Auction-based approach with improved disjunctive graph model for job shop scheduling problem with parallel batch processing

Zeng, Chengkuan; Qi, Guiqing; Liu, Zixuan; Tang, Jiafu; Fan, Zhi‐Ping; Yan, Chongjun

doi:10.1016/j.engappai.2022.104735

Cited by 11 publications

(2 citation statements)

References 44 publications

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“…In this process, the electricity price is determined based on the prices offered by each supplier. [8], [9] B. Pay-As-Clear (PAC)…”

Section: Methods and Programmentioning

confidence: 99%

The importance of classification in reducing the congestion price in peerto-peer energy trading

Hanari,

Baysal

2023

ICCAR

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Peer-to-peer energy trading is a model in which energy can be exchanged directly betweenenergy producers and consumers. This model offers an innovative approach to energy markets. Intraditional energy trading models, energy producers collect energy at a single point and then distribute it toconsumption points. However, with peer-to-peer energy trading, energy producers can offer energy directlyto consumers, thus reducing the costs of intermediaries and distribution networks. [1], [12]The importance of the peer-to-peer energy trading model comes from several aspects: Energy Efficiency,Renewable Energy Incentives, Flexibility and Reliability etc.Peer-to-peer energy trading allows the energy system to become more decentralized and more sustainable.However, an appropriate classification and regulation is necessary for peer-to-peer energy trading to workeffectively. [2]The most important of these classifications is the distance category. Distance and peer-to-peer energytrading offers a new paradigm for efficient and sustainable energy distribution. Compared to traditionalenergy distribution models, this new approach allows energy consumers to exchange energy amongthemselves. This aims to provide a more flexible, efficient, and environmentally friendly energydistribution. [3], [13]In this study, I made simulations to see how the distance could have an effect on the energy trade betweenpeers, and as a result of the simulations, the distance and arrangement of consumers from each other wasexamined. As a result, the regulation of consumers has proven to have an effect on trade, and theclassification of consumers shows that it has a large effect on lowering the congestion price.

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“…In this process, the electricity price is determined based on the prices offered by each supplier. [8], [9] B. Pay-As-Clear (PAC)…”

Section: Methods and Programmentioning

confidence: 99%

The importance of classification in reducing the congestion price in peerto-peer energy trading

Hanari,

Baysal

2023

ICCAR

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“…To achieve a balance between supply and demand within the market, the system aggregates electricity consumption demands, and price offers. Consequently, the final electricity price is calculated based on the pricing proposals submitted by each supplier [8], [9].…”

Section: A Pay-as-bid (Pab)mentioning

confidence: 99%

The Effect Of The Number of Units On Peer-to-Peer Energy Trading

2023

International Conference on Innovative Academic Studies

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In recent years, there has been a significant and rapid expansion in the energy sector. Renewable energy sources have made substantial inroads into the electricity grid, resulting in their substantial contribution to the overall energy mix. This shift towards renewables has introduced new complexities into energy estimation and trading, particularly in the electrical energy market, where the reliance on meteorological conditions is significant. Developing effective energy trading strategies has become paramount to ensuring the efficient functioning of smart grids, as they play a crucial role in alleviating system stress. Nevertheless, the burgeoning number of smart grid users has presented substantial challenges for maintaining stability and efficiency in energy trading operations [1], [12]. Furthermore, amidst the escalating global energy crisis, which has been linked to geopolitical conflicts and the dominance of powerful nations in fossil fuel reserves, many countries are pivoting towards clean and sustainable energy sources, accompanied by the implementation of new legal frameworks. One such legal development pertains to commercial laws in the electrical energy sector [2]. This study, centered on the electricity trading landscape, conducted a comparative analysis within the Emir community. It was observed that the number of households on the consumer side has a significant impact on cost escalation. To mitigate this rising cost trend, it becomes imperative to enact legislation that delineates construction criteria to be adhered to by communities [3], [13]. In this study, the introductory section highlights the importance of electricity trading, followed by an examination of peer-to-peer energy trading. The research investigates how the quantity of residential units affects trade dynamics and resulting profitability. The concluding segment of the study presents the findings and provides recommendations for future directions [4].

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Multi-objective optimal scheduling of automated construction equipment using non-dominated sorting genetic algorithm (NSGA-III)

Liu

You

Jiang

et al. 2022

Automation in Construction

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Auction-based approach with improved disjunctive graph model for job shop scheduling problem with parallel batch processing

Cited by 11 publications

References 44 publications

The importance of classification in reducing the congestion price in peerto-peer energy trading

The importance of classification in reducing the congestion price in peerto-peer energy trading

The Effect Of The Number of Units On Peer-to-Peer Energy Trading

Multi-objective optimal scheduling of automated construction equipment using non-dominated sorting genetic algorithm (NSGA-III)

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