Differential Evolution Algorithm Based Energy Management of Residential Microgrid Under Appliance Scheduling DSM

Abstract

Depending on the appliance scheduling strategy of the demand side management (DSM), this article elucidates a new mixed-integer linear programming-based method to optimize the operation of a residential microgrid furnished with several deferrable but non-interruptible devices. Unlike previous literatures here flexible loads are not curtailed but delayed and distributed over the entire operation time window, specified by the users. The solution process is designed based on differential evolution (DE) algorithm. Numerical simulation on a practical residential area data proves the efficacy of the proposed strategy in both grid tied and islanded for certain hours scenarios. Further, the simulations results are compared with other heuristic search techniques to prove better performance of DE. Again, convergence of the DE algorithm is validated by linearizing the problem and solved using mixed integer linear programming commercial solver present in MATLAB.