A hierarchical and partition low-carbon evaluation model for active power distribution grid

Tian, Danyu; Li, Yong; Cai, Ye; Jianbo, Xin; Fan, Ruixiang

doi:10.1109/eeeic.2015.7165384

Cited by 2 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nowadays, research on low-carbon benefit assessments is still emerging. Most research findings primarily concentrate on three primary aspects: (1) concepts and analysis methods of low-carbon effects on the power grid [6][7][8], (2) feasible electric low-carbon technologies applied in power system [9][10][11][12][13], and (3) planning and operating targeting the carbon emission reduction [14][15][16][17][18][19]. As for (1), a number of studies have appeared.…”

Section: Modeling and Analysismentioning

confidence: 99%

“…Reference [6] proposed the structural identification and evaluation method of CO 2 emission in power system but did not sight into the specific PV carbon emission factors. Reference [7] established a hierarchical and partition low-carbon evaluation model considering PV and other kinds of distributed or traditional generation as the whole generation side, which is not specific enough for evaluation of the PV low-carbon effects. In reference [8] the low-carbon evaluation index system was established for calculating the carbon emissions during the whole life cycle of transmission and distribution system.…”

Section: Modeling and Analysismentioning

confidence: 99%

“…is the annual value converted from the present value of (7), which represents the PV cost per year. Equation (13) expresses the economic net income of the PV system for an entire year.…”

Section: Ebs Of Pv Generationmentioning

confidence: 99%

See 2 more Smart Citations

Models and methods for low‐carbon footprint analysis of grid‐connected photovoltaic generation from a distribution network planning perspective

Luo

Zhang

Wei

et al. 2017

Energy Science & Engineering

View full text Add to dashboard Cite

Solar energy is a clean energy resource, so the large‐scale deployment of photovoltaic (PV) power generation is of great significance for achieving carbon emission reductions in the electric power industry. This paper proposes models and methods for evaluation of the low‐carbon benefits of grid‐connected PV power generation projects. The carbon emission (or emission reduction) characteristics and the economic benefits of PV generation are analyzed using the following four metrics: generation capacity revenue, PV cost, loss efficiency improvement, and reserve capacity cost. The corresponding low‐carbon benefit models and economic benefit models are then established. By combining the low‐carbon and economic characteristics of photovoltaic power generation, a model is proposed for evaluating the low‐carbon comprehensive benefits (LCBs) of photovoltaic power generation and the concept of a carbon emission payback period (CPP) is put forward. Examples with typical operating data from real‐world applications are used to verify the validity of the models and methods proposed in this paper. The analysis results show that photovoltaic power generation has great potential in terms of low‐carbon comprehensive benefits compared with conventional power generation.

show abstract

Section: Modeling and Analysismentioning

confidence: 99%

Section: Modeling and Analysismentioning

confidence: 99%

See 1 more Smart Citation

Models and methods for low‐carbon footprint analysis of grid‐connected photovoltaic generation from a distribution network planning perspective

Luo

Zhang

Wei

et al. 2017

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…Some studies use input-output analysis (EIOA) to calculate the implied emission intensity or use a top-down approach to assess the environmental footprint (Gao et al, 2022), while other studies convert electricity into emissions by using the EIA factor to convert fuel into emissions where energy carbon emissions are imputed (Goldstein et al, 2020). Furthermore, some studies decouple the two models by introducing the concept of carbon emission flow attached to the power flow (Kang et al, 2015;Tian et al, 2015). In addition, relevant operating scenarios also include quantifying carbon emissions related to energy transmission (Cheng Y et al, 2018) and conversion processes in multi-energy systems, coordinating energy generation, transmission, conversion, and utilization across different energy sectors, paths, and time scales, and implementing a hierarchical process (Huang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Blockchain-based bilateral bidding market mechanism with carbon allocation on both supply and demand sides

Luo

Wang

Deng³

et al. 2022

Front. Energy Res.

View full text Add to dashboard Cite

Recently, the interaction between power generation and load has been continuously strengthened, providing a new method for realizing the decarbonization of the power system. An auction method that enables a low-carbon economic dispatch is designed in this study, where blockchain technology is employed to record the whole process data credibly. According to the regional division of market entities, carbon emissions are allocated to regions and entities by using the Owen value method. In order to reduce the expected carbon emission of entities, an additional carbon price is added to the original quotation through the allocation results. Case studies are conducted based on the typical output characteristics of wind and photovoltaic power generation in the bilateral bidding market hourly. The results have validated that the proposed method can reduce expected carbon emissions in the power system by prioritizing zero-carbon and low-carbon generation units.

show abstract

A hierarchical and partition low-carbon evaluation model for active power distribution grid

Cited by 2 publications

References 10 publications

Models and methods for low‐carbon footprint analysis of grid‐connected photovoltaic generation from a distribution network planning perspective

Models and methods for low‐carbon footprint analysis of grid‐connected photovoltaic generation from a distribution network planning perspective

Blockchain-based bilateral bidding market mechanism with carbon allocation on both supply and demand sides

Contact Info

Product

Resources

About