Control Strategy of Energy Storage for Frequency Coordination Dispatch Based on Improved Niche Genetic Algorithm

  • Daojun Chen
  • Nianguang Zhou
  • Cui Ting
  • Chenkun Li
  • Hu Guo
  • Lei Zhang
  • Xunting Wang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 658)


In order to reduce the operating cost of power frequency control, a control strategy based on energy storage optimization is presented. The aim of the control strategy is maximizes the use of power provided by new energy power supply and reduces the electric energy from real-time power grid; the operation cost is effectively reduced without influences on the power life by reasonable charge and discharge strategy of energy storage, by the improved niche genetic algorithm based on fuzzy clustering, a hour level of scheduling plan is given by this case. Based on the uncertainty on the energy demand and supply, the optimal value of the direct purchase of the frequency control is determined. The computation results show that under the same condition of system framework, load and operating environment, through reasonable and effective operation of the frequency control strategy, effectively reduce the operating costs of the system, has a high practical value.


Freqnecy contrl Energy storage Improved niche genetic algorithm Operating cost 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Daojun Chen
    • 1
  • Nianguang Zhou
    • 2
  • Cui Ting
    • 1
  • Chenkun Li
    • 1
  • Hu Guo
    • 1
  • Lei Zhang
    • 3
  • Xunting Wang
    • 4
  1. 1.State Grid Hunan Electric Power Corporation Research InstituteChangshaChina
  2. 2.State Grid Hunan Electric Power CorporationChangshaChina
  3. 3.Hunan Xiangdian Test and Research Institute Company LimitedChangshaChina
  4. 4.School of Electrical EngineeringWuhan UniversityWuhanChina

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