scholarly journals Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

2016 ◽  
Vol 8 (9) ◽  
pp. 929 ◽  
Author(s):  
Kris Kessels ◽  
Carolien Kraan ◽  
Ludwig Karg ◽  
Simone Maggiore ◽  
Pieter Valkering ◽  
...  
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Dynamic Pricing ◽  
Energy Use ◽  
Considerable Effect ◽  
End Users ◽  
Automated Control ◽  
Survey Paper ◽  
Residential Demand ◽  
Pricing Schemes

Many smart grid projects make use of dynamic pricing schemes aimed to motivate consumers to shift and/or decrease energy use. Based upon existing literature and analyses of current smart grid projects, this survey paper presents key lessons on how to encourage households to adjust energy end use by means of dynamic tariffs. The paper identifies four key hypotheses related to fostering demand response through dynamic tariff schemes and examines whether these hypotheses can be accepted or rejected based on a review of published findings from a range of European pilot projects. We conclude that dynamic pricing schemes have the power to adjust energy consumption behavior within households. In order to work effectively, the dynamic tariff should be simple to understand for the end users, with timely notifications of price changes, a considerable effect on their energy bill and, if the tariff is more complex, the burden for the consumer could be eased by introducing automated control. Although sometimes the mere introduction of a dynamic tariff has proven to be effective, often the success of the pricing scheme depends also on other factors influencing the behavior of end users. An important condition to make dynamic tariffs work is that the end users should be engaged with them.

An Autonomous Residential Smart Distribution Board: A Panacea for Demand Side Energy Management for Non-Smart Grid Networks

2018 ◽  
Vol 19 (3) ◽  
Author(s):  
Oladayo O. Olakanmi ◽  
Oluyemi Adetoyi ◽  
Oluwafemi Fajemisin
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Demand Response ◽  
Dynamic Pricing ◽  
Performance Comparison ◽  
Usage Pattern ◽  
Energy Usage ◽  
Grid Networks ◽  
A Priority ◽  
Priority Model

Abstract Despite the benefits of demand response in energy management, the non-existence of its key concepts; dynamic pricing and smart grid, in some countries makes its impracticable in these countries, therefore making energy management unattainable for their consumers. This paper proposed a Smart Distribution Board (SDB) using a priority model for energy management in non-smart grid network. An historical consumption signatures of user’s loads were used to develop a priority model for load units of the SDB. Performance comparison was carried out between the SDB and a conventional Distribution Board which has no level of intelligence. Results obtained indicated that the SDB correctly emulated the energy usage pattern of users, thereby ensuring load preference is maximally satisfied autonomously within a limited budgeted energy and period.

An automated residential demand response pilot experiment, based on day-ahead dynamic pricing

2015 ◽  
Vol 155 ◽  
pp. 195-203 ◽  
Author(s):  
Koen Vanthournout ◽  
Benjamin Dupont ◽  
Wim Foubert ◽  
Catherine Stuckens ◽  
Sven Claessens
Keyword(s):  
Demand Response ◽  
Dynamic Pricing ◽  
Pilot Experiment ◽  
Residential Demand

A review of residential demand response of smart grid

2016 ◽  
Vol 59 ◽  
pp. 166-178 ◽  
Author(s):  
Haider Tarish Haider ◽  
Ong Hang See ◽  
Wilfried Elmenreich
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Residential Demand

scholarly journals Expert Assessment of Prioritized Determinants For a Smarter Grid Through The Lens of Residential Demand Response: The Case Study of Ontario, Canada

2021 ◽  
Vol 8 ◽  
pp. 33-46
Author(s):  
Iliopoulos Nikolaos ◽  
◽  
Onuki Motoharu ◽  
Nistor Ioan ◽  
Esteban Miguel
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Smart Grids ◽  
Policy Implications ◽  
Expert Assessment ◽  
Private Data ◽  
Residential Demand ◽  
Technological Limitations ◽  
Demand Response Programs

In recent years, smart grids have attracted considerable attention. However, despite the promising potential of the technologies encompassed within such systems, their adoption has been slow, geographically varied, and in the context of residential demand response, often subject to public scrutiny. The heterogeneous evolution of the smart grid is not only the product of technological limitations but is additionally sensitive to socio-political considerations prevalent at the national or provincial level. Through expert interviews that were conducted in Ontario, Canada, this study provides insights into which smart grid factors are considered as most important for its development, and also what are the drivers, inhibitors, benefits, and drawbacks that a smart grid provides and / or entails, placing particular emphasis on residential demand response programs. The constructs scrutinized were adapted from previous studies, and the information collected was analyzed following the procedure of the Grounded Delphi Method. The findings indicate that a consensus was reached, in that smart grids pave the way for increased demand flexibility and loss reductions, though these are contingent on measures being implemented regarding the creation of investment opportunities, engagement of consumers, and ensuring the security of private data. Relevant policy implications and research recommendations are also explored.

scholarly journals An Overview of Demand Response in Smart Grid and Optimization Techniques for Efficient Residential Appliance Scheduling Problem

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4266
Author(s):  
Amit Shewale ◽  
Anil Mokhade ◽  
Nitesh Funde ◽  
Neeraj Dhanraj Bokde
Keyword(s):  
Smart Grid ◽  
User Satisfaction ◽  
Dynamic Pricing ◽  
New Technologies ◽  
Heuristic Algorithms ◽  
Optimization Techniques ◽  
Future Research ◽  
Scheduling Problem ◽  
Electricity Cost ◽  
Pricing Schemes

Smart grid (SG) is a next-generation grid which is responsible for changing the lifestyle of modern society. It avoids the shortcomings of traditional grids by incorporating new technologies in the existing grids. In this paper, we have presented SG in detail with its features, advantages, and architecture. The demand side management techniques used in smart grid are also presented. With the wide usage of domestic appliances in homes, the residential users need to optimize the appliance scheduling strategies. These strategies require the consumer’s flexibility and awareness. Optimization of the power demand for home appliances is a challenge faced by both utility and consumers, particularly during peak hours when the consumption of electricity is on the higher side. Therefore, utility companies have introduced various time-varying incentives and dynamic pricing schemes that provides different rates of electricity at different times depending on consumption. The residential appliance scheduling problem (RASP) is the problem of scheduling appliances at appropriate periods considering the pricing schemes. The objectives of RASP are to minimize electricity cost (EC) of users, minimize the peak-to-average ratio (PAR), and improve the user satisfaction (US) level by minimizing waiting times for the appliances. Various methods have been studied for energy management in residential sectors which encourage the users to schedule their appliances efficiently. This paper aims to give an overview of optimization techniques for residential appliance scheduling. The reviewed studies are classified into classical techniques, heuristic approaches, and meta-heuristic algorithms. Based on this overview, the future research directions are proposed.

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