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Smart city article details
| Title | Optimal Demand Side Management In Generation Constrained Power Systems |
|---|---|
| ID_Doc | 40367 |
| Authors | Azasoo J.Q.; Kanakis T.; Al-Sherbaz A.; Opoku Agyeman M. |
| Year | 2019 |
| Published | 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 |
| DOI | http://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00050 |
| 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 proven by the simulation results obtained. © 2019 IEEE. |
| Author Keywords | Demand side management; Generation constrained power systems; Microload management; Optimization; Smart grid; Smart metering |
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