An Interval Voltage Control Method Using Adaptive Genetic Algorithm

被引:0
作者
Zhang, Cong [1 ]
Chen, Haoyong [1 ]
Liang, Zipeng [1 ]
Hua, Dong [1 ]
机构
[1] South China Univ Technol, Sch Elect Engn, Guangzhou 510640, Guangdong, Peoples R China
来源
2017 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA) | 2017年
关键词
Renewable energy; interval; voltage control; adaptive genetic algorithm; REACTIVE-POWER OPTIMIZATION;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposes the use of interval values to model the power output of renewable energy resources, and accordingly develops an interval voltage control model. The proposed model can safeguard the security of power grids by ensuring that the voltages reside within established limits. An adaptive genetic algorithm is employed to solve the proposed model, where a newly developed interval power flow calculation is used to solve the interval power flow equations, and penalty functions are applied to express inequality constraints. The proposed method is introduced in detail, and simulation results are presented to demonstrate its performance in comparison with a previously proposed interval voltage control method. The proposed approach provides robust convergence, obtains lower system power losses, and substantially reduces the computation time.
引用
收藏
页码:11 / 15
页数:5
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