An Intelligent Load Management System With Renewable Energy Integration for Smart Homes
作者： Nadeem Javaid , Ihsan Ullah , Mariam Akbar , Zafar Iqbal , Farman Ali Khan
DOI: 10.1109/ACCESS.2017.2715225
关键词: Smart grid 、 Environmental economics 、 Load management 、 Renewable energy 、 Evolutionary algorithm 、 Simulation 、 Energy management 、 Electricity 、 Computer science 、 Peak demand
摘要: Demand side management (DSM) will play a significant role in the future smart grid by managing loads way. DSM programs, realized via home energy systems for cities, provide many benefits; consumers enjoy electricity price savings and utility operates at reduced peak demand. In this paper, evolutionary algorithms-based (binary particle swarm optimization, genetic algorithm, cuckoo search) model scheduling appliances of residential users is presented. The simulated time use pricing environment three cases: 1) traditional homes; 2) 3) homes with renewable sources. Simulation results show that proposed optimally schedules resulting bill peaks reductions.
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