2007, Volume 9, Issue 10
Strategic Study of CAE >> 2007, Volume 9, Issue 10
The Control Strategy of SVG in Outer Loop Controller Based on Artificial Immunity Algorithm
College of Electrical Information Engineering of Jiangsu University, Zhenjiang, Jiangsu 212013, China
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Abstract
The control strategy of SVG controller in outer loop based on artificial immunity arithmetic was brought forward in this paper in control technique about voltage error—reactive power in static var generator's controller in allusion to complex control object of multi-dimensional and non-linear power system. Bionically simulating the immune process of human body in which the immunity system can bring excellent antibody for biting evil invasive antigen and maintain normal function, the control strategy takes voltage fluctuate as equivalence antigen and produces antibody for voltage stabilization. Output reference value of reactive power instruction in inner loop is gained by identifying voltage change factor in power system which corresponds to antigen mater in immunity system and setting model with fuzzy scheme for cell activation process with Mamdani fuzzy reasoning and gravitational and center fuzzy measure. The control scheme of simulation immune mechanism brought forward in the paper is proved effective on stability of power system through the outline parameter training of the SVG simulation controller on on power system of one generator with two close loop structur the fault influence analysis about short circuit in triphase symmetry power system and comparison with parameter change by PI control manner.
Keywords
power system ; SVG ; mimic humoral immune response model (MHIRM) ; Lyapunov energy function
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References
[ 1 ] 李海峰,李海潮.FACTS装置用于电力系统稳定控制综述[J].电力系统自动化,1998,22(9):31~37 link1
[ 2 ] Margaliot M L.Fuzzy Lyapunov-based approach to the design of controller [ J] .Fuzzy Sets System,1999 , 10 ( 6 ) : 49 ~59 link1
[ 3 ] 马幼捷.直接反馈线性化理论和静止无功补偿器的非线性控制[D].北京:清华大学,1998
[ 4 ] sahoo N C, Panigrahi B K, Dsah P K, et al.Application of a mul-tivariable feedback linearization scheme for STATCOM control [ J] .Electric Power System Research, 2002 , 62 ( 1 ) : 81 ~91 link1
[ 5 ] 谢小荣,崔文进,唐义良,等.STATCOM无功电流的鲁棒自适应控制[J].中国电机工程学报,2001,21(4):35~40 link1
[ 6 ] 涂春鸣,罗安.新型静止无功发生器ASVG及其不对称专家PID控制[J].中南工业大学学报,2000,31(2):180~184 link1
[ 7 ] Mal L O.STATCOM with Fuzzy Controllers for interconnected power systems [ J ] .Electric Power System Research, 2000 , 54 ( 2 ) : 101 ~111 link1
[ 8 ] Mohades M, Gole M, Mclaren P G.A neural network controlled optimal pulse -width modulated STATCOM [ J] .IEEE Trans on Power, 1999.14 ( 2 ) : 481 ~488 link1
[ 9 ] Ju P, Handschin E, Reyer F F. Evolution algorithm aided controller design with application to SVC [ J] .IEEE Proc Gener Transm, 1999 , 143 ( 3 ) : 258 ~262
[10] Mori K, Tsukiyama M, Fukuda T. Multi - optimization by immune algorithm with diversity and learning [ A] .Proceedings of IEEE International Conference on System and Man and Cybe-metic ( SMC) [ C] .IEEE, Japan, 1996.118 ~123
[11] 王海风,李海峰,陈衍.电力系统电压的体液免疫学习控制[J].中国电机工程学报,2003,23(2):31~36 link1
[12] 李海峰,王海风,陈衍.免疫系统建模及其在电力系统电压调节中的应用[J].电力系统自动化.2001,25(23):17~21 link1
[13] 李国柱,王平,陈星莺.基于免疫算法的变电站电压无功综合控制[J].电力自动化设备,2004,24(4):59~64 link1
[14] 杨建宁,孙玉坤.基于人工免疫算法的最优潮流计算[J].中国农村水利水电,2007,56(5):104~107
[15] 倪长健,丁晶,李札泳.基于优秀抗体的免疫算法以其收敛性问题的研究[J].系统工程,2002,20(3):72~76 link1
[16] 莫宏伟编著.人工免疫系统原理与应用[M].哈尔滨:哈尔滨工业大学出版社,2003
[17] 韦魏,张过宏.人工免疫系统及其在控制系统中的应用[J].控制理论与应用,2002,19(2):157~167 link1
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