欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
提出一种变异粒子群算法（MPSO），通过在粒子群算法中引入变异，可改善其跳出局部最优解的能力。变异粒子群算法采用有限的粒子数目即可实现阴影条件下光伏系统的最大功率点跟踪，而无需知道旁路二极管的数目，具有通用性。对变异粒子群算法进行的仿真和试验可证明该算法的有效性。
英文摘要：
A mutation particle swarm optimization （MPSO） was proposed, which improves the ability to break from local optimum by introducing mutation in PSO. MPSO is of generality, since it can accomplish MPPT of photovohaic array with partially diodes. Simulation shading only with finite numbers of particles, and experimentation were performed to verify which is unnecessary to know the numbers of bypass the proposed MPSO. Simulation and experimentation results prove its validness.
同期刊论文项目
同项目期刊论文
Small-signal modelling and analysis of wind turbine with direct drive permanent magnet synchronous g
Pulse width modulation AC/DC converters with line current harmonics minimisation and high power fact
Zero-Voltage-Switching PWM Full-Bridge Converter Employing Auxiliary Transformer to Reset the Clampi
Symmetrical short circuit current characteristics of doubly fed induction generator wind turbine wit
Full Feedforward of Grid Voltage for Discrete State Feedback Controlled Grid-Connected Inverter With
Multiple-Complex Coefficient-Filter-Based Phase-Locked Loop and Synchronization Technique for Three-
Improved current regulation of three-phase grid-connected voltage-source inverters for distributed g
Flexible Control of Three-Phase Distributed Generation Systems for Voltage Rise Mitigation in Microg
期刊信息
位置：