Optimal power management strategy for energy storage with stochastic loads

HIGHLIGHTS

  • who: Stefano Pietrosanti and collaborators from the School of Systems Engineering, University of Reading, Whiteknights, Reading , AY, UK have published the research work: Optimal Power Management Strategy for Energy Storage with Stochastic Loads, in the Journal: Energies 2016, 9, 175 of /2016/
  • what: The results of the model show increased energy savings and reduced peak power demand with respect to existing control strategies indicating considerable potential savings for port operators in terms of energy and maintenance costs. The focus of this paper is to develop an optimal control strategy to be applied to energy storage . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?