A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches

Deng, Ruilong; Yang, Zaiyue; Chow, Mo-Yuen; Chen, Jiming

doi:10.1109/tii.2015.2414719

Cited by 794 publications

(405 citation statements)

References 83 publications

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“…Figure 2 in [156]), but also the numerous recent survey publications on smart grids (e.g. [3,10,30,136,156] [51] and [121].…”

Section: Energy Managementmentioning

confidence: 99%

A cyber-physical systems perspective on decentralized energy management

Hoogsteen¹

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“…Figure 2 in [156]), but also the numerous recent survey publications on smart grids (e.g. [3,10,30,136,156] [51] and [121].…”

Section: Energy Managementmentioning

confidence: 99%

A cyber-physical systems perspective on decentralized energy management

Hoogsteen¹

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“…This triad is also valuable for organising research efforts shedding light into these challenges. Technological adaptation-oriented research has contributed with knowledge on the integration of electricity storage in distribution systems [37][38][39][40][41], integration of distributed generation sources from wind [42][43][44], solar [45][46][47][48][49], CHP [50][51][52], and micro-CHP [53][54][55][56], integration of EVs [57][58][59][60], integration of smart meters [61][62][63][64][65][66], implementation of DR [67][68][69][70][71], deployment of active distribution management systems [72][73][74][75][76], and advanced grid monitoring and control [77][78][79], as well as the use of artificial intelligence methods [80][81][82], and machine learning applicati...…”

Section: Electricity Distribution Adaptation To a Smarter And More Sumentioning

confidence: 99%

The challenging paradigm of interrelated energy systems towards a more sustainable future

Soares

Martins

Carvalho³

et al. 2018

Renewable and Sustainable Energy Reviews

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This paper brings together several contemporary topics in energy systems aiming to provide a literature review based reflection on how several interrelated energy systems can contribute together to a more sustainable world. Some directions are discussed, such as the improvement of the energy efficiency and environmental performance of the systems, the development of new technologies, the increase of the use of renewable energy sources, the promotion of holistic and multidisciplinary studies, and the implementation of new management rules and "eco-friendly and sustainable" oriented policies at different scales. The interrelations of the diverse energy systems are also discussed in order to address their main social-economic-environmental impacts. The subjects covered include the assessment of the electricity market and its main players (demand, supply, distribution), the evaluation of some urban systems (buildings, transportation, commuting), the analysis of the implementation of renewable energy cooperatives, the discussion of the diffusion of the electric vehicle and the importance of new bioenergy systems. This paper also presents relevant research carried out in the framework of both the Energy for Sustainability Initiative of the University of Coimbra and the Sustainable Energy Systems focus area of the MIT-Portugal Program. To conclude, several research topics that should be addressed in the near future are proposed.

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“…The total flexibility (consumption reduction) required by the DSO, which is calculated in Equation (6), is in fact an amount of energy already purchased by the aggregator in the wholesale market. Therefore, to secure the delivery of the required flexibility, the aggregator must sell that energy consumption (activated flexibility) to other market players in coming adjustment markets, which run after the day-ahead market.…”

Section: The Trading Processesmentioning

confidence: 99%

A Decentralized Local Flexibility Market Considering the Uncertainty of Demand

2018

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Abstract:The role of the distribution system operator (DSO) is evolving with the increasing possibilities of demand management and flexibility. Rather than implementing conventional approaches to mitigate network congestions, such as upgrading existing assets, demand flexibility services have been gaining much attention lately as a solution to defer the need for network reinforcements. In this paper, a framework for a decentralized local market that enables flexibility services trading at the distribution level is introduced. This market operates on two timeframes, day-ahead and real-time and it allows the DSO to procure flexibility services which can help in its congestion management process. The contribution of this work lies in considering the uncertainty of demand during the day-ahead period. As a result, we introduce a probabilistic process that supports the DSO in assessing the true need of obtaining flexibility services based on the probability of congestion occurrence in the following day of operation. Besides being able to procure firm flexibility for high probable congestions, a new option is introduced, called the right-to-use option, which enables the DSO to reserve a specific amount of flexibility, to be called upon later if necessary, for congestions that have medium probabilities of taking place. In addition, a real-time market for flexibility trading is presented, which allows the DSO to procure flexibility services for unforeseen congestions with short notice. Also, the effect of the penetration level of flexibility on the DSO's total cost is discussed and assessed. Finally, a case study is carried out for a real distribution network feeder in Spain to illustrate the impact of the proposed flexibility framework on the DSO's congestion management process.

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A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches

Cited by 794 publications

References 83 publications

A cyber-physical systems perspective on decentralized energy management

A cyber-physical systems perspective on decentralized energy management

The challenging paradigm of interrelated energy systems towards a more sustainable future

A Decentralized Local Flexibility Market Considering the Uncertainty of Demand

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