智能算法在聚光镜场调度中的应用研究  

APPLICATION RESEARCH OF HELIOSTATS FIELD SCHEDULING WITH INTELLIGENT ALGORITHM

作　　者：丁婷婷[1] 祝雪妹[1] 

机构地区：[1]南京师范大学电气与自动化工程学院,南京210042

出　　处：《太阳能学报》2014年第11期2139-2144,共6页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(61273100);国家高技术研究发展(863)计划(2013AA050201)

摘　　要：以系统获得最佳效率为目的,结合定日镜的反射率、余弦效率和大气透射率等因素,建立聚光镜场调度的数学模型,并将该调度模型转换为0-1背包问题进行描述。针对该问题,采用贪婪算法并将此算法与微粒群算法及遗传算法相结合进行求解,分别得到各时刻系统最佳时,需投入运行的定日镜数量和分布。圆形聚光镜场的算例表明了上述算法的有效性与混合遗传算法的优越性。进一步提出分时段优化的调度策略,可降低聚光镜场的运行成本、提高调度策略的可行性。For the purpose of obtaining optimum efficiency, on the basis of the optic imaging effect among solar, heliostats and receiver, a scheduling model was established by considering direct normal irradiance, reflectance of heliostat, cosine efficiency and atmospheric transmittance. A 0-1 knapsack problem was used to describe the scheduling model. This problem was resolved with greedy algorithm which was combined with standard particle swarm optimization algorithm and hybrid genetic algorithm respectively. From the simulation results, we can obtain the number and the distribution diagram of heliostats when conversion efficiency of system is optimal. The example of circle heliostats field showed the validity of theses algorithm and superiority of hybrid genetic algorithm. Furthermore, subsection scheduling strategy was propounded which decreases running cost of heliostats filed and improves the effectiveness of scheduling strategy.

关 键 词：聚光镜场 效率 调度 智能算法 

分 类 号：TM615[电气工程—电力系统及自动化]