Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems

Julius Quarshie Azasoo; Triantafyllos Kanakis; Ali Al-Sherbaz; Michael Opoku Agyeman

doi:10.1109/ACCESS.2020.2965819

Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems

Julius Quarshie Azasoo, Triantafyllos Kanakis, Ali Al-Sherbaz, Michael Opoku Agyeman

Research output: Contribution to Journal › Article

Abstract

While the causes of power system outages are often complex and multi-faceted, an apparent deficit in generation compared to a known demand for electricity could be more alarming. A sudden hike in demand at any given time may ultimately result in the total failure of an electricity network. In this paper, algorithms to efficiently allocate the available generation is investigated. Dynamic programming based algorithms are developed to achieve this constraint by uniquely controlling home appliances to reduce the overall demands for electricity by the consumers on the grid in context. To achieve this, heuristic optimization method (HOM) based on the consumers’ comfort and the benefits to the electricity utility is proposed. This is then validated by simulating microload management in generation constrained power systems. Three techniques; General Shedding (GS), Priority Based Shedding (PBS) and Excess Reuse Shedding (ERS) techniques were studied for effecting efficient microload shedding. The research is aimed at reducing the burden imposed on the consumers in a generation constrained power system by the traditional load shedding approach. Additionally, the reduction of the excess curtailment is a prime objective in this paper as it helps the utility companies to reduce wastage and ultimately reduce losses resulting from over shedding. Reducing the peak-to-average ratios (PAR) on the entire network in context as a critical factor in the determination of the efficiency of an electricity network is also investigated. In the long run, the PAR affects the price charged to the final consumer. Simulation results show the associated benefits that include effectiveness, deployability, and scalability of the proposed HOM to reduce these burdens.

Original language	English
Pages (from-to)	13294-13304
Number of pages	11
Journal	IEEE Access
Volume	8
DOIs	https://doi.org/10.1109/ACCESS.2020.2965819
Publication status	Published - 10 Jan 2020

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Electricity

Domestic appliances

Dynamic programming

Outages

Scalability

Industry

Keywords

Demand-side management (DSM)
microload management
Smart Grid
smart metering
optimization
peak-to-average ratio (PAR)

Cite this

Azasoo, J. Q., Kanakis, T., Al-Sherbaz, A., & Agyeman, M. O. (2020). Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems. IEEE Access, 8, 13294-13304. https://doi.org/10.1109/ACCESS.2020.2965819

Azasoo, Julius Quarshie ; Kanakis, Triantafyllos ; Al-Sherbaz, Ali ; Agyeman, Michael Opoku. / Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems. In: IEEE Access. 2020 ; Vol. 8. pp. 13294-13304.

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Azasoo, JQ , Kanakis, T , Al-Sherbaz, A & Agyeman, MO 2020, 'Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems', IEEE Access, vol. 8, pp. 13294-13304. https://doi.org/10.1109/ACCESS.2020.2965819

Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems. / Azasoo, Julius Quarshie ; Kanakis, Triantafyllos ; Al-Sherbaz, Ali ; Agyeman, Michael Opoku.

In: IEEE Access, Vol. 8, 10.01.2020, p. 13294-13304.

Research output: Contribution to Journal › Article

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