Electrical Engineering-Systems Dept.

*** SEMINAR ***

Doron Lifshitz

(M.Sc. student under the supervision of Prof. George Weiss)

on the subject:

Near-Optimal Energy Management Algorithms For Grid-Connected Storage Systems

We propose three near optimal (to a desired degree) deterministic charge/discharge policies for the maximization of profit in a grid-connected storage system. The changing price of electricity is assumed to be known in advance. Three near-optimal algorithms are developed for the following three versions of this optimization problem:

1) The system has supercapacitor type storage, controlled in continuous time.

2) The system has supercapacitor or battery type storage, and it is controlled in

    discrete time (i.e., it must give constant power during each sampling period).

3) The system has battery type storage, controlled in continuous time.

   We give algorithms for the approximate solution of these problems using dynamic programming. The differences between the optimal charge/discharge policies for each of the three systems are discussed. In case 1) we prove that a bang off bang (BOB) type policy is optimal. This is not true in the other cases. The advantages of using a battery model that takes into account the diffusion of charges are discussed and both simulation and experimental results are shown.