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All Journal IPTEK Journal of Proceedings Series TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknik Elektro Jurnal Teknologi Semesta Teknika Jurnal Teknik Elektro Journal of Electrical Technology UMY Emerging Science Journal BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Prosiding Seminar Nasional Program Pengabdian Masyarakat
Ramadoni Syahputra
Universitas Muhammadiyah Yogyakarta
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Medicine & Pharmacology Social Sciences

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Journal : IPTEK Journal of Proceedings Series

 1 
Distribution Network Efficiency Improvement Based on Fuzzy Multi-objective Method Ramadoni Syahputra; Imam Robandi; Mochamad Ashari
IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2014i1.422

Abstract

This paper presents a reconfiguration methodology based on a fuzzy multi-objective approach for achieving the minimum active power loss and the maximum voltage magnitude of radial distribution networks with distributed generations in order to improve the distribution system efficiency. Multi-objective function are considered for load balancing among the feeders, minimization of the real power loss, and deviation of bus voltage, while subject to a radial network structure in which all loads must be energized. These objective functions are modeled with fuzzy sets to evaluate the imprecise nature of each objective. Originality of the research is that the fuzzy-based multi-objective optimization in reconfiguration of distribution network including the distributed generation. The implementation of the fuzzy multi-objective for distribution reconfiguration on a 77 bus distribution network with distributed generation is described. The simulation results show that a 1.80% of electric power distribution network efficiency improvement is achieved by the method
Power Flow Control of Power Systems Using UPFC Based on Adaptive Neuro Fuzzy Agus Jamal; Ramadoni Syahputra
IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2014i1.423

Abstract

Optimization of system capacity electric power transmission systems requires a reliable power flow controller. The power flow controllers must be able to control the level of electrical voltage and active and reactive power flow without reducing the level of stability and security of the transmission system. Latest technology in the control of power flow is a Unified Power Flow Controller (UPFC). The entire transmission line parameters are impedance, voltage, and phase angle can be controlled simultaneously by the UPFC. The method used in the conventional algorithms based UPFC is still firmly with logic. These algorithms have difficulties to electric power transmission systems multimachine very dynamic, i.e. systems that are experiencing rapid changes in the electrical load from time to time. Therefore, in this study was developed based on neuro-fuzzy method is applied to the adaptive UPFC for adaptively controlling the power flow in electric power transmission systems multimachine very dynamic. In this study, three phase fault is applied to the multimachine system. The results are taken to be consideration of PI and neuro-fuzzy controllers. The PI and neuro-fuzzy controllers show nearly same results but there is a low overshoot occurred during the fault in the neuro-fuzzy controllers results. According to results that UPFC improves the system performance under the transient and the normal conditions. However, it can control the power flow in the transmission line, effectively.
Co-Authors Agus Jamal Agus Jamal Ahdi Kurniawan Altama, Gady Andi Wahyu Nugroho Anna Nur Nazilah Chamim Anna Nur Nazilah Chamim Anna Nur Nazilah Chamim Anna Nur Nazilah Chamim Anna Nur Nazilah Chamim Aprilian, Salman Muntaqo Ardianta, Dimas Septe Arrozak, Loudy Fajar Danis Dwi Istiawan Dedy Prasetiyo Destria Yoga Ningrum Dwi Susanto Faaris Mujaahid Faaris Mujaahid Faaris Mujaahid Faaris Mujaahid, Faaris Fahrian Noor Fauzi, Argi Mochamad Febrian Dhimas Syahfitra Firdaus, Ilyas Eryansyah Gatot Supangkat Girindra Rosyadi Hedi Purwanto Hernawa Maulana Hidayat, Arief Rahman Imam Robandi Indah Soesanti Isnaini Muallidin iswanto iswanto Jamaaluddin Jeckson, Jeckson Jimmy Trio Putra Jusman, Yessi Karisma Trinanda Putra Karisma Trinanda Putra Karisma Trinanda Putra Karisma Trinanda Putra, Karisma Trinanda Khaidir Ali, Khaidir Khomarudin, Riki Kunnu Purwanto Kunnu Purwanto Kunnu Purwanto Kunnu Purwanto Kunnu Purwanto Mochamad Ashari Muhammad Heri Zulfiar Mustar, Muhamad Yusvin Mustika, Doane Puri Noor, Fahrian Oki Iwan Pambudi Pamungkas, Rizky Catur Peggy Irawan, Agil Prasetyo, Teguh Iman Purwanto, Kunnu Putra, Jimmy Trio Revi Muhammad Fasha Riki Khomarudin Ryan Permana Putra Setiawan, Aditiya Siregar, Rahmat Fauzi Subarkah, Yudha Agung Suripto, Slamet Syahfitra, Febrian Dhimas Taufiq Akbar Teguh Iman Prasetyo Teguh Iman Prasetyo Tony K Hariadi Widyasmoro, Widyasmoro Wiyagi, Rama Okta