Modified Antipredatory Particle Swarm Optimization for Dynamic Economic Dispatch with Wind Power

المؤلفون المشاركون

Shi, Liping
Chen, Kai
Han, Li
Wang, Shuhuan
Lu, Junjie

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-17، 17ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-10-23

دولة النشر

مصر

عدد الصفحات

17

التخصصات الرئيسية

هندسة مدنية

الملخص EN

A modified antipredatory particle swarm optimization (MAPSO) algorithm with evasive adjustment behavior is proposed to solve the dynamic economic dispatch problem of wind power.

The algorithm adds the social avoidance inertia weight to the conventional antipredatory particle swarm optimization (APSO) speed update formula.

The size of inertia weight is determined by the distance between the global worst particle and other particles.

After normalizing the distance, the inertia weight is controlled within the ideal range by using the characteristics of sigmoid function and linear decreasing method, which improves the ability of particles to avoid the worst solution.

Then, according to the characteristics of the acceleration coefficient which can adjust the local and global searching ability of particles, acceleration coefficients of nonlinear change strategy is proposed to improve the searching ability of the algorithm.

Finally, the proposed algorithm is applied to several benchmark functions and power grid system models, and the results are compared with those reported using other algorithms, which prove the effectiveness and superiority of the proposed algorithm.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Chen, Kai& Han, Li& Wang, Shuhuan& Lu, Junjie& Shi, Liping. 2019. Modified Antipredatory Particle Swarm Optimization for Dynamic Economic Dispatch with Wind Power. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1196234

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Chen, Kai…[et al.]. Modified Antipredatory Particle Swarm Optimization for Dynamic Economic Dispatch with Wind Power. Mathematical Problems in Engineering No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1196234

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Chen, Kai& Han, Li& Wang, Shuhuan& Lu, Junjie& Shi, Liping. Modified Antipredatory Particle Swarm Optimization for Dynamic Economic Dispatch with Wind Power. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1196234

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1196234