A Decision-Making Auction Algorithm for Demand Response in Microgrids

Chang, Chih-Lun; Peng, Jimmy Chih-Hsien

doi:10.1109/tsg.2016.2634583

Cited by 11 publications

(5 citation statements)

References 24 publications

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“…The grid controller may also act as an auctioneer. Energy trading has been analyzed and discussed descriptively in [80], considering only green energy. Some trading models focus on energy management in microgrids [81].…”

Section: A Social Benefit In Microgridsmentioning

confidence: 99%

Microgrids in Competitive Market Environment: An Indian Perspective

Kaur

Prashar

2023

AJES

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Microgrids are believed to be the befitting green solution to the ever-rising energy crisis in the developing nations. The resource rich nations are rapidly shifting their dependence on microgrids to meet the reduced carbon footprint target at a global level. This paper addresses this issue and presents a detailed technical review on microgrid integration in competitive electricity market scenario. An in-depth coverage of the need for and importance of microgrid deployments across India is presented in this work. The relevant literature that highlights the significance of various energy storage systems is reviewed. The authors present the perspective of microgrid integration in a competitive market scenario covering both day ahead and real time market scenarios thereby discussing the concept of maximizing social benefit in a grid integrated microgrid framework. This work also focuses on microgrid optimization techniques and outlines a detailed comparison showing merits and demerits of all the techniques implemented by the researchers so far. The authors highlight the fact that green energy holds the potential to not only outgrow the fossil fuels but it shall do so by fetching the requisite economic benefit to the investors as well.

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Section: A Social Benefit In Microgridsmentioning

confidence: 99%

Microgrids in Competitive Market Environment: An Indian Perspective

Kaur

Prashar

2023

AJES

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“…A modified Vickrey auction mechanism is deployed in [15] for the energy management in various common spaces within a microgrid where some portions of the distributed energy storage devices are acquired to meet the demand. Different auction mechanisms are analysed for different pricing structures in [16,17], optimal bidding in [18,19], distributed solutions in [20,21], and market efficiency in [22,23]. However, these approaches do not cover the energy trading among different apartments which are supplied by a community microgrid where both sellers and buyers bid to win the auction.…”

Section: Introductionmentioning

confidence: 99%

Transactive energy coordination mechanism for community microgrids supplying multi‐dwelling residential apartments

Akter

Mahmud

Haque

et al. 2020

IET Generation, Transmission & Distribution

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“…A new robust solution using occupancy-based DR is presented in [24] under thermal comfort requirements with the energy storage and renewable energy sources. In [25], a new decisionmaking approach of DR for an energy consumer called "auction decision procedure" is proposed to help satisfy the DR in a decentralized manner. In [26], some packages of price strategy are offered for the implementation of DR to minimize operating costs and emissions considering uncertainties of wind and solar powers.…”

Section: Introductionmentioning

confidence: 99%

Demand Response Modeling in Microgrid Operation: a Review and Application for Incentive-Based and Time-Based Programs

Imani

Ghadi

Ghavidel

et al. 2018

Renewable and Sustainable Energy Reviews

120

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During recent years, with the advent of restructuring in power systems as well as the increase of electricity demand and global fuel energy prices, challenges related to implementing demand response programs (DRPs) have gained remarkable attention of independent system operators (ISOs) and customers, aiming at the improvement of attributes of the load curve and reduction of energy consumption as well as benefiting customers. In this paper, different types of DRPs are modeled based on price elasticity of the demand and the concept of customer benefit. Besides, the impact of implementing DRPs on the operation of grid-connected microgrid (MG) is analyzed. Moreover, several scenarios are presented in order to model uncertainties interfering MG operations including failure of generation units and random outages of transmission lines and upstream line, error in load demand forecasting, uncertainty in production of renewable energies (wind and solar) based distributed generation units, and the possibility that customers do not respond to scheduled interruptions. Simulations are conducted for two principal categories of DRP including incentive-based programs and timebased programs on an 11-bus MG over a 24-hour period and also a 14-bus MG over a period of 336 hours (two weeks). Simulation results indicate the effects of DRPs on total operation costs, customer's benefit, and load curve as well as determining optimal use of energy resources in the MG operation. In this regard, prioritizing of DRPs on the MG operation is required.

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A Decision-Making Auction Algorithm for Demand Response in Microgrids

Cited by 11 publications

References 24 publications

Microgrids in Competitive Market Environment: An Indian Perspective

Microgrids in Competitive Market Environment: An Indian Perspective

Transactive energy coordination mechanism for community microgrids supplying multi‐dwelling residential apartments

Demand Response Modeling in Microgrid Operation: a Review and Application for Incentive-Based and Time-Based Programs

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