A novel approach to multi energy system operation in response to DR programs; an application to incentive-based and time-based schemes

Aghamohamadi, Mehrdad; Hajiabadi, Mohammad Ebrahim; Samadi, Mahdi

doi:10.1016/j.energy.2018.05.034

Cited by 41 publications

(15 citation statements)

References 18 publications

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“…DR programs can be classified by financial schemes. DR aggregators can remunerate DR events to end-users with Incentive Based Programs (IBP) or Price Based Programs (PBP) (Aghamohamadi et al 2018;Albadi and El-Saadany 2008). The difference between PBP and IBP is that in the latter one, end users get a financial benefit or a price reduction due to their affiliation to the scheme.…”

Section: Dr Objective and Programsmentioning

confidence: 99%

“…On the other side, operators such as TSOs can increase the efficiency of the market, reducing the volatility and the use of peak generators (Albadi and El-Saadany 2008). Moreover, from a broad market perspective, DR programs can reduce the electricity price increasing the capacity of the system (Aghamohamadi et al 2018;Braithwait and Eakin 2002). Such benefits also defer grid reinforcement, reducing the running costs and improving the market efficiency (Paterakis et al 2017;Qdr 2006).…”

Section: Summary Of Dr Benefitsmentioning

confidence: 99%

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<p>Preface</p>

Constable¹

2022

Transitioning to Affordable and Clean Energy

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was born in Edinburgh but grew up in Hastings. He studied chemistry at Oxford, where he gained a B.A. and D.Phil. He moved to the University of Cambridge before being appointed to a University Lectureship and Fellowship of Robinson College in 1984. He remained at Cambridge until 1993 when he was appointed Professor of Inorganic Chemistry at the University of Basel. In 2000 he took up a position as Professor of Chemistry at the University of Birmingham (England) where he was appointed Head of School. He returned to the University of Basel as Professor of Chemistry in 2002. He publishes in all areas of chemistry with over 650 peer-reviewed publications and is highly cited (22,000 citations, h-index 74). His interests cover all aspects of chemistry, chemical history and the communication of science. He is Editor-in-Chief for a new open access journal Chemistry. He has held an ERC Advanced Grant and has been Research Dean and Vice-President of the University of Basel. He is currently Chairman of the Swiss Academies Expert Group on Research Integrity and President of Euresearch.When he is not being a chemist, he is to be found chasing insects and pursuing his love of photography.

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Section: Dr Objective and Programsmentioning

confidence: 99%

Section: Summary Of Dr Benefitsmentioning

confidence: 99%

<p>Preface</p>

Constable¹

2022

Transitioning to Affordable and Clean Energy

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“…At generation level, DR programs can be a more e cient and cost-e↵ective way to manage peak load periods, limiting the use of expensive peak generators [14,20]. This could produce an overall reduction of the carbon footprint of the power grid and lead to a reduction of electricity price [21,22]. DR programs also enhance the reliability of the power grid due to the dynamic demand curtailment, reducing the risk of outages and transmission strains.…”

Section: Benefits From Dr Programsmentioning

confidence: 99%

“…DR programs are classified in di↵erent categories which are usually based on an underlying financial scheme. In fact, DR events are remunerated to the end user by the TSO or DR aggregators based on Price Base Program (PBP) or Incentive Base Program (IBP) [21,33]. In the IBP, end users receive a credit or a bill discount because of their participation in the program.…”

Section: Classification and Schemesmentioning

confidence: 99%

On the assessment and control optimisation of demand response programs in residential buildings

Pallonetto

Роса

D’Ettorre

2020

Renewable and Sustainable Energy Reviews

113

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“…Because of the successful implementation of DR in the power system, some farsighted scholars introduced it into an MECS to study their interaction. Three scenarios were conducted-PBDR programs (TOU, CPP, and TOU and CPP), IBDR programs (EDRP and CAP) and a combination between the PBDR and IBDR programs (TOU and CAP)-to simultaneously minimize EH operation cost and maximize customer benefit, according to [27]. In [28], an RTP model was developed that was calculated by the predicted electricity demand and TOU pricing, and it was implemented in a micro energy grid which was described by the EH concept.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program

Huang

Ding

et al. 2019

Energies

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An MECS (multiple energy carrier system) could meet diverse energy needs owing to the integration of different energy carriers, while the distinction of quality of different energy resources should be taken into account during the operation stage, in addition the economic principle. Hence, in this paper, the concept of exergy is adopted to evaluate each energy carrier, and an economic–exergetic optimal scheduling model is formulated into a mixed integer linear programming (MILP) problem with the implementation of a real-time pricing (RTP)-based demand response (DR) program. Moreover, a multi-objective (MO) operation strategy is applied to this scheduling model, which is divided into two parts. First, the ε-constraint method is employed to cope with the MILP problem to obtain the Pareto front by using the state-of-the-art CPLEX solver under the General Algebraic Modeling System (GAMS) environment. Then, a preferred solution selection strategy is introduced to make a trade-off between the economic and exergetic objectives. A test system is investigated on a typical summer day, and the optimal dispatch results are compared to validate the effectiveness of the proposed model and MO operation strategy with and without DR. It is concluded that the MECS operator could more rationally allocate different energy carriers and decrease energy cost and exergy input simultaneously with the consideration of the DR scheme.

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A novel approach to multi energy system operation in response to DR programs; an application to incentive-based and time-based schemes

Cited by 41 publications

References 18 publications

<p>Preface</p>

<p>Preface</p>

On the assessment and control optimisation of demand response programs in residential buildings

Optimal Operation for Economic and Exergetic Objectives of a Multiple Energy Carrier System Considering Demand Response Program

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