A Unified Gas and Power Flow Analysis in Natural Gas and Electricity Coupled Networks

Martinez-Mares, Alberto; Fuerte‐Esquivel, Claudio R.

doi:10.1109/tpwrs.2012.2191984

Cited by 360 publications

(160 citation statements)

References 14 publications

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“…In this paper, the Weymouth steady-state power flow model is used to describe the relationship between gas flow in the pipeline and pressure at both ends of the pipeline [10]: …”

Section: Gas Flow Model Of Natural Gas Pipelinementioning

confidence: 99%

“…A flat startup is used in the power system, assigning voltage magnitude to 1 and angle to 0. The initial value for the natural gas system can be set by solving a linearized optimal gas flow problem according to [10]. 3) Substitute the values of unknown variables X(iter) into the correction equation (18), so the constant term DW(iter) and coefficient matrix J ac (iter) can be obtained.…”

Section: Unified Flow Equation In Coupled Systemmentioning

confidence: 99%

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Unified probabilistic gas and power flow

Lian

Bie

et al. 2017

J. Mod. Power Syst. Clean Energy

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The natural gas system and electricity system are coupled tightly by gas turbines in an integrated energy system. The uncertainties of one system will not only threaten its own safe operation but also be likely to have a significant impact on the other. Therefore, it is necessary to study the variation of state variables when random fluctuations emerge in the coupled system. In this paper, a multislack-bus model is proposed to calculate the power and gas flow in the coupled system. A unified probabilistic power and gas flow calculation, in which the cumulant method and Gram-Charlier expansion are applied, is first presented to obtain the distribution of state variables after considering the effects of uncertain factors. When the variation range of random factors is too large, a new method of piecewise linearization is put forward to achieve a better fitting precision of probability distribution. Compared to the Monte Carlo method, the proposed method can reduce computation time greatly while reaching a satisfactory accuracy.The validity of the proposed methods is verified in a coupled system that consists of a 15-node natural gas system and the IEEE case24 power system.

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“…In this paper, the Weymouth steady-state power flow model is used to describe the relationship between gas flow in the pipeline and pressure at both ends of the pipeline [10]: …”

Section: Gas Flow Model Of Natural Gas Pipelinementioning

confidence: 99%

Section: Unified Flow Equation In Coupled Systemmentioning

confidence: 99%

Unified probabilistic gas and power flow

Lian

Bie

et al. 2017

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

show abstract

“…The distributed DHCs also serve as gas loads in the gas network, and they also purchase power from the electricity network. In addition, the system parameters and prices are set according to [5,27,32].…”

Section: System Descriptionmentioning

confidence: 99%

Many-objective optimization for coordinated operation of integrated electricity and gas network

Kou

Zheng

2017

J. Mod. Power Syst. Clean Energy

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This paper develops a many-objective optimization model, which contains objectives representing the interests of the electricity and gas networks, as well as the distributed district heating and cooling units, to coordinate the benefits of all parties participated in the integrated energy system (IES). In order to solve the many-objective optimization model efficiently, an improved objective reduction (IOR) approach is proposed, aiming at acquiring the smallest set of objectives. The IOR approach utilizes the Spearman's rank correlation coefficient to measure the relationship between objectives based on the Pareto-optimal front captured by the multi-objective group search optimizer with adaptive covariance and Lévy flights algorithm, and adopts various strategies to reduce the number of objectives gradually. Simulation studies are conducted on an IES consisting of a modified IEEE 30-bus electricity network and a 15-node gas network. The results show that the many-objective optimization problem is transformed into a bi-objective formulation by the IOR. Furthermore, our approach improves the overall quality of dispatch solutions and alleviates the decision making burden.

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“…The case study of Brazilian integrated electricity and gas system is studied. Reference [28] focuses on integrated formulation of steady state analysis of electricity and gas systems considering the effect of temperature in the natural gas system operation, and distributed slack node technique in the electricity network. The Newton-Raphson formulation is used to demonstrate the applicability of the proposed approach on Belgian gas network combined with the IEEE-14 test system.…”

Section: Network Dg Capacity Assessmentmentioning

confidence: 99%

Optimal capacity and location assessment of natural gas fired distributed generation in residential areas

Kamdar

Karady

2014

2014 Clemson University Power Systems Conference

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With ever increasing use of natural gas to generate electricity, installed natural gas fired microturbines are found in residential areas to generate electricity locally. This research work discusses a generalized methodology for assessing optimal capacity and locations for installing natural gas fired microturbines in distribution residential network.The overall objective is to place microturbines to minimize the system power loss occurring in the electrical distribution network; in such a way that the electric feeder does not need any up-gradation. The IEEE 123 Node Test Feeder is selected as the test bed for validating the developed methodology. Three-phase unbalanced electric power flow is run in OpenDSS through COM server, and the gas distribution network is analyzed using GASWorkS. The continual sensitivity analysis methodology is developed to select multiple DG locations and annual simulation is run to minimize annual average losses.The proposed placement of microturbines must be feasible in the gas distribution network and should not result into gas pipeline reinforcement. The corresponding gas distribution network is developed in GASWorkS software, and nodal pressures of the gas system are checked for various cases to investigate if the existing gas distribution network can accommodate the penetration of selected microturbines. The results indicate the optimal locations suitable to place microturbines and capacity that can be accommodated by the system, based on the consideration of overall minimum annual average losses as well as the guarantee of nodal pressure provided by the gas distribution network. The proposed method is generalized and can be used for any IEEE test feeder or an actual residential distribution network.ii ACKNOWLEDGMENTS

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A Unified Gas and Power Flow Analysis in Natural Gas and Electricity Coupled Networks

Cited by 360 publications

References 14 publications

Unified probabilistic gas and power flow

Unified probabilistic gas and power flow

Many-objective optimization for coordinated operation of integrated electricity and gas network

Optimal capacity and location assessment of natural gas fired distributed generation in residential areas

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