Low-carbon optimal learning scheduling of the power system based on carbon capture system and carbon emission flow theory

Li, Jifeng; He, Xingtang; Li, Weidong; Zhang, Mingze; Wu, Jun

doi:10.1016/j.epsr.2023.109215

Cited by 23 publications

(15 citation statements)

References 29 publications

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“…Reference [7] introduces a two-stage lowcarbon scheduling model for a power system that uses carbon price as a pricing signal for demand response and achieves wind power consumption and carbon emission responsibility sharing among loads. Reference [8] considers that the essential characteristic of a power system is that the load side dominates the supply side. It proposes a new mechanism called the Low-Carbon Demand Response Mechanism to guide users into taking proactive measures to reduce carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

“…It establishes a low-carbon optimization operation model for a distribution system. In summary, while the theory of carbon emission flow has been widely applied in low-carbon development in the power sector, previous studies [1][2][3][4][5][6][7][8][9][10][11][12][13] have not considered the full life-cycle carbon costs on the unit side, indicating a need for further improvements. This paper considers the full life-cycle carbon costs of generating units and utilizes electricity load data to establish a city-level electricity-to-carbon traceability model based on the theory of carbon emission flow in the power system.…”

Section: Introductionmentioning

confidence: 99%

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A method to calculate the power-carbon emissions flow with the consideration of the full life-cycle carbon cost

Ye,

Zhang,

Huang

et al. 2024

Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023)

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The proposed "double carbon" target by the Chinese government underscores the importance of reducing carbon emissions in the power industry. The power industry, whose carbon emission accounts for about 43.1% of the overall energy-related carbon emissions, is one of the Chinese largest carbon-emitting industries. Calculating the carbon emissions flow in power systems helps to better reduce the use of conventional fossil fuel and complete the "double carbon" target. This paper first analyzes the full life-cycle carbon cost from the device perspective, thus setting a boundary for carbon accounting. Then the calculation method of power-carbon emissions flow is developed. Finally, the performance of the proposed method is evaluated based on the Lishui City power system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A method to calculate the power-carbon emissions flow with the consideration of the full life-cycle carbon cost

Ye,

Zhang,

Huang

et al. 2024

Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023)

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show abstract

“…With the transformation of global energy structure of renewable energy, distributed power system has the advantages of high efficiency, environmental protection and flexibility, it can ensure energy security and promoting sustainable energy development. However, the wide access of power supply and large-scale power flow transfer have brought new challenges to the power system [1]. First of all, the access and integration of distributed energy resources increase the complexity of the system, which requires reasonable planning and optimal configuration of various components and resources in the system.…”

Section: Introductionmentioning

confidence: 99%

Optimal configuration and power scheduling algorithm of distributed power system with large range power flow transfer

Chen,

Tian,

Yang

et al. 2024

J. Phys.: Conf. Ser.

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The distributed power system is composed of multiple distributed energy sources, loads and energy storage devices, which have the characteristics of decentralization and complexity. Therefore, a distributed power system optimal allocation and power dispatching algorithm considering large-scale power flow transfer is proposed. Calculate the power flow values of different nodes, and construct an optimization model according to the results to complete power flow transmission. In the inner loop, the current dispatching is set as the objective, and in the outer loop, the voltage dispatching is set as the objective. Distributed power system scheduling is completed by double closed-loop vectors. The experimental results show that the power oscillation amplitude of this method is small and the duration is short.

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“…The distribution and use of carbon flow are obtained in more detail by analyzing the notion of panel point carbon notion with notion strength. Literature [13][14][15] uses the carbon flow analysis method to establish a carbon flow model and analyze the distribution of carbon footprint on each branch.…”

Section: Introductionmentioning

confidence: 99%

Research on the low-carbon dispatching method of a distribution system based on carbon emission flow theory

Lv,

Ji,

Wang

et al. 2023

J. Phys.: Conf. Ser.

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The concept of carbon stream emissions analysis of energy networks has brought a new research direction for low-carbon power. It is an urgent problem to solve the distribution of carbon stream emissions in the energy network accurately and systematically according to the results of power flow calculation. Using the carbon stream emissions theory, the distribution network system’s carbon stream emissions flow is studied in terms of its distribution law and calculation features. The similarities and differences with power flow calculation are compared further. The carbon stream emissions analysis model is established. On this basis, the energy network flow carbon stream emissions of the energy network are optimized using particle swarm optimization algorithm with the lowest carbon emission of the distribution network as the optimization target function with the reactive power compensator as the execution unit and verified by the IEEE33-bus system. The model suggested can offer useful guidance and reference for setting up the optimal low-carbon operation method for the distribution network.

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Low-carbon optimal learning scheduling of the power system based on carbon capture system and carbon emission flow theory

Cited by 23 publications

References 29 publications

A method to calculate the power-carbon emissions flow with the consideration of the full life-cycle carbon cost

A method to calculate the power-carbon emissions flow with the consideration of the full life-cycle carbon cost

Optimal configuration and power scheduling algorithm of distributed power system with large range power flow transfer

Research on the low-carbon dispatching method of a distribution system based on carbon emission flow theory

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