Direct Electricity Trading in Smart Grid: A Coalitional Game Analysis

Lee, Woongsup; Xiang, Lin; Schober, Robert; Wong, Vincent W. S.

doi:10.1109/jsac.2014.2332112

Cited by 192 publications

(118 citation statements)

References 24 publications

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“…There are various proposals for an electricity trading market that allows users to trade with each other or suppliers [4,5]. However, none of these addresses the privacy concerns.…”

Section: Introductionmentioning

confidence: 99%

An MPC-Based Privacy-Preserving Protocol for a Local Electricity Trading Market

Abidin

Aly

Cleemput

et al. 2016

Cryptology and Network Security

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Abstract. This paper proposes a decentralised and privacy-preserving local electricity trading market. The market employs a bidding protocol based on secure multiparty computation and allows users to trade their excess electricity among themselves. The bid selection and trading price calculation are performed in a decentralised and privacy-preserving manner. We implemented the market in C++ and tested its performance with realistic data sets. Our simulation results show that the market tasks can be performed for 2500 bids in less than four minutes in the "online" phase, showing its feasibility for a typical electricity trading period.

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“…There are various proposals for an electricity trading market that allows users to trade with each other or suppliers [4,5]. However, none of these addresses the privacy concerns.…”

Section: Introductionmentioning

confidence: 99%

An MPC-Based Privacy-Preserving Protocol for a Local Electricity Trading Market

Abidin

Aly

Cleemput

et al. 2016

Cryptology and Network Security

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“…Vytelingum et al [5] proposed a market for trading electricity between users and microgrids that is based on continuous double auction and that automatically manages the congestion within the system by pricing the flow of electricity. Lee et al [6] proposed direct trading between small-scale electricity suppliers and users without going through the traditional retailers. The trading price is determined instantaneously based on the number of participants and statistical information about electricity supply/demand.…”

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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“…Planning demand-side response has received broad attention in research, but not always with grid capacity constraints in mind [4], [5], [6]. A second aspect that is often ignored is the uncertainty with regard to available grid capacity, electricity price, and driving schedules, which is amplified by the absence of large numbers of consumers; the increased variability is more problematic if it is uncertain.…”

Section: A Related Workmentioning

confidence: 99%

Auctions for congestion management in distribution grids

Philipsen

Weerdt

Vries

2016

2016 13th International Conference on the European Energy Market (EEM)

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Abstract-Large controllable loads, such as electric vehicles, are increasingly penetrating electricity distribution feeders. To avoid local congestion, their consumption behaviour must be steered, for which a real-time price propagated down from the transmission system does not suffice, as it does not reflect local grid conditions. To efficiently steer the charging of EVs by multiple self-interested parties, we propose an auction framework which accounts for local grid conditions, the limited flexibility of EVs, and the uncertainty inherent to small-scale networks. We formulate the EV charging problem as a job scheduling problem for self-interested aggregators, and auction network capacity for discrete time slots using sequentially-cleared auctions, which run in parallel. We simulate this auction on a local network using realistic data for EV driving behaviour and network capacity, showing this method leads to feasible allocations which are fairer in case one party is weaker than the other due to size or information asymmetry.

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Direct Electricity Trading in Smart Grid: A Coalitional Game Analysis

Cited by 192 publications

References 24 publications

An MPC-Based Privacy-Preserving Protocol for a Local Electricity Trading Market

An MPC-Based Privacy-Preserving Protocol for a Local Electricity Trading Market

A local electricity trading market: Security analysis

Auctions for congestion management in distribution grids

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