Dynamic Demand Response Controller Based on Real-Time Retail Price for Residential Buildings

Yoon, Ji Hoon; Baldick, Ross; Novoselac, Atila

doi:10.1109/tsg.2013.2264970

Cited by 306 publications

(148 citation statements)

References 16 publications

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“…The results show that application of DR programs can reduce the retail electricity price offered to the consumers. In [83] dynamic retail pricing scheme is proposed to reduce peak loads and electricity bills for household consumers. In [84] the Stackelberg game-based DR algorithm is addressed to control the load of consumers in response to the retail price offered to the consumers through real time pricing scheme.…”

Section: Retail Energy Management In Presence Of Newly Emerged Entitiesmentioning

confidence: 99%

Retail Energy Management in Electricity Markets: Structure, Challenges and Economic Aspects- a Review

Golmohamadi

Keypour

2017

Technol Econ Smart Grids Sustain Energy

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In the rapidly growing global energy consumption, electrical energy plays the important role. Environmental concerns about air pollution, fossil fuels depletion and energy crisis have led policy makers of energy systems to increase the portion of electricity in the energy portfolio. On the other hand, economic crises, especially in recent years, have increased the electricity price. With decreased purchasing power, end-use consumers are encouraged to participate in Demand Side Management (DSM) programs, e.g. Demand Response Programs (DRPs), to decrease their electricity bills. In such situation, retail energy management attracts attention in both development and improvement. This paper reviews the concept of retail energy management in modern structure of electricity markets. The objectives of this study are: a) review techno-economic studies in the literature to identify the main structure of retail energy management; b) review the different retail market studies for assessing economic performance; c) present a comprehensive evaluation about the role of DRPs in retail energy management; d) carry out an extensive survey of optimization approaches, mathematical modeling and optimization software about the retail energy management. This paper provides a template for market participants to optimize energy management in the retail side of electricity markets. The proposed structure encourages the efficient development of retail electricity market while eliminating

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Section: Retail Energy Management In Presence Of Newly Emerged Entitiesmentioning

confidence: 99%

Retail Energy Management in Electricity Markets: Structure, Challenges and Economic Aspects- a Review

Golmohamadi

Keypour

2017

Technol Econ Smart Grids Sustain Energy

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“…A Dynamic Demand Response Controller (DDRC) has been designed in [16]. The purpose of DDRC is to control the Heating Ventilation Air Conditioning (HVAC) unit according to Real-Time Pricing (RTP) signals.…”

Section: Related Workmentioning

confidence: 99%

An Enhanced System Architecture for Optimized Demand Side Management in Smart Grid

et al. 2016

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Demand Side Management (DSM) through optimization of home energy consumption in the smart grid environment is now one of the well-known research areas. Appliance scheduling has been done through many different algorithms to reduce peak load and, consequently, the Peak to Average Ratio (PAR). This paper presents a Comprehensive Home Energy Management Architecture (CHEMA) with integration of multiple appliance scheduling options and enhanced load categorization in a smart grid environment. The CHEMA model consists of six layers and has been modeled in Simulink with an embedded MATLAB code. A single Knapsack optimization technique is used for scheduling and four different cases of cost reduction are modeled at the second layer of CHEMA. Fault identification and electricity theft control have also been added in CHEMA. Furthermore, carbon footprint calculations have been incorporated in order to make the users aware of environmental concerns. Simulation results prove the effectiveness of the proposed model.

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“…Three main kinds of rate structures of time varying prices were posited by [22] and further posited was the fact that the diffusion of DR was still low. The effect of dynamic pricing on consumers comfort was also studied in [23] where a dynamic demand response controller (DDRC) which adjusts set-point temperature to control HVAC loads in response to varying electricity retail price published every 15 minutes was proposed. The reasons for the application of DP vary from achieving a balance in power to managing energy markets and controlling loads [19,24].…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated dynamic pricing scheme for improving the smartness of off grid distributed generation

Monyei

Chong²,

Adediran

2016

2016 IEEE Power and Energy Conference at Illinois (PECI)

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Abstract-This paper presents an integrated dynamic pricing scheme (iDPS) developed for an off grid community in sub-Sahara Africa (SSA). This proposed model employs a neighbourhood approach in effectively determining the electricity units due to connected consumers based on their monthly contributions. Assuming base values, this model obviates the need for real time inputs from the users owing to the high illiteracy level in SSA and dynamically computes electricity price in real time such that below par paying consumers pay more compared to base or above base consumers. Additionally, the smart load distribution board employed ensures that electricity units are dispatched in quantized values demanding greater energy efficiency from the consumers. This model achieves economic accrual which guarantees the sustainability of the off grid DG project.

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Dynamic Demand Response Controller Based on Real-Time Retail Price for Residential Buildings

Cited by 306 publications

References 16 publications

Retail Energy Management in Electricity Markets: Structure, Challenges and Economic Aspects- a Review

Retail Energy Management in Electricity Markets: Structure, Challenges and Economic Aspects- a Review

An Enhanced System Architecture for Optimized Demand Side Management in Smart Grid

An integrated dynamic pricing scheme for improving the smartness of off grid distributed generation

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