[2]
H. Cheng, Y. Zheng, and G. Jian, "Trans-regional and inter-provincial transaction path optimization based on the method of expanding network flow", Dianli Xitong Zidonghua, vol. 40, no. 09, pp. 129-134, 2016.
[3]
M. Bao, D. Yi, and L. Hao, "Nordic power market review and experience for China", Proceed. CSEE, vol. 37, no. 17, pp. 4881-4892, 2007.
[4]
C. Youngho, and Y. Li, "Power generation and cross-border grid planning for the integrated ASEAN electricitymarket: A dynamic linear programming model", Energ. Strategy Rev., vol. 9, no. 2, pp. 153-160, 2013.
[5]
L. Gao, R. Steven, and L.W. Fengji, "Generalized FDIA-based cyber topology attack with application to the Australian electricity market trading mechanism", IEEE Trans. Smart Grid, vol. 7, no. 4, pp. 3820-3829, 2018.
[7]
Á. Sleisz, and D. Raisz, "Integrated mathematical model for uniform purchase prices on multi-zonal power exchanges", Electr. Power Syst. Res., vol. 147, pp. 10-21, 2017.
[9]
R. Majumdar, A. Ghosh, A.K. Das, S. Raha, K. Laha, S. Das, and A. Abraham, "Artificial weed colonies with neighbourhood crowding scheme for multimodal optimization In: Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011), 2011, pp. 20-22. ",
[12]
X. Wu, J. He, and H. Jun, "Short-term load forecasting of power system based on improved stochastic forest algorithm based on grey projection", Dianli Xitong Zidonghua, vol. 39, no. 12, pp. 50-55, 2015.
[13]
Y. Xiao, X. Wang, and X. Wang, "An overview of power market research for high proportion of renewable energy", Zhongguo Dianji Gongcheng Xuebao, vol. 38, no. 03, pp. 663-674, 2018.
[14]
Y. Zheng, H. Cheng, and Z. Yang, "Modeling and algorithm of cross-regional and cross-provincial transaction path optimization considering clean energy", Dianli Xitong Zidonghua, vol. 41, no. 24, pp. 112-119, 2017.
[15]
Z.H.A.O. Boshi, Y.A.N. Yu, and L.I.U. Yonghui, "Based on the regional power generation cost approval, the pricing method of cross-regional and cross-provincial power transaction deviations", Dianli Xitong Zidonghua, vol. 40, no. 11, pp. 3334-3341, 2016.
[16]
Z. Miao, Research on predictive control of single phase full bridge soft switched PFC converter., Harbin Institute of Technology: Harbin, 2012.
[17]
C. Li, B.E.N. Hongqi, and S. Sun, "Research of improved predictive current control algorithm", Electric Mach. Cont., vol. 19, no. 3, pp. 61-68, 2015.
[18]
L. Jia, Y. Zhu, and X. Sun, "Low voltage ride through control method for photovoltaic power station based on model current predictive control", Dianli Xitong Zidonghua, vol. 39, no. 7, pp. 68-74, 2015.
[19]
L. Yong, Z. Su, and W. Yu, "Monthly load forecast based on seasonal adjustment and BP neural network", Syst. Eng. Theory Practice, vol. 38, no. 04, pp. 1052-1060, 2018.
[20]
L.M. Abualigah, A.T. Khader, and E.S. Hanandeh, "A new feature selection method to improve thedocument clustering using particle swarm optimization algorithm", J. Comput. Sci., 2017.
[22]
W. Kang, L. Qiang, and C. Peng, "Multi-agent distributed two-layer control method for isolated island microgrid", Zhongguo Dianji Gongcheng Xuebao, vol. 38, no. 03, pp. 770-781, 2018.
[23]
Y. Xiang, L. Bin, and Y. Meng, "A distributed alliance formation algorithm in multi - agent network", Cont. Decision, vol. 30, no. 03, pp. 536-540, 2015.