Abstract：In order to enhance the dynamic stability of AC/DC power system, a novel adaptive chaos particle swarm optimization (ACPSO) algorithm is presented and applies to design optimal coordinated HVDC modulators for the multi-infeed HVDC system. According to the proposed ACPSO algorithm, the diversity of the particle swarm is enhanced by using the ergodicity of the chaos motion to initialize the swarm; a part of particles are chosen on the basis of their fitness value and optimized by chaos optimization algorithm to help the inert ones jump out the local extremum region at each iteration; the capability of global and local search is improved by introducing an adaptive inertia weight factor for each particle to adjust its inertia weight factor adaptively in response to its fitness. Simulation is implemented on a three areas dual-infeed HVDC system, in which the active power deviation of the AC inter-ties and the rotor angle deviation of all generators are selected to form the objective function, and the ACPSO algorithm is used for searching the global optimal parameters of each bilateral frequency-difference HVDC modulator. The simulation results show that the proposed ACPSO algorithm can realize optimization and coordination of HVDC modulation and enhance dynamic stability of AC/DC interconnected power system more effectively than the traditional PSO algorithm and genetic algorithm, and can be a promising method for parameters' optimal coordination of HVDC modulators in multi-infeed HVDC power system.
[1] Kundur P. Power system stability and control[M]. New York: McGraw-Hill Inc, 1994. [2] Lips H P. Aspects of multiple infeed of HVDC inverter station into a common AC system [J]. IEEE Transactions on Power Apparatus Systems, 1973, 92 (2) :135-141. [3] 金丽成, 刘海峰, 徐政. 多馈入直流输电系统小信号调制器的协调优化整定[J]. 电力系统自动化, 2003, 27(16) :10-15. [4] 刘红超, 李兴源, 王路, 等. 多馈入直流输电系统中直流调制的协调优化[J]. 电网技术, 2004, 28(1) : 5-9. [5] Simoes C J A, Freitas F D. Design of decentralized controllers for large power systems considering sparsity[J]. IEEE Trans. on Power Systems, 1997, 12( l ) :144-152. [6] Pourbeik P, Gibbard M J. Simultaneous coordination of power system stabilizers and FACTS device stabilizers in a multi-machine power system for enhancing dynamic performance[J]. IEEE Trans. on Power Systems, 1998, 13(2) :473-479. [7] 张栋, 张刘春, 傅正财. 基于改进禁忌算法的配电网络重构[J]. 电工技术学报, 2005, 20(11) :60-64. [8] 张志毅, 陈允平, 袁荣湘. 电力系统负荷恢复问题的混合遗传算法求解[J]. 电工技术学报, 2007, 22(2): 105-109. [9] Hirotaka Y, Kenichi K. A particle swarm optimization for reactive power and voltage control considering voltage security assessment[J]. IEEE Trans. on Power Systems, 2000, 15(4) :1232-1239. [10] Zwe L G. Particle swarm optimization to solving the economic dispatch considering the generator constraints[J]. IEEE Trans. on Power Systems, 2003, 18(3) :1187-1195. [11] 赵波, 郭创新, 曹一家. 基于粒子群优化算法和动态调整罚函数的最优潮流计算[J]. 电工技术学报, 2004, 19(5) :47-54. [12] 胡国强, 贺仁睦. 梯级水电站多目标模糊优化调度模型及其求解方法[J]. 电工技术学报, 2007, 22(1) :154-158. [13] 蒙文川, 邱家驹. 电力系统经济负荷分配的混沌粒子群优化算法[J]. 电力系统及其自动化学报, 2007, 19(2) :114-119. [14] 刘自发, 葛少云, 余贻鑫. 基于混沌粒子群优化方法的电力系统无功最优潮流[J]. 电力系统自动化, 2005, 29(7): 53-57. [15] 李兵, 蒋慰孙. 混沌优化方法及其应用[J]. 控制理论与应用, 1997, 14(4): 613-615. 作者简介: 周孝法 男, 1973年生, 博士研究生, 研究方向为交直流混合电力系统的建模、分析与控制。陈陈 女, 1938年生, 教授, 博士生导师, 研究方向为电力系统稳定分析与控制、FACTS的理论与应用。
2009, Vol. 24 
