[an error occurred while processing this directive]
   
 
���¿��ټ��� �߼�����
   ��ҳ  �ڿ�����  ��ί��  Ͷ��ָ��  �ڿ�����  ��������  �� �� ��  ��ϵ����
�������պ����ѧѧ�� 2008, Vol. 34 Issue (01) :27-30    DOI:
���� ����Ŀ¼ | ����Ŀ¼ | ������� | �߼����� << | >>
���ڷֲ�ʽ�����Ŵ��㷨�ĵ���ϵͳ�޹��Ż�
������1, ���˻�1, ʢ����2*
1�������պ����ѧ �Զ�����ѧ���������ѧԺ, ���� 100083;
2. �й�������ѧ�о�Ժ,����,100085
Optimal research of distributed parallel genetic algorithm for reactive power optimization
Liu Keyan1, Li Yunhua1, Sheng Wanxing2*
1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
2. China Electric Power Research Institute, Beijing, 100085, China

ժҪ
�����
�������
Download: PDF (334KB)   HTML 1KB   Export: BibTeX or EndNote (RIS)      Supporting Info
ժҪ ��Դ�ͳ�Ŵ��㷨Ѱ�����������ʱ�䳤������,����˻��ڼ������Ⱥ��һ���µķֲ�ʽ�����Ŵ��㷨�������ϵͳ�޹��Ż�����.�����Ŵ�ģ���˻��㷨�ͷֲ�ʽ���м���MPI(Message Passing Interface)����,ʵ�ֶ���̵ķֲ�ʽ��Ⱥ����.���㷨ͨ������Ǩ�Ʋ�����Э���Ż���������Ⱥ,ʹ�ü���Ч�����жϼ��㸺��״̬,���ö�̬��Ⱥ�����и���ƽ��.ͨ�����ñ�׼��������IEEE14�ڵ��һ��ʵ�ʵ���ϵͳ���޹��Ż�����,������������㷨���кܸߵ��ȶ���,�нϺõIJ���Ч��,�ʺ������ģ����ϵͳ���޹��Ż�����.
Service
�ѱ����Ƽ�������
�����ҵ����
�������ù�����
Email Alert
RSS
�����������
������
���˻�
ʢ����
�ؼ����� ��Ⱥ����   �����Ŵ��㷨   ��̬��Ⱥ   ���ؾ���   ����Ǩ��     
Abstract�� A distributed parallel genetic algorithm based on personal computer (PC) cluster was proposed to solve reactive power optimization, aiming at the disadvantage of traditional genetic algorithm, such as the bad searching quality and long computation time. It adopts the improved genetic simulated annealing algorithm and distributed parallel technique message passing interface (MPI), to implement the distributed computing on PC cluster. The algorithm uses the individual migration strategy to collaboratively optimize every process. The dynamic populations are adopted to balance the computing load. An IEEE 14 test system and a practical power system are tested. The results reveal that the algorithm has a good stable searching capacity and good parallel efficiency. The proposed method can be used to solve the reactive power optimization of large-scale power system.
Keywords�� cluster computing   parallel genetic algorithm   dynamic population   load balance   individual migration     
Received 2006-12-29;
Fund:

�����ص�����о���չ�ƻ�������Ŀ(G1998030405)

About author: ������(1978��),��,����֣����,��ʿ��,liukeyan@asee.buaa.edu.cn.
���ñ���:   
������,���˻�,ʢ����.���ڷֲ�ʽ�����Ŵ��㷨�ĵ���ϵͳ�޹��Ż�[J]  �������պ����ѧѧ��, 2008,V34(01): 27-30
Liu Keyan, Li Yunhua, Sheng Wanxing.Optimal research of distributed parallel genetic algorithm for reactive power optimization[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2008,V34(01): 27-30
���ӱ���:  
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2008/V34/I01/27
Copyright 2010 by �������պ����ѧѧ��