Optimal Locating and Sizing of DG in Radial Distribution System Using Modified Shuffled Frog Leaping Algorithm

Abstract

Several advantages have been achieved in distribution systems by adding Distributed Generation (DG). These benefits comprise minimizing power losses and improving the voltage profiles. Such benefits can be enhanced if DGs are optimally sized. This paper presents a DG in the distribution scheme to increase node voltages and reduce the power loss of radial distribution systems by using the Modified Shuffled Frog Leaping Algorithm (MSFLA) technique. The core objective is to decrease active-power losses of the system while keeping the voltage profiles within the defined limits of the system. This paper optimally allocates and sizes three types of DGs in various standard radial test systems and a practical radial feeder. Single and multiple DGs are considered for the proposed work by including some special cases. The standard test systems on which proposed work is performed are 33-bus and 69-bus radial feeders. A practical 43-bus radial feeder of factory area Faisalabad has also been taken under consideration for analysis. The Forward–Backward Sweep (FBS) scheme is selected for the load flow analysis, whereas MSFLA is chosen for finding of optimum size(s) and site(s) of DG(s). Various types of DGs results are retained separately and collectively. We have reduced the losses up to 85.14% and 96.1% for the 33-bus system and 69-bus respectively. The results will depict a significant improvement, both in the minimization of losses and also in improving the voltage profile. The results of multi DGs placement will be much more promising than those achieved after placing them independently.

Keywords:

• Distributed generation (DG)
• DG sizing and siting
• Modified Shuffled Frog Leaping Algorithm (MSFLA)

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Rao Muhammad Asif

Rao Muhammad Asif was born in Punjab, Pakistan, in 1991. He received the BS degree in electrical engineering from Superior University, Lahore, Pakistan, in 2013 and MS degree in electrical engineering with a specialization in power from the same University, in 2015. He completed his PhD degree in electrical engineering from Superior University Lahore, Pakistan, in the year 2021. As a part of Superior University, Pakistan, he worked as a lab engineer from 2013 to 2015 directly and indirectly in the electrical and electronics domains on different final year projects as a supervisor. As a lecturer, he worked at Superior University from 2015 to 2021 supervised multiple theses. He is currently the Program In charge of Biomedical Engineering Technology Department and assistant professor in the Department of Electrical Engineering, The Superior University Lahore, Pakistan. His research interests include massive MIMO, smart grid applications, 5G and beyond, IoT, machine learning, and renewable energy systems. Email: [email protected]

Ateeq Ur Rehman

Ateeq Ur Rehman received the BS degree in electrical (telecommunication) engineering from COMSATS Institute of Information Technology, Lahore, Pakistan, in 2009 and MS degree in electrical engineering with a specialization in telecommunications from the Blekinge Institute of Technology (BTH), Karlskrona, Sweden in 2011. From 2011 to 2012, he was a lecturer with the Department of Electrical Engineering, University of South Asia, Lahore, Pakistan. From 2012 to 2016, he joined the Faculty of Engineering and Technology, The Superior College (University Campus) Lahore, Pakistan, in the capacity of a lecturer. Since 2016, he is working as a lecturer at Government College University (GCU), Lahore, Pakistan. Currently, he is pursuing PhD degree in the College of Internet of Things (IoT) Engineering, Hohai University (HHU), Changzhou Campus, China. He has contributed to various international IEEE conferences and journals of. His current Cumulative Impact Factor is 300+ (as per JCR, 2021). His research interests include biomedical signal processing, internet of things (IoTs), social internet of things (SIoTs), and big data.

Naif Alsharabi

Naif Alsharabi is an associate professor of computer networks at Amran University in Amran, Yemen. He obtained his undergraduate degree in computer science (1997) from Technology University in Baghdad, He received his master's and PhD in wireless communication networks from Hunan University in Hunan Province, China, in 2005 and 2008. Currently, Naif working as an associate professor in Computer Engineering Department at College of Computer Science and Engineering, University of Hai'l from March 2021 until now. His research interests span computer networking, information security, deep learning and data science. Email: [email protected]

Sajjad Rabbani

Sajjad Rabbani was born in Pakistan in 1967. He graduated from the University of Engineering and Technology (UET), Taxila in electrical engineering in the year 1994, and obtained a master's degree from University of Engineering and Technology (UET), Lahore in 2007. He is pursuing his PhD in electrical engineering from Superior University, Lahore. Currently, he holds the position of assistant professor in the Department of Electrical Engineering, at Lahore College for Women University, Pakistan. His research interests include microgrid control and wireless communication systems. Email: [email protected]

Mustafa Shakir

Mustafa Shakir completed his PhD in information and communication engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 2008. He has published papers at international and national journals/conferences in the areas of wireless communications, networking protocols, architectures, and renewable energy systems. He has the status of HEC-approved supervisor. He is the member of IEEE, Pakistan Engineering Council and ACM. He is currently serving as the chairman and associate professor at Department of Electrical Engineering, The Superior University, Lahore Pakistan. Email: [email protected]

Nauman Malik

Nauman Malik was born in Sargodha, Pakistan, in 1987. He received his BTech (Hons) degree in electronics from Preston University, Islamabad, Pakistan, in 2012 and MSc degree in electronics from The Same university in 2014. He pursued his MS degree in electrical engineering from Superior University, Lahore, Pakistan, in the year 2021. Now he is working as an instructor at Govt. College of Technology Sargodha, Pakistan since the last 6 years. His total teaching experience is 9 years. Email: [email protected]

Saif Ur Rehman

Saif Ur Rehman received the BSc in (Math(A+B), Phy) from BZU and BS and MS degrees in electronic engineering from Mohammad Ali Jinnah University, Islamabad. He completed his PhD degree in electrical engineering from Capital University of Science and Technology (CUST) in 2019. He is currently working as an assistant professor with Superior University, Lahore, where he is involved in research and teaching activities with the Department of Electrical Engineering and has more than 10 years of teaching experience. His research interests include microelectronics; modeling and simulation of high-frequency and high-power FETs, and antenna design. He has published more than 10 papers in reputed journals and has presented number of research papers at international conferences in Pakistan, Thailand, and KSA. He is a registered engineer with the Pakistan Engineering Council (PEC), Islamabad. Email: [email protected]

Arfat Ahmad Khan

Arfat Ahmad Khan received the BEng degree in electrical engineering from the University of Lahore, Pakistan, in 2013, and the MEng degree in electrical engineering from the Government College University Lahore, Pakistan, in 2015, and the PhD degree in telecommunication and computer engineering from the Suranaree University of Technology, Thailand, in 2018. From 2014 to 2016, he was an RF engineer with Etisalat, UAE. From 2019 to 2020, he worked as a post-doctoral researcher and lecturer at the Department of Telecommunication Engineering, Suranaree University of Technology. Currently, he is working as a lecturer in the College of Computing, Khon Kaen University. His research interests include robotics, automation, machine learning, optimization and stochastic processes, channel and the mathematical modeling, wireless sensor networks, ZigBee, green communications, massive MIMO, OFDM, wireless technologies, signal processing, and advance wireless communications. Email: [email protected]