动态评价粒子群优化及风电场微观选址 - 控制理论与应用.pdfVIP

28 4 Vol. 28 No. 4 2011 4 Control Theory Applications Apr. 2011 :2011 , , , (1. , 100084; 2. , 201804; 3. , 100084) : . , , . , , . , . , . , . : ; ; : TP202.7 : A Dynamic evaluation based particle swarm optimization and wind farm micrositing WAN Chun-qiu , WANG Jun , YANG Geng , ZHANG Xing (1. Department of Automation, Tsinghua University, Beijing 100084, China; 2. Department of Control Science and Engineering, Tongji University, Shanghai 201804, China; 3. School of Aerospace, Tsinghua University, Beijing 100084, China) Abstract: A dynamic fitness evaluation method is proposed to handle constrained optimization problems. The values of the objective and the constraint violation are both dynamically normalized and summed up with corresponding weights to evaluate the fitness values. The proposed method not only overcomes the difficulty in tuning the coefficients of penalty function, but also increases the diversity and global search ability of the optimization algorithm. It is applied to the particle swarm optimization algorithm to solve the optimization problem in micrositing a wind farm. Simulation results demonstrate that the power generated by the wind farm is increased, so is the efficiency of wind energy exploitation. Moreover, the proposed method can be widely applied to other optimization algorithms to solve constrained optimization problems. Key words: dynamic evaluation; particle swarm optimization algorithm; micrositing of wind farm 1 (Introduction)