Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Reactive power planning has attained a pivotal role for improved coordination in modern power system as minimization of transmission loss is an essential criterion for secured power system operation. This article proposes a meta-heuristic nature inspired Harris Hawk Optimizer (HHO) and Oppositional based Harris Hawk Optimizer (OHHO) algorithms which are implemented on standard Ward hale 6 bus system and IEEE 30 bus system. The HHO is a derivative free algorithm and does not exhibit any internal dependent parameters. Further, the search space is modified by hybridizing HHO with oppositional based learning technique in order to achieve enhanced approximation for the prevailing solution and the OHHO is proposed in the current work for minimization of transmission losses, operating cost and enhancement of voltage profile at the buses. The influence of updating mechanism of the optimizers is investigated with respect to the objective functions. The work majorly focuses on the constraints like reactive power generated by generator buses, shunt capacitors and transformer tap changing position. The simulation results obtained on standard test systems manifest the improved performance of proposed HHO and OHHO in comparison with the other optimization techniques that have emerged in the recent state-ofthe-art literature.
Czasopismo
Rocznik
Tom
Strony
143--155
Opis fizyczny
Bibliogr. 30 poz., rys., tab., wykr.
Twórcy
autor
- Alliance University, Bangalore 562106, India
autor
- Alliance University, Bangalore 562106, India
Bibliografia
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- [3] He, Na, Dianguo Xu, and Lina Huang. "The application of particle swarm optimization to passive and hybrid active power filter design." IEEE transactions on industrial electronics 56, no. 8 (2009): 2841-2851.
- [4] ShiHong, Wang, Zhan Ghong, He Rui, Xiao QingMing, Chen Jian, and Xu Ming Chang. "A new reactive power planning based on system multiscenario operations." Energy Procedia 14 (2012): 782-787.
- [5] Amrane, Youcef, Mohamed Boudour, and Messaoud Belazzoug. "A new optimal reactive power planning based on differential search algorithm." International Journal of Electrical Power & Energy Systems 64 (2015): 551-561.
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- [7] Chiang HD, Wang JC, Cockings 0, Shin HD. Optimal capacitor placements in Distribution systems: part 2: solution algorithms and numerical results. IEEE Trans Power Deliv 1990;5 (2).
- [8] Dai, Chaohua, Weirong Chen, Yunfang Zhu, and Xuexia Zhang. "Seeker optimization algorithm for optimal reactive power dispatch." IEEE Transactions on power systems 24, no. 3 (2009): 1218-1231
- [9] Grudinin, N. "Reactive power optimization using successive quadratic programming method." IEEE Transactions on Power Systems 13, no. 4 (1998): 1219-1225.
- [10] Lee, Wen-Tung, Shih-Cheng Horng, and Chi-Fang Lin. "Application of Ordinal Optimization to Reactive Volt-Ampere Sources Planning Problems." Energies 12, no. 14 (2019): 2746.
- [11] Parker, C. J., I. F. Morrison, and D. Sutanto. "Application of an optimisation method for determining the reactive margin from voltage collapse in reactive power planning." IEEE Transactions on Power Systems 11, no. 3 (1996): 1473-1481.
- [12] Deng, Zhida, Mihai D. Rotaru, and Jan K. Sykulski. "Kriging Assisted Surrogate Evolutionary Computation to Solve Optimal Power Flow Problems." IEEE Transactions on Power Systems (2019).
- [13] Bouchekara, H. R. E. H. "Optimal power flow using black-hole-based optimization approach." Applied Soft Computing 24 (2014): 879-888.
- [14] Reddy, Salkuti Surender, and Ch Srinivasa Rathnam. "Optimal power flow using glowworm swarm optimization." International Journal of Electrical Power & Energy Systems 80 (2016): 128-139.
- [15] Singh, Rudra Pratap, V. Mukherjee, and S. P. Ghoshal. "Optimal reactive power dispatch by particle swarm optimization with an aging leader and challengers." Applied Soft Computing 29 (2015): 298-309.
- [16] Duman, Serhat, Y. Si:inmez, U. Giivenc;:, and N. Yi:iriikeren. "Optimal reactive power dispatch using a gravitational search algorithm." IET generation, transmission & distribution 6, no. 6 (2012): 563576.
- [17] Rajan, Abhishek, and T. Malakar. "Optimal reactive power dispatch using hybrid NelderMead simplex based firefly algorithm." International Journal of Electrical Power & Energy Systems 66 (2015): 9-24.
- [18] Bhattacharya, Aniruddha, and Pranab Kumar Chattopadhyay. "Solution of optimal reactive power flow using biogeography-based optimization." International Journal of Electrical and Electronics Engineering 4, no. 8 (2010): 568576.
- [19] Lee, K.Y., Park, Y.M., Ortiz, J.L.: 'Optimal real and reactive power dispatch', Electr. Power Syst. Res., 1984, 7, (3), pp. 201-212.
- [20] Shaw, Binod, V. Mukherjee, and S. P. Ghoshal. "Solution of reactive power dispatch of power systems by an opposition-based gravitational search algorithm." International Journal of Electrical Power & Energy Systems 55 (2014): 29-40
- [21] Mahadevan, K., and P. S. Kannan. "Comprehensive learning particle swarm optimization for reactive power dispatch." Applied soft computing 10, no. 2 (2010): 641-652.
- [22] El Ela, AA Abou, M. A. Abido, and S. R. Spea. "Differential evolution algorithm for optimal reactive power dispatch." Electric Power Systems Research 81, no. 2 (2011): 458-464.
- [23] Mukherjee, A. and Mukherjee, V., 2015. Solution of optimal reactive power dispatch by chaotic krill herd algorithm. IET Generation, Transmission & Distribution, 9(15), pp.2351-2362.
- [24] Bhattacharyya, Biplab, and Saur av Raj. "PSO based bio inspired algorithms for reactive power planning." International Journal of Electrical Power & Energy Systems 74 (2016): 396-402.
- [25] Raj, Saurav, and Biplab Bhattacharyya. "Reactive power planning by opposition based grey wolf optimization method." International Transactions on Electrical Energy Systems 28, no. 6 (2018):
- [26] Bhattacharyya, Biplab, and Saurav Raj. "Differential evolution technique for the optimization of reactive power reserves." Journal of Circuits, Systems and Computers 26, no. 10 (2017): 1750155.
- [27] Mahapatra, Sheila, A. N. Jha, and B. K. Panigrahi. "Hybrid technique for optimal location and cost sizing of thyristor controlled series compensator to upgrade voltage stability." IET Generation, Transmission & Distribution 10, no. 8 (2016): 1921-1927.
- [28] Mahapatra, Sheila, Nitin Malik, A. N. Jha, and B. K. Panigrahi. "Voltage Stability Enhancement by IGSA-FA hybrid technique implementation for optimal location of TCSC." Journal of Engineering Science and Technology 12, no. 9 (2017): 23602373.
- [29] Wang, Chun, Hao Zhong Cheng, and L. Z. Yao. "Reactive power optimization by plant growth simulation algorithm." In 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, pp. 771774. IEEE, 2008.
- [30] Tizhoosh, Hamid R. "Opposition-based learning: a new scheme for machine intelligence." In International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), vol. 1, pp. 695701. IEEE, 2005.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6f568864-6fac-4823-894c-712cc7daa051
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