Optimal Demand Side Management in Generation Constrained Power Systems

Research output: Contribution to Book/Report typesConference contribution

Abstract

In the face of dwindling generation from hydro- electric generators in most developing countries coupled with a continuous increase in electricity demand is forcing the electric utility companies to effect various demand-side management (DSM). Amongst the DSMs being implemented in these countries is the severe load shedding method that seeks to reduce the overall demand by cutting off sections of a grid resulting in a complete power cut to the affected areas. In this paper, the potential of the smart grid is harnessed to enable micro-load shedding to avoid a complete cut-off from the grid. Algorithm for efficient allocation of available generation is proposed. Dynamic programming based algorithms are developed to achieve this constraint by granularly controlling home appliances to reduce the overall demands for electricity by the consumers on the grid. The efficacy of the proposed system is proved by the simulation results obtained.
Original languageEnglish
Title of host publicationIEEE
Publication statusAccepted/In press - 29 Apr 2019
EventIEEE Smart World Congress -
Duration: 19 Aug 2019 → …

Conference

ConferenceIEEE Smart World Congress
Period19/08/19 → …

Fingerprint

Electricity
Hydroelectric generators
Domestic appliances
Electric utilities
Dynamic programming
Developing countries
Industry
Demand side management

Keywords

  • Demand Side Management
  • Smart Grid
  • Smart Metering
  • Optimisation
  • microload management

Cite this

@inproceedings{970919f50527477cb090cfdc95992465,
title = "Optimal Demand Side Management in Generation Constrained Power Systems",
abstract = "In the face of dwindling generation from hydro- electric generators in most developing countries coupled with a continuous increase in electricity demand is forcing the electric utility companies to effect various demand-side management (DSM). Amongst the DSMs being implemented in these countries is the severe load shedding method that seeks to reduce the overall demand by cutting off sections of a grid resulting in a complete power cut to the affected areas. In this paper, the potential of the smart grid is harnessed to enable micro-load shedding to avoid a complete cut-off from the grid. Algorithm for efficient allocation of available generation is proposed. Dynamic programming based algorithms are developed to achieve this constraint by granularly controlling home appliances to reduce the overall demands for electricity by the consumers on the grid. The efficacy of the proposed system is proved by the simulation results obtained.",
keywords = "Demand Side Management, Smart Grid, Smart Metering, Optimisation, microload management",
author = "Julius Azasoo and Triantafyllos Kanakis and Ali Al-Sherbaz and {Opoku Agyeman}, Michael",
year = "2019",
month = "4",
day = "29",
language = "English",
booktitle = "IEEE",

}

Optimal Demand Side Management in Generation Constrained Power Systems. / Azasoo, Julius; Kanakis, Triantafyllos; Al-Sherbaz, Ali; Opoku Agyeman, Michael.

IEEE. 2019.

Research output: Contribution to Book/Report typesConference contribution

TY - GEN

T1 - Optimal Demand Side Management in Generation Constrained Power Systems

AU - Azasoo, Julius

AU - Kanakis, Triantafyllos

AU - Al-Sherbaz, Ali

AU - Opoku Agyeman, Michael

PY - 2019/4/29

Y1 - 2019/4/29

N2 - In the face of dwindling generation from hydro- electric generators in most developing countries coupled with a continuous increase in electricity demand is forcing the electric utility companies to effect various demand-side management (DSM). Amongst the DSMs being implemented in these countries is the severe load shedding method that seeks to reduce the overall demand by cutting off sections of a grid resulting in a complete power cut to the affected areas. In this paper, the potential of the smart grid is harnessed to enable micro-load shedding to avoid a complete cut-off from the grid. Algorithm for efficient allocation of available generation is proposed. Dynamic programming based algorithms are developed to achieve this constraint by granularly controlling home appliances to reduce the overall demands for electricity by the consumers on the grid. The efficacy of the proposed system is proved by the simulation results obtained.

AB - In the face of dwindling generation from hydro- electric generators in most developing countries coupled with a continuous increase in electricity demand is forcing the electric utility companies to effect various demand-side management (DSM). Amongst the DSMs being implemented in these countries is the severe load shedding method that seeks to reduce the overall demand by cutting off sections of a grid resulting in a complete power cut to the affected areas. In this paper, the potential of the smart grid is harnessed to enable micro-load shedding to avoid a complete cut-off from the grid. Algorithm for efficient allocation of available generation is proposed. Dynamic programming based algorithms are developed to achieve this constraint by granularly controlling home appliances to reduce the overall demands for electricity by the consumers on the grid. The efficacy of the proposed system is proved by the simulation results obtained.

KW - Demand Side Management

KW - Smart Grid

KW - Smart Metering

KW - Optimisation

KW - microload management

M3 - Conference contribution

BT - IEEE

ER -