An interval gas flow analysis in natural gas and electricity coupled networks considering the uncertainty of wind power

Qiao, Zheng; Guo, Qinglai; Sun, Hongbin; Zhang, Pan; Liu, Yuquan; Xiong, Wen

doi:10.1016/j.apenergy.2016.12.020

Cited by 134 publications

(43 citation statements)

References 27 publications

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“…In this way, by using square difference formula, only a calculation of interval multiplication is needed to be performed when [J G ] is calculated by [ f mn ], while addition and subtraction is performed by affine mathematics. Hence, the results will be more accurate by using (30) and (31):…”

Section: Improvement Of [J G ]mentioning

confidence: 99%

“…A power flow calculation method based on interval mathematics is proposed in Ref. [29], and an interval gas flow model considering the uncertainty of wind power is analyzed in [30].Considering that the interval mathematics provides an approach to describe the uncertain information, which only needs upper and lower bounds of uncertainties, interval mathematics is applied to calculate the energy flow and analyze the impact of the uncertainties in the operating IENGS. So, this paper is aimed at the analysis of energy flow considering various uncertainties that may occur in the operating IENGS.…”

mentioning

confidence: 99%

“…A power flow calculation method based on interval mathematics is proposed in Ref. [29], and an interval gas flow model considering the uncertainty of wind power is analyzed in [30].…”

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confidence: 99%

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Interval Energy Flow Analysis in Integrated Electrical and Natural-Gas Systems Considering Uncertainties

Wang

Yuan

2019

Energies

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As integrated electrical and natural-gas systems (IENGS) are popularized, the uncertainties brought by variation of electrical load, power generation, and gas load should not be ignored. The aim of this paper is to analyze the impact of those uncertain variables on the steady-state operation of the whole systems. In this paper, an interval energy flow model considering uncertainties was built based on the steady-state energy flow. Then, the Krawczyk-Moore interval iterative method was used to solve the proposed model. To obtain precise results of the interval model, interval addition and subtraction operations were performed by affine mathematics. The case study demonstrated the effectiveness of the proposed approach compared with Monte Carlo simulation. Impacts of uncertainties brought by the variation of electrical load, power generation, and gas load were analyzed, and the convergence of energy flow under different uncertainty levels of electrical load was studied. The results led to the conclusion that each kind of uncertainties would have an impact on the whole system. The proposed method could provide good insights into the operating of IENGS with those uncertainties. gas (P2G) and gas-fired power generation in the IENGS in Ref. [16]. Since the turboexpander is also commonly used to strongly link the electrical and gas networks, Ref. [17] investigates operational parameters of natural-gas regulation stations (GRS), which influence the efficiency of the gas expansion process and determine selection criteria for a cost-effective application of turboexpanders at selected GRS. The turboexpander has been combined in a CHP plant that supplies a district heating network, in order to save energy and reduce CO 2 emissions by means of smart systems integration in Ref. [18]. The steady-state energy flow considering time-scale characteristics has also been analyzed [19][20][21][22]. A multitemporal simulation model is presented to carry out integrated analysis of electricity, heat, and gas distribution networks, with specific applications to multivector district energy systems in Ref. [19]. A modified teaching-learning-based optimization algorithm is utilized to solve the multiperiod optimal energy flow of multicarrier energy networks in Ref. [20]. Ref.[21] proposes a quasi-steady multienergy flow model and calculates the energy flow of electricity and heating systems considering the time-scale characteristics. An integrated simulation model has been proposed considering the impacts of interdependencies between electricity and natural-gas systems in terms of security of energy supply in Ref. [22].However, the uncertainties of IENGS are not considered in the above references. There are some papers considering the effect of uncertainties and disturbances in Model Predictive Control (MPC) [23], DC microgrid [24], damping the power swings [25], and optimal power flow [26]. Actually, there exist some kinds of uncertain factors in the operating IENGS, such as power load, gas load, and power generation. A probabilistic energy...

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Section: Improvement Of [J G ]mentioning

confidence: 99%

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confidence: 99%

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Interval Energy Flow Analysis in Integrated Electrical and Natural-Gas Systems Considering Uncertainties

Wang

Yuan

2019

Energies

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“…Natural gas has become an important and promising alternative fuel for power systems, as compared to traditional fossil fuels such as coal or oil, owing to low pollutant emission, high energy conversion efficiency, and technology improvements of gas turbines. Indeed, the total installed capacity of natural gas generators has been continually increasing since the 1980s, which accounts for over 70% of total installed generation capacity in Qatar and Malaysia, about 40%-60% in Holland and Argentina, and about 20%-40% in Britain, Japan, and Italy now [1,2].…”

Section: Introductionmentioning

confidence: 99%

Integrated coordination scheduling framework of electricity-natural gas systems considering electricity transmission N − 1 contingencies and gas dynamics

Chen

Bao

2019

J. Mod. Power Syst. Clean Energy

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This paper discusses a security-constrained integrated coordination scheduling framework for an integrated electricity-natural gas system (IEGS), in which both tight interdependence between electricity and natural gas transmission networks and their distinct dynamic characteristics at different timescales are fully considered. The proposed framework includes two linear programming models. The first one focuses on hour-based steady-state coordinated economic scheduling on power outputs of electricity generators and mass flow rates of natural gas sources while considering electricity transmission N -1 contingencies. Using the steady-state mass flow rate solutions of gas sources as the initial value, the second one studies second-based slow gas dynamics and optimizes pressures of gas sources to ensure that inlet gas pressure of gas-fired generator is within the required pressure range at any time between two consecutive steady-state scheduling. The proposed framework is validated via an IEGS consisting of an IEEE 24-bus electricity network and a 15-node 14-pipeline natural gas network coupled by gasfired generators. Numerical results illustrate the effectiveness of the proposed framework in coordinating electricity and natural gas systems as well as achieving economic and reliable operation of IEGS.

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“…A general multiple energy carrier power flow model was developed based on nodal power balance, and line losses were calculated as polynomial functions of the corresponding power flow [16]. The nonlinear model of the gas network was formulated in detail containing gas well, gas pipeline, gas compressor, gas loads, and so on [17][18][19]. In [20], a natural gas network system was incorporated in IES, and the gas shift matrix, similar to the generation shift factor in DC power flow model, was formulated to linearize the pipeline flow equation so that the computational efficiency was improved.…”

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confidence: 99%

Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies

et al. 2018

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Multi-energy carriers system (MECS), in which diverse energy carriers and different energy systems interact together, has drawn the interest of many researchers in recent years. However, the optimal economic operational model of the MECS is a nonlinear, multi-variable, and multi-period problem, of which it is difficult to find the solution because several different energy flows are integrated in the system. To this end, three interest bodies in the MECS were investigated, which included the energy provider, the energy facilitator, and the energy consumer, and a hierarchical optimal economic operation strategy was then presented. A hybrid optimization strategy combining the swarm intelligence algorithm and interior point method was developed taking advantage of the merits of each method. Case studies were conducted to verify the effectiveness of the proposed hierarchical optimal economic operation strategy, whereby demonstrating that the proposed strategy can achieve rational energy allocation and decrease the energy cost in the MECS compared with traditional energy systems.

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An interval gas flow analysis in natural gas and electricity coupled networks considering the uncertainty of wind power

Cited by 134 publications

References 27 publications

Interval Energy Flow Analysis in Integrated Electrical and Natural-Gas Systems Considering Uncertainties

Interval Energy Flow Analysis in Integrated Electrical and Natural-Gas Systems Considering Uncertainties

Integrated coordination scheduling framework of electricity-natural gas systems considering electricity transmission N − 1 contingencies and gas dynamics

Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies

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