این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Nonlinear Analysis and Applications، جلد ۱۲، شماره Special Issue، صفحات ۱۰۷۵-۱۰۹۰
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Hybrid swarm evolutionary programming for optimal distributed generation in distribution system
چکیده انگلیسی مقاله This paper discusses the incorporation of the Hybrid Swarm Evolutionary Programming (SEP) for optimal distributed generation (DG) in the distribution system. High load demand will result in unstable control power distribution due to power transmission loss. The compensation process can be implemented by installing a compensation device to prevent this from happening. It is required the optimal sizing and location for the devices to achieve the objective and this can be done by using an optimization technique. Thus, this project aims to develop a hybrid computational intelligence technique is called hybrid SEP for loss minimization. The proposed method embedded the element of Particle Swarm Optimization (PSO) into traditional Evolutionary Programming (EP) to improve precision of traditional EP algorithm. The purpose of this study is to investigate the maximum benefits of DG integration to be gained. The proposed techniques are validated on IEEE-69 bus radial system with multiple units of DG. The results showed that the most effective type of DG inject to IEEE-69 bus radial system is with DG Type III, with 95% of active power loss reduction and the best on voltage profile improvement. Hybrid SEP shows superior to EP in term of loss minimization.
کلیدواژه‌های انگلیسی مقاله Distributed generation, Evolutionary programming, Hybrid Swarm evolutionary programming
نویسندگان مقاله Siti Rafidah Abdul Rahim |
Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Perlis, Malaysia

Yeap Chuan Liang |
Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Perlis, Malaysia

Muhamad Hatta Hussain |
Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Perlis, Malaysia

Ismail Musirin |
School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

Syahrul Ashikin Azmi |
Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Perlis, Malaysia

Azralmukmin Azmi |
Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Perlis, Malaysia

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_5570_6326a28766bf5d82ab74346c301c153a.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات