Energy-Circuit-Based Integrated Energy Management System: Theory, Implementation, and Application

Chen, Binbin; Guo, Qinglai; Yin, Guanxiong; Wang, Bin; Zhang, Pan; Chen, Yuwei; Wu, Wenchuan; Sun, Hongbin

doi:10.1109/jproc.2022.3216567

Cited by 38 publications

(10 citation statements)

References 101 publications

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“…In order to realize the formal unification of the heterogeneous energy network model, in Reference 30 the heterogeneous energy flow is calculated. For this purpose, the gas network and thermodynamic network are represented as one energy circuit diagram, which is connected topologically by several branches containing such energy circuit components as gas resistors, thermal resistors based on the united energy circuit theory proposed in References 31, 32. It is shown in Figure 4.…”

Section: Topological Network Model Of Iesmentioning

confidence: 99%

Reliability assessment of integrated energy systems based on complex network theory

Pan

Yan

Gao

et al. 2022

Engineering Reports

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As integrated energy systems (IES) continue to undergo development and advancement, the degree of coupling between subsystems and their complexity are also on the rise, posing a challenge for the reliability assessment of such systems. The conventional method is unable to explain the interaction between subsystems as well as system-level phenomena. The complex network theory is needed to provide a deeper analysis. Firstly, this paper introduces the basic concept and analysis tools of complex network theory. Secondly, the topological network model and the identification indexes of weak links for the IES are summarized as the basis for reliability assessment. Then, the reliability assessment indexes and assessment methods are sorted out for the IES based on the complex network theory; and further, the measures to optimize the reliability of the IES are put forward. Finally, from the perspective of complex network theory, directions for future research on the reliability assessment of IES are suggested.

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Section: Topological Network Model Of Iesmentioning

confidence: 99%

Reliability assessment of integrated energy systems based on complex network theory

Pan

Yan

Gao

et al. 2022

Engineering Reports

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“…However, it does not consider the slow dynamic process of the heating system. References 7, 8 deduced the thermal circuit model and hydraulic circuit model in the heating system by using the form of bus similar to power system, and simplified the model to algebraic equation by Fourier transform and two‐port equivalence, thus forming the hydraulic network model and thermal network model of the heating system, which can describe the branch characteristics and topological constraints of the heating network. In the above modeling process, the heating system model was simplified.…”

Section: Introductionmentioning

confidence: 99%

Research on multi‐time scale modeling and interaction of electro‐thermal coupling integrated energy system

Tang

Feng

Liu

et al. 2023

Engineering Reports

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With the enhancement of the coupling degree and interaction of the electro‐thermal integrated energy system, the fault propagation characteristics under multi‐time scale characteristics become more complex, which may trigger cascading failures and affect the safe operation of the system. Therefore, this article proposes to construct a multi‐time scale comprehensive model based on the steady‐state model and quasi‐dynamic model of electro‐thermal coupling integrated energy system, and uses the strategy of global iteration combined with local simultaneous solution to calculate the energy flow distribution of electro‐thermal coupling system under multi‐time scale. Combined with the characteristics of multi‐time scale energy flow distribution, the interaction mechanism and the fault propagation process of electro‐thermal coupling are analyzed. The simple electro‐thermal coupling integrated energy system and Barry Island electro‐thermal coupling integrated energy system are used as examples to analyze the electro‐thermal coupling characteristics and interaction of the system. The calculation results show that the disturbance of both electrical and heat loads will have a certain impact on the power system and heating system. Due to the thermal inertia of the heating system, there is a large time delay of fault propagation in the heating system. In the process of operation and scheduling of the electro‐thermal coupling integrated energy system, the slow dynamic characteristics of the heating system and the positive effect of thermal inertia on resisting the uncertainty factors in the system should be fully considered.

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“…In the research into optimization modeling and solving methods, Ge et al [10] depicted the dynamic characteristics of energy in the IES through the energy network theory and described the network characteristics by using the energy quality characteristics. Chen et al [11,12] constructed a general branch power flow model of grid, gas network and heat network according to the conservation of mass, conservation of energy and Kirchhoff equations. For the electric-heating-gas regional IES, Wu et al [13] summarized four modes based on different CHP unit operation modes, grid-connected conditions and whether there is electricity-to-gas energy storage, and research on the multi-energy power flow calculation algorithm and process.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimization Method of Integrated Energy System Network Planning

et al. 2023

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The development of an integrated energy system (IES) is conducive to promoting the transformation of the energy system and helping to achieve the ‘double carbon’ goal in China. The IES integrates cooling, heating, electricity, gas, and other energy resources, which is significantly more difficult than single energy network planning. This paper systematically sorts out the process of IES network planning and proposes an improved methodology. Firstly, the bottom-up dynamic multiple-load forecasting method of 8760 h a year is proposed as the basis of system configuration and capacity selection. Subsequently, a planning method for energy station location and route optimization using the Dijkstra algorithm is constructed by applying the P-median optimization model. Finally, when optimizing the capacity allocation of the IES, the complementary characteristics of natural gas, electricity and heat, as well as the corresponding energy demand characteristic, have been fully considered, so that the optimization objectives can be reasonably determined. Through the actual calculation, it is found that the optimization method proposed in this paper can reduce the construction cost of the network by 41%. The work combines the process of energy network planning and capacity configuration of IES, which provides a simple, easy and economical solution for IES planning in new areas.

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Energy-Circuit-Based Integrated Energy Management System: Theory, Implementation, and Application

Cited by 38 publications

References 101 publications

Reliability assessment of integrated energy systems based on complex network theory

Reliability assessment of integrated energy systems based on complex network theory

Research on multi‐time scale modeling and interaction of electro‐thermal coupling integrated energy system

Research on Optimization Method of Integrated Energy System Network Planning

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