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 - 2020/4/9
Y1 - 2020/4/9
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 proven 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 proven by the simulation results obtained.
KW - Demand Side Management
KW - Smart Grid
KW - Smart Metering
KW - Optimisation
KW - microload management
UR - https://www.mendeley.com/catalogue/bb0ff5bc-3266-38a9-88fd-a5ee698dbeb6/
U2 - 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00050
DO - 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00050
M3 - Conference Contribution
SN - 9781728140346
T3 - Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
SP - 29
EP - 36
BT - 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation
PB - IEEE
T2 - 5th IEEE Smart World Congress 2019
Y2 - 19 August 2019 through 23 August 2019
ER -
