NOVEL CHIMPANZEE MATING INSPIRED OPTIMIZATION ALGORITHM FOR REAL POWER LOSS REDUCTION
DOI:
https://doi.org/10.55766/sujst-2023-06-e0871Keywords:
Optimization, power, transmission loss, Copulate PerformanceAbstract
Abstract; Chimpanzee Mating Inspired Optimization (CPO) Algorithm is applied to solve the power loss lessening problem. Major objectives are reduction of power loss and voltage deviation minimization. Various mating actions of Chimpanzee have been imitated to formulate the algorithm. Mating of Male Chimpanzee with single and multiple females are considered in the design. Few Chimpanzees may stay alone and some may wander as like nomad. These situations are included in the formulations of the algorithm. Chimpanzee Mating Inspired Optimization (CPO) Algorithm is verified in G01 - G24 benchmark functions, IEEE 300, 354 bus test systems and Practical system - WDN 220 KV (Unified Egyptian Transmission Network (UETN)). In Practical UETN the value obtained by CPO is Power loss (MW) - 29. 708, Voltage deviation (PU) - 0.5808.
References
Abou El-Ela A.A., M.T. Mouwafi, W.K. (2019). Al-Zahar, Optimal Transmission System Expansion Planning Via Binary Bat Algorithm, Proc. 21st Int. Middle East Power Systems Conf. (MEPCON), Cairo, Egypt., 238-243.
Ahirwar, H.S. and Srivastava, L. (2021). Minimization of Real Power Losses of Transmission Lines and Improvement of Voltage Stability in Power System using Recurring MODE Algorithm. J. Inst. Eng. India Ser. B., 103:525-540 Doi: https://doi.org/10.1007/s40031-021-00636-z.
Arya, Aadesh Kumar, and Ashwani Chanana, Saurabh. (2019). Analysis of Distribution System with D-STATCOM by Gravitational Search Algorithm (GSA). Journal of The Institution of Engineers (India): Series B., 100:207-215. Doi: https://doi.org/10.1007/s40031-019-00383-2.
Ghosh, P.K., Sadhu, P.K., and Basak, R. (2021). Optimization of Performance Variables and Cost of Single-Phase Squirrel-Cage Type Induction Motors. J. Inst. Eng. India Ser. B., Doi: https://doi.org/10.1007/s40031-021-00648-9
Ikpe, A., Iluobe, I., and Imonitie, D. (2020). Modelling and simulation of high pressure fogging air intake cooling unit of Omotosho phase II gas turbine power plant. Journal of Applied Research on Industrial Engineering, 7(2):121-136. Doi: https://doi.org/10.22105/jarie.2020.216680.1129
Ikpe, A., Udofia, E., and Odeh, E. (2023). Thermodynamic analysis of hybrid-nanofluids-zeotropic mixtures in a vapour compression refrigeration system (VCRS) based on exergy principles. International Journal of Research in Industrial Engineering, 12(2):143-154. Doi: https://doi.org/10.22105/riej.2023.383806.1365
Jain, N.K., Nangia, U., and Jain, J. (2018). Economic Load Dispatch Using Adaptive Social Acceleration Constant Based Particle Swarm Optimization. J. Inst. Eng. India Ser. B., 99:431-439 (2018). Doi: https://doi.org/10.1007/s40031-018-0322-z
Jena, Chitralekha and Basu, Mousumi. (2016). Group Search Optimization for Fixed Head Hydrothermal Power System. Journal of The Institution of Engineers (India): Series B., 98. Doi: https://doi.org/10.1007/s40031-016-0234-8.
Kanagasabai, L. (2020a). Real power loss reduction by Acridoidea stirred artificial bee colony algorithm. International Journal of Research in Industrial Engineering, 9(3),209-215. Doi: https://doi.org/10.22105/riej.2020.229820.1133
Kanagasabai, L. (2020b). Active power loss diminution by Greenland wolf optimization algorithm. Journal of Applied Research on Industrial Engineering, 7(2):154-162. Doi: https://doi.org/10.22105/jarie.2020.229824.1162
Kanagasabai, L. (2020c). Amplified black hole algorithm for real power loss reduction. International Journal of Research in Industrial Engineering, 9(2):130-142. Doi: https://doi.org/10.22105/riej.2020.214468.1114.
Kapse, Shilpa Daigavane, and Manoj Daigavane, Prema. (2018). Improvement of ORPD Algorithm for Transmission Loss Minimization and Voltage Control Using UPFC by HGAPSO Approach. Journal of The Institution of Engineers (India): Series B., 99:575-585. Doi: https://doi.org/10.1007/s40031-018-0349-1.
Koshti, A., Arya, L. and Choube, S. (2013). Voltage Stability Constrained Distributed Generation Planning using Modified Bare Bones Particle Swarm Optimization. Journal of The Institution of Engineers (India): Series B., 94:123-133. Doi: https://doi.org/10.1007/s40031-013-0052-1.
Masood F., Nor N.B.M., Nallagownden P., Elamvazuthi I., Saidur R., Alam M.A., Akhter J., Yusuf M., Mehmood M., Ali M.A. (2022). Review of Recent Developments and Applications of Compound Parabolic Concentrator-Based Hybrid Solar Photovoltaic/Thermal Collectors. Sustainability, 14(9):5,529.
Masood, F., Nallagownden, P., Elamvazuthi, I., Alam, M.A., Ali, M., and Azeem, M. (2021). Design and Optical Performance Analysis of a Quasi-stationary Compound Parabolic Concentrator for Photovoltaic Applications. In: Awang, M., Emamian, S.S. (eds) Advances in Material Science and Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. Doi: https://doi.org/10.1007/978-981-16-3641-7_28
Mohamed T. Mouwafi, Adel A. Abou El-Ela, Ragab A. El-Sehiemy, Waleed K. (2022). Al-Zahar, Techno-economic based static and dynamic transmission network expansion planning using improved binary bat algorithm, Alexandria Engineering Journal,61(2):1,383-1,401.
Nagarajan, Karthik, a.k., and Parvathy Arul, R. (2020). Multi-Objective Optimal Reactive Power Dispatch using Levy Interior Search Algorithm. International Journal on Electrical Engineering and Informatics. 12:547-570. Doi: https://doi.org/10.15676/ijeei.2020.12.3.8.
Najafi, H.S., Edalatpanah, S.A. and Refahi Sheikhani, A.H. (2014). Convergence Analysis of Modified Iterative Methods to Solve Linear Systems. Mediterr. J. Math. 11, Doi: 1,019-1,032. https://doi.org/10.1007/s00009-014-0412-3.
Najafi, S.E., Salahshour, S., and Rahmani Parchikolaei, B. (2022). Optimizing Supplier Selection for a Construction Project by a Cash-Flow Approach Using a Hybrid Metaheuristic Algorithm. Big Data and Computing Visions, 2(2), 69-79. Doi: https://doi.org/10.22105/bdcv.2022.342616.1081
Omelchenko, I.N. amp, Lyakhovich, Dmitry amp, Aleksandrov, A.A. amp, Vodchits, Angelina and amp, Kunkov, N.V. (2020). Development of a Design Algorithm for the Logistics System of Product Distribution of the Mechanical Engineering Enterprise. Herald of the Bauman Moscow State Technical University. Series Mechanical Engineering, 62-69. Doi: https://doi.org/10.18698/0236-3941-2020-3-62-69.
Raghuwanshi, B.S.; Shukla, S. (2019). Class imbalance learning using UnderBagging based kernelized extreme learning machine. Neurocomputing 2019, 329:172-187.
Roy, R., Das, T., and amp Mandal, K.K. (2021). Optimal reactive power dispatch using a novel optimization algorithm. Journal of Electrical Systems and InfTechnol 8, 18
Sanagooy Aghdam, A., Afshar Kazemi, M.A., and Toloie Eshlaghy, A. (2021). A hybrid GA-SA multiobjective optimization and simulation for RFID network planning problem. Journal of Applied Research on Industrial Engineering,8:1-25. Doi: https://doi.org/10.22105/jarie.2021.295762.1357
Selvam, Kayalvizhi Kumar and D. Siripuram, Ramakanth. (2016). Distributed Generation Planning using Peer Enhanced Multi-objective Teaching-Learning based Optimization in Distribution Networks. Journal of The Institution of Engineers (India): Series B., 98. Doi: https://doi.org/10.1007/s40031-016-0239-3.
Singh, Pushpendra Arya, Rajesh, Titare, L. and Arya, L. (2021). Optimal Load Shedding to Avoid Risks of Voltage Collapse Using Black Hole Algorithm. Journal of The Institution of Engineers (India): Series B., 102. Doi: https://doi.org/10.1007/s40031-021-00543-3.
Taghvaei, F. and Safa, R. (2021). Efficient energy consumption in smart buildings using personalized NILM-based recommender system. Big Data and Computing Visions, 1(3):161-169. Doi: https://doi.org/10.22105/bdcv.2022.325031.1039
Talebitooti R. and Zarastvand M.R., (2018). The effect of nature of porous material on diffuse field acoustic transmission of the sandwich aerospace composite doubly curved shell, Aerospace Science and Technology, 78(2018):157-170.
Veeramani, Chinnadurai, Edalatpanah, S.A. and Senthil, Sharanya. (2021). Solving the Multiobjective Fractional Transportation Problem through the Neutrosophic Goal Programming Approach. Discrete Dynamics in Nature and Society, 2021:1-17. Doi: https://doi.org/10.1155/2021/7308042.
Verma, R. and Rathore, A. (2021). Optimal Placement of Facts Device Considering Voltage Stability and Losses using Teaching Learning based Optimization. J. Inst. Eng. India Ser. B., 102:771-776. Doi: https://doi.org/10.1007/s40031-021-00582-w
