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Hybrid meta-heuristic optimization based home energy management system in smart grid

  • Zahoor Ali KhanEmail author
  • Ayesha Zafar
  • Sakeena Javaid
  • Sheraz Aslam
  • Muhammad Hassan Rahim
  • Nadeem Javaid
Original Research
  • 34 Downloads

Abstract

The emergence of the smart grid has empowered the consumers to manage the home energy in an efficient and effective manner. In this regard, home energy management (HEM) is a challenging task that requires efficient scheduling of smart appliances to optimize energy consumption. In this paper, we proposed a meta-heuristic based HEM system (HEMS) by incorporating the enhanced differential evolution (EDE) and harmony search algorithm (HSA). Moreover, to optimize the energy consumption, a hybridization based on HSA and EDE operators is performed. Further, multiple knapsacks are used to ensure that the load demand for electricity consumers does not exceed a threshold during peak hours. To achieve multiple objectives at the same time, hybridization proved to be effective in terms of electricity cost and peak to average ratio (PAR) reduction. The performance of the proposed technique; harmony EDE (HEDE) is evaluated via extensive simulations in MATLAB. The simulations are performed for a residential complex of multiple homes with a variety of smart appliances. The simulation results show that EDE performs better in terms of cost reduction as compared to HSA. Whereas, in terms of PAR, HSA is proved to be more efficient as compared to EDE. However, the proposed scheme outperforms the existing meta-heuristic techniques (HSA and EDE) in terms of cost and PAR.

Keywords

Smart grid Demand side management Heuristic techniques 

List of symbols

\(\rho\)

Power rating

\(\varsigma _{a,t}\)

Electricity price at time interval t

\(E_{in}\)

Power consumption of interruptible appliances

\(\rho _{in}\)

Power rating of interruptible appliances

t

Time slot

IN

Set of interruptible appliances

\(sv_{in}\)

ON/OFF status of interruptible appliances

NI

Set of non-interruptible appliances

\(E_{ni}\)

Power consumption of non-interruptible appliances

\(\rho _{ni}\)

Power rating of non-interruptible appliances

\(sv_{ni}\)

ON/OFF status of non-interruptible appliances

B

Set of base appliances

\(E_{b}\)

Power consumption of base appliances

\(\rho _{b}\)

Power rating of base appliances

\(sv_{b}\)

ON/OFF status of base appliances

L(t)

Power consumption of all appliances at time interval t

\(L_{total}^{sch}\)

Per day total scheduled load

\(L_{total}^{uns}\)

Per day total unscheduled load

\(C_{total}^{sch}\)

Per day total scheduled cost

\(C_{total}^{uns}\)

Per day total unscheduled cost

\(t_{\alpha }\)

Start time of an appliance

\(t_{\beta }\)

End time of an appliance

F

Scaling factor

NP

Population size

Abbreviations

SG

Smart grid

SM

Smart meter

DSM

Demand side management

DR

Demand response

RES

Renewable energy sources

PAR

Peak to average ratio

TOU

Time of use

IBR

Inclined block rate

CPP

Critical peak pricing

DAP

Day ahead pricing

RTP

Real time pricing

HSA

Harmony search algorithm

DE

Differential evolution

EDE

Enhanced differential evolution

GA

Genetic algorithm

CR

Cross over rate

HEM

Home energy management

EMC

Energy management controller

HAN

Home area network

HMCR

Harmony memory consideration rate

bw

Bandwidth

PSO

Particle swarm optimization

MILP

Mixed integer linear programming

PA

Pitch adjustment rate

MKP

Multiple knapsack problem

Notes

Funding

This project was full financially supported by the King Saud University, through the Vice Deanship of Research Chairs.

Compliance with ethical standards

Conflict of interest

The authors declare no conflicts of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.CIS, Higher Colleges of TechnologyFujairahUnited Arab Emirates
  2. 2.COMSATS University IslamabadIslamabadPakistan

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