Load Scheduling Optimization Using Heuristic Techniques and Combined Price Signal

Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 7)


In this paper, a comparative analysis of two heuristic algorithms, i.e., enhanced differential evolution (EDE) and tabu search (TS) with unschedule load approach for its optimality is proposed. This paper aims to achieve minimum electricity bill and maximum peak to average ratio (PAR) reduction while considering the factor of user satisfaction. In order to achieve our aim, an objective function of electricity cost reduction is made based upon the scheduling strategies. A combined model of pricing schemes, i.e., time of use (ToU) and critical peak pricing (CPP) is used to calculate electricity bill and to tackle the instability. We implemented a state of art user-defined taxonomy of appliances in our paper to deal with the user comfort appropriately in a residential area. Simulation results shows that our proposed strategy works better to encourage the users for intelligent power consumption.


Smart grid Demand side management Time of use tariff Critical peak pricing Home energy management 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan

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