Demand response for sustainable energy systems: A review, application and implementation strategy

Shariatzadeh, Farshid; Mandal, Paras; Srivastava, Anurag K.

doi:10.1016/j.rser.2015.01.062

Cited by 300 publications

(168 citation statements)

References 49 publications

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“…In order to perform a thorough study of DR for sustainable energy systems, Shariatzadeh et al [7] presented a review of DR resources which could be carried out under the SG framework, as well as made a classification of various existing DR schemes. These researches, however, only introduced the concept of a DR scheme without proposing a specific DR algorithm.…”

Section: Related Studiesmentioning

confidence: 99%

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A Price-Based Demand Response Scheme for Discrete Manufacturing in Smart Grids

2016

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Demand response (DR) is a key technique in smart grid (SG) technologies for reducing energy costs and maintaining the stability of electrical grids. Since manufacturing is one of the major consumers of electrical energy, implementing DR in factory energy management systems (FEMSs) provides an effective way to manage energy in manufacturing processes. Although previous studies have investigated DR applications in process manufacturing, they were not conducted for discrete manufacturing. In this study, the state-task network (STN) model is implemented to represent a discrete manufacturing system. On this basis, a DR scheme with a specific DR algorithm is applied to a typical discrete manufacturing-automobile manufacturing-and operational scenarios are established for the stamping process of the automobile production line. The DR scheme determines the optimal operating points for the stamping process using mixed integer linear programming (MILP). The results show that parts of the electricity demand can be shifted from peak to off-peak periods, reducing a significant overall energy costs without degrading production processes.

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Section: Related Studiesmentioning

confidence: 99%

“…Meanwhile, through employing appropriate DSM programs, energy consumers can actively participate in the electricity market via demand response (DR) which is considered as one of effective mechanisms within DSM [7], so as to…”

Section: Introductionmentioning

confidence: 99%

A Price-Based Demand Response Scheme for Discrete Manufacturing in Smart Grids

2016

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“…Moreover, system operators may apply DR programs to reduce the load temporarily in emergency grid conditions such as unit outage or unpredictable change in renewable generation [2,3]. Therefore, the main idea of DR is to encourage customers to manage their consumption patterns in a way not only to maximize their own utility, but also to support safe operation of the power system [4].…”

Section: Introductionmentioning

confidence: 99%

Study of the Effect of Time-Based Rate Demand Response Programs on Stochastic Day-Ahead Energy and Reserve Scheduling in Islanded Residential Microgrids

et al. 2017

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Abstract:In recent deregulated power systems, demand response (DR) has become one of the most cost-effective and efficient solutions for smoothing the load profile when the system is under stress. By participating in DR programs, customers are able to change their energy consumption habits in response to energy price changes and get incentives in return. In this paper, we study the effect of various time-based rate (TBR) programs on the stochastic day-ahead energy and reserve scheduling in residential islanded microgrids (MGs). An effective approach is presented to schedule both energy and reserve in presence of renewable energy resources (RESs) and electric vehicles (EVs). An economic model of responsive load is also proposed on the basis of elasticity factor to model the behavior of customers participating in various DR programs. A two-stage stochastic programming model is developed accordingly to minimize the expected cost of MG under different TBR programs. To verify the effectiveness and applicability of the proposed approach, a number of simulations are performed under different scenarios using real data; and the impact of TBR-DR actions on energy and reserve scheduling are studied and compared subsequently.

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“…The decentralized smart multi-energy systems [2,3] with demand response as locally available flexibility option [4] helps that these energy systems of future become more efficient, environmentally friendly and reliable [5]. Reliability will be more and more important as a today number of catastrophic events e.g.…”

Section: Introductionmentioning

confidence: 99%

Smart municipal energy grid within electricity market

Bjelić

Rajaković

Duić

2017

Energy

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The user has requested enhancement of the downloaded file. ABSTRACTA smart municipal energy grid including electricity and heat production infrastructure and electricity demand response has been modelled in HOMER case study with goal to decrease total community yearly energy costs. The optimal configuration and sizing, with minimal costs, have been presented and compared using scenarios. Smart municipal energy grids will have an important role in future electricity markets. Their flexibility as participants in electricity markets is increased with possibility to utilize excess electricity production from CHP and variable renewable energy sources through heat storage. The costs and technical, economical and environmental benefits of smart municipal energy grids will be discussed followed with conclusion.

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Demand response for sustainable energy systems: A review, application and implementation strategy

Cited by 300 publications

References 49 publications

A Price-Based Demand Response Scheme for Discrete Manufacturing in Smart Grids

A Price-Based Demand Response Scheme for Discrete Manufacturing in Smart Grids

Study of the Effect of Time-Based Rate Demand Response Programs on Stochastic Day-Ahead Energy and Reserve Scheduling in Islanded Residential Microgrids

Smart municipal energy grid within electricity market

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