基于智能旁路二极管对遮阴影响下的太阳能模组优化设计

为了避免光伏电池在局部遮挡情况下的热斑效应,通常在一定数量电池元的两侧并联旁路二极管,然而由于旁路二极管的反向偏置,容易造成模组的局部加热现象,不可避免地导致光伏组件损坏或过早的失效。因此,提出智能规划旁路二极管的拓扑结构,结合串并联的光伏阵列拓扑建立了电路模型,并将太阳能模组电压的大小作为控制二极管拓扑结构的开关状态的判定规则,降低旁路二极管的导通损耗,最大限度地提高电池板的输出电能与使用年限。进一步探究了基于智能控制系统的MPPT策略,在计算获得GMPP点所在的UOVSR区间后,对该特定的区域采用优化粒子群算法进行最大功率点寻优。仿真结果表明该算法可以快速跟踪到GMPP。该方法利用小区域搜索代替全局搜索,具有速度快和准确性高的特点,可有效降低跟踪过程中的能量损耗。

Optimization design of solar module based on intelligent bypass diode under shadow effect

In order to avoid the hot spot effect of solar panels in local shadow, it usually connects bypass diodes in parallel at both sides of some cells, but the reverse bias of bypass diode causes solar modules to local heating phenomenon easily, which inevitably leads to damage or premature failure of PV modules. Therefore, this paper proposes the topological structure of intelligent planning with bypass diodes, a circuit model combining series and parallel photovoltaic array topology is established, and the value of solar module voltage is taken as the decision rules of controlling switch state of diode topology to reduce conduction loss of bypass diode and maximize the output power and service life of solar panel. The MPPT strategy based on intelligent control system is explored further. After UOVSR interval of the GMPP point is obtained, this paper optimizes the maximum power point in the given area by using particle swarm optimization algorithm. Simulation results show that the algorithm can track GMPP quickly. This method uses small area search instead of global search, has the characteristics of fast speed and high accuracy, and can reduce energy loss in the tracking process effectively. This work is supported by Science and Technology Development Project of Jilin Province (No. 20140101079JC) and Jilin Science and Technology Department Project (No. 2014Y124).