Domestic electrical load management in smart grids and classification of residential loads

Ayan, Onur; Türkay, Belgin Emre

doi:10.1109/iceee2.2018.8391346

Cited by 28 publications

(10 citation statements)

References 9 publications

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“…In [48], DSM using Simulink/Matlab→ was implemented in order to verify the effect of DR on residential consumers and on the supply network as the cost of electricity and peak demand is high during on-peak periods. The third priority loads were shifted to Off-peak periods when the peak demand exceed the demand limit, which resulted in about 30% peak demand daily saving and about 11.28% daily saving in the electricity bill.…”

Section: Demand Side Management Techniques and Applications In Different Countriesmentioning

confidence: 99%

A Review on Demand Side Management Applications, Techniques, and Potential Energy and Cost saving

Shalaby

2021

Elektrika

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Electrical peak load demand all over the world is always anticipated to grow, which is challenging electrical utility to supply such increasing load demand in a cost effective, reliable and sustainable manner. Thus, there is a need to study some of load management (LM) techniques employed to minimize energy consumption, reduce consumers' electricity bills and decrease the greenhouse gas emissions responsible for global warming. This paper presents a review of several recent LM strategies and optimization algorithms in different domains. The review is complemented by tabulating several demand side management (DSM) techniques with a specific view on the used demand response (DR) programs, key finding and benefits gained. A special focus is directed to the communication protocols and wireless technology, incorporation of renewable energy resources (RERs), battery energy storage (BES), home appliances scheduling and power quality applications. The outcome of this review reveals that the real time pricing (RTP) is the most efficient price-based mechanism program (PBP), whilst time of use (TOU) is the basic PBP and easiest to implement. Energy efficiency programs have proved the highest influential impact on the annual energy saving over the other dynamic pricing mechanism programs. Through a forecasted proposal of future study, DSM proved tremendous potential annual energy savings, peak demand savings, and investment cost rates within different consumption sectors progressively up to year 2030.

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Section: Demand Side Management Techniques and Applications In Different Countriesmentioning

confidence: 99%

A Review on Demand Side Management Applications, Techniques, and Potential Energy and Cost saving

Shalaby

2021

Elektrika

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“…In fact, many advanced algorithms have been implemented to predict electrical loads like a Deep Neural Network Model (DNNM) and genetic analysis. High-dimensional smart meters provide many accumulated correct evidence [77]. It is very difficult to directly predict electrical loads using smart meters.…”

Section: F Smart Metering 1) Conceptmentioning

confidence: 99%

A Survey of Hydrogen Energy and I-Energy Applications: Household Intelligent Electrical Power Systems

Sami

2020

IEEE Access

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The authors would like to thank the DSR technical and financial support. ABSTRACT I-energy and its applications used in the smart grid are chosen as attractive research issues due to their widespread applications in the smart home. In this vein, the optimization of energy demand in smart home appliances, in a smart grid, is considered the main challenge faced by power companies during peak periods regarding its considerable effect on the global power system stabilities. Therefore, this paper aims to show explicitly the performance of smart grid on electricity and hydrogen applications with reused communication methods. To facilitate the understanding of the communication-reused methods in the smart grid, several components are identified and presented in terms of improvements, benefits and lack of features. In the smart grid, most innovation communications are being used as wireline and wireless bundle, where the main features are aggregated. Indeed, reducing consumers' electricity bills in smart home electrical systems relies on increasing the relationship between the highest energy demand and annual energy use. The most appropriate research has been reviewed on optimization approaches discussing the smart home electric system. The examined methods are categorized into trustworthy and metaheuristic algorithms. INDEX TERMS Smart home, I-energy concept, hydrogen-renewable energy system, smart meter, smart grid, risk management, demand-side management, AMI.

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“…In the demand-side management scheduling model, by effectively using the load-side resources, the investment costs of the power facilities and operation expenditures of the power grid can be reduced, thereby providing consumers with lower-cost energy services [8], [28]. By responding to the peak shaving demand of the power grid, the users reduce their demand for electricity consumption, thereby saving the investment cost of the power grid and improving the economic operation level of the power grid [29].…”

Section: ) Ecnomic Indicatorsmentioning

confidence: 99%

Review and Prospects for Evaluating Power Grid Dispatching Service Quality

Peng

Tang

2020

IEEE Access

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To reasonably evaluate the dispatching service quality of a power grid and comprehensively reflect the diversified demand satisfaction extent of the relevant stakeholders in the power system, it is imperative to construct an evaluation index system for power grid dispatching service quality, which should thoroughly consider the demand satisfaction of generation-side stakeholders, grid-side stakeholders, and load-side stakeholders. In this paper, the research status of the source-grid-load stakeholders' satisfaction indexes is overviewed from the perspective of their dispatching demand. The dispatching demand satisfaction indexes of the source-grid-load stakeholders and major evaluation methods in the literature are also summarized. According to current research progress, proposals for improving the rationality and efficiency of power grid dispatching service quality evaluation are also described. Finally, by combining the development demands of power grid dispatching service quality, we outline future research directions that involve dispatching demand satisfaction indexes evaluation for source-grid-load stakeholders in the power system.

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Domestic electrical load management in smart grids and classification of residential loads

Cited by 28 publications

References 9 publications

A Review on Demand Side Management Applications, Techniques, and Potential Energy and Cost saving

A Review on Demand Side Management Applications, Techniques, and Potential Energy and Cost saving

A Survey of Hydrogen Energy and I-Energy Applications: Household Intelligent Electrical Power Systems

Review and Prospects for Evaluating Power Grid Dispatching Service Quality

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