Abstract
Superabundant utilization of electricity in the residential sector is one of the major reasons for frequent peak demand. Hence, power sector necessitates an appropriate solution to control and monitor the peak demand. In this regard, implementation of an appropriate home energy management system becomes mandatory at customer premises to have an effective control over peak demand. Thus, in this research a simple home energy management using Two-Phase Simplex Method (TPSM) is proposed with an objective to (i) reduce peak demand, (ii) reduce consumer consumption cost, and (iii) conserve consumer comfort level. Further, the research proposes detailed investigations on the smart energy-home management model monitored by IoT. For simulations, different load scenarios are considered and the results are compared with the existing benchmarks available in the literature. On validations, the proposed TPSM method is found simple, reliable and efficient. More importantly, the multipurpose objectives has certainly given better results in consumer consumption cost that can give better control to peak demand. Furthermore, the usage of lucid simplex method has almost reduced the computational complexity to fasten the response time. In this regard, consumer comfort is served here is considered as a major accomplishment with the proposed work.
Highlights
Modernization with recent technology driven by the advancement in power electronics has made the common mankind to utilize the electronic home appliances in regular routines
Implementation of much effective Home– Energy Management (HEM) can be achieved with the assistance from smart grid technology
It is notable that cost of Optimum Solution (OPTSol) and PRDSol is lesser as 272 cents and 287 cents since, the methods has not scheduled 100% task
Summary
Modernization with recent technology driven by the advancement in power electronics has made the common mankind to utilize the electronic home appliances in regular routines. The productive advancements in electric vehicle technology is considered as one of the probable inclusions in home energy management for battery charging This again increases the burden on utility to raise the power demand and peak demand. Many researches has handled this problem to build an efficient HEM system that can overcome peak demand and reduce consumer electricity cost [2]. With a primary objective to provide HEM for multi-residential consumers, a demand scheduling scheme was introduced in [6] This method needs to share bulk information data between consumers and utility and it requires expensive communication infrastructure for implementation. The HEM algorithms with the integration of renewables are the recent research attractions found in literature [8]–[10] to reduce peak demand and there cost.
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