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 5 publications

(2 citation statements)

References 18 publications

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“…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

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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.

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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

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“…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.

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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.

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Integrated energy system scheduling considering the correlation of uncertainties

Huang,

Lu,

Chen

et al. 2023

Energy

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

Cited by 5 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

Integrated energy system scheduling considering the correlation of uncertainties

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