An Integrated Generation-Compensation optimization Strategy for Enhanced Short-Term Voltage Security of Large-Scale Power Systems Using Multi-Objective Reinforcement Learning Method

@article{Deng2018AnIG,
  title={An Integrated Generation-Compensation optimization Strategy for Enhanced Short-Term Voltage Security of Large-Scale Power Systems Using Multi-Objective Reinforcement Learning Method},
  author={Zhuoming Deng and Mingbo Liu},
  journal={2018 International Conference on Power System Technology (POWERCON)},
  year={2018},
  pages={4099-4106}
}
High penetrations of industrial loads have placed significant pressures on short-term voltage security. This paper proposes an integrated generation-compensation optimization strategy, which coordinates the generators and the switchable capacitor banks to enhance short-term voltage security as a multi-objective dynamic optimization (MODO) model. This model is established containing dynamics, power flow balances, and security constraints to minimize the voltage deviation and the cost of control… CONTINUE READING

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