Load frequency stabilization by coordinated control of Thyristor Controlled Phase Shifters and superconducting magnetic energy storage for three types of interconnected two-area power systems

被引:44
作者
Bhatt, Praghnesh [2 ]
Ghoshal, S. P. [3 ]
Roy, Ranjit [1 ]
机构
[1] SV Natl Inst Technol, Dept Elect Engn, Surat 395007, Gujarat, India
[2] Charotar Inst Technol, Dept Elect Engn, Changa 388421, Gujarat, India
[3] Natl Inst Technol, Dept Elect Engn, Durgapur 713209, W Bengal, India
关键词
AGC; CRPSO; FACTS; RGA; SMES; TCPS; AUTOMATIC-GENERATION CONTROL; GAINS;
D O I
10.1016/j.ijepes.2010.06.009
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, automatic generation control with interconnected two-area multi-unit all-hydro power system and two more test systems as all-thermal and thermal-hydro mixed haves been investigated. The transfer function of hydro turbine having non-minimum phase characteristics makes it different from the steam turbine. Upon application of small load perturbation to such all-hydro system, the frequency is severely disturbed and the system eventually becomes unstable. To stabilize the system for such load disturbance, comparative transient performance of two cases as (a) Thyristor Controlled Phase Shifter (TCPS) installed in series with the tie-line in coordination with Superconducting Magnetic Energy Storage (SMES) and (b) SMES located at each terminal of both areas are analyzed. It is observed that the case (b) i.e. SMES located at each terminal of both areas suppresses the frequency oscillations more effectively in integral controller assisted AGC of two-area multi-unit all-hydro system and the other two systems as well. In addition, the effectiveness of proposed frequency stabilizers is guaranteed by analyzing the transient responses of the system with different system parameters, various load patterns and in the event of temporary and permanent tie-line outage. Gains of the integral controller in AGC loop and parameters of TCPS and SMES are optimized with the help of a relatively novel particle swarm optimization, developed by the authors, called as craziness-based particle swarm optimization (CRPSO). The optimizing performance has been compared to that of real-coded genetic algorithm (RGA) to establish its superiority. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1111 / 1124
页数:14
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