Reactive Power Optimization in District Power System

Abstract:

Numerical optimization algorithms and heuristic optimization algorithms in reactive power optimization have been introduced. Analysis of the reactive power balance and the compensation, reactive power optimization mathematical model has been studied. Finally, it takes the least net loss as the object functions to optimize the regional power grid reactive power by genetic algorithm. Optimization results show that this method can effectively reduce network loss, and energy-saving effect is remarkable.

• Periodical: Advanced Materials Research (Volumes 805-806)
• Pages: 751-755
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.805-806.751
• Online since: September 2013
• Authors: Bin Liu, Ren Hui Kong, Xiao Bing Xiao
• Keywords: Compensation Principle, Genetic Algorithm (GA), Reactive Power Optimization, Regional Power Grid

References

[1] K. R. C. Mamandur and R. D. Chenoweth. Optimal Control of Reactive Power Flow for Improvements in Voltage Profits and Real Power Loss Minimization. IEEE Trans on Power Apparatus and System, Vol, PAS-100 No. 7, July 1981, pp.3185-3194.

DOI: 10.1109/tpas.1981.316646

[2] Jame A. Momoh S. X. Guo, E. C. Cgbuobiri and R. Adapa. The Quadratic Interior Point Method Solving Power System Optimization Problems. IEEE Trans on Power System, Vol. 9, No. 3 August 1994, pp.1327-1336.

DOI: 10.1109/59.336133

[3] Li Naihu. Optimal Voltage-Reactive Power Control With Discrete Variables. Automation of Electric Power Systems, Vol. 18, No. 12 December 1994, pp.5-11(in Chinese).

[4] D. L. Sun, Bruce Ashley and W. F. Tinney et. Al. Optimal Power Flow by Newton Approach. IEEE Trans on Power Apparatus and System, Vol. PAS-103, N0. 11, Nov. 1984, pp.2864-2880.

DOI: 10.1109/tpas.1984.318284

[5] R. C. Burchett and H. H. Happ. Quadratically Convergent Optimal Power Flow. IEEE Trans on Power Apparatus and System, Vol. PAS-103, N0. 11, Nov. 1984, pp.3267-3275.

DOI: 10.1109/tpas.1984.318568

[6] Kenji Iba. Reactive Power Optimization by Genetic Algorithm. IEEE Trans on Power Systems, Vol. 9, N0. 2, May. 1994, pp.685-691.

DOI: 10.1109/59.317674

[7] Kwang Ylee, Xiaomin Bai, Young Moom Park, Optimization Method for Reactive Power Planning by Using a Modified Simple Genetic Algorithm, IEEE Trans on Power Systems, Vol. 10, N0. 4, Nov. 1995, pp.1843-1850.

DOI: 10.1109/59.476049

[8] Liu Keyan, Sheng Wanxing, Li Yunhua. Research on Reactive Power Optimization Based on Improved Genetic Simulated Annealing. Power System Technology, Vol. 31, N0. 3, Feb. 2007, pp.13-18 (in Chinese).

DOI: 10.1109/icpst.2006.321627

[9] Wang Hongzhang, Xiong Xinliang, Wuyaowu. Power System Reactive Power Optimization Based on Modified Tabu Search Algorithm. Power System Technology, Vol. 26, N0. 1, Jan. 2002, pp.15-18 (in Chinese).

[10] S. J. Cheng, O. P. Malik, G. S. Hope. An Expert System for Voltage and Reactive Power Control of a Power System. IEEE Trans on Power Systems, Vol. 3, N0. 4, Nov. 1988, pp.1449-1455.

DOI: 10.1109/59.192952

[11] N. I wan Santoso, Owen T. Tan. Neural-Net Based Real-Time Control of Capacitors Installed on Distribution Systems. IEEE Trans on Power Delivery, Vol. 5, N0. 1, Jan. 1990, pp.266-272.

DOI: 10.1109/61.107283

[12] Guidelines on power system voltage and reactive power techniques (Trial Implementation). 1989 (in Chinese).