Demand-side Management of Residential Service Area Under Price-based Demand Response Program in Smart Grid
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)(2020)
摘要
Grid extension and construction of additional power plants based on conventional fuels are becoming a challenge to meet ramping-up load demand. This becomes more pressing especially in cost and time constraints. In order to alleviate these issues and bridge the gap of demand with supply, demand-side management (DSM) in the smart grid (SG) is considered as an effective solution. In this paper, DSM is performed through residential load-scheduling with the help of an energy management controller (EMC). The EMC introduced for residential load-scheduling is based on heuristic algorithms like; binary particle swarm optimization (BPSO), genetic algorithm (GA), and hybrid genetic BPSO (HGBPSO). The proposed heuristic-based EMC performs DSM by scheduling residential load under day-ahead price-based demand response (DR) program. The proposed scheme optimally performs DSM and results in an acceptable reduction of electricity cost, peak to average ratio (PAR), CO 2 emission, and user-discomfort all at once. Simulation results validate that HGBPSO-based EMC outperforms BPSO and GA-based EMC in the matter of management. The proposed scheme is highly suitable for real-life management of residential service in SG.
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关键词
Energy management controller,smart grid,heuristic algorithm,carbon reduction,residential load scheduling
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