Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow

Zhang, Pan; Guo, Qinglai; Sun, Hongbin

doi:10.1016/j.apenergy.2015.10.095

Cited by 215 publications

(111 citation statements)

References 21 publications

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“…The above‐mentioned multienergy coupling and complementary systems are better than the traditional power systems in terms of distribution, diversity, and randomness; thus, traditional centralized dispatching and control modes are facing considerable challenges from the increasingly complex cyber‐physical‐social EI systems with high penetration of renewables. A consensus is gradually formed in such a way that the framework of future EMS with multienergy flow is bound to be decentralized autonomy and centralized coordination (or collaboration) …”

Section: The Conception Of Parallel Dispatchmentioning

confidence: 81%

“…To this end, it is necessary to conduct a comprehensive research on different energy flows in terms of their dynamics change process and characteristics, difference of response characteristics on time scales, and behavioral responses to dispatching instructions, and so on. For example, a research can be carried out on mixed time‐scale‐based optimal dispatching of multienergy flow systems . Such research is crucial to the investigations conducted in following sections on the PML‐based optimal dispatching issues of cyber‐physical‐social EI system with different time scales.…”

Section: Implementations On Pml‐based Sas Modeling For the Proposed Pdrmentioning

confidence: 99%

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Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective

Cheng

2019

Int J Energy Res

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Summary Energy internet (EI) is a complex coupled multienergy system; it is essential to investigate its multienergy dispatching optimization issues. To this end, this paper first proposes a novel conception of smart dispatching for EI with a complex cyber‐physical‐social system (CPSS) network from the perspective of parallel dispatch, called parallel dispatching robot (PDR), and investigates the implementations of PDR based on smart artificial society (SAS) modeling. First, we introduce EI and describe the dispatching issues of EI. Second, we discuss several important concepts supporting the parallel dispatch conception of EI, including knowledge automation (KA), CPSS, and parallel machine learning (PML). On the basis of these, we elaborate the concept of parallel dispatch. Moreover, we construct a large closed‐loop feedback control framework of parallel dispatch for EI integrating a CPSS network based on KA and PML. Third, we establish an experimental platform for PDR research based on the proposed parallel dispatch framework. Fourth, we develop the PML‐based SAS models of a single PDR in centralized dispatching modes and group PDRs in decentralized dispatching modes to achieve crowd wisdom emergence and performance improvement in current cyber‐physical system frameworks of EI. Moreover, we design an external global closed loop for PDR to evaluate its operation stability. Lastly, we conduct a detailed discussion on PDR and offer some prospects for its engineering implementations. The biggest innovation of this paper lies in systematically proposing the smart dispatching concept and framework for complex CPSS‐based EI from the perspective of parallel dispatch and thoroughly investigating how to use SAS modeling to implement parallel dispatching and control for EI considering human and social factors, which is a major extension and theoretical improvement to existing single smart wide area robot concept and a preliminary attempt in investigating a shift from Energy 4.0 to Energy 5.0 in China.

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Section: The Conception Of Parallel Dispatchmentioning

confidence: 81%

Section: Implementations On Pml‐based Sas Modeling For the Proposed Pdrmentioning

confidence: 99%

Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective

Cheng

2019

Int J Energy Res

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“…Because the conventional analysis method of thermal system is totally different from that of power system, most scholars studied integrated electrical and thermal energy systems by considering the thermal energy conservation constraint solely, but ignoring the heat transfer constraints [22][23][24], which cannot fully reflect the effect of thermal parameters on the system performance. Recently, Chen et al [25,26] introduced a power flow method for analysis of heat transfer systems, which is similar to that for power systems.…”

Section: Introductionmentioning

confidence: 99%

Heat recovery and storage installation in large-scale battery systems for effective integration of renewable energy sources into power systems

Chen

Zhao

2017

Applied Thermal Engineering

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“…In [20], an electric-thermal-gas mixed power flow algorithm which treat the heat load as a fixed value is proposed, considering the constraints of power network and gas network is in different coupling forms and energy supply modes, the literature gives three modes of operation of the regional integrated energy system: the complete decoupling, partial coupling and full coupling. In addition, considering the large difference of time scale between the three energy sources of electricity, heat and gas in the multi-energy flow system, the literature [21] studied the mechanism and process of influence on the electrical and thermal coupling networks considering the time scale characteristics when various disturbances occurred.…”

Section: Energy Flow Calculationmentioning

confidence: 99%

A Summary of the Main Contents and Existing Problems in the Study of Multi-Energy Coupling in Energy Internet

Li¹,

Li²,

Yang³

et al. 2017

EPE

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Multi-energy flow (MEF) coupling is one of the key features of the energy Internet and integrated energy systems that are different from smart grids. With the increasing coupling of heterogeneous energy flow, the system characteristics of coupling are becoming more and more obvious and more complicated. The modeling, analysis and control methods of traditional single flow systems have not been applied directly. Therefore, it is necessary to study the modeling of multi-energy flow coupling, the power flow analysis, optimization and control method of heterogeneous energy flow, which plays the role of multi-energy flow synergy to avoid the adverse effects of coupling. This paper summarizes the current research situation of energy Internet at home and abroad from the aspects of modeling of multi-energy flow, power flow calculation and optimal dispatching, and analyzes the existing problems in the research of these aspects.

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Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow

Cited by 215 publications

References 21 publications

Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective

Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective

Heat recovery and storage installation in large-scale battery systems for effective integration of renewable energy sources into power systems

A Summary of the Main Contents and Existing Problems in the Study of Multi-Energy Coupling in Energy Internet

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