Cost compensation method for PEVs participating in dynamic economic dispatch based on carbon trading mechanism

Nie, Qingyun; Zhang, Lihui; Tong, Zihao; Dai, Guyu; Chai, Jianxue

doi:10.1016/j.energy.2021.121704

Cited by 34 publications

(13 citation statements)

References 47 publications

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“…The researchers in [70] came up with a hybrid optimization scheme, namely GSA-PSO, in order to improve the global search performance. Additionally, some recent works have presented the state-of-the-art ways to solve the hard optimal energy dispatch problem while taking PEVs into consideration [71]- [74].…”

Section: B Related Workmentioning

confidence: 99%

A Dynamic Optimal Scheduling Strategy for Multi-Charging Scenarios of Plug-in-Electric Vehicles Over a Smart Grid

et al. 2023

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Green transportation has become our top priority due to the depletion of the earth's natural resources and rising pollutant emission levels. Plug-in electric vehicles (PEVs) are seen as a solution to the problem because they are more cost and environment friendly. Due to rapid industrialization and government incentives for zero-emission transportation, a significant challenge is also constituted in power grids by the self-interested nature of PEVs, with the asymmetry of information between the charging power demand and supply sides. In this paper, we propose an optimal strategy in industrial energy management system, based on evolutionary computing, to characterize different charging situations. The proposed approach considers stochastic, off-peak, peak, and electric power research institute charging scenarios for attaining the vehicleto-grid capacity in terms of optimal cost and demand. An extensive scheduling of charging cases is studied in order to avoid power outages or scenarios in which there is a significant supply-demand mismatch. Furthermore, the proposed scheme model also reduces the greenhouse gases emission from generation side to build a sustainable generation infrastructure, which maximizes the utility of fuel-based energy production in the presence of certain nonlinear constraints. The simulation analysis demonstrates that PEVs can be charged and discharged in a systematic manner. The participation of transferable load through the proposed methodology can significantly reduce the economic costs, pollutant impacts, efficiency, and security of power grid operation.INDEX TERMS Energy emission dispatch (EED), industrial energy management system (IEMS), plugin electric vehicle (PEV), plug-in electric vehicle charging coordination (PEVCC), vehicle-to-grid (V2G), valve-point loading effect (VLE)

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Section: B Related Workmentioning

confidence: 99%

A Dynamic Optimal Scheduling Strategy for Multi-Charging Scenarios of Plug-in-Electric Vehicles Over a Smart Grid

et al. 2023

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“…Many researchers, e.g., [7][8][9][10], have investigated electricity or carbon trading between entities. In [7], a Nash-bargaining-based electricity interaction method is proposed for interconnected microgrids, and the alternating direction method of multipliers (ADMM) method is used to solve Nash bargaining problems in a distributed manner.…”

Section: Introductionmentioning

confidence: 99%

A Local Electricity and Carbon Trading Method for Multi-Energy Microgrids Considering Cross-Chain Interaction

Zhong

Liu

Xie

et al. 2022

Sensors

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The objective of this paper is to propose a local electricity and carbon trading method for interconnected multi-energy microgrids. A local electricity market and a local carbon market are established, allowing microgrids to trade electricity and carbon allowance within the microgrid network. Specifically, excessive electricity and carbon allowance of a microgrid can be shared with other microgrids that require them. A local electricity trading problem and a local carbon trading problem are formulated for multi-energy microgrids using the Nash bargaining theory. Each Nash bargaining problem can be decomposed into two subproblems, including an energy/carbon scheduling problem and a payment bargaining problem. By solving the subproblems of the Nash bargaining problems, the traded amounts of electricity/carbon allowance between microgrids and the corresponding payments will be determined. In addition, to enable secure information interactions and trading payments, we introduce an electricity blockchain and a carbon blockchain to record the trading data for microgrids. The novelty of the usage of the blockchain technology lies in using a notary mechanism-based cross-chain interaction method to achieve value transfer between blockchains. The simulation results show that the proposed local electricity and carbon trading method has great performance in lowering total payments and carbon emissions for microgrids.

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“…Other forms of compensations to EV owners for services provision are those related to battery degradation. For instance, a compensation mechanism based on carbon trading is proposed in [15] to reduce battery degradation costs.…”

Section: Introductionmentioning

confidence: 99%

A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions

Giraldo¹,

Arias²,

Duque³

et al. 2022

Preprint

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Compensation mechanisms are used to counterbalance the discomfort suffered by users due to quality service issues. Such mechanisms are currently used for different purposes in the electrical power and energy sector, e.g., power quality and reliability. This paper proposes a compensation mechanism using EV flexibility management of a set of charging sessions managed by a charging point operator (CPO). Users' preferences and bilateral agreements with the CPO are modelled via discrete utility functions for the energy not served. A mathematical proof of the proposed compensation mechanism is given and applied to a test scenario using historical data from an office building with a parking lot in the Netherlands. Synthetic data for 400 charging sessions was generated using multivariate elliptical copulas to capture the complex dependency structures in EV charging data. Numerical results validate the usefulness of the proposed compensation mechanism as an attractive measure both for the CPO and the users in case of energy not served.

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Cost compensation method for PEVs participating in dynamic economic dispatch based on carbon trading mechanism

Cited by 34 publications

References 47 publications

A Dynamic Optimal Scheduling Strategy for Multi-Charging Scenarios of Plug-in-Electric Vehicles Over a Smart Grid

A Dynamic Optimal Scheduling Strategy for Multi-Charging Scenarios of Plug-in-Electric Vehicles Over a Smart Grid

A Local Electricity and Carbon Trading Method for Multi-Energy Microgrids Considering Cross-Chain Interaction

A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions

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