A survey on energy trading in smart grid

Bayram, İslam Şafak; Shakir, Muhammad Zeeshan; Abdallah, Mohamed; Qaraqe, Khalid

doi:10.1109/globalsip.2014.7032118

Cited by 108 publications

(83 citation statements)

References 32 publications

(56 reference statements)

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“…The authors concluded that the uniform pricing increases revenues for users. Bayram et al [13] provided an overview of distributed energy trading concepts in smart grid. They also argued that the biggest motivation for users to participate in such markets is the cost savings and increased profits for users.…”

Section: B Electricity Markets Proposed In the Literaturementioning

confidence: 99%

A local electricity trading market: Security analysis

Mustafa

Cleemput

Abidin

2016

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Abstract-This paper proposes a local electricity trading market and provides a comprehensive security analysis of this market. It first presents a market for electricity trading among individual users, and describes the different entities and the interactions among them. Based on this market model and the interactions, the paper analyses security problems and potential privacy threats imposed on users, which leads to the specification of a set of security and privacy requirements. These requirements can be used to guide the future design of secure local electricity trading markets or to perform a risk assessment of such markets.

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Section: B Electricity Markets Proposed In the Literaturementioning

confidence: 99%

A local electricity trading market: Security analysis

Mustafa

Cleemput

Abidin

2016

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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“…Furthermore, Pilz et al [3] comprises recent advances based on local energy-trading scenarios. In general, the main objective of such programs is to decrease the consumption during peak times and thus reduce the costs that are associated with peak loads [4]. On the one hand, the practical implementation can be direct (i.e., through smart meters that shift high-power household appliances based on signals from the utility company).…”

Section: Introductionmentioning

confidence: 99%

Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach

2017

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Abstract:Energy storage systems will play a key role for individual users in the future smart grid. They serve two purposes: (i) handling the intermittent nature of renewable energy resources for a more reliable and efficient system; and (ii) preventing the impact of blackouts on users and allowing for more independence from the grid, while saving money through load-shifting. In this paper we investigate the latter scenario by looking at a neighbourhood of 25 households whose demand is satisfied by one utility company. Assuming the users possess lithium-ion batteries, we answer the question of how each household can make the best use of their individual storage system given a real-time pricing policy. To this end, each user is modelled as a player of a non-cooperative scheduling game. The novelty of the game lies in the advanced battery model, which incorporates charging and discharging characteristics of lithium-ion batteries. The action set for each player comprises day-ahead schedules of their respective battery usage. We analyse different user behaviour and are able to obtain a realistic and applicable understanding of the potential of these systems. As a result, we show the correlation between the efficiency of the battery and the outcome of the game.

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“…Furthermore, [3] comprises recent advances based on local energy-trading scenarios. In general, the main objective of such programs is to decrease the consumption during peak times and thus reduce the costs that are associated with peak loads [4]. On the one hand, the practical implementation can be direct (i.e., through smart meters that shift high-power household appliances based on signals from the utility company).…”

Section: Introductionmentioning

confidence: 99%

“…[5][6][7]). Both ways can lead to a reduction of the peak-to-average ratio (PAR) in load, which in turn increases the stability and power quality of the grid [4].…”

Section: Introductionmentioning

confidence: 99%

Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach

Pilz¹,

Al‐Fagih²,

Pfluegel³

2017

Preprint

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Abstract:Energy storage systems will play a key role for individual users in the future smart grid. They serve two purposes: (i) handling the intermittent nature of renewable energy resources for a more reliable and efficient system, and (ii) preventing the impact of blackouts on users and allowing for more independence from the grid, while saving money through load-shifting. In this paper we investigate the latter scenario by looking at a neighbourhood of 25 households whose demand is satisfied by one utility company. Assuming the users possess lithium-ion batteries, we answer the question of how each household can make the best use of their individual storage system given a real-time pricing policy. To this end, each user is modelled as a player of a non-cooperative scheduling game. The novelty of the game lies in the advanced battery model, which incorporates charging and discharging characteristics of lithium-ion batteries. The action set for each player comprises day-ahead schedules of their respective battery usage. We analyse different user behaviour and are able to obtain a realistic and applicable understanding of the potential of these systems. As a result, we show the correlation between the efficiency of the battery and the outcome of the game.

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A survey on energy trading in smart grid

Cited by 108 publications

References 32 publications

A local electricity trading market: Security analysis

A local electricity trading market: Security analysis

Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach

Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach

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