Optimal power flow solution of power system incorporating stochastic wind power using Gbest guided artificial bee colony algorithm

被引：0
|
作者：
Roy, Ranjit [1 ]
Jadhav, H.T. [1 ]
机构：
[1] Dept. of Electrical Engineering, S. V. National Institute of Technology, Surat, India
来源：
International Journal of Electrical Power and Energy Systems | 2015年 / 64卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Wind power
引用
收藏
页码：562 / 578
相关论文
共 13 条
  • [1] Employing adversarial robustness techniques for large-scale stochastic optimal power flow
    Agarwal, Aayushya
    Donti, Priya L.
    Kolter, J. Zico
    Pileggi, Larry
    Electric Power Systems Research, 2022, 212
  • [2] Power allocation of multi-users based on optimal power allocation algorithm in uplink base stations cooperative system
    School of Electronic and Information Engineering, Tianjin University, Tianjin, 300072, China
    不详
    Int. Conf. Wirel. Commun., Networking Mob. Comput., WiCOM,
  • [3] Using hydropower to complement wind energy: A hybrid system to provide firm power
    Jaramillo, O.A.
    Borja, M.A.
    Huacuz, J.M.
    Renew. Energy, 1600, 11 (1887-1909):
  • [4] Construction of Digital Transformation Management System for Power Grid Enterprises Based on Artificial Intelligence Algorithm
    Liu, Xiaoguang
    Cai, Xi
    Han, Jianfeng
    Engineering Intelligent Systems, 2023, 31 (02): : 153 - 164
  • [5] A NON-LINEAR NETWORK FLOW ALGORITHM FOR MAXIMIZATION OF BENEFITS IN A HYDROELECTRIC POWER SYSTEM
    ROSENTHAL, RE
    OPERATIONS RESEARCH, 1981, 29 (04) : 763 - 786
  • [6] Interior-point optimal power flow with the high voltage direct current transmission system
    College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang Province, China
    Zhongguo Dianji Gongcheng Xuebao, 25 (43-49):
  • [7] POWER SYSTEM VAR COMPREHENSIVE OPTIMAL DISPATCHING USING OVERALL SENSITIVITY ANALYSIS METHOD.
    He, Jiakun
    Zhang, Qingan
    Liu, Zhuoyun
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 1985, 5 (03): : 36 - 46
  • [8] Wind farm power density optimization according to the area size using a novel self-adaptive genetic algorithm
    Kirchner-Bossi, Nicolas
    Porté-Agel, Fernando
    Renewable Energy, 2024, 220
  • [9] Parallel power flow solutions using a biconjugate gradient algorithm and a Newton method: A GPU-based approach
    Facultad de Ingeniería Eléctrica, Universidad Michoacana de San Nicolás de Hidalgo, Mexico
    IEEE PES Gen. Meet., PES,
  • [10] Improved NSGA-Ⅲ Algorithm and BP Fuel-cost Prediction Network for Many-objective Optimal Power Flow Problems
    Qian, Jie
    Long, Hongyu
    Long, Yi
    Zhao, Chenxu
    IAENG International Journal of Applied Mathematics, 2021, 51 (02)
12