Transmission congestion management with integration of wind farm: a possible solution methodology for deregulated power market

被引:4
作者
Gope, Sadhan [1 ]
Goswami, A. K. [2 ]
Tiwari, P. K. [2 ]
机构
[1] Mizoram Univ, Elect Engn Dept, Aizawl 796004, India
[2] Natl Inst Technol Silchar, Elect Engn Dept, Silchar 788010, India
关键词
Wind farm; Moth flame optimization algorithm; Generator sensitivity factor; Bus sensitivity factor; OPTIMIZATION ALGORITHM; ELECTRICITY MARKETS; FACTS DEVICES; STABILITY; REAL;
D O I
10.1007/s13198-019-00856-z
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Congestion management (CM) work is a challenging task for researchers working in the field of power transmission sector. In this paper, an appreciable effort has been made to eliminate the line congestion by integrating wind farm in the system. To reschedule the conventional generators for achieving best optimal solution, moth flame optimization (MFO) algorithm is implemented here. Generator sensitivity factors and bus sensitivity factors are respectively used to reschedule the generators and to optimally locate the wind farm in deregulated power system. To test the performance and check the effectiveness of the proposed CM approach, modified IEEE 30 bus test system and modified 39 bus New England test system are used here. Further after obtained details results, the competitive performance of MFO algorithm is compared and verified with others optimization algorithms like artificial bee colony, firefly algorithm and ant lion optimizer algorithms in terms of rescheduling amount, rescheduling cost and active power losses.
引用
收藏
页码:287 / 296
页数:10
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