Intelligent scheduling and optimization of microenergy grid: the application and development of computer technology

[1] Yin, L., & Zhao, L. (2021). Rejectable deep differential dynamic programming for real-time integrated generation dispatch and control of micro-grids. Energy, 225(1), 120268. Search in Google Scholar

[2] Huang, L., Sun, W., Li, Q., & Li, W. (2023). Distributed real-time economic dispatch for islanded microgrids with dynamic power demand. Applied energy. Search in Google Scholar

[3] Ramesh, M., Yadav, A. K., & Pathak, P. K. (2021). Intelligent adaptive lfc via power flow management of integrated standalone micro-grid system. ISA Transactions(112-), 112. Search in Google Scholar

[4] Wang, R., Xu, T., Xu, H., Gao, G., Zhang, Y., & Zhu, K. (2023). Robust multi-objective load dispatch in microgrid involving unstable renewable generation. International journal of electrical power and energy systems. Search in Google Scholar

[5] Palani, V., Veeramani, V. P., Vengadakrishnan, K., & Subbiah, S. (2021). Ih 2 oa based on intelligent power flow management of hres in smart grid. International Journal of Energy Research(2). Search in Google Scholar

[6] Akpinar, K. N., Ozgonenel, O., Gezegin, C., & Gundogdu, B. (2023). An intelligent power management controller for grid-connected battery energy storage systems for frequency response service: a battery cycle life approach. Electric Power Systems Research. Search in Google Scholar

[7] Sahoo, A. K., Panigrahi, T. K., Dhiman, G., Singh, K. K., & Singh, A. (2021). Enhanced emperor penguin optimization algorithm for dynamic economic dispatch with renewable energy sources and microgrid. Journal of Intelligent and Fuzzy Systems(2), 1-18. Search in Google Scholar

[8] Kumar, R. S., Raghav, L. P., Raju, D. K., & Singh, A. R. (2021). Intelligent demand side management for optimal energy scheduling of grid connected microgrids. Applied Energy, 285(march), 1-14. Search in Google Scholar

[9] Sepehrzad, R., Mahmoodi, A., Ghalebi, S. Y., Moridi, A. R., & Seifi, A. R. (2022). Intelligent hierarchical energy and power management to control the voltage and frequency of micro-grids based on power uncertainties and communication latency. Electric Power Systems Research, 202, 107567-. Search in Google Scholar

[10] Karimi, H., Beheshti, M. T. H., Ramezani, A., & Zareipour, H. (2021). Intelligent control of islanded ac microgrids based on adaptive neuro-fuzzy inference system. International Journal of Electrical Power & Energy Systems, 133(3), 107161. Search in Google Scholar

[11] Ghasemi, N., Ghanbari, M., & Ebrahimi, R. (2023). Intelligent and optimal energy management strategy to control the micro-grid voltage and frequency by considering the load dynamics and transient stability. International journal of electrical power and energy systems. Search in Google Scholar

[12] Dong, F., Hou, Y., Li, W., & Wang, Y. (2022). Intelligent decision-making of distribution network planning scheme with distributed wind power generations. International Journal of Electrical Power & Energy Systems, 136, 107673-. Search in Google Scholar

[13] Liu, Y., Wang, G., Guo, W., Zhang, Y., & Zeng, Z. X. (2021). Power data mining in smart grid environment. Journal of Intelligent and Fuzzy Systems, 40(2), 3169-3175. Search in Google Scholar

[14] Zhao, G., Li, Z., Zha, P., Liu, J., & Jiang, C. (2022). Energy management scheme of single-phase electric energy router with two-layer intelligent control combined with optimal scheduling of battery. IET renewable power generation(11), 16. Search in Google Scholar

[15] Li, X., Huang, T., Cheng, K., Qiu, Z., & Sichao, T. (2022). Research on anomaly detection method of nuclear power plant operation state based on unsupervised deep generative model. Annals of nuclear energy(Mar.), 167. Search in Google Scholar

[16] Zhang, J., Bi, T., & Liu, H. (2022). Dynamic state estimation of a grid-connected converter of a renewable generation system using adaptive cubature kaiman filtering. International journal of electrical power and energy systems. Search in Google Scholar

[17] Muralidhar, K., & Rajasekar, N. (2021). A new design and feasible architecture of dc microgrid for rural electrification. International Transactions on Electrical Energy Systems. Search in Google Scholar