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Multi-objective control-based home energy management system with smart energy meter

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Abstract

This article presents an efficient home energy management system for residential household within a microgrid. The smart meter's database initially stores the consumer's solar generation, battery's state of charge, and appliance-level information. Both the appliance's consumption and its state of operation are gathered. The end-user's energy use habits are then investigated using this data. As a consequence, accurate data on the frequency of usage, preferred operation interval, and average power consumption of the appliances were gathered using a time-of-day schedule. The outcomes were integrated with a Competitive Price Tracking algorithm to produce a smart home energy management solution that is efficient and user-focused. In addition to providing the optimum energy management strategy for a smart home in a microgrid, the developed model planned the controllable loads by taking into account consumer comfort and a separate waiting factor for each Appliances. The suggested model is demonstrated via simulation in the Typhoon HIL Real-Time Simulator. The operating cost recorded from the simulation is 155.08 INR, 150.56 INR, and 130.54 INR for case 1, 2, and 3, respectively. However, the proposed method is compared to other method, where operating cost from NILM-based method is recorded as 155.08 INR,153.12 INR, and 142.98 INR for case 1,2, and 3, respectively, and 151.38 INR for all cases, recorded from traditional Method.

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Abbreviations

HEMS:

Home energy management system

SoC:

State of charge

FoU:

Frequency of use

POI:

Preferred operating interval

APC:

Average power consumption

EMS:

Energy management system

CCF:

Consumer comfort factor

RTP:

Real-time pricing

ALT:

Appliance load tracking

NILM:

Non-intrusive load monitoring

ILM:

Intrusive load monitoring

SEM:

Smart energy meter

\(\lambda \) :

Appliance waiting factor

\(\alpha \) :

Consumer comfort factor

\(\gamma \) :

Shiftable duration

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Authors and Affiliations

  1. Electrical Engineering Department, National Institute of Technology, Jamshedpur, Jharkhand, India

    Gautam Kumar, Lalit Kumar & Sanjay Kumar

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  1. Gautam Kumar
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  2. Lalit Kumar
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  3. Sanjay Kumar
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GK is a major contributor in writing the manuscript, LK performed analysis of result, and SK reviewed and supervised the work.

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Correspondence to Gautam Kumar.

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Kumar, G., Kumar, L. & Kumar, S. Multi-objective control-based home energy management system with smart energy meter. Electr Eng 105, 2095–2105 (2023). https://doi.org/10.1007/s00202-023-01790-x

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