Fostering Residential Demand Response through Developing Proactive and Elastic Demand Approaches. An Overview DR

Muhammad Hussaina; Yan Gao; Zhihong Xua

Fostering Residential Demand Response through Developing Proactive and Elastic Demand Approaches. An Overview DR

Muhammad Hussaina * §

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Yan Gao

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Zhihong Xua

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University of Shanghai for Science and Technology

Fostering Residential Demand Response through Developing Proactive and Elastic Demand Approaches. An Overview DR

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Abstract

Demand response (DR) is one of the major stakeholders in the smart grid and has been used as an energy reconciler between supply and demand. After a literature overview, the importance of the paper is enhanced by having a theoretical and behavioral-based analysis of DR in power systems. In this work, the potential factors that influence more DR among customers and the residential market as a whole have been discussed. The customers’ elastic demand approach can pave the way for adapting a responsive demand mechanism that ensures the system reliability and cost effective measures. Alternatively, this approach can make the program more effective and supportive in serving the social welfare as whole.

References

35 Cites in Article

Reference Format

Hongxun Hui,Yi Ding,Weidong Liu,You Lin,Yonghua Song (2017). Operating reserve evaluation of aggregated air conditioners.
M Albadi,E El-Saadany (2008). A summary of demand response in electricity markets.
U Programme (2009). Integrated Assessment of Short-Lived Climate Pollutants in Latin America and the Caribbean.
Thanh Nguyen,Michael Negnevitsky,Martin De Groot (2011). Pool-based Demand Response Exchange: Concept and modeling.
Peter Palensky,Dietmar Dietrich (2011). Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads.
O Kilkki,A Alahaivala,I Seilonen (2015). Optimized Control of Price-Based Demand Response with Electric Storage Space Heating.
Kris Kessels,Carolien Kraan,Ludwig Karg,Simone Maggiore,Pieter Valkering,Erik Laes (2016). Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe.
A Asadinejad,A Rahimpour,K Tomsovic,H Qi,C Chen (2018). Evaluation of residential customer elasticity for incentive based demand response programs ☆.
Ailin Asadinejad,Kevin Tomsovic,Chien-Fei Chen (2016). Sensitivity of incentive based demand response program to residential customer elasticity.
George Baker,Michael Jensen,Kevin Murphy (2012). Compensation and Incentives: Practice vs. Theory.
U Of Energy (2006). Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them.
I Agency (2003). The power to choose : demand response in liberalised electricity markets.
D Niu,Z Chen (2008). Demand response in electricity markets.
Muhammad Hussain,Yan Gao (2018). A review of demand response in an efficient smart grid environment.
T Economist (2009). Energy: Building the smart grid.
J Han,M Piette (2008). Solutions for Summer Electric Power Shortages: Demand Response andits Applications in Air Conditioning and Refrigerating Systems.
Yongxiu He,Bing Wang,Jianhui Wang,Wei Xiong,Tian Xia (2012). Residential demand response behavior analysis based on Monte Carlo simulation: The case of Yinchuan in China.
D Kirschen,G Strbac,P Cumperayot (2000). Dilemar De Paiva Mendes Factoring the elasticity of demand in electricity prices.
Xinyao Qu,Hongxun Hui,Shengchun Yang,Yaping Li,Yi Ding (2018). Price elasticity matrix of demand in power system considering demand response programs.
A Faruqui,S Sergici (2010). Household response to dynamic pricing of electricity: a survey of 15 experiments.
P Baboli,M Eghbal,M Moghaddam,H Aalami (2012). Customer behavior based demand response model.
Ahmad Faruqui,Sanem Sergici,Ahmed Sharif (2010). The impact of informational feedback on energy consumption—A survey of the experimental evidence.
Saeed Mohajeryami,Milad Doostan,Peter Schwarz (2016). The impact of Customer Baseline Load (CBL) calculation methods on Peak Time Rebate program offered to residential customers.
Aqsa Naeem,Ali Shabbir,Naveed Ul Hassan,Chau Yuen,Ayaz Ahmad,Wayes Tushar (2015). Understanding Customer Behavior in Multi-Tier Demand Response Management Program.
Joan Luft (1994). Bonus and penalty incentives contract choice by employees.
Hammed Amusa,Kafayat Amusa,Ramos Mabugu (2009). Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration.
Rahul Walawalkar,Seth Blumsack,Jay Apt,Stephen Fernands (2008). An economic welfare analysis of demand response in the PJM electricity market.
A Faruqui,A Hajos,R Hledik,S Newell (2010). Fostering economic demand response in the Midwest ISO☆.
Salla Annala,Satu Viljainen,Jussi Tuunanen (2012). Demand response from residential customers' perspective.
Joao Spinola,Pedro Faria,Zita Vale (2015). Economic Impact of Demand Response in the Scheduling of Distributed Energy Resources.
F Pazheri,M Othman (2013). Environmental and economic power dispatch for hybrid power system with distributed energy storage.
M Albadi,E El-Saadany (2007). Demand Response in Electricity Markets: An Overview.
E Matallanas,M Castillo-Cagigal,A Gutiérrez,F Monasterio-Huelin,E Caamaño-Martín,D Masa,J Jiménez-Leube (2012). Neural network controller for Active Demand-Side Management with PV energy in the residential sector.
R Levy,K Herter,J Wilson (2004). Selecting windows for energy efficiency.
Jane Long,John Shepherd (2014). The Strategic Value of Geoengineering Research.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Muhammad Hussaina, Yan Gao, Zhihong Xua. 2018. "Fostering Residential Demand Response through Developing Proactive and Elastic Demand Approaches. An Overview DR". Global Journal of Research in Engineering, Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 18 (GJRE Volume 18 Issue F5).

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GJRE Volume 18 Issue F5

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-F Classification FOR Code: 090699

Submission ReceivedDecember 8, 2017
Peer Review Double Blind
Handling Editor
Accepted January 5, 2018
Published January 15, 2018

Version of record

v1.2

Issue date

December 4, 2018

Language

English

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Article Matrices

Total Score: 133

Country: China

Subject: Global Journal of Research in Engineering

Authors: Muhammad Hussain, Yan Gao, Zhihong Xua (PhD/Dr. count: 0)

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