Abstract: When photovoltaic panels are under uneven solar irradiation, the problem of low power generation efficiency arises. In order to solve the problem a chaotic Harris hawk algorithm combined with the conductivity increment method is proposed. The Harris Hawk algorithm introduces Levy flight function and Henon chaotic mapping to expand the search range of the algorithm in the early stage of tracking. Then the optimal individual strategy is introduced, which can further reduce the number of iterations of the algorithm. The algorithm makes it easier for the system to jump out of the local maximum power point, while in the late stage of tracking, the algorithm runs precisely in a small range, improving the local exploitation capability. The use of the conductance increment method alleviates the power oscillations when the system is located near the GMPP (Global Maximum Power Point) and stabilizes the output. 

Key words: henon chaotic mapping, chaotic harris hawk algorithm, levy flight, incremental conductivity method, global maximum power point (GMPP)