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2021 | OriginalPaper | Chapter

Bamboo Plant Intellect Deeds Optimization Algorithm for Solving Optimal Reactive Power Problem

Author : Kanagasabai Lenin

Published in: Proceedings of the 7th International Conference on Advances in Energy Research

Publisher: Springer Singapore

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Abstract

In this paper, Bamboo Plant Intellect Deeds Optimization Algorithm (BPD) is proposed to solve optimal reactive power problem. By changing physiology, phenotype, and architecture Bamboo Plants can search for their food. Normally Bamboo Plants alter its morphology, physiology, and phenotype accordingly to natural conditions. In Bamboo Plants Signal transduction will trigger the biochemical actions in the plant as a response to the conditions. Bamboo Plant Intellect Deeds Optimization Algorithm (BPD) has been tested in standard IEEE 57 bus test system and simulation results show the projected algorithm reduced the real power loss considerably.

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Literature
1.
go back to reference Lee, K.Y.: Fuel-cost minimization for both real and reactive-power dispatches. Proc. Gener. Transm. Distrib. Conf. 131(3), 85–93 (1984) Lee, K.Y.: Fuel-cost minimization for both real and reactive-power dispatches. Proc. Gener. Transm. Distrib. Conf. 131(3), 85–93 (1984)
2.
go back to reference Deeb, NI.: An efficient technique for reactive power dispatch using a revised linear programming approach. Electr. Power Syst. Res. 15(2), 121–134 (1998) Deeb, NI.: An efficient technique for reactive power dispatch using a revised linear programming approach. Electr. Power Syst. Res. 15(2), 121–134 (1998)
3.
go back to reference Bjelogrlic, M.: Application of newton’s optimal power flow in voltage/reactive power control. IEEE Trans Power Syst. 5(4), 1447–1454 (1990) Bjelogrlic, M.: Application of newton’s optimal power flow in voltage/reactive power control. IEEE Trans Power Syst. 5(4), 1447–1454 (1990)
4.
go back to reference Granville, S.: Optimal reactive dispatch through interior point methods. IEEE Trans. Power Syst. 9(1), 136–146 (1994) Granville, S.: Optimal reactive dispatch through interior point methods. IEEE Trans. Power Syst. 9(1), 136–146 (1994)
5.
go back to reference Grudinin, N.: Reactive power optimization using successive quadratic programming method. IEEE Trans. Power Syst. 13(4), 1219–1225 (1998) Grudinin, N.: Reactive power optimization using successive quadratic programming method. IEEE Trans. Power Syst. 13(4), 1219–1225 (1998)
6.
go back to reference Mei, R.N.: Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique. Appl. Soft Comput. 59, 210–222 (2017) Mei, R.N.: Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique. Appl. Soft Comput. 59, 210–222 (2017)
7.
go back to reference Chen, G.: Optimal reactive power dispatch by improved GSA-based algorithm with the novel strategies to handle constraints. Appl. Soft Comput. 50, 58–70 (2017) Chen, G.: Optimal reactive power dispatch by improved GSA-based algorithm with the novel strategies to handle constraints. Appl. Soft Comput. 50, 58–70 (2017)
8.
go back to reference Naderi, E.: A novel fuzzy adaptive configuration of particle swarm optimization to solve large-scale optimal reactive power dispatch. Appl. Soft Comput. 53, 441–456 (2017) Naderi, E.: A novel fuzzy adaptive configuration of particle swarm optimization to solve large-scale optimal reactive power dispatch. Appl. Soft Comput. 53, 441–456 (2017)
9.
go back to reference Heidari, AA.: Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems. Appl. Soft Comput. 57, 657–671 (2017) Heidari, AA.: Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems. Appl. Soft Comput. 57, 657–671 (2017)
10.
go back to reference Morgan, M.: Benchmark studies on optimal reactive power dispatch (ORPD) based multi-objective evolutionary programming (MOEP) using mutation based on adaptive mutation adapter (AMO) and polynomial mutation operator (PMO). J. Electr. Syst. 12–1 (2016) Morgan, M.: Benchmark studies on optimal reactive power dispatch (ORPD) based multi-objective evolutionary programming (MOEP) using mutation based on adaptive mutation adapter (AMO) and polynomial mutation operator (PMO). J. Electr. Syst. 12–1 (2016)
11.
go back to reference Ng, Rebecca.: Ant Lion optimizer for optimal reactive power dispatch solution. J. Electr. Syst. (AMPE2015), 68–74 (2016) Ng, Rebecca.: Ant Lion optimizer for optimal reactive power dispatch solution. J. Electr. Syst. (AMPE2015), 68–74 (2016)
12.
go back to reference Anbarasan, P.: Optimal reactive power dispatch problem solved by symbiotic organism search algorithm. Innov. Power Adv. Comput. Technol. (2017) Anbarasan, P.: Optimal reactive power dispatch problem solved by symbiotic organism search algorithm. Innov. Power Adv. Comput. Technol. (2017)
13.
go back to reference Gagliano, A.: Analysis of the performances of electric energy storage in residential applications. Int. J. Heat Technol. 35,(1), S41–S48 (2017) Gagliano, A.: Analysis of the performances of electric energy storage in residential applications. Int. J. Heat Technol. 35,(1), S41–S48 (2017)
14.
go back to reference Caldera, M.: Survey-based analysis of the electrical energy demand in Italian households. Math. Model. Eng. Probl. 5(3), 217–224 (2018) Caldera, M.: Survey-based analysis of the electrical energy demand in Italian households. Math. Model. Eng. Probl. 5(3), 217–224 (2018)
15.
go back to reference Basu, M.: Quasi-oppositional differential evolution for optimal reactive power dispatch. Electr. Power Energy Syst. 78, 29–40 (2016) Basu, M.: Quasi-oppositional differential evolution for optimal reactive power dispatch. Electr. Power Energy Syst. 78, 29–40 (2016)
16.
go back to reference Yamada, T.: The leaf development process and its significance for reducing self-shading of a tropical pioneer tree species. Oecologia 125(4), 476–482 (2000) Yamada, T.: The leaf development process and its significance for reducing self-shading of a tropical pioneer tree species. Oecologia 125(4), 476–482 (2000)
17.
go back to reference Honda, H.: Tree branch angle: maximizing effective leaf area. Science 199(4331), 888–890 (1978) Honda, H.: Tree branch angle: maximizing effective leaf area. Science 199(4331), 888–890 (1978)
19.
go back to reference Hussain, AN.: Modified particle swarm optimization for solution of reactive power dispatch. Res. J. Appl. Sci. Eng. Tech. 15(8), 316–327 (2018) Hussain, AN.: Modified particle swarm optimization for solution of reactive power dispatch. Res. J. Appl. Sci. Eng. Tech. 15(8), 316–327 (2018)
Metadata
Title
Bamboo Plant Intellect Deeds Optimization Algorithm for Solving Optimal Reactive Power Problem
Author
Kanagasabai Lenin
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-5955-6_62