Natural gas and electricity optimal power flow

An, Seungwon; Li, Qing; Gedra, T.W.

doi:10.1109/tdc.2003.1335171

Cited by 81 publications

(26 citation statements)

References 19 publications

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“…The traditional topological representation is a graph composed of nodes and links. Interconnection points are represented by nodes, and compressors and pipelines are represented by links [21,22]. Gas supplies and loads are not included.…”

Section: Gas Network Modelmentioning

confidence: 99%

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Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures

2019

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In this paper, we evaluate the use of statistical indexes from graph theory as a possible alternative to power-flow techniques for analyzing cascading failures in coupled electric power and natural gas transmission systems. Both methodologies are applied comparatively to coupled IEEE and natural gas test networks. The cascading failure events are simulated through two strategies of network decomposition: Deliberate attacks on highly connected nodes and random faults. The analysis is performed by simulating successive N-k contingencies in a coupled network, where the network structure changes with the elimination of each node. The suitability of graph-theoretic techniques for assessing the vulnerability of interdependent electric power and natural gas infrastructures is demonstrated.

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Section: Gas Network Modelmentioning

confidence: 99%

“…The IEEE-57 bus network consists of 42 loads, 17 transformers, 80 lines, 3 capacitors, and 7 generators [34]. • It is assumed that generators 1, 2, 3, 6, 8, and 9 are natural gas combined-cycle power plants fed by gas network nodes 22,14,15,9,5, and 1, respectively. The operation characteristics of the coupled generators are presented in Table A1.…”

mentioning

confidence: 99%

Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures

2019

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“…Integrated natural gas and electric optimal power flow 12,13 and optimal unit commitment with natural gas security constraints [14][15][16] have been proposed, in addition to techniques for short-term operation 17-21 and expansion planning 22,23 . Those studies rely on the steady-state Weymouth equations 24,25 , which do not capture the dynamic fluctuations that lead to intra-day gas supply issues.…”

Section: A Modeling Of the Gas And Grid Couplingmentioning

confidence: 99%

Cascading of fluctuations in interdependent energy infrastructures: Gas-grid coupling

2015

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The revolution of hydraulic fracturing 1 has dramatically increased the supply and lowered the cost of natural gas in the United States driving an expansion of natural gas-fired generation capacity in many electrical grids 2. Unrelated to the natural gas expansion, lower capital costs 3 and renewable portfolio 4 standards are driving an expansion of intermittent renewable generation capacity such as wind and photovoltaic generation. These two changes may potentially combine to create new threats to the reliability of these interdependent energy infrastructures. Natural gas-fired generators are often used to balance the fluctuating output of wind generation. However, the time-varying output of these generators results in time-varying natural gas burn rates that impact the pressure in interstate transmission pipelines. Fluctuating pressure impacts the reliability of natural gas deliveries to those same generators and the safety of pipeline operations. We adopt a partial differential equation model of natural gas pipelines and use this model to explore the effect of intermittent wind generation on the fluctuations of pressure in natural gas pipelines. The mean square pressure fluctuations are found to grow linearly in time with points of maximum deviation occurring at the locations of flow reversals.

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“…Most research has thus far focused on the operational or structural optimization of the microgrid (MG) and its infrastructures independently [1]. A few recent publications have, however, shown interest in the operation and planning of multi-carrier energy systems simultaneously, instead of focusing on a single carrier [2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of a Multi-Carrier Microgrid (MCMG) Considering Net Zero Emission

2017

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Abstract:In this paper, a two-stage optimum planning and design method for a multi-carrier microgrid (MCMG) is presented in the targeted operation period considering energy purchasing and the component's maintenance costs. An MCMG is most likely owned by a community or small group of public and private sectors comprising loads and distributed energy resources (DERs) with the ability of self-supply to regulate the flows of various energies to local consumers. The operation cost is undoubtedly reduced by selecting the proper components. In the proposed model, the investment and operation and maintenance costs of MCMG are simultaneously carried out in order to choose the right component and its size in the given period. Moreover, in this innovative model, net zero emission (NZE) is regarded as an environmental constraint. The genetic algorithm of MATLAB and the mixed-integer nonlinear programming (MINLP) technique of GAMS (general algebraic modeling system) software are used to solve the optimization problem. Illustrative examples show the efficiency of the proposed model.

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Natural gas and electricity optimal power flow

Cited by 81 publications

References 19 publications

Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures

Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures

Cascading of fluctuations in interdependent energy infrastructures: Gas-grid coupling

Optimal Design of a Multi-Carrier Microgrid (MCMG) Considering Net Zero Emission

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