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Wind Power Dispatching Method Based on High-Voltage and Large Capacity Electric Heat Storage

  • Weichun Ge
  • Lingwei Zhao
  • Shunjiang WangEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 921)

Abstract

The limitations of electric restricted by heat can be overcome by the application of super large capacity thermal storage in the thermoelectric system so that the flexibility and regulation performance of the power system can be enhanced effectively. In this paper, high voltage and super large capacity heating supply can be brought out by introducing high voltage into high density and high heat capacity solid heat storage devices in which multiple storage units can be series-parallel connected flexibly. Besides, the insulation fault can be solved by insolation technology of water and electricity. Minimizing the wind power curtailment under the prerequisites of the safety of power grid and heating quality by coordinating and optimizing the running mode of electric heat storage equipment according to constraint conditions of electrothermal integrated dispatching models as well as by improving wind power receiving ability by means of applying high voltage and super large capacity electric heat storage technology in the generation side. Automatic Generation Control (AGC) would connect high voltage switch during the period of presupposed power grid light load, or wind power curtailment. AGC would cut off the high voltage switch as soon as the high-temperature heat storage units reached the given upper limit temperature or the period of power grid light load and the wind power curtailment was over. We can seek for the optimum wind power curtailment period and the wind power accommodation limit more frequent by AGC directive. Finally, combined with the actual power system, the rationality of electrothermal optimal scheduling mode can be tested.

Keywords

Wind power accommodation Super large capacity Electric thermal storage Optimal scheduling 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.State Grid Liaoning Electric Power Supply Co., Ltd.ShenyangChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.Shenyang Institute of Computing Technology, Chinese Academy of SciencesShenyangChina

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