FINANCIAL-BASED ASSESSMENT IN PRACTICAL EPDS USING REACTIVE POWER SUPPORT CONSIDERING DIFFERENT LOAD VARIATIONS
DOI:
https://doi.org/10.11113/jurnalteknologi.v87.22117Keywords:
Cheetah optimizer, Financial savings, Electric power distribution system, Power losses, Reactive power injectionAbstract
It has been substantiated that Reactive Power Injections (RPI) at optimal locations reduce power losses (PLS & QLS) and enrichment in node voltage profile, thereby enhancing efficacy. Most researchers considered the reduction in real power loss (PLS) and capacitor purchase costs as objectives to get Financial Savings (FS). However, this work focuses on maximizing FS by optimal allocation and capacity determination of capacitors in Electric Power Distribution Systems (EPDS), considering the reduction in power losses and capacitor purchase and its associated costs as objective subject to satisfaction of equality and inequality constraints. Cheetah Optimizer (CO) has been considered to solve the Financial Based Objective Function (FBOF) to obtain an improved solution in this work. Researchers normally adopt a Sensitivity Based Index (SBI) to identify potential node RPIs by ranking. Nevertheless, the CO technique will do both optimal placement and sizing of capacitors. The efficacy of the projected CO has been validated using three real EPDS. The outcomes of CO have been compared with other optimization techniques available in the literature. Simulated results reveal that CO effectively minimizes power losses with considerable improvement in FS compared to other techniques.
References
S. Haffner, L. F. A. Pereira, L. A. Pereira, and L. S. Barreto, 2008. Multistage Model for Distribution Expansion Planning with Distributed Generation—Part I: Problem Formulation, IEEE Trans. Power Deliv. 23(2): 915–923 Doi: 10.1109/TPWRD.2008.917916.
Vasant Surdeo. 2018. Power Sector Policies in India: History and Evolution. Jindal Journal of Public Policy. 3: 115–128.
Srinivasan, G., Senthil Kumar, R., & Muthukaruppasamy, S. 2022. Evaluation of Additional Power Loss Reduction in DG Integrated Optimal Distribution Network. Control Engineering and Applied Informatics. 24: 6876.
Gampa, S. R., & Das, D. 2016. Optimum Placement of Shunt Capacitors in a Radial Distribution System for Substation Power Factor Improvement using Fuzzy GA Method. International Journal of Electrical Power & Energy Systems. 77: 314–326.
Sultana, S., & Roy, P. K. 2014. Optimal Capacitor Placement in Radial Distribution Systems Using Teaching Learning-Based Optimization. International Journal of Electrical Power & Energy Systems. 54: 387–398.
Sultana, S., & Roy, P. K. 2016. Oppositional Krill Herd Algorithm for Optimal Location of Capacitor with Reconfiguration in Radial Distribution System. International Journal of Electrical Power & Energy Systems. 74: 78–90.
Adel Ali Abou El-Ela, Ragab A. El-Sehiemy, Abdel-Mohsen Kinawy, & Mohamed Taha Mouwafi. 2016. Optimal Capacitor Placement in Distribution Systems for Power Loss Reduction and Voltage Profile Improvement. IET Gener. Transm. Distrib. 10: 1209–1221.
Abdullah M. Shaheen, & Ragab A. El-Sehiemy. 2017. Optimal Allocation of Capacitor Devices on MV Distribution Networks Using Crow Search Algorithm. 24th International Conf. & Exhibition on Electricity Distribution (CIRED), 12-15 June 2017. 2453–2457.
Abdel-Raheem Youssef, Salah Kamel, Mohamed Ebeed, & Juan Yu. 2018. Optimal Capacitor Allocation in Radial Distribution Networks Using a Combined Optimization Approach. Electric Power Components and Systems. 1–19.
Ali Selim, Saleh Kamel, & Francisco Jurado. 2019. Power Losses and Energy Cost Minimization Using Shunt Capacitors Installation in Distribution Systems. The 10th International Renewable Energy Congress (IREC 2019).
Ali Selim, Saleh Kamel, & Francisco Jurado. 2020. Capacitors Allocation in Distribution Systems Using a Hybrid Formulation Based on Analytical and Two Metaheuristic Optimization Techniques. Computers and Electrical Engineering. 85: 106675.
Olabode E. O., Ajewole T. O., Okakwu I. K., & Ade-Ikuesan O. O. 2019. Optimal Sitting and Sizing of Shunt Capacitor for Real Power Loss Reduction on Radial Distribution System Using Firefly Algorithm: A Case Study of Nigerian system. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 5(5): 1–13.
Salimon, S. A,, Baruwa, A. A., Amuda, S. O. & Adeleke, H. A. 2020. Optimal Placement and Sizing of Capacitors in Radial Distribution Systems: A Two-Stage Method. Journal of Engineering Research and Reports. 19: 3143.
Salimon, S. A., Suuti, K. A., Adeleke, H. A., Ojo, K. E., & Aderinko, H. A. 2020. Impact of Optimal Placement and Sizing of Capacitors on Radial Distribution Network using Cuckoo Search Algorithm. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE). 15(1, Series I): 39–49.
Haldar, V., & Chakraborty, N. 2015. Power Loss Minimization by Optimal Capacitor Placement in Radial Distribution System Using Modified Cultural Algorithm. International Transactions on Electrical Energy Systems. 25: 54–71.
Sneha Sultana & Provas Kumar Roy. 2014. Multi-objective Quasi-Oppositional Teaching Learning Based Optimization for Optimal Location of Distributed Generator in Radial Distribution Systems. Electrical Power and Energy System. 63: 534–545.
Prakash, D. & Lakshminarayana, C. 2017. Optimal Siting of Capacitors in Radial Distribution Network Using Whale Optimization Algorithm. Alexandria Engineering Journal, 56: 499–509.
Mohammad Amin Akbari, Mohsen Zare, Rasoul Azizipanah-abarghooee, Seyedali Mirjalili & Mohamed Deriche. 2022. The Cheetah Optimizer: A Nature-Inspired Metaheuristic Algorithm for Large-Scale Optimization Problems. Scientific Reports. 12: 10953.
Ramana, T., Ganesh, V., Siranagaraju, S. 2003. Simple and Fast Load Flow Solution for Electrical Power Systems. International Journal of Electrical Engineering and Informatics. 5: 245253.
Kumar, V., Swapnil, S., Ranjan, R., Singu, V. R. 2017. Improved Algorithm for Load Flow Analysis of Radial Distribution System. Indian Journal of Science and Technology. 10: 17.
Venkatesh, B., Ranjan, R. 2003. Data Structure for Radial Distribution Load Flow Analysis. IEE Proceedings on Generation Transmission and Distribution. 150: 101106. https://doi.org/10.1049/ip-gtd:20030013.
Vinita Tomar, Mamta Bansal and Pooja Singh. 2023. Metaheuristic Algorithms for Optimization: A Brief Review. Eng. Proc. 59(1): 238. https://doi.org/10.3390/engproc2023059238.
Kanchan Rajwar, Kusum Deep and Swagatam Das. 2023. An Exhaustive Review of the Metaheuristic Algorithms for Search and Optimization: Taxonomy, Applications, and Open Challenges. Artificial Intelligence Review. 56: 1318713257. https://doi.org/10.1007/s10462-023-10470-y.
Wang, C. & Zhong, H. 2008. Optimization of Network Configuration in Large Distribution System Using Plant Growth Simulation Algorithm. IEEE Trans. Power Syst. 23(1): 119–126.
Marco Antonio Leon Ibarra, Jose Leonardo Guardado, Francisco Rivas-Davalos, Jacinto Torres Jimenez & Jose Luis Naredo. 2016. An Elitist Local Search Based Multi-Objective Algorithm for Power Distribution System Reconfiguration. Electric Power Components and Systems. 44(16): 18391853.
Srinivasan, G., Amaresh, K. & Kumar Reddy Cheepati. 2022. Economic based Evaluation of DGs in Capacitor Allocated Optimal Distribution Network. Bulletin of the Polish Academy of Sciences: Technical Sciences, 70(1): e139053.
Hossein Karimi & Reza Dashti. 2016. Comprehensive Framework for Capacitor Placement in Distribution Networks from the Perspective of Distribution System Management in a Restructured Environment. Electrical Power and Energy Systems. 82: 11–18.
Chu-Sheng Lee, Helon Vicente Hultmann Ayala, & Leandro dos Santos Coelho. 2015. Capacitor Placement of Distribution Systems Using Particle Swarm Optimization Approaches. Electr. Power Energy Syst. 64: 839851.
Ignacio Pérez Abril. 2020. Capacitor Placement by Variables' Inclusion and Interchange Improved Algorithm. International Transactions on Electrical Energy Systems. 30(6): e12377.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
