Quantum Particle Swarm Optimization Based on P Systems for Applications in the Economic Operation of Micro-grid
The strategies of economy micro-grid are made based on the mathematical model of wind turbines(WT),photovoltaic(PV),fuel cells(FC),micro gas turbine(MT),and other types of distributed power.And the optimization model is built by considering the costs of power generation,pollution control,operation and maintenance,and so on.The quantum particle swarm optimization which is based on P system(QPSOPS)is proposed in this paper according to the model and it is implemented using MATLAB programming.Not only the conversion operations from serial to parallel are achieved,but also the convergence speed and accuracy are improved in the algorithm.The results of QPSOPS and QPSO algorithm are compared in this paper through a micro-grid example.The results show that the QPSOPS algorithm has advantages of high accuracy,fast convergence,which can reduce the running costs of micro-grid and realize the economic operation of micro-grid.
Micro-grid Economicm operation P systems QPSOPS(quantum particle swarm optimization)
Tingting He Jun Wang Zhang Sun Tao Liu
School of Electrical and Information Engineering,Xihua University,No 999 JinZhou Road,Chengdu City,JinNiu,China
国际会议
The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)
福州
英文
521-529
2015-05-08（万方平台首次上网日期，不代表论文的发表时间）