摘要
针对定日镜场优化调度的光功率控制问题,鉴于目前调度数学模型不准确、算法运行效率低、速度慢等缺点,改进并优化设计调度模型和调度算法,通过考虑镜场的能耗因素,提高模型的精度和准确性;设计一种混合式遗传算法,采用惩罚项建立适应度函数,引入自适应搜索空间提高算法效率和运行速度。仿真结果验证了该调度模型和算法的准确性和快速性。
Aiming at control problem of optical output power for optimized dispatch of heliostats fields, the mathematic models of optimized dispatch and algorithm were designed and improved, compared to the shortages for present dispatching model and algorithm, such as dispatching mathematic model was inaccurate, and dispatching algorithm was low efficiency and speed. To consider the energy consumption of heliostats filed, the precision and accuracy of dispatching model were improved largely. Besides, composite genetic algorithm was designed, and fitness function was established by adding punishing terms, and adaptive searching space was led to improve algorithm efficiency and running speed. The simulation results validate that the model is accurate and algorithm is high speed.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2014年第8期1467-1472,共6页
Acta Energiae Solaris Sinica
基金
国家高技术研究发展(863)计划(2006AA050104)
关键词
塔式
定日镜场
优化调度
光功率控制
遗传算法
tower
heliostats field
optimized dispatch
control of optical output power
genetic algorithm
