A Multi-objective Planning of Transmission Line Balance Degree Based on Power Flow Entropy Theory

Li Z, Wu W, Zhang B et al (2020) Hexagon raster-based method for distribution network planning considering line routes and pole locations. IET Gener Transm Distrib 14(8):1420–1429 Armaghani S, Naghshbandy AH, Shahrtash SM (2020) A novel multi-stage adaptive transmission network expansion planning to countermeasure cascading failure occurrence. Int J Electr Power Energy Syst 115:105415 Zihao L, Wenchuan W, Boming Z et al (2020) Feeder-corridor-based distribution network planning model with explicit reliability constraints. IET Gener Transm Distrib 14(22):1093–1101 Chufei X, Fei T, Dichen L et al (2020) Research on the expansion planning of transmission network considering splitting control. Power Syst Technol 44(06):2204–2215 Shang Z, Wang G, Xueping T et al (2017) Grid safe and uniform dispatch based on the optimization of transmission grid structure. Power Syst Technol 41(09):2957–2963 Liu Zifa Yu, Hanxiao WS et al (2018) Transmission grid planning considering operating efficiency and wind abandonment losses. Power Syst Technol 42(03):827–834 Ying H, Baozhu L, Kunyu W et al (2018) Joint planning of storage and transmission considering wind power capacity. Power Syst Technol 42(05):1480–1489 Chen Z, Hu Y, Tai N et al (2020) Transmission grid expansion planning of a high proportion renewable energy power system based on flexibility and economy. Electronics 9(6):966 Yichao C, Tao L, Junzhao C et al (2018) Research on line state vulnerability based on branch break distribution factor. Distrib Energy 3(05):11–15 Darui Z, Rui W, Jiandong D et al (2019) Identification of key transmission lines considering multiple influencing factors. Proc Chin Soc Electr Eng 39(20):5938-5947+6174 Zhu D, Wang R, Duan J et al (2021) Comprehensive weight method based on game theory for identify critical transmission lines in power system. Int J Electr Power Energy Syst 124:106362 Reihani E, Siano P, Genova M (2020) A new method for peer-to-peer energy exchange in distribution grids. Energies 13(4):799 Meicheng Li, Wenming M, Yongqiang L et al (2019) Method for accurately identifying brittle branches of power grid based on improved load flow entropy index. Power Syst Technol 43(03):1026–1033 Yan Xu, Xiaoshuang L, Bin Q et al (2019) Identification method of key lines of power grid based on comprehensive importance. Electr Power Construct 40(07):85–90 Xue H, Kim KT, Youn HY (2019) Dynamic load balancing of software-defined networking based on genetic-ant colony optimization. Sensors 19(2):1424 Dabo Z, Zhipeng Z, Shuai L et al (2019) Research on the configuration scheme of UPFC in wind power grid-connected system based on multi-scenario variable weight and multi-objective optimization. Power Syst Technol 43(02):638–645 Xueping Gu, Yumeng L, Tao W et al (2018) Self-organized critical state identification of power grid based on structural balance theory. Trans Chin Soc Electr Eng 33(17):4136–4145 Liping H, Yifei W, Juntao G et al (2020) Disaster prevention economic dispatch considering grid load balance and N-1 security constraints[J]. Automat Electr Power Syst 44(13):56–63 Yaowu Wu, Zhijing C, Suhua L et al (2013) Transmission grid planning model considering grid load balance. J Huazhong Univ Sci Technol (Nat Sci Edn) 41(12):96–100 Liu J, Chen J, Zhang Q (2017) Optimal power flow calculation for power system with UPFC considering load rate equalization. IOP Conf Series Earth Environ Sci 69(1):012152 Chaoxia J, Hongyi W, Changxu J (2017) Multi objective optimization of power supply capacity of 220 kV Power Grid Considering Load Balance [J]. Power Grid Technol 41(05):1619–1628 Bingjie J, Buhan Z, Ke W (2016) Power system optimal power flow equilibrium analysis based on entropy theory. Automat Electr Power Syst 40(12):80–86 Yang L, Wang Y, Wang M et al (2020) Island division and multi-objective network reconstruction considering power flow entropy. In: MATEC web of conferences, pp 309 Yangyu H, Qidi H et al (2020) Risk identification method of power grid division based on power flow entropy. IOP Conf Series Earth Environ Sci 546(5) Jiang W, Wang Y (2020) Node similarity measure in directed weighted complex network based on node nearest neighbor local network relative weighted entropy. IEEE Access 8:1–1 Yanli Z, Yao F, Wang Y et al (2019) Key node identification of power grid based on network structure and power flow tracking. J Guangxi Normal Univ (Nat Sci) 37(01):133–141 Zhongjian K, Changchao L, Hongguo Y et al (2020) A method of identifying key transmission lines in power systems. Electr Power Automat Equipment 40(04):63–70 Hongfei T, Dong X, Fulin Z et al (2020) Comprehensive identification of key lines of grid-connected power systems with large-scale wind power. Power Syst Protect Control 48(06):115–123 Guofeng LV, Xudong Z, Chen C (2020) Research on power grid cascading fault risk identification based on high entropy [J]. Northeast Electr Power Technol 41(11):36–41+45 Xi W, Jing G, Yunjun S et al (2019) High-proportion renewable energy grid adaptive expansion planning based on joint weighted entropy. Electr Power Construct 40(12):45–54 Mingze Z, Yichao H, Min W (2019) Optimization of wind power configuration in distribution network based on scenario clustering and power flow entropy. DEStech Trans Environ Energy Earth Sci(PEEMS 2019) 2019:587–591. https://doi.org/10.26914/c.cnkihy.2019.078167 Ouyang Sen, SHI Yili. Improved entropy weight method and its application in power quality assessment [J]. Automation of electric power systems,2013,37(21):156–159+164. Xuanran F, Yue Y, Ruimeng Y et al (2017) Calculation method of node electricity price in active distribution network considering voltage over-limit investment. Electr Power Construct 38(10):123–128 Siqing S, Meng L (2015) An active distribution network planning method considering both DG and ESS site selection and capacity. Electr Power Sci Eng 31(10):21–26