Probabilistic multi-energy flow calculation method for integrated heat and electricity systems considering correlation of source–load power

Jiang, Hui; Yang, Peng; Liu, Chunming; Kang, Lan; Zhang, Xiaoming; Zhang, Zilei; Fan, Pengxiang

doi:10.1016/j.egyr.2022.12.140

Cited by 14 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zhou et al 6 constructed an IES optimal scheduling strategy in the electric‐nature gas coupling model, verified that the energy coupling system can improve the capacity of wind power utilization. Jiang et al 7 considers the uncertainty of wind power, and verifies that the electric–thermal coupling system can effectively against the uncertainty of wind power and improve the consumption of wind power. Chen et al 8 constructed an IES optimal scheduling strategy in the electric–thermal–nature gas coupling model and verified that the multienergy complementary mode can improve the economy of scheduling strategy.…”

Section: Introductionmentioning

confidence: 99%

Research on bi‐layer low carbon scheduling strategy for source‐load collaborative optimization based on node carbon emission intensity

Liu

2024

Energy Science & Engineering

View full text Add to dashboard Cite

To accurately calculate the carbon emission of integrated energy system (IES), and fully explore the potential for load side on carbon emission reduction, this paper proposes a method of guiding load to participate in demand response based on node carbon emission intensity, and constructs a bi‐layer low‐carbon scheduling model for source‐load collaborative optimization. First, the carbon flow calculation model of IES in the total process is established, such as source, network, load, and storage. It can depict the carbon emission characteristics of energy conversion equipment and energy storage devices. The principle of proportional sharing is used to track carbon emission flows, the changes in carbon emission intensity at each node is perceived from a spatiotemporal perspective. Second, carbon flow analysis is incorporated into the load demand response mechanism, and a carbon emission model for load aggregator (LA) after demand response is established based on the node carbon emission intensity. Third, a bi‐layer low‐carbon scheduling model is constructed, which considers the source‐load collaborative optimization. The upper layer is the optimal economic dispatch of IES operators, while the lower layer is the optimal economic dispatch of LAs. Finally, the effectiveness of the proposed method is verified using the system as an example, such as improved 14‐node power grid, 6‐node heating network, and 6‐node nature gas network.

show abstract

Section: Introductionmentioning

confidence: 99%

Research on bi‐layer low carbon scheduling strategy for source‐load collaborative optimization based on node carbon emission intensity

Liu

2024

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…In recent years, numerous scholars have found that the equipment configuration of distributed energy stations and the pipeline planning between stations in the IES can realize the complementarity of energy between different regions. Reference [1][2][3] for the purpose of optimal net gain considering constraints such as balanced-energy designs optimization model. Reference [4,5] analyzes the four energy systems and sets up the economic enhancement dispatch pattern of the park IES with the expenditure volume of aiming for build and operate, constructs the model around the independent equipment and coupling equipment in the system, and excavates the carbon emission measurement and carbon trading methods.…”

Section: Introductionmentioning

confidence: 99%

Operation optimization method of integrated energy system in park considering carbon transaction cost

Han,

Teng

2024

E3S Web Conf.

View full text Add to dashboard Cite

Considering the demand of energy consumption and carbon reduction in industrial parks, combined with the coupling relationship of different energy conversion and the characteristics of equipment operation, the typical equipment in the park is modeled. Based on the carbon emission allocation, the carbon transaction cost is quantified, and the operation optimization method of the integrated energy system(IES) for park is proposed with goal of economy and low carbon. Taking an industrial park as an example, the results of the two scenarios of subsystem discrete operation and integrated energy system optimal operation are analyzed. The results show that the construction of IES in park found on carbon trading and the optimization method have a significant effect on the realization of energy saving and carbon reduction and cost reduction.

show abstract

“…Arabic language learning is an example of learning that is fun to learn, understanding the material is very characteristic of its own (Achar et al, 2018;Elhoshi et al, 2023;Talaviya, 2020). For this reason, in its continuity, this learning has also begun to be developed in line with the use of increasingly sophisticated technology (Baldos et al, 2019;Jiang et al, 2023;Koçak, 2019), with the use of Arabic language learning technology will show if this learning is able to compete in technological developments, in its design many features are found that can support Arabic language learning in achieving its learning existence based on technology (Ahn & Lee, 2021;Aljizawi et al, 2021;Humaisi et al, 2019), it is undeniable that the features that support this are still equipped with a deep understanding of the material, vocabulary, reading, and exercises, as well as learning videos, one of the technological fractions that support the development of learning systems is this Artificialt Intelligent, this application is a kind of artificial intelligence robot that will help increase students' knowledge in learning (Abduljabbar, 2019;Bakytbekov et al, 2023;De Vries et al, 2023). This media will help user adaptation in improving the quality of learning by humans.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence as a Support for Arabic Language Learning in Higher Education with VOSviewer Analysis

Morales,

Lopez,

Joanan

et al. 2023

J. Journal International Inspire Education Technology

View full text Add to dashboard Cite

The world is increasingly showing the progress of human resources in the field of science and technology, and the development of knowledge about this technology also continues to accelerate rapidly with the discovery of many features that have sprung up to be utilized according to human technological needs. Especially in the field of education, the development of technology-based features is also increasing, supported by technology-based learning systems. Newly emerging learning systems, such as an online machine-based intelligence apk that performs class teaching movements according to the connection provided by humans, this effort is a type of association in the interaction between robots and humans with correspondences that are linked between signals and movements. In this case, the robot provides an educational learning system with a discourse recognition process. The use of robots in learning Arabic in higher education also shows how an educational institution designs the latest technology-based learning system with the use of online robots to assist the learning process in the classroom. This online robot learning system is closely related to the use of supporting wireless network cables in the online robot association; therefore, a bibliometric analysis will be carried out on the use of artificial intelligence in supporting Arabic language learning in higher education with the help of VOSviewer. The results of the VOSviewer overview will provide conclusions about the extent to which artificial intelligence effectively supports Arabic language learning in higher education.

show abstract

Probabilistic multi-energy flow calculation method for integrated heat and electricity systems considering correlation of source–load power

Cited by 14 publications

References 18 publications

Research on bi‐layer low carbon scheduling strategy for source‐load collaborative optimization based on node carbon emission intensity

Research on bi‐layer low carbon scheduling strategy for source‐load collaborative optimization based on node carbon emission intensity

Operation optimization method of integrated energy system in park considering carbon transaction cost

Artificial Intelligence as a Support for Arabic Language Learning in Higher Education with VOSviewer Analysis

Contact Info

Product

Resources

About