Extracting solar cell model parameters based on chaos particle swarm algorithm

By Huang Wei, Jiang Cong, Lingyun Xue, Song Deyun. International Conference on Electric Information and Control Engineering, 2011

173 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/1951bf113a96771d6f0c160626a8f7dfa536a920

How researchers see this paper

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In Electrical and Electronic Engineering

1. Zhihua Cai
2. Wenyin Gong

In Renewable Energy, Sustainability and the Environment

1. Zhihua Cai
2. Wenyin Gong

Citations in the corpus

• A parameter extraction technique exploiting intrinsic properties of solar cells (2016, unknown): “…from the dataset as follows: V OC ¼ 0 : 5727 V, I SC ¼ 0 : 7605 A, V M ¼ 0 : 45 V and I M ¼ 0 : 69 A. Table 3 shows the extracted parameters, calculated by the proposed method and by eight reference techniques: LMSA [25], CPSO [21], SA [23], PS [18], BMO [20], ABSO [22], GA [17], and Newton [12].”
• Parameter extraction of solar cell models using repaired adaptive differential evolution (2013, methodology): “Item Newton [41] Method in [42] CPSO [20] Method in [43] PS [7] SA [27] Rcr-IJADE Iph (A) 1.”