Multi-Objective Optimization of Reactive Power Distribution in Power System
Subject Areas : Renewable energies and Smart grids
mohammad amin ebrahimi zarandi
1
,
Mahdiyeh Eslami
2
,
mehdi jafari
3
1 - دانشجوی دکتری مهندسی برق قدرت
2 - کرمان. دانشگاه ازاد. گروه برق
3 - Department of electronic Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran
Keywords: Distributed Generation (DG), capacitors banks, active and reactive power management, imperialist competitive algorithm,
Abstract :
Optimal reactive power distribution is a critical aspect of economic and secure operation of power systems. This problem falls within the category of power system optimization problems where a specific objective function is optimized subject to a set of constraints and control variables. Due to the non-linear nature of this problem and the existence of multiple local optima, deterministic methods are not suitable for solving it. Therefore, stochastic and intelligent algorithms must be employed. Control variables in this problem include generator voltages, transformer tap positions, and reactive power compensation devices such as reactors and capacitors. Three objective functions, namely, minimizing active power losses, improving voltage profile, and maximizing voltage stability, are considered both individually and in a multi-objective manner. The primary algorithms investigated in this thesis include Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Colonial Competitive Algorithm (ICA), and Differential Evolution (DE). Additionally, weighted sum method and Non-dominated Sorting Genetic Algorithm II (NSGA-II) are employed for multi-objective optimization.
[A1] Dommel HW, " Tinney WF Optimal power flow solutions ". IEEE Trans. Power App Syst. 1968: PAS-87(10): 1866-76.
[A2] K. Y. Lee, Y. M. park, J. L. Ortiz, " A united approach to optimal real and reactive power dispatch " IEEE Trans. Power Syst., vol. 1, no. 2, pp. 1147-1153, may 1985.
[A3] J. R. S. Manlovani and A. V. Garcia , " A heuristic model for reactive power planning " IEEE trans. Power Syst., vol. 11, no. 1, pp. 68-74 Feb. 1995.
[A4] S. Granville, " Optimal reactive dispatch through interior point methods " IEEE Trans. Power Syst., vol. 9, no. 1, pp. 136-146, Feb. 1994.
[A5] J. A. momeh, S. X. Guo, E. C. Oghuobiri, R Adapa, " The quadratic interior point method solving power system optimization problems " IEEE Trans. Power syst. , vol. 9, no. 3, pp. 1327 1336, Aug. 1994.
[A6] Niknam T.,Narimani, M.R, Azizipanah-Abarghooee, R., Bahmani-Firouzi, B. " Multiobjective Optimal Reactive Power Dispatch and Voltage Control: A New Opposition-Based Self-Adaptive Modified Gravitational Search Algorithm" IEEE System Journal., vol. 7, Issue 4, pp. 742 - 753, January 2013.
[A7] Atashpaz-Gargari,E , Lucas, C. " Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition " Evolutionary Computation, IEEE, 2007.
[A8] Teimouri, M., Mehdizadeh, E. " An imperialist competitive algorithm based Fuzzy clustering algorithm" Fuzzy Systems (IFSC), 13th Iranian Conference on, IEEE, 2013.
[A9] M.ónica Alonso, Hortensia Amarís, Mircea Chindris, A multiobjective Var/Volt Management System in Smartgrids, Energy Procedia, Volume 14, 2012, Pages 1490-1495.
[A10] Ruey-Hsun Liang, Yu-Kai Chen, Yie-Tone Chen, Volt/Var control in a distribution system by a fuzzy