Power Management of Intelligent Buildings Facilitated by Smart Grid: A Market Approach

Lã, Quang Duy; Chan, Yiu Wing Edwin; Soong, Boon‐Hee

doi:10.1109/tsg.2015.2477852

Cited by 45 publications

(17 citation statements)

References 28 publications

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“…Following this, various game-theory-based DR models were reported in the literature [16][17][18]. La et al [19] presented a market-based mathematical algorithm for power management between intelligent buildings. This is the background of DSM and DR implementations under the peer-to-grid (P2G) paradigm.…”

Section: Background and Motivationmentioning

confidence: 99%

Framework of locality electricity trading system for profitable peer‐to‐peer power transaction in locality electricity market

2020

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This paper proposes an architecture of locality electricity market (LEM) for peer-to-peer (P2P) energy trading among a group of residential prosumers (consumers and producers) with renewable energy resources, smart meters, information and communication technologies, and home energy management systems in a smart residential locality. Prosumers may sell(buy) their excess generation(demand) in LEM at a profitable prices compared to the utility prices in P2P fashion. In order to manage the trading in LEM, a common portal named as locality electricity trading system (LETS) is introduced. The purpose of LETS is to prepare a trading agreement between the participants by fixing a price for every deal based on the quoted price and dayahead power trading schedule given by the participants. An enhanced intelligent residential energy management system (EIREMS) is proposed at the prosumers' premises to enable their participation in the day-ahead energy trading process and in real-time scheduling of schedulable loads and battery for reducing the electricity bill with due consideration to the operational constraints and LETS agreement. The performances of proposed LETS and EIREMS are validated through a few case studies on a locality with ten prosumers. The proposed methodology endorses marginal economic benefit for all the participants.

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Section: Background and Motivationmentioning

confidence: 99%

Framework of locality electricity trading system for profitable peer‐to‐peer power transaction in locality electricity market

2020

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“…Fig. 3 shows how such behavior pair, according to (1)- (10) and 13- (17), is randomly generated. Depending on the prosumer's status (i.e., buyer, seller, or silent), satisfaction index SI k i (t) ∈ (0, 2] is a measure, which shows to which extent BP k i (t) uses the available flexibility and provides a more beneficial price offer [8], [12].…”

Section: Nsga-iii: An Evolutionary Multi-objectivementioning

confidence: 99%

A Non-Cooperative Framework for Coordinating a Neighborhood of Distributed Prosumers

Azar

Nazaripouya

Khaki

et al. 2019

IEEE Trans. Ind. Inf.

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“…Although at present, the home automation sector is in a complicated situation. It is promoting the instillation of control and automation systems in the home aimed at increasing energy efficiency, reducing energy losses, generated energy integration and accessibility to people with disabilities [47]. Currently, the number of agents involved in the electricity system has increased due to the liberalization of the energy market.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Effectiveness and Comparison of Digital Substations Over Conventional Substations

Waleed¹,

Virk²,

Riaz³

et al. 2019

Adv. sci. technol. eng. syst. j.

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The entire electrical system is changing at an abrupt speed since its beginning. With the rapid advance of renewable energies (which are constantly subject to fluctuations), the electricity generation is distributed to countless locations. The traditional model of the unidirectional flow of electricity is leaning towards multidirectional flows. This situation needs significant changes in the transport infrastructure of the electrical power system and mode of operation. Technological advancements are making a smarter and more organized management system of electricity supply and demand. This development needs to incorporate modern communication, monitoring, and control capabilities, along with the intelligent transport, generation, and storage value chain. Digital substations integrate thousands of sensors by providing greater comfort, self-reliance, availability, and safety while at the same time reducing costs, risks, and environmental damage. Conventional power system lacks digital communication, remote monitoring & control, and consumer participation. Fiber-optic cabling in digital substations will attain not only real-time data transmission but also remote maintenance. The comparison between conventional and digital substations has also been presented in this work along with latest trends in smart protection. Electronic protection and control devices based on a microprocessor, communicating with cloud servers, will enhance the flexibility to control and monitor the digital substations. A significant amount of data generated by components in the electrical substations will allow greater sophistication of the monitoring, diagnostic, protection and optimization capabilities of the facilities. The goal for the review of said advancements is to have a smart electrical system with greater efficiency and better user experience.

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Power Management of Intelligent Buildings Facilitated by Smart Grid: A Market Approach

Cited by 45 publications

References 28 publications

Framework of locality electricity trading system for profitable peer‐to‐peer power transaction in locality electricity market

Framework of locality electricity trading system for profitable peer‐to‐peer power transaction in locality electricity market

A Non-Cooperative Framework for Coordinating a Neighborhood of Distributed Prosumers

Effectiveness and Comparison of Digital Substations Over Conventional Substations

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