Optimal Demand Side Management in Generation Constrained Power Systems

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

doi:10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00050

Cited by 1 publication

(7 citation statements)

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“…Sectional power cuts which are known as load shedding used to avoid total blackout or overload on the generation constrained powers systems further create inconveniences for both the consumers and their providers [14]. However, this has become a necessary evil as the failure to forcefully reduce the demand can result in the total collapse of the entire network.…”

Section: Introductionmentioning

confidence: 99%

“…This paper is an extended version of [40] and [14]. The work reported in [40] focuses on the optimization of microload shedding in generation constrained power systems where a distributed DSM system is modeled to combine both traditional electricity grid and smart grid.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the second work in [14] further investigated 2% and 5% microload shedding under the 6 priority levels in addition to those in [40]. Additionally, the controllable loads were increased from six (6) to thirty-five (35) priority levels to increase the control to observe the shedding accuracy it presents.…”

Section: Introductionmentioning

confidence: 99%

“…However, this paper, in addition to the works reported in [40] and [14], we investigate a heuristic optimization method (HOM) based on the consumers' comfort and its benefits to the electric utility. Three techniques, namely; General Shedding (GS), Priority Based Shedding (PBS) and Excess Reuse Shedding (ERS) were studied for effecting efficient microload shedding.…”

Section: Introductionmentioning

confidence: 99%

“…Three techniques, namely; General Shedding (GS), Priority Based Shedding (PBS) and Excess Reuse Shedding (ERS) were studied for effecting efficient microload shedding. The PBS for six (6) grouped (GPL) microloads was investigated in [40] and extended in [14] to cover the discussions on thirty-five (35) Ungrouped microload (UPL) shedding and the corresponding priority optimization and PAR optimization. This extension focuses on GS of GPL and UPL shedding.…”

Section: Introductionmentioning

confidence: 99%

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Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems

et al. 2020

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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. INDEX TERMS Demand-side management (DSM), microload management, smart grid, smart metering, optimization, peak-to-average ratio (PAR).

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Section: Introductionmentioning

confidence: 99%