Multi-time scale dynamic analysis of integrated energy systems: An individual-based model

Wang, L.X.; Zheng, Jiehui; Li, M.S.; Lin, Xiaojie; Jing, Zhaoxia; Wu, Ping-Hao; Wu, Qing; Zhou, Xiaoxin

doi:10.1016/j.apenergy.2019.01.045

Cited by 51 publications

(17 citation statements)

References 40 publications

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“…The approach allows different power flow calculation methods to be used. In the EPS, these can be e. g., the Runge-Kutta method [25], the holomorphic embedded method [21] or the Newton-Raphson method [15]. In contrast, the DHS and GS are solved by a graph theory approach and the Newton-Raphson method.…”

Section: Introductionmentioning

confidence: 99%

A Joined Quasi-Steady-State Power Flow Calculation for Integrated Energy Systems

Dancker

Wolter

2022

IEEE Access

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The network storage capability of district heating systems and gas systems can provide a considerable flexibility in integrated energy systems, increasing the use of volatile renewable energy generation. But the stronger the single energy systems are linked the more complex their operation becomes due to their increased interactions. To ensure a secure and reliable system operation while using the full potential of integrated energy systems, these interactions must be analyzed. Existing power flow calculation methods, however, assume a steady-state behavior of all energy systems in the integrated energy system, neglecting the network storage capability. Hence, this paper presents a joined quasi-steady-state power flow calculation method for integrated energy systems. Our method introduces the dynamic behavior of the district heating system arising from the temperature propagation and the dynamic behavior of the gas system due to the gas compressibility and propagation of hydrogen. In a comparison with a steady-state power flow calculation we show the considerable effect of the network storage on the operation of an integrated energy system. As our method enhances existing steady-state power flow calculation methods, it can be easily used for the same use cases but allowing the full potential of integrated energy systems to be investigated.INDEX TERMS Quasi-steady-state, integrated energy system, power flow calculation, Newton-Raphson method, gradient method.

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Section: Introductionmentioning

confidence: 99%

A Joined Quasi-Steady-State Power Flow Calculation for Integrated Energy Systems

Dancker

Wolter

2022

IEEE Access

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“…This is an original method to tackle the energy flow of natural gas system, but the accuracy of the final solution depends on the number of segments. Moreover, Wang et al [7] proposed an individual-based model for the modeling of large-scale heterogenous IES considering the physical characteristics of EPS and DHS; this is an original idea for the model and energy flow analysis of IES, but there is a defect that it needs to tackle the issue of dimensionality reduction problem to improve computing efficiency. In [26], a fast decomposed method, combining the non-iterative technique HEM and the iterative method NR, was proposed to solve the energy flow of IES.…”

Section: Introductionmentioning

confidence: 99%

“…The restructuring of energy systems in several parts of the world has increased, and more and more attention is being paid to study the integrated energy system (IES), especially in the electric power system (EPS) coupled with NGS and district heating network (DHS) [1][2][3][4][5][6]. However, energy flow study is a fundamental tool for heterogenous energy systems planning and operations [7][8][9][10]. Thus, to have an effective operating of heterogenous integrated energy systems, it is essential to determine which method is efficient and suitable to analyze the energy flow of EPS, NGS, DHS and IES.…”

Section: Introductionmentioning

confidence: 99%

A variant of Newton–Raphson method with third‐order convergence for energy flow calculation of the integrated electric power and natural gas system

Zheng

Xiahou

et al. 2021

IET Generation Trans & Dist

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The energy flow calculation of the integrated electric power and natural gas system (IEGS) is generally tackled by the classical Newton–Raphson (NR) method with second‐order convergence. However, this method may fail to converge or incur oscillating iterations leading to heavy computation burden if the initial point is not selected properly, especially in heterogenous integrated energy systems containing the natural gas system. To handle this problem, a variant of Newton–Raphson method with third‐order convergence is proposed, which needs one function and two derivative evaluations per iteration without increasing the number of derivative evaluations. In order to verify the effectiveness of the proposed method, simulation studies are carried out on several different cases for the energy flow calculation of IEGS. Experiment results reveal that the proposed method is superior to the classical Newton–Raphson method and its other variants in terms of computational efficiency.

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“…Bejestani et al [11] pointed out that the interactive energy mechanism can be applied at multiple levels, including the resident side low-voltage network system, the medium-low voltage micro-grid system, the local area network system and the regional network system. Wan et al [12] proposed an individual-based model (IBM) for the modeling of large-scale heterogeneous complex systems. The IBM decouples the complex systems into independent individuals based on physical characteristics, which is applied to the modeling of heterogeneous integrated energy systems (IES) and the simulation of the multi-time-scale dynamics of the IES under conditions of disturbances and faults.…”

Section: Introductionmentioning

confidence: 99%

Research on Multi-Energy Coordinated Intelligent Management Technology of Urban Power Grid Under the Environment of Energy Internet

et al. 2019

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Integrated energy systems (IES) are an important physical carrier of the energy Internet, which undertakes the tasks of energy conversion, distribution, and storage of electricity, heat and cold. From the perspective of energy Internet, this paper studies the optimal operation scheduling of an urban power grid with a high proportion of clean energy and proposes a multi-energy coordinated intelligent management method for the urban power grid. Firstly, the structure and typical characteristics of urban energy Internet are researched. On this basis, the regulatory capacity of the adjustable generator set and the regenerative equipment is used to offset the volatility of renewable energy, the internal operating system, and network stable operation constraints are considered. To solve the model, alternating direction method of multipliers (ADMM) is used. Finally, a real-time power grid example is given to verify the effectiveness of the proposed method.

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Multi-time scale dynamic analysis of integrated energy systems: An individual-based model

Cited by 51 publications

References 40 publications

A Joined Quasi-Steady-State Power Flow Calculation for Integrated Energy Systems

A Joined Quasi-Steady-State Power Flow Calculation for Integrated Energy Systems

A variant of Newton–Raphson method with third‐order convergence for energy flow calculation of the integrated electric power and natural gas system

Research on Multi-Energy Coordinated Intelligent Management Technology of Urban Power Grid Under the Environment of Energy Internet

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