Structural Analysis and Comprehensive Evaluation of Economic Index of Distribution Network

Litong Dong; Yinghua Chen; Yanqin Ge; Xuesong Xu

doi:10.1051/e3sconf/202021303004

All issues

Volume 213 (2020)

E3S Web Conf., 213 (2020) 03004

References

Open Access

Issue		E3S Web Conf. Volume 213, 2020 2^nd International Conference on Applied Chemistry and Industrial Catalysis (ACIC 2020)


Article Number		03004
Number of page(s)		5
Section		Environmental Chemical Research and Energy-saving Technology Application
DOI		https://doi.org/10.1051/e3sconf/202021303004
Published online		01 December 2020

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[1] Liu, W.F., Xie, M.F. (2020) Economic Analysis of Renewable Energy in the Electricity Marketization Framework: A Case Study in Guangdong, China. Frontiers in Energy Research, 8. [Google Scholar]

[2] Liu, H.F., Niu, D.X., Huang, Y.L., et al. (2016) Research on Distribution Network Development Speed Comprehensive Evaluation Method. In 2016 International Forum on Energy, Environment and Sustainable Development. [Google Scholar]

[3] He, Y.J., Li, F., Wang, X.R., et al. (2019) Research on Instability of Distributed Renewable Energy Power Access to Distribution Network. In 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). [Google Scholar]

[4] Ehsan, A., Yang, Q. (2018) Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques. Applied Energy, 210, 44–59. [CrossRef] [Google Scholar]

[5] Hu, L., Hong, L., Zhenjian, X. (2016). Reliability evaluation method for active power distribution network based on switch boundary subarea division. [Google Scholar]

[6] Ma L.Y., Wang Z.Q., Zhou T., et al. (2019) Evaluation Model for Economic Operation of Active Distribution Network Orienting to Energy Internet. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 14(3): 1151-1164. [CrossRef] [Google Scholar]

[7] Luo F.Z., Wei W., Wang C.S., et al. (2014) Research and application of GIS-based mediumvoltage distribution network comprehensive technical evaluation system. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 25(11): 2674-2684. [CrossRef] [Google Scholar]

[8] Han, Y.M., Zhu, Q.X., Geng, Z.Q. (2017) Energy and carbon emissions analysis and prediction of complex petrochemical systems based on an improved extreme learning machine integrated interpretative structural model. Applied Thermal Engineering, 115. [Google Scholar]

[9] Yang, Y.-Y., Pan, F., Lin, G.-Y., et al. (2018) Comprehensive Evaluation of Distribution Network Reliability for Power Consumer Based on AHP and Entropy Combination Method. In 2018 International Conference on Power System Technology (POWERCON). [Google Scholar]

[10] Wu, Q.L., Peng, C.Y. (2016). Comprehensive Benefit Evaluation of the Power Distribution Network Planning Project Based on Improved IAHP and Multi-Level Extension Assessment Method. Sustainability, 8(8), 1–18. [Google Scholar]

[11] Li, J.B., Lu, M.S., Guo X.M., et al (2018) Insights into the improvement of alkaline hydrogen peroxide (AHP) pretreatment on the enzymatic hydrolysis of corn stover: Chemical and microstructural analyses. Bioresource Technology, 265. [Google Scholar]

[12] Asmita, P., Xu Y.J., Amit K. (2016) Corrigendum to ‘‘A note on ‘‘Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP” ’’ [Information Sciences 346–347 (2016) 1–5][J]. Information Sciences, 366. [Google Scholar]