Paper
23 January 2017 Optimal line drop compensation parameters under multi-operating conditions
Yuan Wan, Hang Li, Kai Wang, Zhe He
Author Affiliations +
Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103223A (2017) https://doi.org/10.1117/12.2265211
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China
Abstract
Line Drop Compensation (LDC) is a main function of Reactive Current Compensation (RCC) which is developed to improve voltage stability. While LDC has benefit to voltage, it may deteriorate the small-disturbance rotor angle stability of power system. In present paper, an intelligent algorithm which is combined by Genetic Algorithm (GA) and Backpropagation Neural Network (BPNN) is proposed to optimize parameters of LDC. The objective function proposed in present paper takes consideration of voltage deviation and power system oscillation minimal damping ratio under multi-operating conditions. A simulation based on middle area of Jiangxi province power system is used to demonstrate the intelligent algorithm. The optimization result shows that coordinate optimized parameters can meet the multioperating conditions requirement and improve voltage stability as much as possible while guaranteeing enough damping ratio.
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Yuan Wan, Hang Li, Kai Wang, and Zhe He "Optimal line drop compensation parameters under multi-operating conditions", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103223A (23 January 2017); https://doi.org/10.1117/12.2265211
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KEYWORDS
Transformers

Optimization (mathematics)

Computer simulations

Neural networks

Evolutionary algorithms

Genetic algorithms

Power supplies

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