The Feasibility Assessment of Power System Dispatch with Carbon Tax Considerations

Lin, Whei-Min; Tu, Chia-Sheng; Lin, Sang-Jyh; Tsai, Ming-Tang

doi:10.3390/pr10112321

Cited by 2 publications

(1 citation statement)

References 25 publications

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“…To further verify the economy and low carbon emissions of the model, the environmental cost coefficient λ CO2 of CO 2 generated by the thermal power unit was 3.5, and the CO 2 emission coefficients a CO2 , b CO2, and c CO2 were 33.35, −0.6, and 0.009, respectively. The cost parameters were derived from [38][39][40], and the detailed data are presented in Appendix B, as shown in Table B1, Figures B1, and B2. And in Table 1, the threesided costs of the source network load and carbon treatment cost under different algorithms were calculated.…”

Section: Comparative Analysismentioning

confidence: 99%

Collaborative optimization strategy of source‐grid‐load‐storage considering dynamic time series complementarity of multiple storages

Huang

Liu³

2023

IET Generation Trans & Dist

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The multi‐scale flexibility coordination of multiple storages is a key technology to enhance the diversified regulation ability of the power system. This paper first considers the interaction mechanism of multi‐type storage peak regulation time sequences based on the Euclidian distance, dynamic time warping distance, and storage correlation distance. A matching index was proposed to consider the temporal correlation, overall distribution characteristics, and dynamic characteristics of the net load and energy storage. The multitype storage coordination mode, including battery storage, pumped storage, and electric vehicles, was formulated, and a collaborative optimal scheduling system architecture of source‐grid‐load‐storage (SGLS) was constructed. To attain a low‐carbon economy, a collaborative optimal scheduling model of SGLS considering the dynamic time‐series complementarity of multiple energy storage systems was constructed. The Nash equilibrium theory was used to achieve friendly interaction among the source, grid, load, and storage. Then, an improved transfer reinforcement learning algorithm for SGLS was proposed, which used reinforcement learning and transfer learning algorithms combined with K‐means clustering and dual‐structure experience pool technology. The test results of actual regional power grid data indicated that the proposed strategy can effectively reduce the economic and carbon treatment costs of the system and improve the absorption capacity of renewable energy.

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Section: Comparative Analysismentioning

confidence: 99%

Collaborative optimization strategy of source‐grid‐load‐storage considering dynamic time series complementarity of multiple storages

Huang

Liu³

2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

Optimum carbon tax rate for emission targets of electricity generation system by life cycle techno-economic-environmental optimization model

Shahbazi,

Avami,

Moeini-Aghtaie

et al. 2024

Renewable Energy

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The Feasibility Assessment of Power System Dispatch with Carbon Tax Considerations

Abstract: Traditional economic dispatch methods, which are used to minimize fuel costs, have become inadequate because they do not consider the environmental impact of emissions in the optimization process [...]

Cited by 2 publications

References 25 publications

Collaborative optimization strategy of source‐grid‐load‐storage considering dynamic time series complementarity of multiple storages

Collaborative optimization strategy of source‐grid‐load‐storage considering dynamic time series complementarity of multiple storages

Optimum carbon tax rate for emission targets of electricity generation system by life cycle techno-economic-environmental optimization model

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