative smart grid technologies conference Europe (ISGT-Europe) (pp. 1-6). IEEE. KarthikeyanN., PokhrelB. R., PillaiJ. R. & Bak-JensenB. (2017, September). Coordinated voltage control of distributed PV inverters for voltage regulation in low voltage distribution networks. In 2017 IEEE PES innovative smart grid technologies conference Europe (ISGT-Europe) (pp. 1-6). IEEE.Search in Google Scholar

[15]Chai, Y., Guo, L., Wang, C., Zhao, Z., Du, X., & Pan, J. (2018). Network partition and voltage coordination control for distribution networks with high penetration of distributed PV units. IEEE Transactions on Power Systems, 33(3), 3396-3407. ChaiY., GuoL., WangC., ZhaoZ., DuX. & PanJ. (2018). Network partition and voltage coordination control for distribution networks with high penetration of distributed PV units. IEEE Transactions on Power Systems, 33(3), 3396-3407.Search in Google Scholar

[16]Howlader, A. M., Sadoyama, S., Roose, L. R., & Sepasi, S. (2017, December). Distributed voltage control method using Volt-Var control curve of photovoltaic inverter for a smart power grid system. In 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS) (pp. 630-634). IEEE. HowladerA. M., SadoyamaS., RooseL. R. & SepasiS. (2017, December). Distributed voltage control method using Volt-Var control curve of photovoltaic inverter for a smart power grid system. In 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS) (pp. 630-634). IEEE.Search in Google Scholar

[17]Ding, F., & Mather, B. (2016). On distributed PV hosting capacity estimation, sensitivity study, and improvement. IEEE Transactions on Sustainable Energy, 8(3), 1010-1020. DingF. & MatherB. (2016). On distributed PV hosting capacity estimation, sensitivity study, and improvement. IEEE Transactions on Sustainable Energy, 8(3), 1010-1020.Search in Google Scholar

[18]Cavraro, G., & Carli, R. (2017). Local and distributed voltage control algorithms in distribution networks. IEEE Transactions on Power Systems, 33(2), 1420-1430. CavraroG. & CarliR. (2017). Local and distributed voltage control algorithms in distribution networks. IEEE Transactions on Power Systems, 33(2), 1420-1430.Search in Google Scholar

[19]Fan, S., Liang, W., Wang, G., Zhang, Y., & Cao, S. (2022). A novel water-free cleaning robot for dust removal from distributed photovoltaic (PV) in water-scarce areas. Solar Energy, 241, 553-563. FanS., LiangW., WangG., ZhangY. & CaoS. (2022). A novel water-free cleaning robot for dust removal from distributed photovoltaic (PV) in water-scarce areas. Solar Energy, 241, 553-563.Search in Google Scholar

[20]Varma, R. K., & Siavashi, E. M. (2018). PV-STATCOM: A new smart inverter for voltage control in distribution systems. IEEE Transactions on Sustainable Energy, 9(4), 1681-1691. VarmaR. K. & SiavashiE. M. (2018). PV-STATCOM: A new smart inverter for voltage control in distribution systems. IEEE Transactions on Sustainable Energy, 9(4), 1681-1691.Search in Google Scholar

[21]Zhang, W. H., Chou, L. C., & Chen, M. (2022). Consumer perception and use intention for household distributed photovoltaic systems. Sustainable Energy Technologies and Assessments, 51, 101895. ZhangW. H., ChouL. C. & ChenM. (2022). Consumer perception and use intention for household distributed photovoltaic systems. Sustainable Energy Technologies and Assessments, 51, 101895.Search in Google Scholar

[22]Howlader, A. M., Sadoyama, S., Roose, L. R., & Sepasi, S. (2018). Distributed voltage regulation using Volt-Var controls of a smart PV inverter in a smart grid: An experimental study. Renewable Energy, 127, 145-157. HowladerA. M., SadoyamaS., RooseL. R. & SepasiS. (2018). Distributed voltage regulation using Volt-Var controls of a smart PV inverter in a smart grid: An experimental study. Renewable Energy, 127, 145-157.Search in Google Scholar

[23]Kashani, M. G., Bhattacharya, S., Matamoros, J., Kaiser, D., & Cespedes, M. (2017). Autonomous inverter voltage regulation in a low voltage distribution network. IEEE Transactions on Smart Grid, 9(6), 6909-6917. KashaniM. G., BhattacharyaS., MatamorosJ., KaiserD. & CespedesM. (2017). Autonomous inverter voltage regulation in a low voltage distribution network. IEEE Transactions on Smart Grid, 9(6), 6909-6917.Search in Google Scholar

[24]Eskandari, M., Li, L., Moradi, M. H., Siano, P., & Blaabjerg, F. (2020). Optimal voltage regulator for inverter interfaced distributed generation units part I: Control system. IEEE Transactions on Sustainable Energy, 11(4), 2813-2824. EskandariM., LiL., MoradiM. H., SianoP. & BlaabjergF. (2020). Optimal voltage regulator for inverter interfaced distributed generation units part I: Control system. IEEE Transactions on Sustainable Energy, 11(4), 2813-2824.Search in Google Scholar

[25]Zhang, C., & Xu, Y. (2020). Hierarchically-coordinated voltage/VAR control of distribution networks using PV inverters. IEEE Transactions on Smart Grid, 11(4), 2942-2953. ZhangC. & XuY. (2020). Hierarchically-coordinated voltage/VAR control of distribution networks using PV inverters. IEEE Transactions on Smart Grid, 11(4), 2942-2953.Search in Google Scholar

[26]Jie Li, Shengyuan Ji, Xiuli Wang, Hengyuan Zhang, Yafei Li, Xiaojie Qian & Yunpeng Xiao. (2024). A Stackelberg Game-Based Optimal Scheduling Model for Multi-Microgrid Systems Considering Photovoltaic Consumption and Integrated Demand Response. Energies(23), 6002-6002. LiJie, JiShengyuan, WangXiuli, ZhangHengyuan, LiYafei, QianXiaojie & XiaoYunpeng. (2024). A Stackelberg Game-Based Optimal Scheduling Model for Multi-Microgrid Systems Considering Photovoltaic Consumption and Integrated Demand Response. Energies(23), 6002-6002.Search in Google Scholar

[27]Wei Qinglai, Li Hongyang, Yang Xiong & He Haibo. (2020). Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems.. IEEE transactions on cybernetics 1-12. QinglaiWei, HongyangLi, XiongYang & HaiboHe. (2020). Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems.. IEEE transactions on cybernetics 1-12.Search in Google Scholar

[28]Jie Zhao, Jinqiu Dou, Ming Li, Fangjie Wu, Xiaolin Shen, Yilin Liang & Lei Shang. (2024). Coordinated optimization of control parameters for suppressing transient overvoltage in wind power DC transmission systems. Frontiers in Energy Research 1500942-1500942. ZhaoJie, DouJinqiu, LiMing, WuFangjie, ShenXiaolin, LiangYilin & ShangLei. (2024). Coordinated optimization of control parameters for suppressing transient overvoltage in wind power DC transmission systems. Frontiers in Energy Research 1500942-1500942.Search in Google Scholar

[29]Qingyang Jia, Kewei Yang, Yajie Dou, Ziyi Chen, Nan Xiang & Lining Xing. (2025). A consensus optimization mechanism with Q-learning-based distributed PSO for large-scale group decision-making. Swarm and Evolutionary Computation 101841-101841. JiaQingyang, YangKewei, DouYajie, ChenZiyi, XiangNan & XingLining. (2025). A consensus optimization mechanism with Q-learning-based distributed PSO for large-scale group decision-making. Swarm and Evolutionary Computation 101841-101841.Search in Google Scholar