Rahim, Siti Rafidah Abdul, Liang, Yeap, Hussain, Muhamad, Musirin, Ismail, Azmi, Syahrul, Azmi, Azralmukmin. (1400). Hybrid swarm evolutionary programming for optimal distributed generation in distribution system. هنرهای کاربردی, 12(Special Issue), 1075-1090. doi: 10.22075/ijnaa.2021.5570
Siti Rafidah Abdul Rahim; Yeap Chuan Liang; Muhamad Hatta Hussain; Ismail Musirin; Syahrul Ashikin Azmi; Azralmukmin Azmi. "Hybrid swarm evolutionary programming for optimal distributed generation in distribution system". هنرهای کاربردی, 12, Special Issue, 1400, 1075-1090. doi: 10.22075/ijnaa.2021.5570
Rahim, Siti Rafidah Abdul, Liang, Yeap, Hussain, Muhamad, Musirin, Ismail, Azmi, Syahrul, Azmi, Azralmukmin. (1400). 'Hybrid swarm evolutionary programming for optimal distributed generation in distribution system', هنرهای کاربردی, 12(Special Issue), pp. 1075-1090. doi: 10.22075/ijnaa.2021.5570
Rahim, Siti Rafidah Abdul, Liang, Yeap, Hussain, Muhamad, Musirin, Ismail, Azmi, Syahrul, Azmi, Azralmukmin. Hybrid swarm evolutionary programming for optimal distributed generation in distribution system. هنرهای کاربردی, 1400; 12(Special Issue): 1075-1090. doi: 10.22075/ijnaa.2021.5570

Hybrid swarm evolutionary programming for optimal distributed generation in distribution system

International Journal of Nonlinear Analysis and Applications
دوره 12، Special Issue، اسفند 2021، صفحه 1075-1090    اصل مقاله (507.33 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5570
نویسندگان
Siti Rafidah Abdul Rahim* 1؛ Yeap Chuan Liang1؛ Muhamad Hatta Hussain1؛ Ismail Musirin2؛ Syahrul Ashikin Azmi1؛ Azralmukmin Azmi1
1Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Perlis, Malaysia
2School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
چکیده
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.
کلیدواژه‌ها
Distributed generation؛ Evolutionary programming؛ Hybrid Swarm evolutionary programming
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