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).