PARAMETER IDENTIFICATION OF LOAD MODEL OF PHOTOVOLTAIC POWER GENERATION SYSTEM BASED ON CHAOTIC SEAGULL OPTIMIZATION ALGORITHM

Sheng Siqing; Guan Haowen; Lei Yetao; Zhang Wenchao; Pan Xiaojie; Shao Chong; Wang Yutong

doi:10.19912/j.0254-0096.tynxb.2021-0571

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (7) : 64-72. DOI: 10.19912/j.0254-0096.tynxb.2021-0571

PARAMETER IDENTIFICATION OF LOAD MODEL OF PHOTOVOLTAIC POWER GENERATION SYSTEM BASED ON CHAOTIC SEAGULL OPTIMIZATION ALGORITHM

Sheng Siqing¹, Guan Haowen¹, Lei Yetao², Zhang Wenchao², Pan Xiaojie³, Shao Chong⁴, Wang Yutong⁵

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Abstract

Aiming at the problem that distributed photovoltaic power generation systems are widely connected to the distribution network, resulting in low power flow calculation speed and accuracy, this paper proposes a parameter identification model of photovoltaic power generation system load models based on chaotic seagull optimization algorithm. First, the load model of the equivalent photovoltaic power generation system is connected to the virtual bus of the comprehensive load model to establish a generalized load model of the distribution network; then, an optimization algorithm combining chaos optimization and seagull optimization is proposed, based on this algorithm Complete the equivalence of the distribution network, and on this basis, carry out the parameter identification of the comprehensive load model including photovoltaic power generation. Finally, simulations show that the proposed algorithm is superior to traditional particle swarm optimization and single seagull optimization in terms of calculation accuracy and convergence speed, and can be applied to load model parameter optimization.

Key words

photovoltaic power generation / load model / parameter identification / seagull optimization algorithm

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Sheng Siqing, Guan Haowen, Lei Yetao, Zhang Wenchao, Pan Xiaojie, Shao Chong, Wang Yutong. PARAMETER IDENTIFICATION OF LOAD MODEL OF PHOTOVOLTAIC POWER GENERATION SYSTEM BASED ON CHAOTIC SEAGULL OPTIMIZATION ALGORITHM[J]. Acta Energiae Solaris Sinica. 2022, 43(7): 64-72 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0571

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