中低温分布式热电发电系统MPPT优化控制研究

Research on MPPT Optimization Control of Low and Medium Temperature Distributed Thermoelectric Power Generation System

由于热电系统存在换热的差异导致每个热电片(TEG)输出不均匀,因此研究了分布式与集中式最大功率跟踪(MPPT)在热电发电系统的差别影响。搭建了由32片TEG构成的热电系统实验台,实验过程是在入口空气温度为150℃、200℃、250℃,空气流量分别为12 kg/h、14 kg/h、16 kg/h共计九种工况下展开的。实验表明,输出功率并不是简单地沿热流进口端递减的,且分布式MPPT下的热电发电能够真正实现最大功率输出。在热电发电输出特性基础上提出滤波下的改进短路电流结合粒子群(PSO)实现分布式MPPT算法,并仿真验证了所提出算法的可行性。

Due to the difference of heat transfer in thermoelectric systems,the output of each thermoelectric generation(TEG)is not uni-form,so the differential influence of distributed and centralized MPPT on thermoelectric systems is studied.A laboratory furniture com-posed of 32 TEGs for the thermoelectric system is built.The experiment is carried out under nine operating conditions with inlet air tem-perature of 150℃,200℃,250℃and air flow rate of 12 kg/h,14 kg/h,16 kg/h.The experimented results show that the output power of thermoelectric generation is not simply decreasing progressively along the heat flow inlet,and the thermoelectric generation under dis-tributed MPPT can really achieve the maximum power output.Based on the output characteristics of thermoelectric power generation,an improved short-circuit current combined with particle swarm optimization(PSO)is proposed to realize the distributed MPPT algorithm,and the feasibility of the proposed algorithm is verified through simulation.