Participation of electric vehicles in auxiliary service market to promote renewable energy power consumption: Case study on deep peak load regulation of auxiliary thermal power by electric vehicles

Yang, Xiaolong; Niu, Dongxiao; Sun, Lijie; Wang, Keke; De, Gejirifu

doi:10.1002/ese3.907

Cited by 13 publications

(5 citation statements)

References 24 publications

(10 reference statements)

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“…9 The above studies mostly focus on FRP provision on the supply side. In, 10 electric vehicles are qualified to participate in the auxiliary service market. Furthermore, a real-time dispatching model considering the electric vehicles providing FRP is established in, 11 laying the basis for the demand side to serve as the FRP provider.…”

Section: Literature Review and Research Gapsmentioning

confidence: 99%

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Joint energy and flexiramp market equilibrium model for regional‐integrated electricity‐heat systems considering flexibility exploitation of district heating networks

Wang

Chen

et al. 2021

Energy Science & Engineering

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As an impetus for worldwide social development, energy resources, especially renewable energy resources, are being valued over the past decades. 1,2 Meanwhile, the influence imposed by the fluctuation and uncertainty 3 of the increasing renewable energy integrated into the power system is non-negligible. Especially in power distribution networks (PDNs), the blossom of distributed renewable energy technology places higher requirements

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Section: Literature Review and Research Gapsmentioning

confidence: 99%

“…The net load uncertainty is estimated according to the forecasted probability distribution in. 10 The FRP requirement is obtained through estimated net load fluctuation and uncertainty. There are 96 bidding intervals in the joint market within a day.…”

Section: Biddingsmentioning

confidence: 99%

Joint energy and flexiramp market equilibrium model for regional‐integrated electricity‐heat systems considering flexibility exploitation of district heating networks

Wang

Chen

et al. 2021

Energy Science & Engineering

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“…Guili et al (2021) considered the multiple uncertainties of virtual power plants participating in deep peak regulation bidding and established a two-stage optimal scheduling model for virtual power plants to maximize their own benefits. Yang et al (2021) built a virtual power plant for electric vehicles and built an operational decision model for the virtual power plant to assist thermal power plants with deep peak regulation. Guo et al (2021) clarified the structure and market transaction mechanism of the electrothermal coupling virtual power plant and proposed an optimal scheduling method for the electrothermal coupling virtual power plant to participate in market transactions.…”

Section: Introductionmentioning

confidence: 99%

“…2) We proposed an intra-day dispatch strategy for the virtual and thermal power plant combined peak regulation. It is considered that the virtual power plant has a fast peak regulation capability based on the work of Yang et al (2021). With this strategy, the thermal power plant does not need to perform deep peak regulation.…”

Section: Introductionmentioning

confidence: 99%

Optimal Peak Regulation Strategy of Virtual and Thermal Power Plants

Chen

Yang

et al. 2022

Front. Energy Res.

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To achieve the national carbon-peak and carbon-neutral strategic development goals, it is necessary to build power systems dominated by renewable and sustainable energy. The future power system with a high proportion of renewable and sustainable energy is required to have large-scale, low-cost, flexible, and adjustable resources. To this end, this article aggregates user-side distributed energy storage and electric vehicles into a virtual power plant, considering the uncertainty of wind power fluctuations and the uncertainty of electric vehicle charging and discharging to establish a day-ahead and intra-day peak regulation model for combined peak regulation of virtual and thermal power plants. The bounding algorithm seeks the optimal strategy for the two-stage model of joint peak regulation and obtains the day-ahead and intra-day two-stage optimal peak regulation strategy. The simulation example shows that the virtual power plant and its day-ahead and intra-day optimal peak regulation strategy can reduce the peak regulation cost of the power system, as compared with the deep peak regulation of thermal power plants with a special supporting energy storage power station. This work provides a global perspective for virtual power plants to participate in the formulation of power system peak regulation rules.

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“…10 Currently, the number of electric vehicles is increasing year by year. 11 While electric cars are idle, 95% of the time according to the statistics of the State Grid Corporation. Regarding the idle electric vehicle as an energy storage unit and guiding it to participate in the auxiliary services of the power system can give full play to the role of electric vehicle power batteries, which can improve the stability of the grid and profit car owners.…”

Section: Introductionmentioning

confidence: 99%

Research on electric vehicle‐supercapacitor hybrid system participates in the application of tracking PV project output

Song

Zhou

Zhang

et al. 2021

Energy Science & Engineering

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With the increase in new energy power generation and the continuous augment in the penetration rate of electric vehicles, it is of crucial importance to use electric vehicles as energy storage devices to promote the consumption of new energy. Aiming at the uncertainty of electric vehicles, this paper proposes a method based on multiobjective optimization for electric vehicle-supercapacitor hybrid energy storage system to track PV project output. The hybrid system consists of electric vehicles and supercapacitor. Electric vehicles and supercapacitors supplement the deviation of PV actual power and predicted power by charging and discharging. The electric vehicle is regarded as a nonspecific way to label a piece of equipment that can store energy. First and foremost, on the basis of traditional method of predicting PV output, a PSO-BP prediction method based on PCA is proposed to improve the accuracy of PV output prediction. Secondarily, according to the different characteristics of electric vehicles and supercapacitors, the empirical mode decomposition (EMD) method is used to decompose the deviation that the hybrid energy storage system needs to bear with the purpose of initially allocating the energy. Furthermore, a multiobjective optimization model is established for the precise energy distribution of the hybrid energy storage system, and the NSGA-III algorithm is used to solve it. Ultimately, the data of a domestic PV power station are used for simulation. After optimized control, the result shows that the standard deviation of the system output is reduced from 1967 to 75.77. The research in this article provides a theoretical basis for the application of electric vehicle virtual energy storage technology in the field of auxiliary new energy grid connection.

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Participation of electric vehicles in auxiliary service market to promote renewable energy power consumption: Case study on deep peak load regulation of auxiliary thermal power by electric vehicles

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 13 publications

References 24 publications

Joint energy and flexiramp market equilibrium model for regional‐integrated electricity‐heat systems considering flexibility exploitation of district heating networks

Joint energy and flexiramp market equilibrium model for regional‐integrated electricity‐heat systems considering flexibility exploitation of district heating networks

Optimal Peak Regulation Strategy of Virtual and Thermal Power Plants

Research on electric vehicle‐supercapacitor hybrid system participates in the application of tracking PV project output

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