Reactive Power Optimization of Power System with Electric Energy Router Applying Modified Teaching-Learning Algorithm

Fanping CONG; Jianping ZHOU; Dajun MAO; Guoqing QI; Zufan HUANG

doi:10.12204/j.issn.1000-7229.2022.06.012

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Electric Power Construction ›› 2022, Vol. 43 ›› Issue (6) : 110-118. DOI: 10.12204/j.issn.1000-7229.2022.06.012

Smart Grid

Reactive Power Optimization of Power System with Electric Energy Router Applying Modified Teaching-Learning Algorithm

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Abstract

In this paper,an improved teaching and learning algorithm based on roulette wheel selection and adaptive Corsi variation strategy is proposed to solve the convergence and diversity problems of the traditional intelligent algorithm and it is applied to the reactive power optimization of power system with electric energy router (EER). The algorithm introduces roulette selection method in the learning phase to improve the learning efficiency of the group, and adopts adaptive Cauchy mutation strategy after the teaching to enhance the diversity of the class population, which avoids falling into local optimal solutions in the iterative process. Then, a reactive power optimization model is established with the objective function of minimizing active network loss and voltage deviation. The modified IEEE RTS-79 standard test system is used as an example for simulation analysis. The results show that the improved algorithm has both convergence and diversity, which has better optimization effect than the traditional algorithm.

Key words

electric energy router (EER) / teaching-learning algorithm / roulette wheel selection / adaptive Cauchy mutation / reactive power optimization

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Fanping CONG , Jianping ZHOU , Dajun MAO , et al . Reactive Power Optimization of Power System with Electric Energy Router Applying Modified Teaching-Learning Algorithm[J]. Electric Power Construction. 2022, 43(6): 110-118 https://doi.org/10.12204/j.issn.1000-7229.2022.06.012

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