Maximum Power Point Tracking for Photovoltaic Systems Based On Exponential Variable Step Size Incremental Conductance Algorithm

doi:10.11930/j.issn.1004-9649.201803193

Abstract

Abstract: Photovoltaic maximum power point tracking algorithms are designed to maximize the usage of electricity generated by photovoltaic cells, which has become a research hotspot to improve the operational efficiency of photovoltaic power generation system and reduce the cost of photovoltaic energy. In this paper, the existing drawbacks are first analyzed such as slow convergence, steady-state oscillation, falling into local optimum and the low efficiency of photovoltaic power generation. Secondly, an exponential variable step size incremental conductance algorithm with threshold value criteria and variable step size is proposed. In addition to the rapid tracing advantage inherited from conventional incremental conductance algorithm, the approach proposed in this paper can track the global maximum power point accurately and stably. Finally, simulation experiments under different operating conditions were carried out to verify the feasibility and applicability of the above algorithm.

Key words: shadow, incremental conductance method, perturb and observe method, index variable step conductance increment method

CLC Number:

TM743

TU Yanan, YU Aiqing, XUE Hua, WANG Yufei. Maximum Power Point Tracking for Photovoltaic Systems Based On Exponential Variable Step Size Incremental Conductance Algorithm[J]. Electric Power, 2018, 51(11): 132-138.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201803193

https://www.electricpower.com.cn/EN/Y2018/V51/I11/132

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