Real Power Loss Diminution by Rain Drop Optimization Algorithm

Dr Lenin Kanagasabai

Abstract


In this work Rain Drop Optimization (RDO) Algorithm is projected to reduce power loss. Proceedings of Rain drop have been imitated to model the RDO algorithm. Natural action of rain drop is flowing downwards form the peak and it may form small streams during the headway from the mountain or hill.   As by gravitation principle raindrop flow as stream then as river form the peak of mountains or hill then it reach the sea as global optimum. Proposed Rain Drop Optimization (RDO) Algorithm evaluated in IEEE 30, bus test system. power loss reduction , voltage deviation minimization, and voltage stability improvement  has been achieved. 


References


K. Y. Lee “Fuel-cost minimisation for both real and reactive-power dispatches,” Proceedings Generation, Transmission and Distribution Conference, vol/issue: 131(3), pp. 85-93, 1984

Aoki, K., A. Nishikori and R.T. Yokoyama. Constrained load flow using recursive quadratic programming.IEEE T. Power Syst., 2(1): 8-16.1987

Kirschen, D.S. and H.P. Van Meeteren,. MW/voltage control in a linear programming based optimal power flow. IEEE T. Power Syst., 3(2): 481-489.1988

Liu, W.H.E., A.D. Papalexopoulos and W.F. Tinney. Discrete shunt controls in a Newton optimal power flow. IEEE T. Power Syst., 7(4): 1509-1518.1992

V. H. Quintana and M. Santos-Nieto, “Reactive-power dispatch by successive quadratic programming,” IEEE Transactions on Energy Conversion, vol. 4, no. 3, pp. 425–435, 1989.

V. de Sousa, E. Baptista, and G. da Costa, “Optimal reactive power flow via the modified barrier Lagrangian function approach,” Electric Power Systems Research, vol. 84, no. 1, pp. 159–164, 2012.

uğur arifoğlu and faruk yalçin, System Constrained Active Power Loss Minimization in Practical Multi-terminal HVDC Systems through GA, Sakarya University Journal of Science, 10.16984/saufenbilder.421351, (1-1), (2018).

Kamel, Salah & Abdel-Fatah, Said & Ebeed, Mohamed & Yu, Juan & Xie, Kaigui & Zhao, Chenyu. (2019). Solving Optimal Reactive Power Dispatch Problem Considering Load Uncertainty. 10.1109/ISGT-Asia.2019.8881322.

Biplab Bhattacharyya & Nihar Karmakar (2019) Optimal Reactive Power Management Problem: A Solution Using Evolutionary Algorithms, IETE Technical Review, DOI: 10.1080/02564602.2019.1675541

S. Kamel, S. Abdel-Fatah, M. Ebeed, J. Yu, K. Xie and C. Zhao, "Solving Optimal Reactive Power Dispatch Problem Considering Load Uncertainty," 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Chengdu, China, 2019, pp. 1335-1340, doi: 10.1109/ISGT-Asia.2019.8881322.

Ram Kishan Mahate, & Himmat Singh. (2019). Multi-Objective Optimal Reactive Power Dispatch Using Differential Evolution. International Journal of Engineering Technologies and Management Research, 6(2), 27–38. http://doi.org/10.5281/zenodo.2585477.

Nguyen, Thang Trung, Vo, Dieu Ngoc, “Improved social spider optimization algorithm for optimal reactive power dispatch problem with different objectives” Neural Computing and Applications, VL - 32 ,IS - 10, https://doi.org/10.1007/s00521-019-04073-4

YANG, S., WANG, W., LIU, C. et al. Optimal reactive power dispatch of wind power plant cluster considering static voltage stability for low-carbon power system. J. Mod. Power Syst. Clean Energy 3, 114–122 (2015). https://doi.org/10.1007/s40565-014-0091-x

S. Emiroglu, Y. Uyaroglu, G. Ozdemir, "Distributed Reactive Power Control based Conservation Voltage Reduction in Active Distribution Systems," Advances in Electrical and Computer Engineering, vol.17, no.4, pp.99-106, 2017, doi:10.4316/AECE.2017.04012

Mojtaba Ghasemi, Mahdi Taghizadeh, Sahand Ghavidel, Jamshid Aghaei, Abbas Abbasian, “Solving optimal reactive power dispatch problem using a novel teaching–learning-based optimization algorithm” ,Engineering Applications of Artificial Intelligence, Volume 39, Pages 100-108,2015.

Wei, Yan-Ling, Nguyen, Thang Trung, Vo, Dieu Ngoc, Van Tran, Hai, Van Dai, Le, “Optimal Dispatch of Reactive Power Using Modified Stochastic Fractal Search Algorithm”, Complexity, Hindwai, 1076-2787, 2019.

A. Padilha-Feltrin, D. A. Quijano Rodezno, and J. R. S. Mantovani, "Volt-VAR Multiobjective Optimization to Peak-Load Relief and Energy Efficiency in Distribution Networks," IEEE Transactions on Power Delivery, vol. 30, no. 2, pp. 618-626, Apr. 2015.

I. Khan, Z. Li, Y. Xu, and W. Gu, "Distributed control algorithm for optimal reactive power control in power grids," International Journal of Electrical Power & Energy Systems, vol. 83, pp. 505-513, Dec. 2016.

A. Castillo, P. Lipka, J.-P. Watson, S. S. Oren, and R. P. O’Neill, "A successive linear programming approach to solving the IV-ACOPF," IEEE Transactions on Power Systems, vol. 31, no. 4, pp. 2752-2763, Jul. 2016.

H. Shah-Hosseini, The intelligent water drops algorithm: a nature-inspiredswarm-based optimization algorithm, Int. J. Bio-Insp. Comput. 1 (2009) 71–79.

Illinois Center for a Smarter Electric Grid (ICSEG). Available online: https://icseg.iti.illinois.edu/ieee-30-bussystem/ (accessed on 25 February 2019).

El Ela, A.A.; Abido, M.A.; Spea, S.R. Differential evolution algorithm for optimal reactive power dispatch. Electr. Power Syst. Res. 2011, 81, 458–464.

Duman, S.; Sönmez, Y.; Güvenç, U.; Yörükeren, N. Optimal reactive power dispatch using a gravitational search algorithm. IET Gener. Transm. Distrib. 2012, 6, 563–576.

Aljohani, T.M.; Ebrahim, A.F.; Mohammed, O. Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization. Energies 2019, 12, 2333.




DOI: http://doi.org/10.11591/ijaas.v10.i2.pp%25p
Total views : 29 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Institute of Advanced Engineering and Science

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

International Journal of Advances in Applied Sciences (IJAAS)
p-ISSN 2252-8814, e-ISSN 2722-2594


Web Analytics View IJAAS Stats