Distributional fairness of personal carbon trading

Pitkänen, Atte; Wright, Tuuli von; Kaseva, Janne; Kahiluoto, Helena

doi:10.1016/j.ecolecon.2022.107587

Cited by 12 publications

(1 citation statement)

References 65 publications

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“…With the the renewable energy and other distributed power supply in the grid utilization rate is increasing and the development of technologies such as thermoelectric symbiosis, the traditional power grid is moving towards the direction of multi-distributed energy aggregation [1][2], As the power generation of distributed energy varies in different regions and under different weather conditions, it is relatively independent,Therefore, optimization and dispatching of power grid has become one of the research hotspots at present, [3],…”

Section: Introductionmentioning

confidence: 99%

The carbon trading operation optimization for virtual power plants of industrial parks considering wind power

Tong

Meng

Qiu

et al. 2023

J. Phys.: Conf. Ser.

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Virtual power plants can participate in power market transactions by combining wind and solar power generation and energy storage technologies, They participate in energy market transactions for aggregating distributed energy and user-side resources, Meanwhile, the carbon trading market is an effective tool to control the greenhouse effect, As a market subject with unlimited potential, VPP of industrial park plays its environmental benefits by participating in the carbon trading market, It is able to promote the growth of VPP benefits and reduce carbon emissions, Firstly, this paper introduces the composition of virtual power plants and the carbon trading market, Secondly, this paper puts forward the influence of the uncertainty of wind turbines on virtual power plants, Thirdly, a virtual power plant model is build under the uncertainty of wind turbines, Finally, the operation of virtual power plants is optimized considering carbon trading, so as to maximize the benefits and explore the carbon reduction capacity of virtual power plants

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Section: Introductionmentioning

confidence: 99%