Optimization study of stochastic process and probabilistic model for line loss management efficiency in low-voltage station areas

[1] Jia, H., Deng, Y., Qiu, X., Tong, X., Li, P., & Li, F. (2019, June). Line loss rate prediction method based on deep learning with long short term memory. In 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA) (pp. 392-396). IEEE. Search in Google Scholar

[2] Rozegnał, B., Albrechtowicz, P., Mamcarz, D., Rerak, M., & Skaza, M. (2021). The power losses in cable lines supplying nonlinear loads. Energies, 14(5), 1374. Search in Google Scholar

[3] Kim, J., Oh, J., & Lee, H. (2019). Review on battery thermal management system for electric vehicles. Applied thermal engineering, 149, 192-212. Search in Google Scholar

[4] Machowski, J., Lubosny, Z., Bialek, J. W., & Bumby, J. R. (2020). Power system dynamics: stability and control. John Wiley & Sons. Search in Google Scholar

[5] Kakran, S., & Chanana, S. (2018). Smart operations of smart grids integrated with distributed generation: A review. Renewable and Sustainable Energy Reviews, 81, 524-535. Search in Google Scholar

[6] Li, X., & Wang, S. (2019). Energy management and operational control methods for grid battery energy storage systems. CSEE Journal of Power and Energy Systems, 7(5), 1026-1040. Search in Google Scholar

[7] Ma, T., Wu, J., & Hao, L. (2017). Energy flow modeling and optimal operation analysis of the micro energy grid based on energy hub. Energy conversion and management, 133, 292-306. Search in Google Scholar

[8] Shao, C., Shahidehpour, M., Wang, X., Wang, X., & Wang, B. (2017). Integrated planning of electricity and natural gas transportation systems for enhancing the power grid resilience. IEEE Transactions on Power Systems, 32(6), 4418-4429. Search in Google Scholar

[9] Shen, J., Li, J., Li, M., Yao, Y., Wang, K., Cai, J., & Bian, Z. (2021, December). Prediction method of statistical line loss rate in station area with single data loss based on deep neural network. In 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST) (pp. 578-581). IEEE. Search in Google Scholar

[10] Ni, L., Yao, L., Ding, Q., & Zhang, J. (2022, March). A Knowledge Base-based Method for Line Loss Abnormality Diagnosis in Station Area and Automatic Generation of Loss Reduction Measures. In Journal of Physics: Conference Series (Vol. 2218, No. 1, p. 012007). IOP Publishing. Search in Google Scholar

[11] Hai, W., Kai, L., Cheng, Z., & Yongcan, L. (2021, July). Research on Line Loss Improvement of Station Area in Distribution Network by Modular Photovoltaic Energy Storage System. In 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (pp. 1285-1289). IEEE. Search in Google Scholar

[12] Jian, Y. A. N. G., Yu, L. I. U., Kunpeng HUANG, Y. L., Siqing, N. I. U., Wei, W. A. N. G., Jiafei, H. U. A. N., ... & Huawei, L. I. (2023). A method for estimating available power of wind farms by considering the power generation conditions and station losses. Power Generation Technology, 44(2), 235. Search in Google Scholar

[13] Wang, R., & Li, M. (2021). Power equipment fault information acquisition system based on Internet of things. EURASIP Journal on Wireless Communications and Networking, 2021(1), 65. Search in Google Scholar

[14] Zhou, B., Sun, Y., Mahato, N. K., Xu, X., Yang, H., & Gong, G. (2020, June). Optimization Control Strategy of Electricity Information Acquisition System Based on Edge-Cloud Computing Collaboration. In 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) (pp. 54-59). IEEE. Search in Google Scholar

[15] Zhao, B., Conejo, A. J., & Sioshansi, R. (2017). Coordinated expansion planning of natural gas and electric power systems. IEEE Transactions on Power Systems, 33(3), 3064-3075. Search in Google Scholar

[16] Bhusal, N., Abdelmalak, M., Kamruzzaman, M., & Benidris, M. (2020). Power system resilience: Current practices, challenges, and future directions. Ieee Access, 8, 18064-18086. Search in Google Scholar

[17] Hu, W., Guo, Q., Liu, Y., Wang, W., Wang, Y., & Song, S. (2021, April). Real-time line loss calculation method based on equivalent resistance of low voltage distribution network. In 2021 China International Conference on Electricity Distribution (CICED) (pp. 1045-1049). IEEE. Search in Google Scholar

[18] Firoozi, H., & Mashhadi, H. R. (2022). Non-technical loss detection in limited-data low-voltage distribution feeders. International Journal of Electrical Power & Energy Systems, 135, 107523. Search in Google Scholar

[19] Zhou, Q., Yu, K., Chen, X., & Liu, S. (2018, November). Calculation method of the line loss rate in low-voltage transformer district based on PCA and k-means clustering and support vector machine. In 2018 International Conference on Power System Technology (POWERCON) (pp. 4264-4271). IEEE. Search in Google Scholar

[20] Yuan, W., Yuan, X., Xu, L., Zhang, C., & Ma, X. (2023). Harmonic loss analysis of low-voltage distribution network integrated with distributed photovoltaic. Sustainability, 15(5), 4334. Search in Google Scholar

[21] Naumov, I. V. (2018). Additional power losses in low-voltage electrical networks and their influence on people. European Proceedings of Social and Behavioural Sciences, 50. Search in Google Scholar

[22] Nguyen, P. T., Nguyen, N. L., Stameroff, A. N., & Pham, A. V. (2022, June). A DC-170 GHz InP distributed amplifier using transmission line loss compensation technique. In 2022 IEEE/MTT-S International Microwave Symposium-IMS 2022 (pp. 841-844). IEEE. Search in Google Scholar

[23] Ding Jinjin,Xu Bin,Lou Wei,Peng Bo & Ding Jingya.(2023).Abnormal line loss identification of distributed PV low-voltage distribution area based on data driven.Journal of Physics: Conference Series(1), Search in Google Scholar

[24] Yibing Li,Jie Liu,Lei Wang,Jinfu Liu,Hongtao Tang,Jun Guo & Wenxiang Xu.(2024).A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem.Applied Soft Computing111746-. Search in Google Scholar

[25] Wang Jing & Liu Liu.(2024).A new multivariate control chart based on the isolation forest algorithm.Quality Engineering(2),390-406. Search in Google Scholar

[26] Yong Chen,Bingxiao Yan,Liming Zhang,Kefu Yao & Xue Jiang.(2024).Sideband Vibro-Acoustics Suppression and Numerical Prediction of Permanent Magnet Synchronous Motor Based on Markov Chain Random Carrier Frequency Modulation.Applied Sciences(11), Search in Google Scholar

[27] Li Shi Hua,Lv Shi Ning,Gao You shan,Wang Ai Hong & Wan Yu Fan.(2024).RBF network dynamic sliding mode robust control for overhead cranes with uncertain parameters.Journal of the Brazilian Society of Mechanical Sciences and Engineering(8), Search in Google Scholar

[28] Michele Ducceschi,Sebastian Duran,Henna Tahvanainen & Ludovico Ausiello.(2024).A method to estimate the rectangular orthotropic plate elastic constants using least-squares and Chladni patterns. Applied Acoustics109949-. Search in Google Scholar