电力系统保护与控制2024，Vol.52Issue(16)：12-25,14.DOI:10.19783/j.cnki.pspc.231598
基于指数分布优化器的混合光伏-温差系统最大功率点跟踪
Hybrid PV-TEG system maximum power point tracking based on an exponential distribution optimizer
摘要
Abstract
To solve the maximum power point tracking(MPPT)problem of a hybrid photovoltaic-thermoelectric generator(PV-TEG)system to improve energy conversion efficiency and utilization,a hybrid PV-TEG system MPPT technique based on an exponential distribution optimizer(EDO)algorithm is proposed.The EDO searches the potential solution space by modeling random variations of the exponential distribution.Because of the randomness,the algorithm can effectively avoid falling into a local optimum under partial shading condition(PSC),and explores extensively in the search space to find the optimal solution.The case study includes four parts:start-up test,step change of solar irradiance,stochastic variation,and actual cases of four seasons in Hong Kong,and is compared to and analyzed with five other algorithms to more comprehensively verify the feasibility and effectiveness of the proposed EDO technique in the application of hybrid system MPPT.The simulation results show that the hybrid PV-TEG system with EDO can achieve superior MPPT performance stably and efficiently in different operating conditions.In particular,the energy generated by EDO in low irradiance conditions in spring exceeds 68.85%,66.13%,and 59.69%of the energy outputs of the dragonfly algorithm(DA),incremental conductance method(INC),and perturbation observation method(P&O),respectively.关键词
指数分布优化器/最大功率点跟踪/混合光伏-温差系统Key words
exponential distribution optimizer/maximum power point tracking/hybrid PV-TEG system引用本文复制引用
杨博,谢蕊,武少聪,韩一鸣..基于指数分布优化器的混合光伏-温差系统最大功率点跟踪[J].电力系统保护与控制,2024,52(16):12-25,14.基金项目
This work is supported by the National Natural Science Foundation of China(No.62263014 and No.52207109). 国家自然科学基金项目资助(62263014,52207109) （No.62263014 and No.52207109）
云南省基础研究专项资助(202201AT070857) （202201AT070857）
