A Survey on Demand-Response in HEMS: Algorithm Types, Objectives and Constraints
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)(2019)
摘要
Introduction of HEMS (Home Energy Management System) has revolutionaries' smart homes. The integration of Demand Response(DR) programs for example, PSO (Particle Swarm Optimization), GA(Genetic Algorithm), WDN (Wind Driven Algorithm) and BPSO (Binary Particle Swarm Optimization) has further improve the HEMS in smart homes, making it possible for households to manage their electricity in accordance with the manner and preferences that fits their energy plan. This program has also helped the consumer keep track of his electricity consumption. With the incorporation of DR-programs in HEMS, it has enabled consumers manage the demand and supply of electricity consumption whiles encouraging the use of HEMS. Given this background on DR role in HEMS this paper gives a review on DR in HEMS taking in to consideration Algorithm types, Objectives and Algorithm constraints.
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关键词
Home Energy Management System, Demand Response, Particle Swarm Optimization, Genetic Algorithm, Wind Driven Algorithm and Binary Particle Swarm Optimization.
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