A Heuristic Scheduling Approach for Demand Side Energy Management

In this paper, we proposed a mechanism for power scheduling problem in Home Energy Management System using two heuristic algorithms Tabu Search (TS) and Enhanced Differential Equation (EDE) with Real time pricing scheme. The aim of this proposed scheduling mechanism is to find an optimal daily load schedule which can achieve a balanced trade-off between electricity cost and user comfort with respect to management of peak hour load. Simulation results show that TS has achieved a lower waiting time than EDE. Whereas, EDE has performed better than TS in reducing cost. Moreover, according to overall results TS performed better in comparison to other as it achieves a balanced trade-off between cost and user comfort and also avoids peak formation.